San Pedro Bay (P050) Bathymetric Digital Elevation Model (san pedro bay P050 2018), 9.259259E-5°

San Pedro Bay (P050) Bathymetric Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)


Sand Point, Alaska MHW Coastal Digital Elevation Model (sand point 13 mhw 2012), 9.259259E-5°

Sand Point, Alaska MHW Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

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

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/getReport/3549; Sand Point, AK 1/3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Sand Point, Alaska Tsunami Forecast Grids for MOST Model (SandPointAK A)

Sand Point, Alaska Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

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

NOAA OAR PMEL Center for Tsunami Research


Sand Point, Alaska Tsunami Forecast Grids for MOST Model (SandPointAK B), 0.005°


Sand Point, Alaska Tsunami Forecast Grids for MOST Model (SandPointAK C)


Santa Barbara, California Coastal Digital Elevation Model (santa barbara 13 mhw 2008), 9.259259E-5°

Santa Barbara, California Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/603; Santa Barbara, CA 1/3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Santa Barbara, California Tsunami Forecast Grids for MOST Model (SantaBarbaraCA A), 0.016666668°

Santa Barbara, California Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

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


Santa Barbara, California Tsunami Forecast Grids for MOST Model (SantaBarbaraCA B), 0.0033333334°


Santa Barbara, California Tsunami Forecast Grids for MOST Model (SantaBarbaraCA C), 3.3333333E-4°


Santa Monica Bay (P060) Bathymetric Digital Elevation Model (santa monica bay P060 2018), 9.259259E-5°

Santa Monica Bay (P060) Bathymetric Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)


Santa Monica, California Coastal Digital Elevation Model (santa monica 13 mhw 2010), 9.259259E-5°

Santa Monica, California Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/663; Santa Monica, CA 1/3 arc-second MHW Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Santa Monica, California Coastal Digital Elevation Model (santa monica 13 navd88 2010), 9.259259E-5°

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/726; Santa Monica, CA 1/3 arc-second NAVD 88 Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Santa Monica, California Tsunami Forecast Grids for MOST Model (SantaMonicaCA A)

Santa Monica, California Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

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

NOAA OAR PMEL Center for Tsunami Research


Santa Monica, California Tsunami Forecast Grids for MOST Model (SantaMonicaCA B), 0.0033333334°


Santa Monica, California Tsunami Forecast Grids for MOST Model (SantaMonicaCA C), 5.5555557E-4°


National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
Band1 (GDAL Band Number 1)


Sarasota Bay (G060) Bathymetric Digital Elevation Model (sarasota bay G060 2017), 9.259259E-5°

Sarasota Bay (G060) Bathymetric Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)


Savannah, Georgia Coastal Digital Elevation Model (savannah 13 mhw 2006), 9.259259E-5°

Savannah, Georgia Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/303; Savannah, GA 1/3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Savannah, Georgia Tsunami Forecast Grids for MOST Model (SavannahGA A)

Savannah, Georgia Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

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


Savannah, Georgia Tsunami Forecast Grids for MOST Model (SavannahGA B)


Savannah, Georgia Tsunami Forecast Grids for MOST Model (SavannahGA C)


Sea Surface Height, Absolute, Aviso, 0.25 degrees, Global, 1992-2010, Science Quality (Monthly Composite)

Aviso Absolute Sea Surface Height is the Sea Surface Height Deviation plus the long term mean dynamic height. This is Science Quality data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
ssh (Absolute Sea Surface Height, m)
sshd (Sea Surface Height Deviation, m)


Sea Surface Height, Absolute, Aviso, 0.25 degrees, Global, 1992-2010, Science Quality (Monthly Composite), Lon+/-180


Sea Surface Height, Absolute, Aviso, 0.25 degrees, Global, 1992-2012, Science Quality (1 Day Composite)


Sea Surface Height, Absolute, Aviso, 0.25 degrees, Global, 1992-2012, Science Quality (1 Day Composite), Lon+/-180


Seaside, Oregon Tsunami Forecast Grids for MOST Model (SeasideOR A), 0.02°

Seaside, Oregon Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

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

NOAA OAR PMEL Center for Tsunami Research


Seaside, Oregon Tsunami Forecast Grids for MOST Model (SeasideOR B), 0.0033333334°


Seaside, Oregon Tsunami Forecast Grids for MOST Model (SeasideOR C), 3.72E-4°


Seward, Alaska 1 sec Coastal Digital Elevation Model (seward 1 mhw 2002), 2.4700412E-4°

Seward, Alaska 1 sec Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)


Seward, Alaska 1/3 sec Coastal Digital Elevation Model (seward 13 mhw 2002), 9.2595896E-5°

Seward, Alaska 1/3 sec Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)


Seward, Alaska 3 sec Coastal Digital Elevation Model (seward 3 mhw 2002), 7.4075756E-4°

Seward, Alaska 3 sec Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)


Seward, Alaska 8 sec Coastal Digital Elevation Model (seward 8 mhw 2002), 0.0022222062°

Seward, Alaska 8 sec Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)


