* The List of All Active Datasets in this ERDDAP *

Summary:
This dataset is a table which has a row of information for each dataset currently active in this ERDDAP.

cdm_data_type = Other
VARIABLES:
datasetID (Dataset ID)
accessible
institution
dataStructure (Data Structure)
cdm_data_type (Common Data Model Type)
class (ERDDAP Class)
title
minLongitude (Minimum Longitude, degrees_east)
maxLongitude (Maximum Longitude, degrees_east)
longitudeSpacing (Average Grid Longitude Spacing, degrees_east)
minLatitude (Minimum Latitude, degrees_north)
maxLatitude (Maximum Latitude, degrees_north)
latitudeSpacing (Average Grid Latitude Spacing, degrees_north)
minAltitude (Minimum Altitude (or negative Depth), m)
maxAltitude (Maximum Altitude (or negative Depth), m)
minTime (Minimum Time, seconds since 1970-01-01T00:00:00Z)
maxTime (Maximum Time, seconds since 1970-01-01T00:00:00Z)
timeSpacing (Average Grid Time Spacing, seconds)
griddap (Base URL of OPeNDAP Grid Service)
subset (URL of Subset Web Page)
tabledap (Base URL of OPeNDAP Table/Sequence Service)
MakeAGraph (URL of Make-A-Graph Web Page)
sos (Base URL of SOS Service)
wcs (Base URL of WCS Service)
wms (Base URL of WMS Service)
files (Base URL of "files" Service)
... (10 more variables)

Pacific Islands Ocean Observing System (PacIOOS)


Aggregation of Air measurements collected in situ by Datawell Waverider buoys.

Summary:
Air measurements collected in situ by Datawell Waverider buoys.

cdm_data_type = TimeSeries
VARIABLES:
station_id
time (UTC sample time, seconds since 1970-01-01T00:00:00Z)
cat4AirTemperature (air temperature at 2m above sea surface, degree_C)
cat4FlagPrimary (primary cat4 QC flag)
cat4FlagSecondary (secondary cat4 QC flag)
cat4SourceIndex (source file index)
metaStationName (station name)
latitude (deployment latitude, degrees_north)
longitude (deployment longitude, degrees_east)


Aggregation of SST measurements collected in situ by Datawell Waverider buoys.

Summary:
Sea surface temperature measurements collected in situ by Datawell Waverider buoys.

cdm_data_type = TimeSeries
VARIABLES:
station_id
time (UTC sample time, seconds since 1970-01-01T00:00:00Z)
sstSeaSurfaceTemperature (sea surface temperature, degree_C)
sstFlagPrimary (primary sst QC flag)
sstFlagSecondary (secondary sst QC flag)
sstSourceIndex (source file index)
metaStationName (station name)
latitude (deployment latitude, degrees_north)
longitude (deployment longitude, degrees_east)


Aggregation of Surface Current measurements collected in situ by Datawell Waverider buoys.

Summary:
Surface current measurements collected in situ by Datawell Waverider buoys.

cdm_data_type = TimeSeries
VARIABLES:
station_id
time (seconds since 1970-01-01T00:00:00Z)
acmFlagPrimary (primary acm QC flag)
acmFlagSecondary (secondary acm QC flag)
acmSpeed (current speed at 0.75m depth, meter/second)
acmSpeedStdDev (current speed standard deviation, meter/second)
acmDirection (current direction at 0.75m depth, degreeT)
acmDirectionStdDev (current direction standard deviation, degree)
acmVerticalSpeed (vertical current speed at 0.75m depth, meter/second)
acmVerticalSpeedStdDev (vertical current speed standard deviation, meter/second)
acmSourceIndex
metaStationName (station name)
latitude (deployment latitude, degrees_north)
longitude (deployment longitude, degrees_east)
eastCurrent (eastward sea water velocity, m s-1)
northCurrent (northward sea water velocity, m s-1)


Aggregation of Wave measurements collected in situ by Datawell Waverider buoys.

Summary:
Wave measurements collected in situ by Datawell Waverider buoys.

cdm_data_type = TimeSeries
VARIABLES:
station_id
time (UTC sample start time, seconds since 1970-01-01T00:00:00Z)
waveFlagPrimary (primary wave QC flag)
waveFlagSecondary (secondary wave QC flag)
waveHs (significant wave height, meter)
waveTp (peak wave period, second)
waveTa (average wave period, second)
waveDp (peak wave direction, degreeT)
wavePeakPSD (peak wave power spectral density, m*m/hertz)
waveTz (spectral zero-upcross wave period, second)
waveSourceIndex (source file index)
metaStationName (station name)
latitude (deployment latitude, degrees_north)
longitude (deployment longitude, degrees_east)


AIS Ship Traffic: Hawaii: 2011-2012

Summary:
Ship position data from a satellite-based Automatic Identification System (AIS) were obtained jointly by PacIOOS (J. Potemra), SOEST/ORE of the University of Hawaii (E. Roth), and the Papahanaumokuakea Marine National Monument (PNMN) (D. Graham) through a one-time purchase from ORBCOMM LLC. The purchase agreement was made in late 2012 and was for a 30-by-30 degree section of historical AIS data that included the region of the Hawaiian Islands. The data include AIS long and unchecked reports for a one year period: August 2011 through mid-August 2012. The raw, monthly GPS files were locally converted to NetCDF for the PacIOOS data servers. Due to vendor constraints, release of the raw data is limited.

cdm_data_type = Point
VARIABLES:
obs (observation, 0)
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
ship_id_mmsi (ship identification number (MMSI), 0)
navigational_status (0)
speed_over_ground (kts)
course_over_ground (deg)
true_heading (deg)
rate_of_turn (degrees minutes-1)
position_accuracy (0)


AIS Ship Traffic: Johnston Atoll: 2011-2012

Summary:
Ship position data from a satellite-based Automatic Identification System (AIS) were obtained jointly by PacIOOS (J. Potemra), SOEST/ORE of the University of Hawaii (E. Roth), and the Papahanaumokuakea Marine National Monument (PNMN) (D. Graham) through a one-time purchase from ORBCOMM LLC. The purchase agreement was made in late 2012 and was for a 30-by-30 degree section of historical AIS data that included the region surrounding Johnston Atoll. The data include AIS long and unchecked reports for a one year period: August 2011 through mid-August 2012. The raw, monthly GPS files were locally converted to NetCDF for the PacIOOS data servers. Due to vendor constraints, release of the raw data is limited.

cdm_data_type = Point
VARIABLES:
obs (observation, 0)
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
ship_id_mmsi (ship identification number (MMSI), 0)
navigational_status (0)
speed_over_ground (kts)
course_over_ground (deg)
true_heading (deg)
rate_of_turn (degrees minutes-1)
position_accuracy (0)


AIS Ship Traffic: Mariana and Wake: 2011-2012

Summary:
Ship position data from a satellite-based Automatic Identification System (AIS) were obtained jointly by PacIOOS (J. Potemra), SOEST/ORE of the University of Hawaii (E. Roth), and the Papahanaumokuakea Marine National Monument (PNMN) (D. Graham) through a one-time purchase from ORBCOMM LLC. The purchase agreement was made in late 2012 and was for a 30-by-30 degree section of historical AIS data that included the region of the Mariana Islands. The data include AIS long and unchecked reports for a one year period: August 2011 through mid-August 2012. The raw, monthly GPS files were locally converted to NetCDF for the PacIOOS data servers. Due to vendor constraints, release of the raw data is limited.

cdm_data_type = Point
VARIABLES:
obs (observation, 0)
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
ship_id_mmsi (ship identification number (MMSI), 0)
navigational_status (0)
speed_over_ground (kts)
course_over_ground (deg)
true_heading (deg)
rate_of_turn (degrees minutes-1)
position_accuracy (0)


AIS Ship Traffic: Rose Atoll: 2011-2012

Summary:
Ship position data from a satellite-based Automatic Identification System (AIS) were obtained jointly by PacIOOS (J. Potemra), SOEST/ORE of the University of Hawaii (E. Roth), and the Papahanaumokuakea Marine National Monument (PNMN) (D. Graham) through a one-time purchase from ORBCOMM LLC. The purchase agreement was made in late 2012 and was for a 30-by-30 degree section of historical AIS data that included the region surrounding Rose Atoll in American Samoa. The data include AIS long and unchecked reports for a one year period: August 2011 through mid-August 2012. The raw, monthly GPS files were locally converted to NetCDF for the PacIOOS data servers. Due to vendor constraints, release of the raw data is limited.

cdm_data_type = Point
VARIABLES:
obs (observation, 0)
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
ship_id_mmsi (ship identification number (MMSI), 0)
navigational_status (0)
speed_over_ground (kts)
course_over_ground (deg)
true_heading (deg)
rate_of_turn (degrees minutes-1)
position_accuracy (0)


ALOHA Cabled Observatory (ACO): Acoustic Doppler Current Profiler (ADCP): Temperature

Summary:
The University of Hawaii's ALOHA ("A Long-term Oligotrophic Habitat Assessment") Cabled Observatory (ACO) is located 100 km north of the island of Oahu, Hawaii (22 45'N, 158W) in the North Pacific Ocean. It provides real-time oceanographic observations from a depth of about 4,800 m via a submarine fiber optic cable that comes ashore at Makaha on Oahu. This data set provides measurements of sea water temperature at the ACO at 1.83 m above the ocean bottom for the most recent 7 days.

