NOAA/PIBHMC 5-m Bathymetry: CNMI: Marpi Bank

Summary:
A 5-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Marpi Bank in the Commonwealth of the Northern Mariana Islands (CNMI) compiled from ship-borne multibeam sonar surveys. Marpi Bank is a steep-sided, flat-topped submerged bank approximately 28 km north of Saipan. Almost complete bottom coverage was achieved in depths between 53 and 400 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_mar_bathy5m_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/saipan-island-marpi-bank/.

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


NOAA/PIBHMC 5-m Bathymetry: CNMI: Maug

Summary:
A 5-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 500 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_bathy5m_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 5-m Bathymetry: CNMI: Rota

Summary:
A 5-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Rota Island in the Commonwealth of the Northern Mariana Islands (CNMI) compiled from ship-borne multibeam sonar surveys merged with coastal bathymetry derived from multipectral WorldView-2 (WV-2) satellite data. Almost complete bottom coverage was achieved in depths between 0 and 500 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_rot_bathy5m_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/rota-island/.

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


NOAA/PIBHMC 5-m Bathymetry: CNMI: Saipan

Summary:
A 5-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding the island of Saipan in the Commonwealth of the Northern Mariana Islands (CNMI) compiled from ship-borne multibeam sonar surveys merged with coastal bathymetry derived from multipectral WorldView-2 (WV-2) satellite data and aerial LiDAR data. Almost complete bottom coverage was achieved in depths between 0 and 600 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_sai_bathy5m_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/saipan-island-marpi-bank/.

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


NOAA/PIBHMC 5-m Bathymetry: CNMI: Tinian

Summary:
A 5-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Tinian 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 and aerial LiDAR data. Includes nearby Aguijan Island and Tatsumi Bank. Almost complete bottom coverage was achieved in depths between 0 and 400 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_tin_bathy5m_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/tinian-island/.

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


NOAA/PIBHMC 5-m Bathymetry: Guam

Summary:
A 5-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Guam compiled from ship-borne multibeam sonar surveys merged with bathymetry derived from aerial LiDAR data. Almost complete bottom coverage was achieved in depths between 0 and 400 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 "gu_pibhmc_all_bathy5m_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/guam-island/.

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


NOAA/PIBHMC 5-m Bathymetry: USMOI: Baker Island

Summary:
A 5-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Baker Island in the Central Pacific Ocean, a U.S. Minor Outlying Island (USMOI), compiled from ship-borne multibeam sonar surveys merged with coastal bathymetry derived from multipectral WorldView-2 (WV-2) satellite data. Almost complete bottom coverage was achieved in depths between 0 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 "hbi_pibhmc_bak_bathy5m_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/pacific-remote-island-area/baker-island/baker-island-bathymetry/.

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


NOAA/PIBHMC 5-m Bathymetry: USMOI: Howland Island

Summary:
A 5-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Howland Island in the Central Pacific Ocean, a U.S. Minor Outlying Island (USMOI), compiled from ship-borne multibeam sonar surveys. Almost complete bottom coverage was achieved in depths between 3 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 "hbi_pibhmc_how_bathy5m_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/pacific-remote-island-area/howland-island/howland-island-bathymetry/.

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


NOAA/PIBHMC 5-m Bathymetry: USMOI: Jarvis Island

Summary:
A 5-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Jarvis Island in the Central Pacific Ocean, a U.S. Minor Outlying Island (USMOI), compiled from ship-borne multibeam sonar surveys. Almost complete bottom coverage was achieved in depths between 3 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 "jai_pibhmc_all_bathy5m_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/pacific-remote-island-area/jarvis-island/jarvis-island-bathymetry/.

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


NOAA/PIBHMC 5-m Bathymetry: USMOI: Johnston Atoll

Summary:
A 5-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Johnston Atoll in the Central Pacific Ocean, a U.S. Minor Outlying Island (USMOI), 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 150 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 "jat_pibhmc_all_bathy5m_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/pacific-remote-island-area/johnston-atoll/johnston-atoll-bathymetry/.

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


NOAA/PIBHMC 5-m Bathymetry: USMOI: Kingman Reef

Summary:
A 5-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Kingman Reef in the Central Pacific Ocean, a U.S. Minor Outlying Island (USMOI), 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 345 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 "kng_pibhmc_all_bathy5m_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/pacific-remote-island-area/kingman-reef/kingman-reef-bathymetry/.

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


NOAA/PIBHMC 5-m Bathymetry: USMOI: Palmyra Atoll

Summary:
A 5-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Palmyra Atoll in the Central Pacific Ocean, a U.S. Minor Outlying Island (USMOI), 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 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 "pat_pibhmc_all_bathy5m_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/pacific-remote-island-area/palymyra-atoll/palmyra-atoll-bathymetry/.

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


NOAA/PIBHMC 60-m Bathymetry: CNMI: Rota

Summary:
A 60-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Rota 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 1890 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_rot_bathy60m_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/rota-island/.

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


NOAA/PIBHMC 60-m Bathymetry: Guam

Summary:
A 60-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Guam compiled from ship-borne multibeam sonar surveys. Almost complete bottom coverage was achieved in depths between 3 and 3500 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 "gu_pibhmc_all_bathy60m_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/guam-island/.

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


Northwestern Hawaiian Islands Multibeam Bathymetry Synthesis: 60-m Bathymetry

Summary:
A 60-m resolution gridded synthesis of all available bathymetry (ocean depth) data for the Northwestern Hawaiian Islands (NWHI), including ship-borne multibeam sonar surveys merged with lower resolution (500-m) global bathymetry from SRTM15+V2. Because of its remote location, dedicated multibeam mapping of the NWHI region began only in the year 2000. In an effort to consolidate the more recent systematic surveys with older transit data swaths for this region, a synthesis of all existing multibeam data was undertaken beginning in 2009, with a seventh revision completed in mid 2019. Data provided by the Hawaii Undersea Research Laboratory (HURL) 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_hurl_nwhi_bathy60m_hillshade" in the distribution links listed in the metadata.