Seward, Alaska Tsunami Forecast Grids for MOST Model (SewardAK A), 0.033333335°

Seward, Alaska Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

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


Seward, Alaska Tsunami Forecast Grids for MOST Model (SewardAK B), 0.0025°


Seward, Alaska Tsunami Forecast Grids for MOST Model (SewardAK C), 8.3333335E-4°


sfcr.sfc.mon.1981-2010.ltm (NCEP-NCAR Reanalysis 1), 0001

National Centers for Environmental Prediction (NCEP)-National Center for Atmospheric Research (NCAR) Reanalysis 1. Data is from NCEP initialized reanalysis
(4x/day).  It consists of T42  variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sfcr (Monthly Long Term Mean Surface Roughness, m)
valid_yr_count (count of non-missing values used in mean)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (sflx.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads/2degree/LTMs1950-1979/sflx.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sflx (Sensible Heat Parameter Monthly Long Term Mean at Surface, degC m/s)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (sflx.ltm). NOAA PSL data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads2.5/2degree/enh/LTMs1950-1979/sflx.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sflx (Sensible Heat Parameter Monthly Long Term Mean at Surface, degC m/s)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (sflx.ltm). NOAA PSL data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads2.5/2degree/LTMs1950-1979/sflx.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sflx (Sensible Heat Parameter Monthly Long Term Mean at Surface, degC m/s)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (sflx.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads/2degree/enh/LTMs1950-1979/sflx.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sflx (Sensible Heat Parameter Monthly Long Term Mean at Surface, degC m/s)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (sflx.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/coads/2degree/LTMs1950-1979/sflx.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sflx (Sensible Heat Parameter Monthly Long Term Mean at Surface, degC m/s)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (sflx.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/coads/2degree/enh/LTMs1950-1979/sflx.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sflx (Sensible Heat Parameter Monthly Long Term Mean at Surface, degC m/s)


National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
Band1 (GDAL Band Number 1)


Shemya Alaska Tsunami Forecast Grids for MOST Model (ShemyaAK A)

Shemya Alaska Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

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

NOAA OAR PMEL Center for Tsunami Research


Shemya Alaska Tsunami Forecast Grids for MOST Model (ShemyaAK B)


Shemya Alaska Tsunami Forecast Grids for MOST Model (ShemyaAK C)


Shemya, Alaska Coastal Digital Elevation Model (shemya 1 mhw 2009), 2.7777778E-4°

Shemya, Alaska Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/632; Shemya, AK 1 arc-second Tsunami Inundation DEM Tsunami; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Ship Allure of the Seas Underway Data (ALoS.ship), 2016-2021

Ship Allure of the Seas Underway Data. Underway ship data provided by OCED/Atlantic Oceanographic & Meteorological Laboratory (AOML). Only location and time are provided.

cdm_data_type = Point
VARIABLES (all of which use the dimensions [time]):
lat (Latitude, degrees_north)
lon (Longitude, degrees_east)


Ship Celebrity Flora Underway Data (Flora.ship), 2019-2020

Ship Celebrity Flora Underway Data. Underway ship data provided by OCED/Atlantic Oceanographic & Meteorological Laboratory (AOML). Only location and time are provided.

cdm_data_type = Point
VARIABLES (all of which use the dimensions [time]):
lat (Latitude, degrees_north)
lon (Longitude, degrees_east)


Ship Equinox Underway Data (EQNX.ship), 2016-2020

Ship Equinox Underway Data. Underway ship data provided by OCED/Atlantic Oceanographic & Meteorological Laboratory (AOML). Only location and time are provided.

cdm_data_type = Point
VARIABLES (all of which use the dimensions [time]):
lat (Latitude, degrees_north)
lon (Longitude, degrees_east)


Ship MV Skogafoss Underway Data (Sko.ship), 2015-2017

Ship MV Skogafoss Underway Data. Underway ship data provided by OCED/Atlantic Oceanographic & Meteorological Laboratory (AOML). Only location and time are provided.

cdm_data_type = Point
VARIABLES (all of which use the dimensions [time]):
lat (Latitude, degrees_north)
lon (Longitude, degrees_east)


Ship RV Gordon Gunter Underway Data (Gunter.ship), 2016-present

Ship RV Gordon Gunter Underway Data. Underway ship data provided by OCED/Atlantic Oceanographic & Meteorological Laboratory (AOML). Only location and time are provided.

cdm_data_type = Point
VARIABLES (all of which use the dimensions [time]):
lat (Latitude, degrees_north)
lon (Longitude, degrees_east)


Ship RV Henry Bigelow Underway Data (HBig.ship), 2016-present

Ship RV Henry Bigelow Underway Data. Underway ship data provided by OCED/Atlantic Oceanographic & Meteorological Laboratory (AOML). Only location and time are provided.

cdm_data_type = Point
VARIABLES (all of which use the dimensions [time]):
lat (Latitude, degrees_north)
lon (Longitude, degrees_east)


Ship RV Ronald Brown Underway Data (RBrown.ship), 2015-present

Ship RV Ronald Brown Underway Data. Underway ship data provided by OCED/Atlantic Oceanographic & Meteorological Laboratory (AOML). Only location and time are provided.

cdm_data_type = Point
VARIABLES (all of which use the dimensions [time]):
lat (Latitude, degrees_north)
lon (Longitude, degrees_east)


Ship RV Walton Smith Underway Data (WSmith.ship), 2016-2021

Ship RV Walton Smith Underway Data. Underway ship data provided by OCED/Atlantic Oceanographic & Meteorological Laboratory (AOML). Only location and time are provided.

cdm_data_type = Point
VARIABLES (all of which use the dimensions [time]):
lat (Latitude, degrees_north)
lon (Longitude, degrees_east)


shtfl.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR (shtfl.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/shtfl.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
shtfl (Long Term Monthly Mean Sensible Heat Flux at Surface, W/m^2)


Monthly NARR (shtfl.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/shtfl.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


shtfl.sfc.mon.1981-2010.ltm (4x daily NMC reanalysis), 0001

4x daily National Meteorological Center (NMC) reanalysis. Data is from NMC initialized reanalysis
(4x/day).  It consists of T42  variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
shtfl (Monthly Long Term Mean of Sensible Heat Net Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


shum.2m.mon.1981-2010.ltm (monthly mean u wind), 0001

monthly mean u wind. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
shum (Monthly Long Term Mean of Specific Humidity, grams/kg)
valid_yr_count (count of non-missing values used in mean)


shum.2m.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR (shum.2m.mon.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
shum (Long Term Monthly Mean Specific Humidity at 2m, kg/kg)


Monthly NARR (shum.2m.mon.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


shum.day.ltm (Daily NARR) [time][level][y][x], 0001

Daily NARR. Data is from North American Regional Reanalysis
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][y][x]):
shum (Daily Long Term Mean Specific Humidity on Pressure Levels, kg/kg)