cdm_data_type = TimeSeries
VARIABLES:
station_name
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
sea_water_temperature (degree_Celsius)


ALOHA Cabled Observatory (ACO): Acoustic Doppler Current Profiler (ADCP): Velocity

Summary:
The University of Hawaii's ALOHA ("A Long-term Oligotrophic Habitat Assessment") Cabled Observatory (ACO) is located 100 km north of the island of Oahu, Hawaii (22 45'N, 158W) in the North Pacific Ocean. It provides real-time oceanographic observations from a depth of about 4,800 m via a submarine fiber optic cable that comes ashore at Makaha on Oahu. This data set provides measurements of ocean current velocity at the ACO from a 250 kHz SonTek acoustic doppler current profiler (ADCP) at 1.83 m above the ocean bottom for the most recent 7 days. Velocities are flagged bad if the amplitude is excessively low or high. An amplitude is high if it exceeds the average of the ping before and the ping after by 20 counts. An amplitude is low if less than 6 counts. After this the velocities are flagged bad if the absolute deviation of the vertical velocity from its ensemble median exceeds 0.15 m/s or if its value is less than -0.25 m/s.

cdm_data_type = Profile
VARIABLES:
station_name
time (seconds since 1970-01-01T00:00:00Z)
depth (Depth of each location, m)
latitude (degrees_north)
longitude (degrees_east)
eastward_sea_water_velocity (current east component, meters/second)
northward_sea_water_velocity (current north component, meters/second)
upward_sea_water_velocity (current upward component, meters/second)


ALOHA Cabled Observatory (ACO): Bottom Pressure Recorder (BPR): Archive

Summary:
The University of Hawaii's ALOHA ("A Long-term Oligotrophic Habitat Assessment") Cabled Observatory (ACO) is located 100 km north of the island of Oahu, Hawaii (22 45'N, 158W) in the North Pacific Ocean. It provides real-time oceanographic observations from a depth of about 4,800 m via a submarine fiber optic cable that comes ashore at Makaha on Oahu. This data set provides measurements of ocean pressure at the ACO from a Bottom Pressure Recorder (BPR).

cdm_data_type = TimeSeries
VARIABLES:
station
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
pressure (sea water pressure, psi)


ALOHA Cabled Observatory (ACO): Hydrophone Acoustics

Summary:
The University of Hawaii's ALOHA ("A Long-term Oligotrophic Habitat Assessment") Cabled Observatory (ACO) is located 100 km north of the island of Oahu, Hawaii (22 45'N, 158W) in the North Pacific Ocean. It provides real-time oceanographi
c observations from a depth of about 4,800 m via a submarine fiber optic cable that comes ashore at Makaha on Oahu. This data set provides sound files of ocean acoustics at the ocean floor from the ACO hydrophone.

cdm_data_type = TimeSeries
VARIABLES:
station
latitude (degrees_north)
longitude (degrees_east)
depth (m)
time (seconds since 1970-01-01T00:00:00Z)
elapsedTime (Elapsed Time, seconds)
channel_1


BOSZ Wave-Driven Sea Level Rise Inundation: West Maui

Summary:
A new modeling approach was implemented here to simulate wave-induced coastal inundation. Using the Boussinesq Ocean and Surf Zone (BOSZ) phase-resolving model, we produced simulations of inundation depth over land for selected combinations of swell amplitudes and directions under different water levels (WLs) that are controlled by the astronomical tides, long-period anomalies (hereafter, will be referred to as background WL), and long-term sea level rise (SLR). The simulations represent three scenarios: (i) Minimum Wave Flooding (minimal swell and high background WL); (ii) Annual High Wave Flooding (large swell and high background WL), and; (iii) Maximum Wave Flooding (largest swell and highest background WL). Simulations for the above three scenarios are repeated for the following SLR projections: 0.0 m; 0.3 m (1 ft); 0.6 m (2 ft); 1.0 m (3.3 ft), and; 2.0 m (6.6 ft). Modeling was carried out over a high-resolution two-dimensional digital elevation model (DEM) that was created by blending the following DEM grids: (i) Lidar data from a 2013 survey by USACE (cloud data with resolution on the order of meters), plus Lidar data from a 2000 survey by USACE (cloud data with resolution on the order of meters; used only to fill certain data gaps found in the 2013 Lidar survey), and; (ii) multibeam bathymetry data from the Hawaii Mapping Research Group (50-m resolution). Results are gridded at 5-m resolution and span the coastline of West Maui, Hawaii.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [longitude][latitude]):
flood_m1a (flood depth: combined minimum swell, WL 0.4m, SLR 0.0m, meters)
flood_m1b (flood depth: combined minimum swell, WL 0.4m, SLR 0.3m, meters)
flood_m1c (flood depth: combined minimum swell, WL 0.4m, SLR 0.6m, meters)
flood_m1d (flood depth: combined minimum swell, WL 0.4m, SLR 1.0m, meters)
flood_m1e (flood depth: combined minimum swell, WL 0.4m, SLR 2.0m, meters)
flood_m2a (flood depth: combined annual high swell, WL 0.4m, SLR 0.0m, meters)
flood_m2b (flood depth: combined annual high swell, WL 0.4m, SLR 0.3m, meters)
flood_m2c (flood depth: combined annual high swell, WL 0.4m, SLR 0.6m, meters)
flood_m2d (flood depth: combined annual high swell, WL 0.4m, SLR 1.0m, meters)
flood_m2e (flood depth: combined annual high swell, WL 0.4m, SLR 2.0m, meters)
flood_m3a (flood depth: combined maximum swell, WL 0.9m, SLR 0.0m, meters)
flood_m3b (flood depth: combined maximum swell, WL 0.9m, SLR 0.3m, meters)
flood_m3c (flood depth: combined maximum swell, WL 0.9m, SLR 0.6m, meters)
... (52 more variables)


CRRF Weather Station: Palau: Koror: Ngeanges Island

Summary:
Since 2007, the Coral Reef Research Foundation (CRRF) has operated a Campbell Scientific automatic weather station (AWS) in Palau designed to measure meteorological/atmospheric conditions relevant to Koror State's Rock Islands Southern Lagoon, a World Heritage Site. With little flat land in the Rock Islands, the weather station is located on a 40-ft tower situated on a karst ridge on Ngeanges Island at 100 ft elevation, about 5.4 km (3.5 mi) from CRRF's study site at Jellyfish Lake. It measures a suite of atmospheric conditions for comparison with CRRF's temporary, floating weather station located on a tripod in Jellyfish Lake, and provides vital data for studying how local weather conditions and ENSO events affect the marine lake environment.

cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
altitude (Distance above mean sea level, m)
station_name (station)
air_temperature (Celsius)
air_temperature_max (maximum air temperature, Celsius)
air_temperature_max_time (maximum air temperature: observation time, seconds since 1970-01-01T00:00:00Z)
air_temperature_min (minimum air temperature, Celsius)
air_temperature_min_time (minimum air temperature: observation time, seconds since 1970-01-01T00:00:00Z)
air_temperature_std (air temperature standard deviation, Celsius)
wind_speed (m/s)
wind_speed_max (gust speed, m/s)
wind_speed_max_time (gust speed: observation time, seconds since 1970-01-01T00:00:00Z)
wind_speed_min (minimum wind speed, m/s)
wind_speed_min_time (minimum wind speed: observation time, seconds since 1970-01-01T00:00:00Z)
wind_speed_std (wind speed standard deviation, m/s)
wind_from_direction (wind direction, degrees)
wind_from_direction_std (wind direction standard deviation, degrees)
rainfall_amount (total rainfall, mm)
... (23 more variables)


Distance to Nearest Coastline: 0.01-Degree Grid

Summary:
A global data set of distances from the nearest coastline. Negative distances represent locations over land (including land-locked bodies of water), while positive distances represent the ocean. NASA's Ocean Biology Processing Group (OBPG) generated this data set using the Generic Mapping Tools (GMT) software package. Distances were computed with GMT using its intermediate-resolution coastline and then gridded globally at a spatial resolution of 0.04 degrees. Bilinear interpolation was then applied to increase the spatial resolution to 0.01 degrees. There is an uncertainty of up to 1 km in the computed distance at any given point.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
dist (distance to nearest coastline, km)

NASA Ocean Biology Processing Group (OBPG)


Distance to Nearest Coastline: 0.01-Degree Grid, Lon0360


Distance to Nearest Coastline: 0.01-Degree Grid: Land

Summary:
A global data set of land distances from the nearest coastline. NASA's Ocean Biology Processing Group (OBPG) generated this data set using the Generic Mapping Tools (GMT) software package. Distances were computed with GMT using its intermediate-resolution coastline and then gridded globally at a spatial resolution of 0.04 degrees. Bilinear interpolation was then applied to increase the spatial resolution to 0.01 degrees. There is an uncertainty of up to 1 km in the computed distance at any given point.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
dist (distance to nearest coastline, km)