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


Regional Ocean Modeling System (ROMS): Guam: 2-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 6-day, 3-hourly forecast for the region surrounding Guam and parts of the Commonwealth of the Northern Mariana Islands (CNMI) at approximately 2-km resolution. Boundary conditions provided by the wider ROMS model for the region surrounding the Western North Pacific (roms_mari) at approximately 4-km resolution. Atmospheric forcing generated by the Weather Research and Forecasting (WRF) model for the region surrounding Guam and parts of the Commonwealth of the Northern Mariana Islands (CNMI) (wrf_guam) at approximately 3-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 3 days using all available observations to improve the model estimate of current ocean state (its nowcast) before forecasts are run. Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; and in-situ water temperature and salinity profiles from ARGO floats. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
zeta (free-surface, meter)

Pacific Islands Ocean Observing System (PacIOOS)


Regional Ocean Modeling System (ROMS): Guam: 3-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 6-day, 3-hourly forecast for the region surrounding Guam and parts of the Commonwealth of the Northern Mariana Islands (CNMI) at approximately 2-km resolution. Boundary conditions provided by the wider ROMS model for the region surrounding the Western North Pacific (roms_mari) at approximately 4-km resolution. Atmospheric forcing generated by the Weather Research and Forecasting (WRF) model for the region surrounding Guam and parts of the Commonwealth of the Northern Mariana Islands (CNMI) (wrf_guam) at approximately 3-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 3 days using all available observations to improve the model estimate of current ocean state (its nowcast) before forecasts are run. Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; and in-situ water temperature and salinity profiles from ARGO floats. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temp (potential temperature, Celsius)
salt (salinity, 1e-3)
u (u-velocity component, meter second-1)
v (v-velocity component, meter second-1)


Regional Ocean Modeling System (ROMS): Main Hawaiian Islands: 2-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 7-day, 3-hourly forecast for the region surrounding the main Hawaiian Islands at approximately 4-km resolution. Boundary conditions provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing generated by the Weather Research and Forecasting (WRF) model for the region surrounding the main Hawaiian Islands (wrf_hi) at approximately 6-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 3 days using all available observations to improve the model estimate of current ocean state (its nowcast) before forecasts are run. Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; surface currents from PacIOOS high-frequency radios (HFR); and in-situ water temperature and salinity profiles from ARGO floats and ocean glider autonomous underwater vehicles (AUV). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
zeta (free-surface, meter)


Regional Ocean Modeling System (ROMS): Main Hawaiian Islands: 3-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 7-day, 3-hourly forecast for the region surrounding the main Hawaiian Islands at approximately 4-km resolution. Boundary conditions provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing generated by the Weather Research and Forecasting (WRF) model for the region surrounding the main Hawaiian Islands (wrf_hi) at approximately 6-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 3 days using all available observations to improve the model estimate of current ocean state (its nowcast) before forecasts are run. Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; surface currents from PacIOOS high-frequency radios (HFR); and in-situ water temperature and salinity profiles from ARGO floats and ocean glider autonomous underwater vehicles (AUV). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temp (potential temperature, Celsius)
salt (salinity, 1e-3)
u (u-velocity component, meter second-1)
v (v-velocity component, meter second-1)


Regional Ocean Modeling System (ROMS): Main Hawaiian Islands: Data Assimilating: 2-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 3-day, 3-hourly data assimilating hindcast for the region surrounding the main Hawaiian Islands at approximately 4-km resolution. Boundary conditions provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing generated by the Weather Research and Forecasting (WRF) model for the region surrounding the main Hawaiian Islands (wrf_hi) at approximately 6-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 3 days using all available observations to improve the model estimate of current ocean state (its nowcast). Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; surface currents from PacIOOS high-frequency radios (HFR); and in-situ water temperature and salinity profiles from ARGO floats and ocean glider autonomous underwater vehicles (AUV). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
zeta (free-surface, meter)


Regional Ocean Modeling System (ROMS): Main Hawaiian Islands: Data Assimilating: 3-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 3-day, 3-hourly data assimilating hindcast for the region surrounding the main Hawaiian Islands at approximately 4-km resolution. Boundary conditions provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing generated by the Weather Research and Forecasting (WRF) model for the region surrounding the main Hawaiian Islands (wrf_hi) at approximately 6-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 3 days using all available observations to improve the model estimate of current ocean state (its nowcast). Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; surface currents from PacIOOS high-frequency radios (HFR); and in-situ water temperature and salinity profiles from ARGO floats and ocean glider autonomous underwater vehicles (AUV). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temp (potential temperature, Celsius)
salt (salinity, 1e-3)
u (u-velocity component, meter second-1)
v (v-velocity component, meter second-1)


Regional Ocean Modeling System (ROMS): Main Hawaiian Islands: Reanalysis: 2-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 3-hourly data assimilating reanalysis for the region surrounding the main Hawaiian Islands at approximately 4-km resolution. Boundary conditions provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing generated by the Weather Research and Forecasting (WRF) model for the region surrounding the main Hawaiian Islands (wrf_hi) at approximately 6-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 3 days using all available observations to improve the model estimate of current ocean state (its nowcast). Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; surface currents from PacIOOS high-frequency radios (HFR); and in-situ water temperature and salinity profiles from ARGO floats and ocean glider autonomous underwater vehicles (AUV). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
zeta (free-surface, meter)