Daily NARR. Data is from North American Regional Reanalysis
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (shum.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/coads/2degree/LTMs1950-1979/shum.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
shum (Specific Humidity Monthly Long Term Mean at Surface, grams/kg)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (shum.ltm). NOAA PSL data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads2.5/2degree/enh/LTMs1950-1979/shum.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
shum (Specific Humidity Monthly Long Term Mean at Surface, grams/kg)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (shum.ltm). NOAA PSL data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads2.5/2degree/LTMs1950-1979/shum.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
shum (Specific Humidity Monthly Long Term Mean at Surface, grams/kg)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (shum.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/coads/2degree/enh/LTMs1950-1979/shum.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
shum (Specific Humidity Monthly Long Term Mean at Surface, grams/kg)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (shum.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads/2degree/LTMs1950-1979/shum.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
shum (Specific Humidity Monthly Long Term Mean at Surface, grams/kg)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (shum.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads/2degree/enh/LTMs1950-1979/shum.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
shum (Specific Humidity Monthly Long Term Mean at Surface, grams/kg)


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

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)

Pacific Islands Ocean Observing System (PacIOOS)


Simulating WAves Nearshore (SWAN) Regional Wave Model: Guam

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

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

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: Manua, American Samoa

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: Maui

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: Oahu

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: Rota, CNMI

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

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)

Pacific Islands Ocean Observing System (PacIOOS)


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

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)


Sitka, Alaska Coastal Digital Elevation Model (sitka 13 mhw 2011), 9.259259E-5°

Sitka, Alaska Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/getReport/1844; Sitka, AK 1/3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Sitka, Alaska Coastal Digital Elevation Model (sitka 3 mhw 2011), 8.3333335E-4°

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/getReport/1981; Sitka, AK 3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Sitka, Alaska Tsunami Forecast Grids for MOST Model (SitkaAK A)

Sitka, Alaska Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

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

NOAA OAR PMEL Center for Tsunami Research


Sitka, Alaska Tsunami Forecast Grids for MOST Model (SitkaAK B)


Sitka, Alaska Tsunami Forecast Grids for MOST Model (SitkaAK C)


skt.sfc.gauss.day.ltm.1981-2010 (Daily NCEP/DOE Reanalysis 2), 0001

Daily National Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Reanalysis 2. Data is from
NCEP/DOE Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)
(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
skt (Daily Long Term Mean Forecast of SST/Land Skin Temperature at the Surface, degree_C)
valid_yr_count (count of non-missing values used in mean)


skt.sfc.mon.1981-2010.ltm (4x daily NMC reanalysis), 0001

4x daily National Meteorological Center (NMC) reanalysis. Data is from NMC initialized reanalysis
(4x/day).  It consists of T42  variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
skt (Monthly Long Term Mean of Skin Temperature, degree_C)
valid_yr_count (count of non-missing values used in mean)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (slp.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/coads/2degree/LTMs1950-1979/slp.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
slp (Sea Level Pressure Monthly Long Term Mean at Surface, millibars)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (slp.ltm). NOAA PSL data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads2.5/2degree/LTMs1950-1979/slp.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
slp (Sea Level Pressure Monthly Long Term Mean at Surface, millibars)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (slp.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads/2degree/enh/LTMs1950-1979/slp.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
slp (Sea Level Pressure Monthly Long Term Mean at Surface, millibars)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (slp.ltm). NOAA PSL data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads2.5/2degree/enh/LTMs1950-1979/slp.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
slp (Sea Level Pressure Monthly Long Term Mean at Surface, millibars)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (slp.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads/2degree/LTMs1950-1979/slp.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
slp (Sea Level Pressure Monthly Long Term Mean at Surface, millibars)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (slp.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/coads/2degree/enh/LTMs1950-1979/slp.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
slp (Sea Level Pressure Monthly Long Term Mean at Surface, millibars)


snohf.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR (snohf.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/snohf.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
snohf (Long Term Monthly Mean Snow Phase-change Heat at Surface, W/m^2)


Monthly NARR (snohf.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/snohf.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


snowc.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR (snowc.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/snowc.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
snowc (Long Term Monthly Mean Snow Cover at Surface, 1)


Monthly NARR (snowc.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/snowc.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


society islands 3 isl 2016 (GDAL Band Number 1), 8.3333335E-4°

GDAL Band Number 1. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1)


society islands leeward 1 isl 2016 (GDAL Band Number 1), 2.7777778E-4°


society islands windward 1 isl 2016 (GDAL Band Number 1), 2.7777778E-4°


SODA - POP 2.2.4 Monthly Means, 1871-2010 (At Depths)

Simple Ocean Data Assimilation (SODA) version 2.2.4 - A reanalysis of ocean
climate. SODA uses the GFDL modular ocean model version 2.2. The model is
forced by observed surface wind stresses from the COADS data set (from 1958
to 1992) and from NCEP (after 1992). Note that the wind stresses were
detrended before use due to inconsistencies with observed sea level pressure
trends. The model is also constrained by constant assimilation of observed
temperatures, salinities, and altimetry using an optimal data assimilation
technique. The observed data comes from: 1) The World Ocean Atlas 1994 which
contains ocean temperatures and salinities from mechanical
bathythermographs, expendable bathythermographs and conductivity-temperature-
depth probes. 2) The expendable bathythermograph archive 3) The TOGA-TAO
thermistor array 4) The Soviet SECTIONS tropical program 5) Satellite
altimetry from Geosat, ERS/1 and TOPEX/Poseidon.
We are now exploring an eddy-permitting reanalysis based on the Parallel
Ocean Program POP-1.4 model with 40 levels in the vertical and a 0.4x0.25
degree displaced pole grid (25 km resolution in the western North
Atlantic).  The first version of this we will release is SODA1.2, a
reanalysis driven by ERA-40 winds covering the period 1958-2001 (extended to
the current year using available altimetry).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temp (Sea Water Temperature, degree_C)
salt (Sea Water Practical Salinity, PSU)
u (Eastward Sea Water Velocity, m s-1)
v (Northward Sea Water Velocity, m s-1)
w (Upward Sea Water Velocity, m s-1)