Distance to Nearest Coastline: 0.01-Degree Grid: Land, Lon0360


Distance to Nearest Coastline: 0.01-Degree Grid: Ocean

Summary:
A global data set of ocean distances from the nearest coastline. NASA's Ocean Biology Processing Group (OBPG) generated this data set using the Generic Mapping Tools (GMT) software package. Distances were computed with GMT using its intermediate-resolution coastline and then gridded globally at a spatial resolution of 0.04 degrees. Bilinear interpolation was then applied to increase the spatial resolution to 0.01 degrees. There is an uncertainty of up to 1 km in the computed distance at any given point.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
dist (distance to nearest coastline, km)


Distance to Nearest Coastline: 0.01-Degree Grid: Ocean, Lon0360


Distance to Nearest Coastline: 0.04-Degree Grid

Summary:
A global data set of distances from the nearest coastline. Negative distances represent locations over land (including land-locked bodies of water), while positive distances represent the ocean. NASA's Ocean Biology Processing Group (OBPG) generated this data set using the Generic Mapping Tools (GMT) software package. Distances were computed with GMT using its intermediate-resolution coastline and then gridded globally at a spatial resolution of 0.04 degrees.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
dist (distance to nearest coastline, km)


Distance to Nearest Coastline: 0.04-Degree Grid, Lon0360


Distance to Nearest Coastline: 0.04-Degree Grid: Land

Summary:
A global data set of land distances from the nearest coastline. NASA's Ocean Biology Processing Group (OBPG) generated this data set using the Generic Mapping Tools (GMT) software package. Distances were computed with GMT using its intermediate-resolution coastline and then gridded globally at a spatial resolution of 0.04 degrees.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
dist (distance to nearest coastline, km)


Distance to Nearest Coastline: 0.04-Degree Grid: Land, Lon0360


Distance to Nearest Coastline: 0.04-Degree Grid: Ocean

Summary:
A global data set of ocean distances from the nearest coastline. NASA's Ocean Biology Processing Group (OBPG) generated this data set using the Generic Mapping Tools (GMT) software package. Distances were computed with GMT using its intermediate-resolution coastline and then gridded globally at a spatial resolution of 0.04 degrees.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
dist (distance to nearest coastline, km)


Distance to Nearest Coastline: 0.04-Degree Grid: Ocean, Lon0360


ETOPO1 Global Surface Relief: Bedrock

Summary:
ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets, and is available in "Ice Surface" (top of Antarctic and Greenland ice sheets) and "Bedrock" (base of the ice sheets) versions.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
z (meters)

NOAA National Geophysical Data Center (NGDC) Marine Geology and Geophysics (MGG) Division


ETOPO1 Global Surface Relief: Bedrock, Lon0360


ETOPO1 Global Surface Relief: Ice Surface


ETOPO1 Global Surface Relief: Ice Surface, Lon0360


ETOPO5 Global Surface Relief

Summary:
ETOPO5 is a 5 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This historical dataset has been deprecated in favor of the newer and higher-resolution ETOPO1 1 arc-minute global relief model.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ROSE (Relief Of the Surface of the Earth, meters)

NOAA Marine Geology and Geophysics (MGG)


ETOPO5 Global Surface Relief, Lon+/-180


Hawaii Clean Water Branch (CWB) Beach Water Quality Data

Summary:
Exposure to sewage contaminated recreational waters may cause gastrointestinal illnesses in swimmers. The State of Hawaii Department of Health (HIDOH) Clean Water Branch (CWB) monitors the waters of Hawaii's beaches for concentrations of Enterococcus, which acts as an indicator of pathogens. The CWB also uses Clostridium perfringens as a secondary tracer of sewage contamination. Results of this monitoring are evaluated using a decision rule to determine whether a beach is safe ("Compliant") or not safe (on "Alert") for swimming and other water contact activities. If a beach is found to be on "Alert" due to elevated indicator bacteria levels, the CWB issues public warnings and alerts and determines whether resampling of the area is necessary.

Under the U.S. BEACH Act, the State of Hawaii receives an annual grant to implement its beach monitoring program. This requires the State to conduct a monitoring and notification program that is consistent with performance criteria published by the U.S. Environmental Protection Agency (EPA) in 2002. In March 2010, the EPA approved amendments to the Hawaii Administrative Rules (HAR), Chapter 11-54, Water Quality Standards (CWB QAPrgP, HIDOH 2011, Appendix D), which revised the previous State Enterococcus criteria of a geometric mean (GM) of 7 colony-forming units (CFU) per 100 mL and a single sample maximum (SSM) of 100 CFU/100 mL to meet current EPA guidelines. The State of Hawaii now uses the EPA recommended Enterococcus GM and SSM for recreational waters consistent in the 1986 Ambient Water Quality Criteria for Bacteria. The criterion lists the GM and SSM for marine waters as 35 CFU/100 mL and 104 CFU/100 mL, respectively.

The CWB utilizes Clostridium perfringens as a secondary tracer in addition to the Enterococcus indicator to help distinguish between sewage and non-sewage sources of elevated Enterococcus levels in marine coastal waters. The reliability of Enterococcus as an indicator organism in tropical environments has been questioned. This issue was formally documented in the report, Tropical Water Quality Indicator Workshop (Fujioka and Byappanahalli, 2003).

One of the limitations of all available and EPA-approved test methods is that the sample must be incubated for about 24 hours. As a result, the public finds out today when they shouldn't have gone in the water yesterday. As a result, warning signs on the beach may or may not be reflective of actual water quality because they are based on tests performed one or more days ago.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
... (12 more variables)

State of Hawaii Clean Water Branch (CWB)


HIMB Weather Station: Moku o Loe (Coconut Island), Oahu, Hawaii

Summary:
The Hawaii Institute of Marine Biology (HIMB) automatic weather station (AWS) records hourly measurements of precipitation, air temperature, wind speed and direction, and irradiance. Sensors include an Eppley 295-385 nm ultraviolet (UV) radiometer, a LiCor 200SZ Pyranometer, and a LiCor Quantameter (400-700 nm). The sensors are located on the roof of HIMB's Coral Reef Ecology Laboratory (Point Lab) on Moku o Loe (Coconut Island) in Kaneohe Bay on the windward (eastern) coast of Oahu in Hawaii. An accompanying sea water temperature sensor is located less than 10 m offshore of the weather station at a shallow depth of approximately 1 m.

cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
altitude (Distance above mean sea level, m)
station_name (station)
air_temperature (air temperature (processed), Celsius)
sea_water_temperature (water temperature (processed), Celsius)
wind_speed (wind speed (processed), m/s)
gust_speed (gust speed (processed), m/s)
wind_from_direction (wind direction (processed), degrees)
wind_from_direction_std (standard deviation of wind direction (processed), degrees)
rainfall_amount (total rainfall (processed), mm)
shortwave_radiation (downwelling shortwave radiation (processed), W/m2)
ultraviolet_radiation (ultraviolet radiation (processed), W/m2)
photosynthetic_radiation (photosynthetically active radiation (processed), umol m-2 s-1)
air_temperature_raw (air temperature (raw), Celsius)
air_temperature_dm_qd (air temperature delayed-mode quality descriptor, 1)
air_temperature_qc_agg (QARTOD Aggregate/Rollup Test (processed), 1)
air_temperature_qc_atn (QARTOD Attenuated Signal Test (processed), 1)
air_temperature_qc_clm (QARTOD Climatology Test (processed), 1)
air_temperature_qc_flt (QARTOD Flat Line Test (processed), 1)
... (139 more variables)


Hui O Ka Wai Ola Water Quality Data

Summary:
The goal of the Hui O Ka Wai Ola (Association Of The Living Waters) citizen-science based water quality program is to increase the capacity for monitoring water quality in Maui (2016-) and Lanai (2023-) coastal waters by generating reliable data to assess long-term water-quality conditions and detect temporal trends. These data augment the data produced by the Hawaii Department of Health (DOH) Clean Water Branch (CWB) beach monitoring program.

Data are collected and analyzed every two or three weeks for physical and chemical parameters, including ocean salinity, pH, temperature, organic nutrients (nitrogen and phosphorous compounds), dissolved oxygen (DO), and total suspended sediment (TSS). Some water samples are immediately tested at mobile labs while others are processed for testing at University of Hawaii and/or other labs.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
location_id (sampling site identifier)
location_name
sample_id (sample identifier)
session_id (sampling session identifier)
water_temperature (Celsius)
salinity (salinity PSU, 1)
turbidity (turbidity NTU, 1)
ph (1)
oxygen (dissolved oxygen concentration, mg/L)
oxygen_saturation (dissolved oxygen saturation, %)
nitrogen (total dissolved nitrogen, ug/L)
phosphorus (total dissolved phosphorus, ug/L)
phosphate (phosphorus as orthophosphate, ug/L)
silicate (ug/L)
nitrate_nitrite (nitrate plus nitrite, ug/L)
ammonia (ug/L)
qa_comments (quality assurance issues or comments)


JASL/UHSLC Research Quality Tide Gauge Data (daily)

Summary:
The Joint Archive for Sea Level (JASL) Research Quality Data Set (RQDS) is a collaboration between the University of Hawaii Sea Level Center (UHSLC) and the World Data Center for Oceanography of the National Centers for Environmental Information (NCEI), National Oceanic and Atmospheric Administration (NOAA). The objective of the JASL RQDS is to assemble a well-documented, quality-controlled archive of hourly and daily sea level values that is appropriate for scientific research applications. The JASL RQDS is the largest global collection of quality-controlled hourly sea level data, and ongoing efforts seek to acquire new sites and uncover historic records as available.