Regional Ocean Modeling System (ROMS): Main Hawaiian Islands: Reanalysis: 3-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 3-hourly data assimilating reanalysis for the region surrounding the main Hawaiian Islands at approximately 4-km resolution. Boundary conditions provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing generated by the Weather Research and Forecasting (WRF) model for the region surrounding the main Hawaiian Islands (wrf_hi) at approximately 6-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 3 days using all available observations to improve the model estimate of current ocean state (its nowcast). Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; surface currents from PacIOOS high-frequency radios (HFR); and in-situ water temperature and salinity profiles from ARGO floats and ocean glider autonomous underwater vehicles (AUV). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temp (potential temperature, Celsius)
salt (salinity, 1e-3)
u (u-velocity component, meter second-1)
v (v-velocity component, meter second-1)


Regional Ocean Modeling System (ROMS): Oahu South Shore: 2-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 3-day, 3-hourly forecast for the region surrounding the south shore of the island of Oahu at approximately 200-m resolution. Boundary conditions provided by the wider ROMS model for the region surrounding the island of Oahu (roms_hiog) at approximately 1-km resolution. Atmospheric forcing generated by the Weather Research and Forecasting (WRF) model for the region surrounding the island of Oahu (wrf_oa) at approximately 1.5-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 3 days using all available observations to improve the model estimate of current ocean state (its nowcast) before forecasts are run. Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; surface currents from PacIOOS high-frequency radios (HFR); and in-situ water temperature and salinity profiles from ARGO floats and ocean glider autonomous underwater vehicles (AUV). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
zeta (free-surface, meter)


Regional Ocean Modeling System (ROMS): Oahu South Shore: 3-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 3-day, 3-hourly forecast for the region surrounding the south shore of the island of Oahu at approximately 200-m resolution. Boundary conditions provided by the wider ROMS model for the region surrounding the island of Oahu (roms_hiog) at approximately 1-km resolution. Atmospheric forcing generated by the Weather Research and Forecasting (WRF) model for the region surrounding the island of Oahu (wrf_oa) at approximately 1.5-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 3 days using all available observations to improve the model estimate of current ocean state (its nowcast) before forecasts are run. Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; surface currents from PacIOOS high-frequency radios (HFR); and in-situ water temperature and salinity profiles from ARGO floats and ocean glider autonomous underwater vehicles (AUV). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temp (potential temperature, Celsius)
salt (salinity, 1e-3)
u (u-velocity component, meter second-1)
v (v-velocity component, meter second-1)


Regional Ocean Modeling System (ROMS): Samoa: 2-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 7-day, 3-hourly forecast for the region surrounding the islands of Samoa at approximately 3-km resolution. Boundary conditions provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing generated by the Weather Research and Forecasting (WRF) model for the region surrounding the islands of Samoa (wrf_samoa) at approximately 3-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 3 days using all available observations to improve the model estimate of current ocean state (its nowcast) before forecasts are run. Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; and in-situ water temperature and salinity profiles from ARGO floats. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
zeta (free-surface, meter)


Regional Ocean Modeling System (ROMS): Samoa: 3-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 7-day, 3-hourly forecast for the region surrounding the islands of Samoa at approximately 3-km resolution. Boundary conditions provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing generated by the Weather Research and Forecasting (WRF) model for the region surrounding the islands of Samoa (wrf_samoa) at approximately 3-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 3 days using all available observations to improve the model estimate of current ocean state (its nowcast) before forecasts are run. Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; and in-situ water temperature and salinity profiles from ARGO floats. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temp (potential temperature, Celsius)
salt (salinity, 1e-3)
u (u-velocity component, meter second-1)
v (v-velocity component, meter second-1)


Regional Ocean Modeling System (ROMS): Samoa: Data Assimilating: 2-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 3-day, 3-hourly data assimilating hindcast for the region surrounding the islands of Samoa at approximately 3-km resolution. Boundary conditions provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing generated by the Weather Research and Forecasting (WRF) model for the region surrounding the islands of Samoa (wrf_samoa) at approximately 3-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 3 days using all available observations to improve the model estimate of current ocean state (its nowcast). Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; and in-situ water temperature and salinity profiles from ARGO floats. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
zeta (free-surface, meter)


Regional Ocean Modeling System (ROMS): Samoa: Data Assimilating: 3-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 3-day, 3-hourly data assimilating hindcast for the region surrounding the islands of Samoa at approximately 3-km resolution. Boundary conditions provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing generated by the Weather Research and Forecasting (WRF) model for the region surrounding the islands of Samoa (wrf_samoa) at approximately 3-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 3 days using all available observations to improve the model estimate of current ocean state (its nowcast). Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; and in-situ water temperature and salinity profiles from ARGO floats. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temp (potential temperature, Celsius)
salt (salinity, 1e-3)
u (u-velocity component, meter second-1)
v (v-velocity component, meter second-1)


Regional Ocean Modeling System (ROMS): Western North Pacific: 2-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 7-day, 3-hourly forecast for the region surrounding the Western North Pacific at approximately 8-km resolution. Boundary conditions provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing generated by the NOAA/NCEP Global Forecast System (GFS) model for the region surrounding the Western North Pacific at approximately 25-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 5 days using all available observations to improve the model estimate of current ocean state (its nowcast) before forecasts are run. Assimilated observations are collected independently of PacIOOS and may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; surface currents around Palau from CORDC High Frequency Radars (HFR), Scripps Institute of Oceanography; and in-situ water temperature and salinity profiles from ARGO floats. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
zeta (free-surface, meter)


Regional Ocean Modeling System (ROMS): Western North Pacific: 3-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 7-day, 3-hourly forecast for the region surrounding the Western North Pacific at approximately 8-km resolution. Boundary conditions provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing generated by the NOAA/NCEP Global Forecast System (GFS) model for the region surrounding the Western North Pacific at approximately 25-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 5 days using all available observations to improve the model estimate of current ocean state (its nowcast) before forecasts are run. Assimilated observations are collected independently of PacIOOS and may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; surface currents around Palau from CORDC High Frequency Radars (HFR), Scripps Institute of Oceanography; and in-situ water temperature and salinity profiles from ARGO floats. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temp (potential temperature, Celsius)
salt (salinity, 1e-3)
u (u-velocity component, meter second-1)
v (v-velocity component, meter second-1)