SODA - POP 2.2.4 Monthly Means, 1871-2010 (At Depths), Lon+/-180


SODA - POP 2.2.4 Monthly Means, 1871-2010 (At Surface)

Simple Ocean Data Assimilation (SODA) version 2.2.4 - A reanalysis of ocean
climate. SODA uses the GFDL modular ocean model version 2.2. The model is
forced by observed surface wind stresses from the COADS data set (from 1958
to 1992) and from NCEP (after 1992). Note that the wind stresses were
detrended before use due to inconsistencies with observed sea level pressure
trends. The model is also constrained by constant assimilation of observed
temperatures, salinities, and altimetry using an optimal data assimilation
technique. The observed data comes from: 1) The World Ocean Atlas 1994 which
contains ocean temperatures and salinities from mechanical
bathythermographs, expendable bathythermographs and conductivity-temperature-
depth probes. 2) The expendable bathythermograph archive 3) The TOGA-TAO
thermistor array 4) The Soviet SECTIONS tropical program 5) Satellite
altimetry from Geosat, ERS/1 and TOPEX/Poseidon.
We are now exploring an eddy-permitting reanalysis based on the Parallel
Ocean Program POP-1.4 model with 40 levels in the vertical and a 0.4x0.25
degree displaced pole grid (25 km resolution in the western North
Atlantic).  The first version of this we will release is SODA1.2, a
reanalysis driven by ERA-40 winds covering the period 1958-2001 (extended to
the current year using available altimetry).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
ssh (Sea Level, m)


SODA - POP 2.2.4 Monthly Means, 1871-2010 (At Surface), Lon+/-180


SODA 3.3.1 Ocean State, 1/2°, Global, 1980-2015, Monthly Composite

SODA3.3.1 ocean state, forced by MERRA2. The goal of SODA is to reconstruct the historical physical (and eventually biogeochemical) history of the ocean. As its name implies, the Simple Ocean Data Assimilation ocean/sea ice reanalysis (SODA) uses a simple architecture based on community standard codes with resolution chosen to match available data and the scales of motion that are resolvable. Agreement with direct measurements (to within observational error estimates) as well as unbiased statistics are expected. Please cite: Carton, Chepurin, and Chen (2017).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temp (Potential temperature, degrees C)
salt (Practical Salinity, PSU)
wt (dia-surface velocity T-points, m/sec)
prho (potential density referenced to 0 dbar, kg/m^3)
u (i-current, m/sec)
v (j-current, m/sec)


SODA 3.3.1 Ocean State, 1/2°, Global, 1980-2015, Monthly Composite, Lon+/-180


SODA 3.3.1 Sea Ice Concentration, 1/2°, Global, 1980-2015, Monthly Composite

SODA3.3.1 ice state, forced by MERRA2. The goal of SODA is to reconstruct the historical physical (and eventually biogeochemical) history of the ocean. As its name implies, the Simple Ocean Data Assimilation ocean/sea ice reanalysis (SODA) uses a simple architecture based on community standard codes with resolution chosen to match available data and the scales of motion that are resolvable. Agreement with direct measurements (to within observational error estimates) as well as unbiased statistics are expected. Please cite: Carton, Chepurin, and Chen (2017).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
cn (Sea Ice Concentration, 0-1)


SODA 3.3.1 Sea Ice Concentration, 1/2°, Global, 1980-2015, Monthly Composite, Lon+/-180


soilm.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR (soilm.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/soilm.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
soilm (Long Term Monthly Mean Soil Moisture Content, kg/m^2)


Monthly NARR (soilm.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/soilm.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


soilw.0-10cm.4Xday.1981-2010.ltm (4x daily NMC reanalysis (1981)), 0001

4x daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
soilw (Long Term Mean 4xDaily Volumetric Soil Moisture between 0-10 cm Below Ground Level, fraction)
valid_yr_count (count of non-missing values used in mean)


soilw.0-10cm.mon.1981-2010.ltm (4x daily NMC reanalysis), 0001

4x daily National Meteorological Center (NMC) reanalysis. Data is from NMC initialized reanalysis
(4x/day).  It consists of T42  variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
soilw (Long Term Mean Monthly Mean of Volumetric Soil Moisture, fraction)
valid_yr_count (count of non-missing values used in mean)


4x daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
soilw (Long Term Mean 4xDaily Volumetric Soil Moisture between 10-200 cm Below Ground Level, fraction)
valid_yr_count (count of non-missing values used in mean)


soilw.10-200cm.mon.1981-2010.ltm (4x daily NMC reanalysis), 0001

4x daily National Meteorological Center (NMC) reanalysis. Data is from NMC initialized reanalysis
(4x/day).  It consists of T42  variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
soilw (Monthly Long Term Mean of Volumetric Soil Moisture, fraction)
valid_yr_count (count of non-missing values used in mean)


soilw.mon.1981-2010.ltm.v2 (CPC Soil Moisture), 0.5°, 0001

Climate Prediction Center (CPC) Soil Moisture (soilw.mon.1981-2010.ltm.v2)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
soilw (Long Term Mean Model-Calculated Monthly Mean Soil Moisture, mm)
valid_yr_count (count of non-missing values used in mean)


soilw.mon.1991-2020.ltm.v2 (CPC Soil Moisture), 0.5°, 0001

Climate Prediction Center (CPC) Soil Moisture (soilw.mon.1991-2020.ltm.v2)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
soilw (Model-Calculated Long Term Monthly Mean Soil Moisture, mm)
valid_yr_count (count of non-missing values used in mean)


South Padre Island, Texas Coastal Digital Elevation Model (south padre island 13 mhw 2012), 9.259259E-5°