cdm_data_type = TimeSeries
VARIABLES:
sea_level (relative sea level, millimeters)
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
station_name
station_country (station country (ISO 3166-1))
station_country_code (station country code (ISO 3166-1 numeric))
record_id (unique identifier for each record (i.e., station and version) in the database)
uhslc_id (unique station ID number used by the University of Hawaii Sea Level Center (UHSLC))
version (station version)
gloss_id (unique station ID number used by the WMO/IOC Global Sea Level Observing System (GLOSS))
ssc_id (unique station ID code in the Sealevel Station Catalog (SSC) produced by the WMO/IOC Sea Level Monitoring Facility (VLIZ))
decimation_method
reference_code
reference_offset (millimeters)


JASL/UHSLC Research Quality Tide Gauge Data (hourly)


Main Hawaiian Islands Multibeam Bathymetry Synthesis: 1-km Bathymetry and Topography

Summary:
A 50-m resolution gridded synthesis of all available bathymetry (ocean depth) data for the main Hawaiian Islands, from the Hawaii Mapping Research Group (HMRG) in the School of Ocean and Earth Science and Technology (SOEST) at the University of Hawaii at Manoa. Includes ship-borne multibeam sonar surveys as well as the Smith and Sandwell measured and estimated global seafloor topography. Land topography from USGS DEMs are included in the grid as well.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
z (bathymetry and topography, meters)


Main Hawaiian Islands Multibeam Bathymetry Synthesis: 50-m Bathymetry

Summary:
A 50-m resolution gridded synthesis of all available bathymetry (ocean depth) data for the main Hawaiian Islands, including ship-borne multibeam sonar surveys, from the Hawaii Mapping Research Group (HMRG) in the School of Ocean and Earth Science and Technology (SOEST) at the University of Hawaii at Manoa. For a grayscale hillshade image layer of this dataset, see "hi_hmrg_all_bathy50m_hillshade" in the distribution links listed in the metadata.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
z (bathymetry, meters)


Main Hawaiian Islands Multibeam Bathymetry Synthesis: 50-m Bathymetry and Topography

Summary:
A 50-m resolution gridded synthesis of all available bathymetry (ocean depth) data for the main Hawaiian Islands, including ship-borne multibeam sonar surveys, from the Hawaii Mapping Research Group (HMRG) in the School of Ocean and Earth Science and Technology (SOEST) at the University of Hawaii at Manoa. Land topography from USGS DEMs are included in the grid as well. For a grayscale hillshade image layer of this dataset's bathymetry, see "hi_hmrg_all_bathy50m_hillshade" in the distribution links listed in the metadata.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
z (bathymetry and topography, meters)


Maui Citizen Science Coastal Water Quality Data

Summary:
A network of citizen science volunteers periodically monitored water quality at several beaches across the island of Maui in the State of Hawaii during the years 2010-2016. This community-based monitoring effort provided valuable data for resource management purposes. Informed volunteer networks can serve as a community's "eyes and ears" and will often provide the first indications of changes to a system. In addition to the value of early detection, it is important to maintain ongoing monitoring efforts to compile data and document resource conditions.

In addition to water temperature, salinity, turbidity (water clarity), and pH, sampling sites were also monitored for harmful bacteria levels of Enterococcus through 2014-06-26. This indicator bacteria has been correlated with the presence of human pathogens (disease-causing organisms) and therefore with human illnesses such as gastroenteritis, diarrhea, and various infections in epidemiological studies. As such, it is commonly measured in beach water quality monitoring programs. For reference, the U.S. Environmental Protection Agency (EPA) 1986 Ambient Water Quality Criteria for Bacteria recommends that a water quality alert is posted if either: (a.) the latest water sample exceeds 104 CFU/100 mL of Enterococcus, or (b.) the geometric mean of the past 30 days of water samples exceeds 35 CFU/100 mL. One of the limitations of all available and EPA-approved test methods is that the sample must be incubated for about 24 hours.

Data were managed through an online repository, the Coral Reef Monitoring Data Portal (now defunct), developed and coordinated by the Coral Reef Alliance (CORAL) and its partners with funding provided by the Hawaii Tourism Authority (HTA) and the National Oceanic and Atmospheric Administration (NOAA). Data collection was coordinated by the Hawaii Division of Aquatic Resources (DAR), the Hawaiian Islands Humpback Whale National Marine Sanctuary (HIHWNMS), Aquanimity Now, the Digital Bus, Save Honolua Coalition, Project S.E.A.-Link, and other local organizations and agencies. Data are publicly distributed by the Pacific Islands Ocean Observing System (PacIOOS).

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
... (9 more variables)


NEOWAVE Regional Tsunami Model: American Samoa: Tutuila: Pago Pago

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Pago Pago Harbor on the island of Tutuila in American Samoa, categorized by earthquake magnitude and subduction zone. Includes nearshore hazard maps of surge, drawdown, and current for hypothetical advisory and warning-level tsunamis from potential sources at the Kuril-Kamchatka, New Hebrides, Tonga, and Peru-Chile subduction zones. Data are gridded at approximately 9-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the surge, drawdown, and current described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
current_event01 (current from Peru-Chile Mw 8.0, meters second-1)
current_event02 (current from Peru-Chile Mw 8.1, meters second-1)
current_event03 (current from Peru-Chile Mw 8.2, meters second-1)
current_event04 (current from Kamchatka Mw 8.3, meters second-1)
current_event05 (current from Kamchatka Mw 8.4, meters second-1)
current_event06 (current from Kamchatka Mw 8.5, meters second-1)
current_event07 (current from New Hebrides Mw 8.6, meters second-1)
current_event08 (current from New Hebrides Mw 8.7, meters second-1)
current_event09 (current from New Hebrides Mw 8.8, meters second-1)
current_event10 (current from Tonga Mw 7.4, meters second-1)
current_event11 (current from Tonga Mw 7.5, meters second-1)
current_event12 (current from Tonga Mw 7.6, meters second-1)
drawdown_event01 (drawdown from Peru-Chile Mw 8.0, meters)
drawdown_event02 (drawdown from Peru-Chile Mw 8.1, meters)
drawdown_event03 (drawdown from Peru-Chile Mw 8.2, meters)
drawdown_event04 (drawdown from Kamchatka Mw 8.3, meters)
drawdown_event05 (drawdown from Kamchatka Mw 8.4, meters)
... (19 more variables)


NEOWAVE Regional Tsunami Model: Guam: Agana and Tumon Bays

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for adjacent Agana and Tumon Bays along the northwest shore of the island of Guam, categorized by earthquake magnitude and subduction zone. Offshore data are gridded at approximately 90-m resolution while in-harbor data are approximately 9-m resolution. Includes offshore surge and current based on maximum considered tsunamis as well as in-harbor hazard maps of surge, drawdown, and current for hypothetical advisory and warning-level tsunamis from potential sources at the Mariana, Nankai, Philippine, and New Guinea subduction zones. Data are referenced to the WGS84 coordinate system, and the vertical datum is mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the surge, drawdown, and current described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
current_event01 (current from East Philippines Mw 8.0, meters second-1)
current_event02 (current from East Philippines Mw 8.2, meters second-1)
current_event03 (current from East Philippines Mw 8.4, meters second-1)
current_event04 (current from Mariana Mw 7.8, meters second-1)
current_event05 (current from Mariana Mw 8.0, meters second-1)
current_event06 (current from Mariana Mw 8.2, meters second-1)
current_event07 (current from Nankai Mw 8.3, meters second-1)
current_event08 (current from Nankai Mw 8.5, meters second-1)
current_event09 (current from Nankai Mw 8.7, meters second-1)
current_event10 (current from New Guinea Mw 8.4, meters second-1)
current_event11 (current from New Guinea Mw 8.6, meters second-1)
current_event12 (current from New Guinea Mw 8.8, meters second-1)
drawdown_event01 (drawdown from East Philippines Mw 8.0, meters)
drawdown_event02 (drawdown from East Philippines Mw 8.2, meters)
drawdown_event03 (drawdown from East Philippines Mw 8.4, meters)
... (21 more variables)


NEOWAVE Regional Tsunami Model: Guam: Agat Bay

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Agat Bay along the southwest shore of the island of Guam, categorized by earthquake magnitude and subduction zone. Includes nearshore hazard maps of surge, drawdown, and current for hypothetical advisory and warning-level tsunamis from potential sources at the Mariana, Nankai, Philippine, and New Guinea subduction zones. Data are gridded at approximately 20-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the surge, drawdown, and current described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
current_event01 (current from East Philippines Mw 7.6, meters second-1)
current_event02 (current from East Philippines Mw 7.7, meters second-1)
current_event03 (current from East Philippines Mw 7.8, meters second-1)
current_event04 (current from East Philippines Mw 7.9, meters second-1)
current_event05 (current from East Philippines Mw 8.0, meters second-1)
current_event06 (current from East Philippines Mw 8.1, meters second-1)
current_event07 (current from East Philippines Mw 8.2, meters second-1)
current_event08 (current from East Philippines Mw 8.3, meters second-1)
current_event09 (current from East Philippines Mw 8.4, meters second-1)
current_event10 (current from East Philippines Mw 8.5, meters second-1)
current_event11 (current from Mariana Mw 7.2, meters second-1)
current_event12 (current from Mariana Mw 7.3, meters second-1)
current_event13 (current from Mariana Mw 7.4, meters second-1)
current_event14 (current from Mariana Mw 7.5, meters second-1)
current_event15 (current from Mariana Mw 7.6, meters second-1)
current_event16 (current from Mariana Mw 7.7, meters second-1)
current_event17 (current from Mariana Mw 7.8, meters second-1)
... (124 more variables)