Regional Ocean Modeling System (ROMS): Western North Pacific: Data Assimilating: 2-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 5-day, 3-hourly data assimilating hindcast for the region surrounding the Western North Pacific at approximately 8-km resolution. Boundary conditions provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing generated by the NOAA/NCEP Global Forecast System (GFS) model for the region surrounding the Western North Pacific at approximately 25-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 5 days using all available observations to improve the model estimate of current ocean state (its nowcast). Assimilated observations are collected independently of PacIOOS and may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; surface currents around Palau from CORDC High Frequency Radars (HFR), Scripps Institute of Oceanography; and in-situ water temperature and salinity profiles from ARGO floats. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
zeta (free-surface, meter)


Regional Ocean Modeling System (ROMS): Western North Pacific: Data Assimilating: 3-D Variables

Summary:
Regional Ocean Modeling System (ROMS) 5-day, 3-hourly data assimilating hindcast for the region surrounding the Western North Pacific at approximately 8-km resolution. Boundary conditions provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing generated by the NOAA/NCEP Global Forecast System (GFS) model for the region surrounding the Western North Pacific at approximately 25-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 5 days using all available observations to improve the model estimate of current ocean state (its nowcast). Assimilated observations are collected independently of PacIOOS and may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; surface currents around Palau from CORDC High Frequency Radars (HFR), Scripps Institute of Oceanography; and in-situ water temperature and salinity profiles from ARGO floats. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temp (potential temperature, Celsius)
salt (salinity, 1e-3)
u (u-velocity component, meter second-1)
v (v-velocity component, meter second-1)


Simulating WAves Nearshore (SWAN) Regional Wave Model: Big Island

Summary:
Simulating WAves Nearshore (SWAN) regional wave model 7-day output with a 5-day hourly forecast for the Big Island of Hawaii at approximately 500-m resolution. This high-resolution model is utilized to capture shallow water effects and nearshore coastal dynamics such as refracting, shoaling, and smaller scale shadowing. It is run directly after the Hawaii regional WaveWatch III (WW3) wave model (ww3_hawaii) has completed. Please note that some of the nested model setup is still in the testing and validation phase. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
mdir (mean wave direction, degrees)
mper (mean wave period, second)
pdir (peak wave direction, degrees)
pper (peak wave period, second)
shgt (significant wave height, meters)


Simulating WAves Nearshore (SWAN) Regional Wave Model: Big Island, Lon+/-180


Simulating WAves Nearshore (SWAN) Regional Wave Model: Guam

Summary:
Simulating WAves Nearshore (SWAN) regional wave model 7-day output with a 5-day hourly forecast for the island of Guam at approximately 500-m resolution. This high-resolution model is utilized to capture shallow water effects and nearshore coastal dynamics such as refracting, shoaling, and smaller scale shadowing. It is run directly after the Mariana Islands regional WaveWatch III (WW3) wave model (ww3_mariana) has completed. Please note that some of the nested model setup is still in the testing and validation phase. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
mdir (mean wave direction, degrees)
mper (mean wave period, second)
pdir (peak wave direction, degrees)
pper (peak wave period, second)
shgt (significant wave height, meters)


Simulating WAves Nearshore (SWAN) Regional Wave Model: Guam: Apra Harbor

Summary:
Simulating WAves Nearshore (SWAN) regional wave model 7-day output with a 5-day hourly forecast for Apra Harbor on the island of Guam at approximately 50-m resolution. This high-resolution model is utilized to capture shallow water effects and nearshore coastal dynamics such as refracting, shoaling, and smaller scale shadowing. It is run directly after the Mariana Islands regional WaveWatch III (WW3) wave model (ww3_mariana) has completed. Please note that some of the nested model setup is still in the testing and validation phase. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
mdir (mean wave direction, degrees)
mper (mean wave period, second)
pdir (peak wave direction, degrees)
pper (peak wave period, second)
shgt (significant wave height, meters)


Simulating WAves Nearshore (SWAN) Regional Wave Model: Kauai

Summary:
Simulating WAves Nearshore (SWAN) regional wave model 7-day output with a 5-day hourly forecast for the Hawaiian islands of Kauai and Niihau at approximately 500-m resolution. This high-resolution model is utilized to capture shallow water effects and nearshore coastal dynamics such as refracting, shoaling, and smaller scale shadowing. It is run directly after the Hawaii regional WaveWatch III (WW3) wave model (ww3_hawaii) has completed. Please note that some of the nested model setup is still in the testing and validation phase. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
mdir (mean wave direction, degrees)
mper (mean wave period, second)
pdir (peak wave direction, degrees)
pper (peak wave period, second)
shgt (significant wave height, meters)


Simulating WAves Nearshore (SWAN) Regional Wave Model: Kauai, Lon+/-180


Simulating WAves Nearshore (SWAN) Regional Wave Model: Manua, American Samoa

Summary:
Simulating WAves Nearshore (SWAN) regional wave model 7-day output with a 5-day hourly forecast for the Manua Islands (Ofu, Olosega, and Tau) of American Samoa at approximately 275-m resolution. This high-resolution model is utilized to capture shallow water effects and nearshore coastal dynamics such as refracting, shoaling, and smaller scale shadowing. It is run directly after the Samoa regional WaveWatch III (WW3) wave model (ww3_samoa) has completed. Please note that some of the nested model setup is still in the testing and validation phase. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
mdir (mean wave direction, degrees)
mper (mean wave period, second)
pdir (peak wave direction, degrees)
pper (peak wave period, second)
shgt (significant wave height, meters)