South Padre Island, Texas Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/3984; South Padre Island, TX 1/3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


South Padre Island, Texas Coastal Digital Elevation Model (south padre island 13 navd88 2012), 9.259259E-5°

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/3983; South Padre Island, TX 1/3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Southeast Alaska Coastal Digital Elevation Model (southeast alaska 8 mhhw 2010), 0.0022222223°

Southeast Alaska Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/575; Southeast Alaska, AK 8 arc-second MHHW DEM; Download page for accessing DEM, metadata record and development report.; download


southern florida F010 2018 (GDAL Band Number 1), 9.259259E-5°

GDAL Band Number 1. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
z (GDAL Band Number 1)


southern louisiana 13 navd88 2010 (Southern Louisiana NAVD 88), 9.259259E-5°

Southern Louisiana NAVD 88. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

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


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

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

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)


SRTM15_PLUS Estimated Topography, 15 seconds, Global, v1

One GMT file, topo15.grd, with the entire global topography. The grid resolution is 15 seconds which is roughly 0.27km at the equator. The data are pixel registered.

Land data are based on the 1-km averages of topography derived from the USGS SRTM30 grided DEM data product created with data from the NASA Shuttle Radar Topography Mission (https://www2.jpl.nasa.gov/srtm/). GTOPO30 data (http://www1.gsi.go.jp/geowww/globalmap-gsi/gtopo30/gtopo30.html) are used for high latitudes where SRTM data are not available.

Ocean data are based on the Smith and Sandwell global 1-minute grid (https://topex.ucsd.edu/WWW_html/mar_topo.html) between latitudes +/-81 degrees. Higher resolution grids have been added from the LDEO Ridge Multibeam Synthesis Project ( https://www.gmrt.org/ ), the JAMSTEC Data Site for Research Cruises (https://www.godac.jamstec.go.jp/darwin/e), and the NGDC Coastal Relief Model (https://www.ngdc.noaa.gov/mgg/coastal/coastal.html). Arctic bathymetry is from the International Bathymetric Chart of the Oceans (IBCAO) (https://www.ngdc.noaa.gov/mgg/bathymetry/arctic/arctic.html) [Jakobsson et al., 2003].

Matching files of source identification number are available for determining the data source for every pixel.

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


SRTM15_PLUS Estimated Topography, 15 seconds, Global, v1, Lon0360


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

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: Bathymetry, Lon0360


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

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)


SRTM30+ Global 1-km Digital Elevation Model (DEM): Version 11: Land Surface, Lon0360


SRTM30_PLUS Estimated Topography, 30 seconds, Global, v11

One GMT file, topo30.grd, with the entire global topography. The grid resolution is 30 seconds which is roughly 0.55km at the equator.  The data are pixel registered.

Land data are based on the 1-km averages of topography derived from the USGS SRTM30 grided DEM data product created with data from the NASA Shuttle Radar Topography Mission (https://www2.jpl.nasa.gov/srtm/). GTOPO30 data (http://www1.gsi.go.jp/geowww/globalmap-gsi/gtopo30/gtopo30.html) are used for high latitudes where SRTM data are not available.

Ocean data are based on the Smith and Sandwell global 1-minute grid (https://topex.ucsd.edu/WWW_html/mar_topo.html) between latitudes +/-81 degrees. Higher resolution grids have been added from the LDEO Ridge Multibeam Synthesis Project ( https://www.gmrt.org/ ), the JAMSTEC Data Site for Research Cruises (https://www.godac.jamstec.go.jp/darwin/e), and the NGDC Coastal Relief Model (https://www.ngdc.noaa.gov/mgg/coastal/coastal.html). Arctic bathymetry is from the International Bathymetric Chart of the Oceans (IBCAO) (https://www.ngdc.noaa.gov/mgg/bathymetry/arctic/arctic.html) [Jakobsson et al., 2003].

Matching files of source identification number are available for determining the data source for every pixel.

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


SRTM30_PLUS Estimated Topography, 30 seconds, Global, v11, Lon+/-180


ssrun.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR (ssrun.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/ssrun.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
ssrun (Long Term Monthly Mean Surface Runoff (non-infiltrating), kg/m^2)


Monthly NARR (ssrun.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/ssrun.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


SST and SST Anomaly, NOAA Global Coral Bleaching Monitoring, 5km, V.3.1, Monthly, 1985-Present

This is a product of NOAA Coral Reef Watch Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite, derived from CoralTemp v1.0.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (analysed sea surface temperature, degree_C)
mask (Pixel characteristics flag array, pixel_classification)
sea_surface_temperature_anomaly (degree_C)

NOAA/NESDIS/STAR Coral Reef Watch program


SST and SST Anomaly, NOAA Global Coral Bleaching Monitoring, 5km, V.3.1, Monthly, 1985-Present, Lon0360


Sea Surface Temperature (SST) Advanced Very High Resolution Radiometer (AVHRR). NOAA National Environmental Satellite, Data, and Information Service (NESDIS) CoastWatch Caribbean and Gulf of Mexico (CWCGOM), NOAA Atlantic Oceanographic & Meteorological Laboratory (AOML) data from https://cwcgom.aoml.noaa.gov/thredds/dodsC/AVHRRSST/SST.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (sea surface temperature, degree_C)


Sea Surface Temperature (SST) Geostationary Operational Environmental Satellite (GOES). NOAA National Environmental Satellite, Data, and Information Service (NESDIS) CoastWatch Caribbean and Gulf of Mexico (CWCGOM), NOAA Atlantic Oceanographic & Meteorological Laboratory (AOML) data from https://cwcgom.aoml.noaa.gov/thredds/dodsC/GOESSST/SST.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (sea surface temperature, degree_C)


An improved automatic detection of mesoscale fronts, derived from Cayula, J. F., & Cornillon, P. (1992) and Cayula, J. F., & Cornillon, P. (1995), using the new method described by Nieto et al. (2012)

Nieto, Karen, Demarcq, H. and McClatchie, S. "Mesoscale frontal structures in the Canary Upwelling System: new front and filament detection algorithms applied to spatial and temporal patterns". Remote Sensing of the Environment 123, 2012 (pp.339-346)"

Cayula, J. F., & Cornillon, P. (1992). Edge detection algorithm for SST images. Journal of Atmospheric and Oceanic Technology, 9, 67-80.