NEOWAVE Regional Tsunami Model: Guam: Agat Marina

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Agat Marina along the southwest shore of the island of Guam, categorized by earthquake magnitude and subduction zone. Includes nearshore hazard maps of surge, drawdown, and current for hypothetical advisory and warning-level tsunamis from potential sources at the Mariana, Nankai, Philippine, and New Guinea subduction zones. Data are gridded at approximately 5-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the surge, drawdown, and current described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
current_event01 (current from East Philippines Mw 7.6, meters second-1)
current_event02 (current from East Philippines Mw 7.7, meters second-1)
current_event03 (current from East Philippines Mw 7.8, meters second-1)
current_event04 (current from East Philippines Mw 7.9, meters second-1)
current_event05 (current from East Philippines Mw 8.0, meters second-1)
current_event06 (current from East Philippines Mw 8.1, meters second-1)
current_event07 (current from East Philippines Mw 8.2, meters second-1)
current_event08 (current from East Philippines Mw 8.3, meters second-1)
current_event09 (current from East Philippines Mw 8.4, meters second-1)
current_event10 (current from East Philippines Mw 8.5, meters second-1)
current_event11 (current from Mariana Mw 7.2, meters second-1)
current_event12 (current from Mariana Mw 7.3, meters second-1)
current_event13 (current from Mariana Mw 7.4, meters second-1)
current_event14 (current from Mariana Mw 7.5, meters second-1)
current_event15 (current from Mariana Mw 7.6, meters second-1)
current_event16 (current from Mariana Mw 7.7, meters second-1)
current_event17 (current from Mariana Mw 7.8, meters second-1)
... (124 more variables)


NEOWAVE Regional Tsunami Model: Guam: Apra Harbor

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Apra Harbor on the island of Guam, categorized by earthquake magnitude and subduction zone. Offshore data are gridded at approximately 90-m resolution while in-harbor data are approximately 9-m resolution. Includes offshore surge and current based on maximum considered tsunamis as well as in-harbor hazard maps of surge, drawdown, and current for hypothetical advisory and warning-level tsunamis from potential sources at the Mariana, Nankai, Philippine, and New Guinea subduction zones. Data are referenced to the WGS84 coordinate system, and the vertical datum is mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the surge, drawdown, and current described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
current_event01 (current from East Philippines Mw 8.1, meters second-1)
current_event02 (current from East Philippines Mw 8.3, meters second-1)
current_event03 (current from East Philippines Mw 8.5, meters second-1)
current_event04 (current from Mariana Mw 7.6, meters second-1)
current_event05 (current from Mariana Mw 7.8, meters second-1)
current_event06 (current from Mariana Mw 8.0, meters second-1)
current_event07 (current from Nankai Mw 8.3, meters second-1)
current_event08 (current from Nankai Mw 8.5, meters second-1)
current_event09 (current from Nankai Mw 8.7, meters second-1)
current_event10 (current from New Guinea Mw 8.4, meters second-1)
current_event11 (current from New Guinea Mw 8.6, meters second-1)
current_event12 (current from New Guinea Mw 8.8, meters second-1)
drawdown_event01 (drawdown from East Philippines Mw 8.1, meters)
drawdown_event02 (drawdown from East Philippines Mw 8.3, meters)
drawdown_event03 (drawdown from East Philippines Mw 8.5, meters)
drawdown_event04 (drawdown from Mariana Mw 7.6, meters)
... (20 more variables)


NEOWAVE Regional Tsunami Model: Guam: Inarajan

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Inarajan village along the southeast shore of the island of Guam. Provides nearshore hazard maps of inundation depth based on preferred maximum and maximum considered earthquakes at both local and distant sources. Because tsunami waves from a local Mariana earthquake can reach Guam's shores in less than 10 minutes, the resulting inundation is considered separately from distant tsunamis, which can take at least 2 hours to reach Guam. Data are gridded at approximately 9-m (30-ft) resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh_local_preferred (sea surface height for preferred maximum local event, meters)
ssh_local_considered (sea surface height for maximum considered local event, meters)
ssh_distant_preferred (sea surface height for preferred maximum distant event, meters)
ssh_distant_considered (sea surface height for maximum considered distant event, meters)


NEOWAVE Regional Tsunami Model: Guam: Merizo

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Merizo village and Cocos Island along the south shore of the island of Guam. Provides nearshore hazard maps of inundation depth based on preferred maximum and maximum considered earthquakes at both local and distant sources. Because tsunami waves from a local Mariana earthquake can reach Guam's shores in less than 10 minutes, the resulting inundation is considered separately from distant tsunamis, which can take at least 2 hours to reach Guam. Data are gridded at approximately 9-m (30-ft) resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh_local_preferred (sea surface height for preferred maximum local event, meters)
ssh_local_considered (sea surface height for maximum considered local event, meters)
ssh_distant_preferred (sea surface height for preferred maximum distant event, meters)
ssh_distant_considered (sea surface height for maximum considered distant event, meters)


NEOWAVE Regional Tsunami Model: Hawaii: Kauai: Nawiliwili

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Nawiliwili Harbor on the southeast coast of the island of Kauai in the state of Hawaii, categorized by earthquake magnitude and subduction zone. Includes nearshore hazard maps of surge, drawdown, and current for hypothetical advisory and warning-level tsunamis from potential sources at the Aleutian, Kuril-Kamchatka, and Peru-Chile subduction zones. Data are gridded at approximately 9-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the surge, drawdown, and current described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
current_event01 (current from Aleutians Mw 7.6, meters second-1)
current_event02 (current from Aleutians Mw 7.8, meters second-1)
current_event03 (current from Aleutians Mw 8.0, meters second-1)
current_event04 (current from Peru-Chile Mw 8.3, meters second-1)
current_event05 (current from Peru-Chile Mw 8.5, meters second-1)
current_event06 (current from Peru-Chile Mw 8.7, meters second-1)
current_event07 (current from Kamchatka Mw 7.8, meters second-1)
current_event08 (current from Kamchatka Mw 8.0, meters second-1)
current_event09 (current from Kamchatka Mw 8.2, meters second-1)
drawdown_event01 (drawdown from Aleutians Mw 7.6, meters)
drawdown_event02 (drawdown from Aleutians Mw 7.8, meters)
drawdown_event03 (drawdown from Aleutians Mw 8.0, meters)
drawdown_event04 (drawdown from Peru-Chile Mw 8.3, meters)
drawdown_event05 (drawdown from Peru-Chile Mw 8.5, meters)
drawdown_event06 (drawdown from Peru-Chile Mw 8.7, meters)
drawdown_event07 (drawdown from Kamchatka Mw 7.8, meters)
drawdown_event08 (drawdown from Kamchatka Mw 8.0, meters)
... (10 more variables)


NEOWAVE Regional Tsunami Model: Hawaii: Kauai: Port Allen

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Port Allen on the southwest coast of the island of Kauai in the state of Hawaii, categorized by earthquake magnitude and subduction zone. Includes nearshore hazard maps of surge, drawdown, and current for hypothetical advisory and warning-level tsunamis from potential sources at the Aleutian, Kuril-Kamchatka, and Peru-Chile subduction zones. Data are gridded at approximately 9-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the surge, drawdown, and current described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
current_event01 (current from Aleutians Mw 7.8, meters second-1)
current_event02 (current from Aleutians Mw 8.0, meters second-1)
current_event03 (current from Aleutians Mw 8.2, meters second-1)
current_event04 (current from Peru-Chile Mw 8.3, meters second-1)
current_event05 (current from Peru-Chile Mw 8.5, meters second-1)
current_event06 (current from Peru-Chile Mw 8.7, meters second-1)
current_event07 (current from Kamchatka Mw 8.0, meters second-1)
current_event08 (current from Kamchatka Mw 8.2, meters second-1)
current_event09 (current from Kamchatka Mw 8.4, meters second-1)
drawdown_event01 (drawdown from Aleutians Mw 7.8, meters)
drawdown_event02 (drawdown from Aleutians Mw 8.0, meters)
drawdown_event03 (drawdown from Aleutians Mw 8.2, meters)
drawdown_event04 (drawdown from Peru-Chile Mw 8.3, meters)
drawdown_event05 (drawdown from Peru-Chile Mw 8.5, meters)
drawdown_event06 (drawdown from Peru-Chile Mw 8.7, meters)
drawdown_event07 (drawdown from Kamchatka Mw 8.0, meters)
drawdown_event08 (drawdown from Kamchatka Mw 8.2, meters)
... (10 more variables)