Simulating WAves Nearshore (SWAN) Regional Wave Model: Manua, American Samoa, Lon+/-180


Simulating WAves Nearshore (SWAN) Regional Wave Model: Maui

Summary:
Simulating WAves Nearshore (SWAN) regional wave model 7-day output with a 5-day hourly forecast for the Hawaiian islands of Maui County (Maui, Molokai, Lanai, and Kahoolawe) at approximately 500-m resolution. This high-resolution model is utilized to capture shallow water effects and nearshore coastal dynamics such as refracting, shoaling, and smaller scale shadowing. It is run directly after the Hawaii regional WaveWatch III (WW3) wave model (ww3_hawaii) has completed. Please note that some of the nested model setup is still in the testing and validation phase. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
mdir (mean wave direction, degrees)
mper (mean wave period, second)
pdir (peak wave direction, degrees)
pper (peak wave period, second)
shgt (significant wave height, meters)


Simulating WAves Nearshore (SWAN) Regional Wave Model: Maui, Lon+/-180


Simulating WAves Nearshore (SWAN) Regional Wave Model: Oahu

Summary:
Simulating WAves Nearshore (SWAN) regional wave model 7-day output with a 5-day hourly forecast for the Hawaiian island of Oahu at approximately 500-m resolution. This high-resolution model is utilized to capture shallow water effects and nearshore coastal dynamics such as refracting, shoaling, and smaller scale shadowing. It is run directly after the Hawaii regional WaveWatch III (WW3) wave model (ww3_hawaii) has completed. Please note that some of the nested model setup is still in the testing and validation phase. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
mdir (mean wave direction, degrees)
mper (mean wave period, second)
pdir (peak wave direction, degrees)
pper (peak wave period, second)
shgt (significant wave height, meters)


Simulating WAves Nearshore (SWAN) Regional Wave Model: Oahu, Lon+/-180


Simulating WAves Nearshore (SWAN) Regional Wave Model: Rota, CNMI

Summary:
Simulating WAves Nearshore (SWAN) regional wave model 7-day output with a 5-day hourly forecast for the island of Rota in the Commonwealth of the Northern Mariana Islands (CNMI) at approximately 550-m resolution. This high-resolution model is utilized to capture shallow water effects and nearshore coastal dynamics such as refracting, shoaling, and smaller scale shadowing. It is run directly after the Mariana Islands regional WaveWatch III (WW3) wave model (ww3_mariana) has completed. Please note that some of the nested model setup is still in the testing and validation phase. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
mdir (mean wave direction, degrees)
mper (mean wave period, second)
pdir (peak wave direction, degrees)
pper (peak wave period, second)
shgt (significant wave height, meters)


Simulating WAves Nearshore (SWAN) Regional Wave Model: Saipan, CNMI

Summary:
Simulating WAves Nearshore (SWAN) regional wave model 7-day output with a 5-day hourly forecast for the islands of Saipan, Tinian, and Aguijan in the Commonwealth of the Northern Mariana Islands (CNMI) at approximately 365-m resolution. This high-resolution model is utilized to capture shallow water effects and nearshore coastal dynamics such as refracting, shoaling, and smaller scale shadowing. It is run directly after the Mariana Islands regional WaveWatch III (WW3) wave model (ww3_mariana) has completed. Please note that some of the nested model setup is still in the testing and validation phase. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
mdir (mean wave direction, degrees)
mper (mean wave period, second)
pdir (peak wave direction, degrees)
pper (peak wave period, second)
shgt (significant wave height, meters)


Simulating WAves Nearshore (SWAN) Regional Wave Model: Tutuila, American Samoa

Summary:
Simulating WAves Nearshore (SWAN) regional wave model 7-day output with a 5-day hourly forecast for the island of Tutuila, American Samoa at approximately 250-m resolution. This high-resolution model is utilized to capture shallow water effects and nearshore coastal dynamics such as refracting, shoaling, and smaller scale shadowing. It is run directly after the Samoa regional WaveWatch III (WW3) wave model (ww3_samoa) has completed. Please note that some of the nested model setup is still in the testing and validation phase. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
mdir (mean wave direction, degrees)
mper (mean wave period, second)
pdir (peak wave direction, degrees)
pper (peak wave period, second)
shgt (significant wave height, meters)


Simulating WAves Nearshore (SWAN) Regional Wave Model: Tutuila, American Samoa, Lon+/-180


SPC/GEM 5-m Bathymetry: RMI: Majuro: Lagoon

Summary:
A 5-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) of the lagoon environment of Majuro Atoll in the Republic of the Marshall Islands (RMI). Compiled from ship-borne multibeam sonar surveys conducted from 2003-2006 by the Pacific Community (SPC) Geoscience, Energy and Maritime (GEM) Division, formerly the South Pacific Applied Geoscience Commission (SOPAC). This work was implemented through the project "Reducing Vulnerability of Pacific States" funded by the European Development Fund. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "mh_sopac_maj_bathy_lagoon_hillshade" in the distribution links listed in the metadata.

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

SPC Geoscience, Energy and Maritime (GEM) Division


SPC/GEM 50-m Bathymetry: RMI: Majuro: Reef

Summary:
A 50-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) of the eastern reef of Majuro Atoll in the Republic of the Marshall Islands (RMI). Compiled from ship-borne multibeam sonar surveys conducted from 2003-2006 by the Pacific Community (SPC) Geoscience, Energy and Maritime (GEM) Division, formerly the South Pacific Applied Geoscience Commission (SOPAC). This work was implemented through the project "Reducing Vulnerability of Pacific States" funded by the European Development Fund. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "mh_sopac_maj_bathy_reef_east_hillshade" in the distribution links listed in the metadata.