Cayula, J. F., & Cornillon, P. (1995). Multi-image edge detection for SST images. Journal of Atmospheric and Oceanic Technology, 12, 821-829.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SSTgrad (SST Edge-Gradient monthly, degrees C / km)


SST, Aqua MODIS, NPP, 0.0125°, West US, Day time (11 microns), 2002-present (1 Day Composite)

NOAA CoastWatch provides SST data from NASA's Aqua Spacecraft.  Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sst (Sea Surface Temperature, degree_C)


SST, Aqua MODIS, NPP, 0.0125°, West US, Day time (11 microns), 2002-present (1 Day Composite), Lon+/-180


SST, Aqua MODIS, NPP, 0.0125°, West US, Day time (11 microns), 2002-present (14 Day Composite)


SST, Aqua MODIS, NPP, 0.0125°, West US, Day time (11 microns), 2002-present (14 Day Composite), Lon+/-180


SST, Aqua MODIS, NPP, 0.0125°, West US, Day time (11 microns), 2002-present (3 Day Composite)


SST, Aqua MODIS, NPP, 0.0125°, West US, Day time (11 microns), 2002-present (3 Day Composite), Lon+/-180


SST, Aqua MODIS, NPP, 0.0125°, West US, Day time (11 microns), 2002-present (8 Day Composite)


SST, Aqua MODIS, NPP, 0.0125°, West US, Day time (11 microns), 2002-present (8 Day Composite), Lon+/-180


SST, Aqua MODIS, NPP, 0.0125°, West US, Day time (11 microns), 2002-present (Monthly Composite)


SST, Aqua MODIS, NPP, 0.0125°, West US, Day time (11 microns), 2002-present (Monthly Composite), Lon+/-180


SST, Aqua MODIS, NPP, 0.025 degrees, Pacific Ocean, Daytime, 2006-present (1 Day Composite)

NOAA CoastWatch provides SST data from NASA's Aqua Spacecraft.  Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft.  Currently, only daytime imagery is supported.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sst (Sea Surface Temperature, degree_C)


SST, Aqua MODIS, NPP, 0.025 degrees, Pacific Ocean, Daytime, 2006-present (1 Day Composite), degree_F

NOAA CoastWatch provides SST data from NASA's Aqua Spacecraft.  Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft.  Currently, only daytime imagery is supported.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sst (Sea Surface Temperature, degree_F)


SST, Aqua MODIS, NPP, 0.025 degrees, Pacific Ocean, Daytime, 2006-present (1 Day Composite), degree_F, Lon+/-180


SST, Aqua MODIS, NPP, 0.025 degrees, Pacific Ocean, Daytime, 2006-present (1 Day Composite), Lon+/-180


SST, Aqua MODIS, NPP, 0.025 degrees, Pacific Ocean, Daytime, 2006-present (14 Day Composite)


SST, Aqua MODIS, NPP, 0.025 degrees, Pacific Ocean, Daytime, 2006-present (14 Day Composite), Lon+/-180


SST, Aqua MODIS, NPP, 0.025 degrees, Pacific Ocean, Daytime, 2006-present (3 Day Composite)


SST, Aqua MODIS, NPP, 0.025 degrees, Pacific Ocean, Daytime, 2006-present (3 Day Composite), Lon+/-180


SST, Aqua MODIS, NPP, 0.025 degrees, Pacific Ocean, Daytime, 2006-present (5 Day Composite)


SST, Aqua MODIS, NPP, 0.025 degrees, Pacific Ocean, Daytime, 2006-present (5 Day Composite), Lon+/-180


SST, Aqua MODIS, NPP, 0.025 degrees, Pacific Ocean, Daytime, 2006-present (8 Day Composite)


SST, Aqua MODIS, NPP, 0.025 degrees, Pacific Ocean, Daytime, 2006-present (8 Day Composite), degree_F


SST, Aqua MODIS, NPP, 0.025 degrees, Pacific Ocean, Daytime, 2006-present (8 Day Composite), degree_F, Lon+/-180


SST, Aqua MODIS, NPP, 0.025 degrees, Pacific Ocean, Daytime, 2006-present (8 Day Composite), Lon+/-180


SST, Aqua MODIS, NPP, 0.025 degrees, Pacific Ocean, Daytime, 2006-present (Monthly Composite)


SST, Aqua MODIS, NPP, 0.025 degrees, Pacific Ocean, Daytime, 2006-present (Monthly Composite), Lon+/-180

NOAA CoastWatch provides SST data from NASA's Aqua Spacecraft.  Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft.  Currently, only daytime imagery is supported.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sst (Sea Surface Temperature, degree_C)


SST, Aqua MODIS, NPP, 4km, Daytime (11 microns), 2003-2019 (1 Day Composite), DEPRECATED

DEPRECATED. See the newer version of this dataset: erdMH1sstd1dayR20190.

NOAA CoastWatch provides (mask-applied) global, 11km, Level 3, Standard Mapped Image (SMI), 4km, daytime SST data from NASA's Aqua Spacecraft. This is 1-day composite data. Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft. This is Science Quality data.  This is the August 2015 version of this dataset.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (Masked Daytime Sea Surface Temperature, degree_C)


SST, Aqua MODIS, NPP, 4km, Daytime (11 microns), 2003-2019 (1 Day Composite), DEPRECATED, Lon0360


SST, Aqua MODIS, NPP, 4km, Daytime (11 microns), 2003-2019 (8 Day Composite), DEPRECATED

DEPRECATED. See the newer version of this dataset: erdMH1sstd8dayR20190.