NEOWAVE Regional Tsunami Model: Hawaii: Lanai: Kaumalapau

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Kaumalapau Harbor on the west coast of the island of Lanai in the state of Hawaii, categorized by earthquake magnitude and subduction zone. Includes nearshore hazard maps of surge, drawdown, and current for hypothetical advisory and warning-level tsunamis from potential sources at the Aleutian, Kuril-Kamchatka, and Peru-Chile subduction zones. Data are gridded at approximately 3-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the surge, drawdown, and current described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
current_event01 (current from Aleutians Mw 8.2, meters second-1)
current_event02 (current from Aleutians Mw 8.4, meters second-1)
current_event03 (current from Aleutians Mw 8.6, meters second-1)
current_event04 (current from Peru-Chile Mw 8.8, meters second-1)
current_event05 (current from Peru-Chile Mw 9.0, meters second-1)
current_event06 (current from Peru-Chile Mw 9.2, meters second-1)
current_event07 (current from Kamchatka Mw 8.6, meters second-1)
current_event08 (current from Kamchatka Mw 8.8, meters second-1)
current_event09 (current from Kamchatka Mw 9.0, meters second-1)
drawdown_event01 (drawdown from Aleutians Mw 8.2, meters)
drawdown_event02 (drawdown from Aleutians Mw 8.4, meters)
drawdown_event03 (drawdown from Aleutians Mw 8.6, meters)
drawdown_event04 (drawdown from Peru-Chile Mw 8.8, meters)
drawdown_event05 (drawdown from Peru-Chile Mw 9.0, meters)
drawdown_event06 (drawdown from Peru-Chile Mw 9.2, meters)
drawdown_event07 (drawdown from Kamchatka Mw 8.6, meters)
drawdown_event08 (drawdown from Kamchatka Mw 8.8, meters)
... (10 more variables)


NEOWAVE Regional Tsunami Model: Hawaii: Molokai: Kaunakakai

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Kaunakakai Harbor on the south coast of the island of Molokai in the state of Hawaii, categorized by earthquake magnitude and subduction zone. Includes nearshore hazard maps of surge, drawdown, and current for hypothetical advisory and warning-level tsunamis from potential sources at the Aleutian, Kuril-Kamchatka, and Peru-Chile subduction zones. Data are gridded at approximately 3-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the surge, drawdown, and current described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
current_event01 (current from Aleutians Mw 8.2, meters second-1)
current_event02 (current from Aleutians Mw 8.4, meters second-1)
current_event03 (current from Aleutians Mw 8.6, meters second-1)
current_event04 (current from Peru-Chile Mw 8.8, meters second-1)
current_event05 (current from Peru-Chile Mw 9.0, meters second-1)
current_event06 (current from Peru-Chile Mw 9.2, meters second-1)
current_event07 (current from Kamchatka Mw 8.6, meters second-1)
current_event08 (current from Kamchatka Mw 8.8, meters second-1)
current_event09 (current from Kamchatka Mw 9.0, meters second-1)
drawdown_event01 (drawdown from Aleutians Mw 8.2, meters)
drawdown_event02 (drawdown from Aleutians Mw 8.4, meters)
drawdown_event03 (drawdown from Aleutians Mw 8.6, meters)
drawdown_event04 (drawdown from Peru-Chile Mw 8.8, meters)
drawdown_event05 (drawdown from Peru-Chile Mw 9.0, meters)
drawdown_event06 (drawdown from Peru-Chile Mw 9.2, meters)
drawdown_event07 (drawdown from Kamchatka Mw 8.6, meters)
drawdown_event08 (drawdown from Kamchatka Mw 8.8, meters)
... (10 more variables)


NEOWAVE Regional Tsunami Model: Hawaii: Oahu: Pearl Harbor

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Pearl Harbor on the south coast of the island of Oahu in the state of Hawaii, categorized by earthquake magnitude and subduction zone. Includes nearshore hazard maps of surge, drawdown, and current for hypothetical advisory and warning-level tsunamis from potential sources at the Aleutian, Kuril-Kamchatka, and Peru-Chile subduction zones. Data are gridded at approximately 9-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the surge, drawdown, and current described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
current_event01 (current from Aleutians Mw 8.2, meters second-1)
current_event02 (current from Aleutians Mw 8.4, meters second-1)
current_event03 (current from Aleutians Mw 8.6, meters second-1)
current_event04 (current from Peru-Chile Mw 8.8, meters second-1)
current_event05 (current from Peru-Chile Mw 9.0, meters second-1)
current_event06 (current from Peru-Chile Mw 9.2, meters second-1)
current_event07 (current from Kamchatka Mw 8.6, meters second-1)
current_event08 (current from Kamchatka Mw 8.8, meters second-1)
current_event09 (current from Kamchatka Mw 9.0, meters second-1)
drawdown_event01 (drawdown from Aleutians Mw 8.2, meters)
drawdown_event02 (drawdown from Aleutians Mw 8.4, meters)
drawdown_event03 (drawdown from Aleutians Mw 8.6, meters)
drawdown_event04 (drawdown from Peru-Chile Mw 8.8, meters)
drawdown_event05 (drawdown from Peru-Chile Mw 9.0, meters)
drawdown_event06 (drawdown from Peru-Chile Mw 9.2, meters)
drawdown_event07 (drawdown from Kamchatka Mw 8.6, meters)
drawdown_event08 (drawdown from Kamchatka Mw 8.8, meters)
... (10 more variables)


NEOWAVE Regional Tsunami Model: Kalapana 1975: Hawaii: Hawaii Island

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Hawaii Island in the State of Hawaii. Provides a nearshore hazard map of wave amplitude based on the 1975 Kalapana tsunami. Data are gridded at approximately 180-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh (sea surface height, meters)


NEOWAVE Regional Tsunami Model: Kalapana 1975: Hawaii: Hawaii Island: Halape

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for the southeast coast of Hawaii Island in the State of Hawaii, including Halape, Hawaii Volcanoes National Park, and Kalapana. Provides a nearshore hazard map of inundation based on the 1975 Kalapana tsunami. Data are gridded at approximately 30-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh (sea surface height, meters)


NEOWAVE Regional Tsunami Model: Kalapana 1975: Hawaii: Hawaii Island: Kapoho

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for the eastern point of Hawaii Island in the State of Hawaii, stretching from Kahena Beach in the south to Kahakai Park in the north and including Kapoho Bay. Provides a nearshore hazard map of inundation based on the 1975 Kalapana tsunami. Data are gridded at approximately 30-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh (sea surface height, meters)


NEOWAVE Regional Tsunami Model: Kalapana 1975: Hawaii: Hawaii Island: Punaluu

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for the south-southeast coast of Hawaii Island in the State of Hawaii, stretching from beyond Nalehu and Whittington Beach Park in the south to the southern reaches of Hawaii Volcanoes National Park in the north and including Punaluu Beach. Provides a nearshore hazard map of inundation based on the 1975 Kalapana tsunami. Data are gridded at approximately 30-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh (sea surface height, meters)


NEOWAVE Regional Tsunami Model: Kalapana 1975: Hawaii: Hawaii Island: South Point

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for the southern point of Hawaii Island in the State of Hawaii, stretching from beyond Kailikii Beach in the west to Kau Forest Reserve in the east and including South Point Park and Mahana Bay. Provides a nearshore hazard map of inundation based on the 1975 Kalapana tsunami. Data are gridded at approximately 30-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh (sea surface height, meters)


NEOWAVE Regional Tsunami Model: Kalapana 1975: Hawaii: Kauai

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Kauai County in the State of Hawaii, which includes the islands of Kauai and Niihau. Provides a nearshore hazard map of wave amplitude based on the 1975 Kalapana tsunami. Data are gridded at approximately 180-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh (sea surface height, meters)


NEOWAVE Regional Tsunami Model: Kalapana 1975: Hawaii: Maui

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Maui County in the State of Hawaii, which includes the islands of Maui, Molokai, Lanai, and Kahoolawe. Provides a nearshore hazard map of wave amplitude based on the 1975 Kalapana tsunami. Data are gridded at approximately 180-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh (sea surface height, meters)


NEOWAVE Regional Tsunami Model: Kalapana 1975: Hawaii: Oahu

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for the island of Oahu in the State of Hawaii. Provides a nearshore hazard map of wave amplitude based on the 1975 Kalapana tsunami. Data are gridded at approximately 180-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh (sea surface height, meters)


NEOWAVE Regional Tsunami Model: South Hawaii PMT: Hawaii: Hawaii Island

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Hawaii Island in the State of Hawaii. Provides a nearshore hazard map of wave amplitude based on the South Hawaii Probable Maximum Tsunami (PMT) scenario. Data are gridded at approximately 180-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh (sea surface height, meters)


NEOWAVE Regional Tsunami Model: South Hawaii PMT: Hawaii: Hawaii Island: Halape

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for the southeast coast of Hawaii Island in the State of Hawaii, including Halape, Hawaii Volcanoes National Park, and Kalapana. Provides a nearshore hazard map of inundation based on the South Hawaii Probable Maximum Tsunami (PMT) scenario. Data are gridded at approximately 30-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh (sea surface height, meters)


NEOWAVE Regional Tsunami Model: South Hawaii PMT: Hawaii: Hawaii Island: Kapoho

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for the eastern point of Hawaii Island in the State of Hawaii, stretching from Kahena Beach in the south to Kahakai Park in the north and including Kapoho Bay. Provides a nearshore hazard map of inundation based on the South Hawaii Probable Maximum Tsunami (PMT) scenario. Data are gridded at approximately 30-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh (sea surface height, meters)