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


SRTM30+ Global 1-km Digital Elevation Model (DEM): Version 11: Bathymetry

Summary:
Global 1-km resolution bathymetry from the 30 arc-second SRTM30+ gridded digital elevation model (DEM). Based on the Smith and Sandwell global 1 arc-minute grid between latitudes +/- 81 degrees. Higher resolution grids have been added from the LDEO Ridge Multibeam Synthesis Project, the JAMSTEC Data Site for Research Cruises, and the NOAA/NCEI Coastal Relief Model. Arctic bathymetry is from the International Bathymetric Chart of the Oceans (IBCAO). For a grayscale hillshade image layer of this dataset, see "world_srtm30plus_bathy1km_hillshade" in the distribution links listed in the metadata.

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

Scripps Institution of Oceanography (SIO)


SRTM30+ Global 1-km Digital Elevation Model (DEM): Version 11: Land Surface

Summary:
A global 1-km resolution land surface digital elevation model (DEM) derived from U.S. Geological Survey (USGS) 30 arc-second SRTM30 gridded DEM data created from the NASA Shuttle Radar Topography Mission (SRTM). GTOPO30 data are used for high latitudes where SRTM data are not available. For a grayscale hillshade image layer of this dataset, see "world_srtm30plus_dem1km_hillshade" in the distribution links listed in the metadata.

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


Surface CUrrents from a Diagnostic model (SCUD): Pacific, Lon+/-180

Summary:
The SCUD data product is an estimate of upper-ocean velocities computed from a diagnostic model (Surface CUrrents from a Diagnostic model). This model makes daily estimates of ocean currents by combining geostrophic and Ekman currents. The estimate is computed through derived coefficients such that the results best match ocean drifting buoys. The currents therefore are a best-estimate of currents at 15 meters (drifting buoys are drogued at 15 meters). The dataset is intended to diagnose trajectories of a tracer floating near the surface such as marine debris, oil spills, etc. The data are provided on a 1/4-degree grid for the Pacific.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
u (sea water velocity: eastward component, meter second-1)
v (sea water velocity: northward component, meter second-1)


Tide Model (Barotropic) for the Pacific Ocean: Tidal Velocity, Lon+/-180

Summary:
Barotropic tide model for the Pacific Ocean. The model is based on harmonics distributed by Oregon State University (OSU) and assimilates satellite altimetry data from TOPEX/Poseidon. It was generated using OSU Tidal Prediction Software (OTPS), modified locally by J. Potemra, using barotropic inverse tidal solutions from OSU. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use this output with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
u (u-velocity component, meter second-1)
v (v-velocity component, meter second-1)


Tide Model for the Big Island of Hawaii: Tidal Velocity

Summary:
Tide model for the Big Island of Hawaii. The model is based on climatological stratification, but 64 harmonics are used to model the full-depth baroclinic tides. The model has been run at 1km resolution, hourly, through the end of 2024. Due to computing limitations, the model grid is divided into two pieces, one for the Northwestern main Hawaiian Islands (Kauai, Oahu, Maui) and the other for the Big Island. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use this output with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth_percent][latitude][longitude]):
u (u-velocity component, meter second-1)
v (v-velocity component, meter second-1)


Tide Model for the Hawaiian Islands: Main NW Islands: Tidal Velocity

Summary:
Tide model for the Hawaiian Islands. The model is based on climatological stratification, but 64 harmonics are used to model the full-depth baroclinic tides. The model has been run at 1km resolution, hourly, through the end of 2024. Due to computing limitations, the model grid is divided into two pieces, one for the Northwestern main Hawaiian Islands (Kauai, Oahu, Maui) and the other for the Big Island. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use this output with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth_percent][latitude][longitude]):
u (u-velocity component, meter second-1)
v (v-velocity component, meter second-1)


Topography, Smith & Sandwell v11.1, 1/60-degree

Summary:
Global seafloor topography from satellite altimetry and ship depth soundings.

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


USGS 10-m Digital Elevation Model (DEM): American Samoa: Ofu and Olosega

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the Manua Islands of Ofu and Olosega in American Samoa from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "as_usgs_ofuolo_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): American Samoa: Tau

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the Manua Island of Tau in American Samoa from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "as_usgs_tau_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): American Samoa: Tutuila

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the island of Tutuila in American Samoa from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "as_usgs_tutaun_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): CNMI: Aguijan

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the island of Aguijan in the Commonwealth of the Northern Mariana Islands (CNMI) from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "mp_usgs_agu_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): CNMI: Rota

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the island of Rota in the Commonwealth of the Northern Mariana Islands (CNMI) from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "mp_usgs_rot_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): CNMI: Saipan

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the island of Saipan in the Commonwealth of the Northern Mariana Islands (CNMI) from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "mp_usgs_sai_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): CNMI: Tinian

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the island of Tinian in the Commonwealth of the Northern Mariana Islands (CNMI) from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "mp_usgs_tin_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): FSM: Chuuk

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the islands of Chuuk in the Federated States of Micronesia (FSM) from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "fm_usgs_chu_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): FSM: Kosrae

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the island of Kosrae in the Federated States of Micronesia (FSM) from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "fm_usgs_kos_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): FSM: Pohnpei

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the island of Pohnpei in the Federated States of Micronesia (FSM) from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "fm_usgs_poh_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): Guam

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the island of Guam from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "gu_usgs_all_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): Hawaii: Big Island

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for Big Island in Hawaii from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "hi_usgs_bigi_dem10m_hillshade" and "hi_usgs_all_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): Hawaii: Kahoolawe

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the island of Kahoolawe in Hawaii from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "hi_usgs_kaho_dem10m_hillshade" and "hi_usgs_all_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): Hawaii: Kauai