NOAA CoastWatch provides (mask-applied) global, 11km, Level 3, Standard Mapped Image (SMI), 4km, daytime SST data from NASA's Aqua Spacecraft. This is 8-day composite data. Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft. This is Science Quality data.  This is the August 2015 version of this dataset.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (Masked Daytime Sea Surface Temperature, degree_C)


SST, Aqua MODIS, NPP, 4km, Daytime (11 microns), 2003-2019 (8 Day Composite), DEPRECATED, Lon0360


SST, Aqua MODIS, NPP, 4km, Daytime (11 microns), 2003-2019 (Monthly Composite), DEPRECATED

DEPRECATED. See the newer version of this dataset: erdMH1sstdmdayR20190.

NOAA CoastWatch provides (mask-applied) global, 11km, Level 3, Standard Mapped Image (SMI), 4km, daytime SST data from NASA's Aqua Spacecraft. This is monthly composite data. Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft. This is Science Quality data.  This is the August 2015 version of this dataset.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (Masked Daytime Sea Surface Temperature, degree_C)


SST, Aqua MODIS, NPP, 4km, Daytime (11 microns), 2003-2019 (Monthly Composite), DEPRECATED, Lon0360


SST, AQUA_MODIS, L3m.8D.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Science Quality, 2003-present (8 Day Composite)

This is the delayed, science-quality, composite of Sea Surface Temperature (SST), masked, from Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA), Level-3 Standard Mapped Image (SMI), from NASA GSFC OBPG, R2019.0, Global, 0.04166°

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sstMasked (Masked SST, degree_C)


SST, AQUA_MODIS, L3m.8D.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Science Quality, 2003-present (8 Day Composite), Lon0360


SST, AQUA_MODIS, L3m.8D.SST.sst.4km.NRT, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Near Real Time, 2019-2019 (8 Day Composite)

This is the near real time (NRT), 8-day composite of Sea Surface Temperature (SST), masked, from Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA), Level-3 Standard Mapped Image (SMI), from NASA GSFC OBPG, R2019.0, Global, 0.04166°

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sstMasked (Masked SST, degree_C)


SST, AQUA_MODIS, L3m.8D.SST.sst.4km.NRT, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Near Real Time, 2019-2019 (8 Day Composite), Lon0360


SST, AQUA_MODIS, L3m.DAY.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Science Quality, 2003-2022 (Daily)

This is the delayed, science-quality version of Sea Surface Temperature (SST), masked, from Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA), Level-3 Standard Mapped Image (SMI), from NASA GSFC OBPG, R2019.0, Global, 0.04166°, Daily

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sstMasked (Masked SST, degree_C)


SST, AQUA_MODIS, L3m.DAY.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Science Quality, 2003-2022 (Daily), Lon0360


SST, AQUA_MODIS, L3m.DAY.SST.sst.4km.NRT, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Near Real Time, 2019-2022 (Daily)

This is the near real time (NRT), 1 day composite version of Sea Surface Temperature (SST), masked, from Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA), Level-3 Standard Mapped Image (SMI), from NASA GSFC OBPG, R2019.0, Global, 0.04166°.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sstMasked (Masked SST, degree_C)


SST, AQUA_MODIS, L3m.DAY.SST.sst.4km.NRT, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Near Real Time, 2019-2022 (Daily), Lon0360


SST, AQUA_MODIS, L3m.DAY.SST.sst.4km.NRT, Not Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, 2019-2022, Daily

Sea Surface Temperature (SST), not masked, from Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA), Level-3 Standard Mapped Image (SMI), from NASA GSFC OBPG, R2019.0, Global, 0.04166°, Daily

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (Sea Surface Temperature, degree_C)
qual_sst (Quality Levels, Sea Surface Temperature)


SST, AQUA_MODIS, L3m.DAY.SST.sst.4km.NRT, Not Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, 2019-2022, Daily, Lon0360


SST, AQUA_MODIS, L3m.MO.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Science Quality, 2003-present (Monthly Composite)

This is the delayed, science-quality, monthly composite of Sea Surface Temperature (SST), masked, from Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA), Level-3 Standard Mapped Image (SMI), from NASA GSFC OBPG, R2019.0, Global, 0.04166°

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sstMasked (Masked SST, degree_C)


SST, AQUA_MODIS, L3m.MO.SST.sst.4km, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Science Quality, 2003-present (Monthly Composite), Lon0360


SST, AQUA_MODIS, L3m.MO.SST.sst.4km.NRT, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Near Real Time, 2019-2020 (Monthly Composite)

This is the near real time (NRT), monthly composite of Sea Surface Temperature (SST), masked, from Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA), Level-3 Standard Mapped Image (SMI), from NASA GSFC OBPG, R2019.0, Global, 0.04166°

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sstMasked (Masked SST)


SST, AQUA_MODIS, L3m.MO.SST.sst.4km.NRT, Masked, SMI, NASA GSFC OBPG, R2019.0, Global, 0.04166°, Near Real Time, 2019-2020 (Monthly Composite), Lon0360


SST, Daily Optimum Interpolation (OI), AMSR+AVHRR, Version 2, 2002-2011

Reynolds, et al.(2007) Daily High-resolution Blended Analyses. Background information available at https://www.ncdc.noaa.gov/oisst.  Climatology is based on 1971-2000 OI.v2 SST, Satellite data: AMSR Navy NOAA17 NOAA18 AVHRR, Ice data: NCEP ice.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sst (Daily Sea Surface Temperature, degree_C)
anom (Daily Sea Surface Temperature Anomalies, degree_C)
err (Estimated Error Standard Deviation of Analyzed_SST, degree_C)
ice (Sea Ice Concentration, 1)


SST, Daily Optimum Interpolation (OI), AMSR+AVHRR, Version 2, 2002-2011, Lon+/-180