NEOWAVE Regional Tsunami Model: South Hawaii PMT: Hawaii: Hawaii Island: Punaluu

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for the south-southeast coast of Hawaii Island in the State of Hawaii, stretching from beyond Nalehu and Whittington Beach Park in the south to the southern reaches of Hawaii Volcanoes National Park in the north and including Punaluu Beach. Provides a nearshore hazard map of inundation based on the South Hawaii Probable Maximum Tsunami (PMT) scenario. Data are gridded at approximately 30-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh (sea surface height, meters)


NEOWAVE Regional Tsunami Model: South Hawaii PMT: Hawaii: Hawaii Island: South Point

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for the southern point of Hawaii Island in the State of Hawaii, stretching from beyond Kailikii Beach in the west to Kau Forest Reserve in the east and including South Point Park and Mahana Bay. Provides a nearshore hazard map of inundation based on the South Hawaii Probable Maximum Tsunami (PMT) scenario. Data are gridded at approximately 30-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh (sea surface height, meters)


NEOWAVE Regional Tsunami Model: South Hawaii PMT: Hawaii: Kauai

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Kauai County in the State of Hawaii, which includes the islands of Kauai and Niihau. Provides a nearshore hazard map of wave amplitude based on the South Hawaii Probable Maximum Tsunami (PMT) scenario. Data are gridded at approximately 180-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh (sea surface height, meters)


NEOWAVE Regional Tsunami Model: South Hawaii PMT: Hawaii: Maui

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Maui County in the State of Hawaii, which includes the islands of Maui, Molokai, Lanai, and Kahoolawe. Provides a nearshore hazard map of wave amplitude based on the South Hawaii Probable Maximum Tsunami (PMT) scenario. Data are gridded at approximately 180-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh (sea surface height, meters)


NEOWAVE Regional Tsunami Model: South Hawaii PMT: Hawaii: Oahu

Summary:
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for the island of Oahu in the State of Hawaii. Provides a nearshore hazard map of wave amplitude based on the South Hawaii Probable Maximum Tsunami (PMT) scenario. Data are gridded at approximately 180-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
ssh (sea surface height, meters)


NOAA Coral Reef Watch Daily Global 5-km Satellite Monitoring Marine Heatwave Watch

Summary:
Marine heatwaves are modelled off their terrestrial namesakes and are prolonged periods of anomalously high sea surface temperature (SST). In effect, they are categorized SST anomalies. They are also a more general version of the Coral Reef Watch (CRW) daily global 5km coral bleaching "HotSpot" product. Rather than being aimed specifically at corals, however, they provide a more generalized description of marine heat stress that is likely applicable to a broader range of marine life. This daily global 5km-resolution Marine Heatwave Watch (MHW) product is derived by applying the marine heatwave algorithm of Hobday et al. (2018) to the daily global 5km "CoralTemp" SST data product. CoralTemp is one of the best and most internally consistent daily global 5km SST products available, which allowed for the creation of an accurate climatology. This enabled the derivation of an accurate, consistent MHW product (comprised of near real-time and historic components), stretching back over three decades.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
heatwave_category (marine heatwave category, 1)
mask (pixel characteristics flag array, 1)


NOAA Coral Reef Watch Daily Global 5-km Satellite Monitoring Marine Heatwave Watch, Lon0360


NOAA Coral Reef Watch Operational Daily Near-Real-Time Global 5-km Satellite Coral Bleaching Monitoring Products

Summary:
Contains a suite of NOAA Coral Reef Watch (CRW) version 3.1 operational global satellite coral bleaching heat stress monitoring products at 5-km resolution produced daily in near real-time, including sea surface temperature (SST), SST anomaly, HotSpot, Degree Heating Week (DHW), and Bleaching Alert Area (BAA). These data are based on CoralTemp Version 1.0, a daily global 5-km sea surface temperature dataset combined from: (1.) NOAA/NESDIS operational near-real-time daily global 5-km geostationary-polar-orbiting (geo-polar) blended night-only SST analysis, (2.) NOAA/NESDIS 2002-2016 reprocessed daily global 5-km geo-polar blended night-only SST analysis, and (3.) United Kingdom Met Office 1985-2002 daily global 5-km night-only SST reanalysis of Operational SST and Sea Ice Analysis (OSTIA). The SST anomaly is the difference of SST compared to daily SST climatology. The coral bleaching HotSpot is a special type of sea surface temperature (SST) anomaly and shows the difference of SST compared to a coral bleaching SST threshold climatology. DHW is the accumulation of Coral Bleaching HotSpots over a period of 12 consecutive weeks. The DHW value at any particular location at any particular time is the summation of the product of HotSpot values which are at least 1 deg C above the bleaching threshold SST and their durations in weeks over the most recent 12-week period. One DHW is equivalent to 1 week of SST at 1 deg C above the threshold or 0.5 week of SST at 2 deg C above the threshold, etc. The units for DHW are deg C-weeks, combining the intensity and duration of heat stress into one single number. Based on research at Coral Reef Watch, when the heat stress reaches 4 deg C-weeks, you can expect to see significant coral bleaching, especially in more sensitive species. When heat stress is 8 deg C-weeks or higher, you would likely see widespread bleaching and mortality from the heat stress.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
CRW_BAA (bleaching alert area, 1)
CRW_BAA_mask (CRW_BAA pixel characteristics flag array, 1)
CRW_BAA_7D_MAX (bleaching alert area 7-day maximum composite, 1)
CRW_BAA_7D_MAX_mask (CRW_BAA_7D_MAX pixel characteristics flag array, 1)
CRW_DHW (degree heating week, Celsius weeks)
CRW_DHW_mask (CRW_DHW pixel characteristics flag array, 1)
CRW_HOTSPOT (coral bleaching hotspot, Celsius)
CRW_HOTSPOT_mask (CRW_HOTSPOT pixel characteristics flag array, 1)
... (4 more variables)


NOAA Coral Reef Watch Operational Daily Near-Real-Time Global 5-km Satellite Coral Bleaching Monitoring Products, Lon0360


NOAA/NCEI 10-m Bathymetry: American Samoa: Tutuila

Summary:
A 10-m (1/3 arc-second) resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding the island of Tutuila in American Samoa. It is referenced to a vertical tidal datum of Mean High Water (MHW) and was compiled from various data sources including: NOAA National Centers for Environmental Information (NCEI), formerly the National Geophysical Data Center (NGDC); the U.S. Geological Survey (USGS); Naval Oceanographic Office (NAVOCEANO); Gaia Geo Analytical; and other federal, state, and local government agencies, academic institutions, and private companies. Developed for the National Tsunami Hazard Mitigation Program (NTHMP) to support NOAA's tsunami forecasting and modeling efforts. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "as_ngdc_tutaun_bathy10m_hillshade" in the distribution links listed in the metadata. For further details about this dataset, please see: https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.ngdc.mgg.dem:4610/html.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
elev (elevation, meters)


NOAA/NCEI 10-m Bathymetry: Guam

Summary:
A 10-m (1/3 arc-second) resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding the island of Guam. It is referenced to a vertical tidal datum of Mean High Water (MHW) and was compiled from various data sources including: NOAA National Centers for Environmental Information (NCEI), formerly the National Geophysical Data Center (NGDC); the U.S. Geological Survey (USGS); Naval Oceanographic Office (NAVOCEANO); Gaia Geo Analytical; and other federal, state, and local government agencies, academic institutions, and private companies. Developed for the National Tsunami Hazard Mitigation Program (NTHMP) to support NOAA's tsunami forecasting and modeling efforts. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "gu_ngdc_all_bathy10m_hillshade" in the distribution links listed in the metadata. For further details about this dataset, please see: https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.ngdc.mgg.dem:586/html.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
elev (elevation, meters)


NOAA/NCEI 10-m Bathymetry: USMOI: Wake Island

Summary:
A 10-m (1/3 arc-second) resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Wake Island in the Central Pacific Ocean, one of the U.S. Minor Outlying Islands (USMOI). It covers the three low coral islands--Peale, Wake, and Wilkes--that make up the island, and extends onto the slopes of its volcanic pedestal. It is referenced to a vertical tidal datum of Mean High Water (MHW) and was compiled from various data sources including: NOAA National Centers for Environmental Information (NCEI), formerly the National Geophysical Data Center (NGDC); the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. Developed for the National Tsunami Hazard Mitigation Program (NTHMP) to support NOAA's tsunami forecasting and modeling efforts. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "wai_ngdc_all_bathy10m_hillshade" in the distribution links listed in the metadata. For further details about this dataset, please see: https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.ngdc.mgg.dem:634/html.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
elev (elevation, meters)


NOAA/NCEI 180-m Bathymetry: Mariana Trench

Summary:
A 180-m (6 arc-second) resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) of the Western Pacific Ocean surrounding the Mariana Trench, the deepest part of the Earth's oceans. The extent of the DEM encompasses not only the Mariana Trench, but also the West Mariana Ridge and the East Mariana Ridge, the island of Guam, and the Commonwealth of the Northern Mariana Islands (CNMI). It was compiled by the NOAA National Centers for Environmental Information (NCEI), formerly the National Geophysical Data Center (NGDC), from various data sources including international, federal, and academic partners. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "mp_ngdc_all_bathy180m_hillshade" in the distribution links listed in the metadata. For further details about this dataset, please see: https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.ngdc.mgg.dem:4870/html.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
elev (elevation, meters)


