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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)

1 files · 17 KB · netcdf

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)

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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)

1 files · 17 KB · netcdf

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)

1 files · 17 KB · netcdf

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)

1 files · 18 KB · netcdf

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) ulwrfsfc (surface upwelling longwave radiation flux, W m-2) uswrfsfc (surface upwelling shortwave radiation flux, W m-2)

1 files · 18 KB · netcdf

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 downwelling longwave radiation flux, W m-2) dswrfsfc (surface downwelling shortwave radiation flux, W m-2) ulwrfsfc (surface upwelling longwave radiation flux, W m-2) uswrfsfc (surface upwelling shortwave radiation flux, W m-2)

1 files · 18 KB · netcdf

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) ulwrfsfc (surface upwelling longwave radiation flux, W m-2) uswrfsfc (surface upwelling shortwave radiation flux, W m-2)

1 files · 18 KB · netcdf

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 downwelling longwave radiation flux, W m-2) dswrfsfc (surface downwelling shortwave radiation flux, W m-2) ulwrfsfc (surface upwelling longwave radiation flux, W m-2) uswrfsfc (surface upwelling shortwave radiation flux, W m-2)

1 files · 18 KB · netcdf

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)

1 files · 18 KB · netcdf

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)

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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)

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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)

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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)

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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)

1 files · 18 KB · netcdf

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)

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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)

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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)

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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)