SST, Daily Optimum Interpolation (OI), AVHRR Only, Version 2, Final, Global, 0.25°, 1982-2020

[There is a newer version of this dataset: ncdcOisst21Agg .] Reynolds, et al.(2007) Daily High-resolution Blended Analyses. This version of the dataset contains the final version of the data. Background information is available at https://www.ncdc.noaa.gov/oisst.  Climatology is based on 1971-2000 OI.v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: GSFC ice.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
sst (Daily sea surface temperature, degree_C)
anom (Daily sea surface temperature anomalies, degree_C)
err (Estimated error standard deviation of analysed_sst, degree_C)
ice (Sea ice concentration, 1)


SST, Daily Optimum Interpolation (OI), AVHRR Only, Version 2, Final, Global, 0.25°, 1982-2020, Lon+/-180


SST, Daily Optimum Interpolation (OI), AVHRR Only, Version 2.1, Final, Global, 0.25°, 1981-present

This is the final version of the related dataset "ncdcOisst21NrtAgg", which has the preliminary, near real time version of these files. These final files are released about 2 weeks after the NRT files.

NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1 - Final. NOAAs 1/4-degree Daily Optimum Interpolation Sea Surface Temperature (OISST) (sometimes referred to as Reynolds SST, which however also refers to earlier products at different resolution), currently available as version v02r01, is created by interpolating and extrapolating SST observations from different sources, resulting in a smoothed complete field. The sources of data are satellite (Advanced Very High Resolution Radiometer (AVHRR)) and in situ platforms (i.e., ships and buoys), and the specific datasets employed may change over time. At the marginal ice zone, sea ice concentrations are used to generate proxy SSTs.  A preliminary version of this file is produced in near-real time (1-day latency), and then replaced with a final version after 2 weeks. Note that this is the AVHRR-ONLY DOISST, available from Oct 1981, but there is a companion DOISST product that includes microwave satellite data, available from June 2002

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
sst (Daily sea surface temperature, degree_C)
anom (Daily sea surface temperature anomalies, degree_C)
err (Estimated error standard deviation of analysed_sst, degree_C)
ice (Sea ice concentration, 1)


SST, Daily Optimum Interpolation (OI), AVHRR Only, Version 2.1, Final, Global, 0.25°, 1981-present, Lon+/-180


SST, Daily Optimum Interpolation (OI), AVHRR Only, Version 2.1, Preliminary, Global, 0.25°, 2020-present

This is the preliminary, near real time version of the related dataset "ncdcOisst21Agg", which has the final version of these files, which are released about 2 weeks after these NRT files.

NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1 - Inter. NOAAs 1/4-degree Daily Optimum Interpolation Sea Surface Temperature (OISST) (sometimes referred to as Reynolds SST, which however also refers to earlier products at different resolution), currently available as version v02r01, is created by interpolating and extrapolating SST observations from different sources, resulting in a smoothed complete field. The sources of data are satellite (Advanced Very High Resolution Radiometer (AVHRR)) and in situ platforms (i.e., ships and buoys), and the specific datasets employed may change over time. At the marginal ice zone, sea ice concentrations are used to generate proxy SSTs.  A preliminary version of this file is produced in near-real time (1-day latency), and then replaced with a final version after 2 weeks. Note that this is the AVHRR-ONLY DOISST, available from Oct 1981, but there is a companion DOISST product that includes microwave satellite data, available from June 2002

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
sst (Daily sea surface temperature, degree_C)
anom (Daily sea surface temperature anomalies, degree_C)
err (Estimated error standard deviation of analysed_sst, degree_C)
ice (Sea ice concentration, 1)


SST, Daily Optimum Interpolation (OI), AVHRR Only, Version 2.1, Preliminary, Global, 0.25°, 2020-present, Lon+/-180


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2004-present (1 Day Composite)

NOAA CoastWatch provides sea surface temperature (SST) products derived from NOAA's Polar Operational Environmental Satellites (POES).  This data is provided at high resolution (0.0125 degrees) for the North Pacific Ocean.  Measurements are gathered by the Advanced Very High Resolution Radiometer (AVHRR) instrument, a multiband radiance sensor carried aboard the NOAA POES satellites.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sst (Sea Surface Temperature, degree_C)


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2004-present (1 Day Composite), degree_F

NOAA CoastWatch provides sea surface temperature (SST) products derived from NOAA's Polar Operational Environmental Satellites (POES).  This data is provided at high resolution (0.0125 degrees) for the North Pacific Ocean.  Measurements are gathered by the Advanced Very High Resolution Radiometer (AVHRR) instrument, a multiband radiance sensor carried aboard the NOAA POES satellites.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sst (Sea Surface Temperature, degree_F)


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2004-present (1 Day Composite), degree_F, Lon+/-180


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2004-present (1 Day Composite), Lon+/-180


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2004-present (3 Day Composite)


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2004-present (3 Day Composite), Lon+/-180


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2004-present (8 Day Composite)


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2004-present (8 Day Composite), degree_F


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2004-present (8 Day Composite), degree_F, Lon+/-180


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2004-present (8 Day Composite), Lon+/-180


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2005-present (14 Day Composite)


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2005-present (14 Day Composite), Lon+/-180


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2007-present (Monthly Composite)


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2007-present (Monthly Composite), Lon+/-180


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Daytime, 2004-present (Single Scan)


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Daytime, 2004-present (Single Scan), Lon+/-180

NOAA CoastWatch provides sea surface temperature (SST) products derived from NOAA's Polar Operational Environmental Satellites (POES).  This data is provided at high resolution (0.0125 degrees) for the North Pacific Ocean.  Measurements are gathered by the Advanced Very High Resolution Radiometer (AVHRR) instrument, a multiband radiance sensor carried aboard the NOAA POES satellites.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sst (Sea Surface Temperature, degree_C)


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Nighttime, 2004-present (Single Scan)


SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Nighttime, 2004-present (Single Scan), Lon+/-180