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the island of Kauai in Hawaii from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "hi_usgs_kaua_dem10m_hillshade" and "hi_usgs_all_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): Hawaii: Lanai

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the island of Lanai in Hawaii from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "hi_usgs_lana_dem10m_hillshade" and "hi_usgs_all_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): Hawaii: Maui

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the island of Maui in Hawaii from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "hi_usgs_maui_dem10m_hillshade" and "hi_usgs_all_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): Hawaii: Molokai

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the island of Molokai in Hawaii from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "hi_usgs_molo_dem10m_hillshade" and "hi_usgs_all_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): Hawaii: Niihau

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the island of Niihau in Hawaii from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "hi_usgs_niih_dem10m_hillshade" and "hi_usgs_all_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): Hawaii: Oahu

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the island of Oahu in Hawaii from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "hi_usgs_oahu_dem10m_hillshade" and "hi_usgs_all_dem10m_hillshade" in the distribution links listed in the metadata.

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


USGS 10-m Digital Elevation Model (DEM): Palau

Summary:
A 10-meter resolution land surface digital elevation model (DEM) for the islands of Palau from U.S. Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For a grayscale hillshade image layer of this dataset, see "pw_usgs_all_dem10m_hillshade" in the distribution links listed in the metadata.

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


WaveWatch III (WW3) Global Wave Model, Lon+/-180

Summary:
Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) 7-day model with a 5-day hourly forecast at approximately 50-km or 0.5-deg resolution. The global model is forced with NOAA/NCEP's Global Forecast System (GFS) winds. This model is designed to capture the large-scale ocean waves and provide spectral boundary conditions for the Hawaii and other Pacific regional WW3 models. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Tdir (peak wave direction, degrees)
Tper (peak wave period, second)
Thgt (significant wave height, meters)
sdir (swell peak wave direction, degrees)
sper (swell peak wave period, seconds)
shgt (swell significant wave height, meters)
wdir (wind peak wave direction, degrees)
wper (wind peak wave period, seconds)
whgt (wind significant wave height, meters)


WaveWatch III (WW3) Hawaii Regional Wave Model, Lon+/-180

Summary:
Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) model (ww3_global), which in turn provides boundary conditions for this Hawaii regional WW3: a 7-day model with a 5-day hourly forecast at approximately 5-km or 0.05-deg resolution. The primary purpose of this regional model is to capture island effects such as island shadowing, refraction, and accurate modeling of local wind waves. Hawaii WW3 is forced with winds from the University of Hawaii Meteorology Department's operational mesoscale model, which has a more suitable spatial resolution than the global scale wind field. The Hawaii regional WW3 also provides boundary conditions for nearshore island-scale models via Simulating WAves Nearshore (SWAN). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Tdir (peak wave direction, degrees)
Tper (peak wave period, second)
Thgt (significant wave height, meters)
sdir (swell peak wave direction, degrees)
sper (swell peak wave period, seconds)
shgt (swell significant wave height, meters)
wdir (wind peak wave direction, degrees)
wper (wind peak wave period, seconds)
whgt (wind significant wave height, meters)


WaveWatch III (WW3) Mariana Regional Wave Model

Summary:
Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) model (ww3_global), which in turn provides boundary conditions for this Mariana Islands regional WW3: a 7-day model with a 5-day hourly forecast at approximately 5-km or 0.05-deg resolution. The primary purpose of this regional model is to capture island effects such as island shadowing, refraction, and accurate modeling of local wind waves. The Mariana regional WW3 also provides boundary conditions for nearshore island-scale models via Simulating WAves Nearshore (SWAN). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Tdir (peak wave direction, degrees)
Tper (peak wave period, second)
Thgt (significant wave height, meters)
sdir (swell peak wave direction, degrees)
sper (swell peak wave period, seconds)
shgt (swell significant wave height, meters)
wdir (wind peak wave direction, degrees)
wper (wind peak wave period, seconds)
whgt (wind significant wave height, meters)


WaveWatch III (WW3) Northwestern Hawaiian Islands (NWHI) Regional Wave Model, Lon+/-180

Summary:
Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) model (ww3_global), which in turn provides boundary conditions for this Northwestern Hawaiian Islands (NWHI) regional WW3: a 7-day model with a 5-day hourly forecast at approximately 5-km or 0.05-deg resolution. The primary purpose of this regional model is to capture island effects such as island shadowing, refraction, and accurate modeling of local wind waves. NWHI WW3 is forced with winds from the University of Hawaii Meteorology Department's operational mesoscale model, which has a more suitable spatial resolution than the global scale wind field. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Tdir (peak wave direction, degrees)
Tper (peak wave period, second)
Thgt (significant wave height, meters)
sdir (swell peak wave direction, degrees)
sper (swell peak wave period, seconds)
shgt (swell significant wave height, meters)
wdir (wind peak wave direction, degrees)
wper (wind peak wave period, seconds)
whgt (wind significant wave height, meters)


WaveWatch III (WW3) Samoa Regional Wave Model, Lon+/-180

Summary:
Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) model (ww3_global), which in turn provides boundary conditions for this Samoa regional WW3: a 7-day model with a 5-day hourly forecast at approximately 5-km or 0.05-deg resolution. The primary purpose of this regional model is to capture island effects such as island shadowing, refraction, and accurate modeling of local wind waves. The Samoa regional WW3 also provides boundary conditions for nearshore island-scale models via Simulating WAves Nearshore (SWAN). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Tdir (peak wave direction, degrees)
Tper (peak wave period, second)
Thgt (significant wave height, meters)
sdir (swell peak wave direction, degrees)
sper (swell peak wave period, seconds)
shgt (swell significant wave height, meters)
wdir (wind peak wave direction, degrees)
wper (wind peak wave period, seconds)
whgt (wind significant wave height, meters)