NOAA/NCEI 90-m Bathymetry: American Samoa

Summary:
A 90-m (3 arc-second) resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding American Samoa, including the islands of Tutuila, Ofu, Olosega, and Tau. It is referenced to a vertical tidal datum of Mean High Water (MHW) and was compiled from various data sources including: NOAA National Centers for Environmental Information (NCEI), formerly the National Geophysical Data Center (NGDC); the U.S. Geological Survey (USGS); Naval Oceanographic Office (NAVOCEANO); Gaia Geo Analytical; and other federal, state, and local government agencies, academic institutions, and private companies. Developed for the National Tsunami Hazard Mitigation Program (NTHMP) to support NOAA's tsunami forecasting and modeling efforts. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "as_ngdc_tutma_bathy90m_hillshade" in the distribution links listed in the metadata. For further details about this dataset, please see: https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.ngdc.mgg.dem:647/html.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
elev (elevation, meters)


NOAA/NCEP Global Forecast System (GFS) Atmospheric Model

Summary:
U.S. National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) numerical weather prediction model 8-day, 3-hourly forecast for the globe at approximately 50-km or 0.5-deg resolution.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmpsfc (surface air temperature, K)
tmp2m (air temperature at 2m, K)
ugrd10m (eastward wind velocity at 10m, m s-1)
vgrd10m (northward wind velocity at 10m, m s-1)
pratesfc (rainfall rate, kg m-2 s-1)
rh2m (relative humidity at 2m, %)
prmslmsl (mean sea level pressure, Pa)
dlwrfsfc (surface downwelling longwave radiation flux, W m-2)
dswrfsfc (surface downwelling shortwave radiation flux, W m-2)


NOAA/NCEP Global Forecast System (GFS) Atmospheric Model, Lon+/-180


NOAA/NCEP Global Forecast System (GFS) Atmospheric Model: Pacific

Summary:
U.S. National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) numerical weather prediction model 8-day, 3-hourly forecast for the Pacific region at approximately 25-km or 0.25-deg resolution.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmpsfc (surface air temperature, K)
tmp2m (air temperature at 2m, K)
ugrd10m (eastward wind velocity at 10m, m s-1)
vgrd10m (northward wind velocity at 10m, m s-1)
pratesfc (rainfall rate, kg m-2 s-1)
rh2m (relative humidity at 2m, %)
prmslmsl (mean sea level pressure, Pa)
dlwrfsfc (surface downward longwave radiation flux, W m-2)
dswrfsfc (surface downward shortwave radiation flux, W m-2)


NOAA/NCEP Global Forecast System (GFS) Atmospheric Model: Pacific, Lon+/-180


NOAA/PIBHMC 1-m Bathymetry: Guam: Apra Harbor

Summary:
A 1-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Apra Harbor on the west coast of Guam compiled from ship-borne multibeam sonar surveys. Data collected by the Pacific Islands Benthic Habitat Mapping Center (PIBHMC) in support of NOAA's Coral Reef Conservation Program. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "gu_pibhmc_apra_bathy1m_hillshade" in the distribution links listed in the metadata. For further details about this dataset, please see: https://www.soest.hawaii.edu/pibhmc/cms/data-by-location/cnmi-guam/apra-harbor/.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
elev (elevation, meters)


NOAA/PIBHMC 10-m Bathymetry: American Samoa: Swains

Summary:
A 10-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Swains Island in American Samoa compiled from ship-borne multibeam sonar surveys. Almost complete bottom coverage was achieved in depths between 8 and 300 m. Data collected by the Pacific Islands Benthic Habitat Mapping Center (PIBHMC) in support of NOAA's Coral Reef Conservation Program. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "as_pibhmc_swa_bathy10m_hillshade" in the distribution links listed in the metadata. For further details about this dataset, please see: https://www.soest.hawaii.edu/pibhmc/cms/data-by-location/american-samoa/swains-island/.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
elev (elevation, meters)


NOAA/PIBHMC 10-m Bathymetry: CNMI: Agrihan

Summary:
A 10-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Agrihan Island in the Commonwealth of the Northern Mariana Islands (CNMI) compiled from ship-borne multibeam sonar surveys. Almost complete bottom coverage was achieved in depths between 4 and 800 m. Data collected by the Pacific Islands Benthic Habitat Mapping Center (PIBHMC) in support of NOAA's Coral Reef Conservation Program. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "mp_pibhmc_agr_bathy10m_hillshade" in the distribution links listed in the metadata. For further details about this dataset, please see: https://www.soest.hawaii.edu/pibhmc/cms/data-by-location/cnmi-guam/agrihan-island/.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
elev (elevation, meters)


NOAA/PIBHMC 10-m Bathymetry: CNMI: Alamagan

Summary:
A 10-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Alamagan Island in the Commonwealth of the Northern Mariana Islands (CNMI) compiled from ship-borne multibeam sonar surveys merged with coastal bathymetry derived from multipectral IKONOS satellite data. Almost complete bottom coverage was achieved in depths between 0 and 800 m. Data collected by the Pacific Islands Benthic Habitat Mapping Center (PIBHMC) in support of NOAA's Coral Reef Conservation Program. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "mp_pibhmc_ala_bathy10m_hillshade" in the distribution links listed in the metadata. For further details about this dataset, please see: https://www.soest.hawaii.edu/pibhmc/cms/data-by-location/cnmi-guam/alamagan-island/.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
elev (elevation, meters)


NOAA/PIBHMC 10-m Bathymetry: CNMI: Asuncion

Summary:
A 10-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Asuncion Island in the Commonwealth of the Northern Mariana Islands (CNMI) compiled from ship-borne multibeam sonar surveys merged with coastal bathymetry derived from multipectral IKONOS satellite data. Almost complete bottom coverage was achieved in depths between 0 and 800 m. Data collected by the Pacific Islands Benthic Habitat Mapping Center (PIBHMC) in support of NOAA's Coral Reef Conservation Program. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "mp_pibhmc_asu_bathy10m_hillshade" in the distribution links listed in the metadata. For further details about this dataset, please see: https://www.soest.hawaii.edu/pibhmc/cms/data-by-location/cnmi-guam/asunction-island/.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
elev (elevation, meters)


NOAA/PIBHMC 10-m Bathymetry: CNMI: Farallon De Pajaros

Summary:
A 10-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding the island of Farallon de Pajaros in the Commonwealth of the Northern Mariana Islands (CNMI) compiled from ship-borne multibeam sonar surveys. Almost complete bottom coverage was achieved in depths between 4 and 800 m. Data collected by the Pacific Islands Benthic Habitat Mapping Center (PIBHMC) in support of NOAA's Coral Reef Conservation Program. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "mp_pibhmc_fdp_bathy10m_hillshade" in the distribution links listed in the metadata. For further details about this dataset, please see: https://www.soest.hawaii.edu/pibhmc/cms/data-by-location/cnmi-guam/farallon-de-pajaros-island/.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
elev (elevation, meters)


NOAA/PIBHMC 10-m Bathymetry: CNMI: Guguan

Summary:
A 10-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Guguan Island in the Commonwealth of the Northern Mariana Islands (CNMI) compiled from ship-borne multibeam sonar surveys. Almost complete bottom coverage was achieved in depths between 7 and 800 m. Data collected by the Pacific Islands Benthic Habitat Mapping Center (PIBHMC) in support of NOAA's Coral Reef Conservation Program. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "mp_pibhmc_gug_bathy10m_hillshade" in the distribution links listed in the metadata. For further details about this dataset, please see: https://www.soest.hawaii.edu/pibhmc/cms/data-by-location/cnmi-guam/guguan-island/.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
elev (elevation, meters)


NOAA/PIBHMC 10-m Bathymetry: CNMI: Maug

Summary:
A 10-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Maug Island in the Commonwealth of the Northern Mariana Islands (CNMI) compiled from ship-borne multibeam sonar surveys merged with coastal bathymetry derived from multipectral IKONOS satellite data. Almost complete bottom coverage was achieved in depths between 0 and 800 m. Data collected by the Pacific Islands Benthic Habitat Mapping Center (PIBHMC) in support of NOAA's Coral Reef Conservation Program. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "mp_pibhmc_mau_bathy10m_hillshade" in the distribution links listed in the metadata. For further details about this dataset, please see: https://www.soest.hawaii.edu/pibhmc/cms/data-by-location/cnmi-guam/maug-island/.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
elev (elevation, meters)


NOAA/PIBHMC 10-m Bathymetry: CNMI: Pagan

Summary:
A 10-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Pagan Island in the Commonwealth of the Northern Mariana Islands (CNMI) compiled from ship-borne multibeam sonar surveys. Almost complete bottom coverage was achieved in depths between 5 and 800 m. Data collected by the Pacific Islands Benthic Habitat Mapping Center (PIBHMC) in support of NOAA's Coral Reef Conservation Program. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "mp_pibhmc_pag_bathy10m_hillshade" in the distribution links listed in the metadata. For further details about this dataset, please see: https://www.soest.hawaii.edu/pibhmc/cms/data-by-location/cnmi-guam/pagan-island/.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
elev (elevation, meters)