Weather Research and Forecasting (WRF) Regional Atmospheric Model: CNMI

Summary:
Weather Research and Forecasting (WRF) mesoscale numerical weather prediction model 7-day hourly forecast for the region surrounding the Commonwealth of the Northern Mariana Islands (CNMI) at approximately 12-km resolution. Uses the Advanced Research WRF (ARW) dynamical solver developed and maintained by the Mesoscale and Microscale Meteorology Division of the National Center for Atmospheric Research (NCAR). Model runs produced at the University of Hawaii by Yi-Leng Chen.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Tair (air temperature at 2m, Celsius)
Uwind (u-wind component at 10m, meter second-1)
Vwind (v-wind component at 10m, meter second-1)
rain (rainfall rate, kilogram meter-2 second-1)
Qair (surface air relative humidity, %)
Pair (surface air pressure, millibar)
lwrad_down (net longwave radiation flux, Watts meter-2)
swrad (solar shortwave radiation flux, Watts meter-2)


Weather Research and Forecasting (WRF) Regional Atmospheric Model: Guam

Summary:
Weather Research and Forecasting (WRF) mesoscale numerical weather prediction model 7-day hourly forecast for the region surrounding the island of Guam at approximately 3-km resolution. Uses the Advanced Research WRF (ARW) dynamical solver developed and maintained by the Mesoscale and Microscale Meteorology Division of the National Center for Atmospheric Research (NCAR). Model runs produced at the University of Hawaii by Yi-Leng Chen.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Tair (air temperature at 2m, Celsius)
Uwind (u-wind component at 10m, meter second-1)
Vwind (v-wind component at 10m, meter second-1)
rain (rainfall rate, kilogram meter-2 second-1)
Qair (surface air relative humidity, %)
Pair (surface air pressure, millibar)
lwrad_down (net longwave radiation flux, Watts meter-2)
swrad (solar shortwave radiation flux, Watts meter-2)


Weather Research and Forecasting (WRF) Regional Atmospheric Model: Main Hawaiian Islands

Summary:
Weather Research and Forecasting (WRF) mesoscale numerical weather prediction model 7-day hourly forecast for the region surrounding the Main Hawaiian Islands (MHI) at approximately 6-km resolution. Uses the Advanced Research WRF (ARW) dynamical solver developed and maintained by the Mesoscale and Microscale Meteorology Division of the National Center for Atmospheric Research (NCAR). Model runs produced at the University of Hawaii by Yi-Leng Chen.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Tair (air temperature at 2m, Celsius)
Uwind (u-wind component at 10m, meter second-1)
Vwind (v-wind component at 10m, meter second-1)
rain (rainfall rate, kilogram meter-2 second-1)
Qair (surface air relative humidity, %)
Pair (surface air pressure, millibar)
lwrad_down (net longwave radiation flux, Watts meter-2)
swrad (solar shortwave radiation flux, Watts meter-2)


Weather Research and Forecasting (WRF) Regional Atmospheric Model: Maui-Oahu

Summary:
Weather Research and Forecasting (WRF) mesoscale numerical weather prediction model 7-day hourly forecast for the region surrounding the Hawaiian islands of Oahu, Maui, Molokai, Lanai, and Kahoolawe at approximately 2-km resolution. Uses the Advanced Research WRF (ARW) dynamical solver developed and maintained by the Mesoscale and Microscale Meteorology Division of the National Center for Atmospheric Research (NCAR). Model runs produced at the University of Hawaii by Yi-Leng Chen.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Tair (air temperature at 2m, Celsius)
Uwind (u-wind component at 10m, meter second-1)
Vwind (v-wind component at 10m, meter second-1)
rain (rainfall rate, kilogram meter-2 second-1)
Qair (surface air relative humidity, %)
Pair (surface air pressure, millibar)
lwrad_down (net longwave radiation flux, Watts meter-2)
swrad (solar shortwave radiation flux, Watts meter-2)


Weather Research and Forecasting (WRF) Regional Atmospheric Model: Oahu

Summary:
Weather Research and Forecasting (WRF) mesoscale numerical weather prediction model 3.5-day hourly forecast for the region surrounding the Hawaiian island of Oahu at approximately 1.5-km resolution. Uses the Advanced Research WRF (ARW) dynamical solver developed and maintained by the Mesoscale and Microscale Meteorology Division of the National Center for Atmospheric Research (NCAR). Model runs produced at the University of Hawaii by Yi-Leng Chen.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Tair (air temperature at 2m, Celsius)
Uwind (u-wind component at 10m, meter second-1)
Vwind (v-wind component at 10m, meter second-1)
rain (rainfall rate, kilogram meter-2 second-1)
Qair (surface air relative humidity, %)
Pair (surface air pressure, millibar)
lwrad_down (net longwave radiation flux, Watts meter-2)
swrad (solar shortwave radiation flux, Watts meter-2)


Weather Research and Forecasting (WRF) Regional Atmospheric Model: Samoa

Summary:
Weather Research and Forecasting (WRF) mesoscale numerical weather prediction model 7-day hourly forecast for the region surrounding the islands of Samoa at approximately 3-km resolution. Uses the Advanced Research WRF (ARW) dynamical solver developed and maintained by the Mesoscale and Microscale Meteorology Division of the National Center for Atmospheric Research (NCAR). Model runs produced at the University of Hawaii by Yi-Leng Chen.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Tair (air temperature at 2m, Celsius)
Uwind (u-wind component at 10m, meter second-1)
Vwind (v-wind component at 10m, meter second-1)
rain (rainfall rate, kilogram meter-2 second-1)
Qair (surface air relative humidity, %)
Pair (surface air pressure, millibar)
lwrad_down (net longwave radiation flux, Watts meter-2)
swrad (solar shortwave radiation flux, Watts meter-2)