nikolski 1 mhhw 2014 (GDAL Band Number 1), 2.7777778E-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)


nikolski 13 mhhw 2014 (GDAL Band Number 1), 9.259259E-5°


nlwrs.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]):
nlwrs (Monthly Long Term Mean of Net Longwave Radiation Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


NOAA CoastWatch noaa19/metop-a goese/w msg/mtsat SST Blended Analysis (cwblendedsst), 0.099999994°, 2013

United States Department of Commerce (USDOC)/NOAA/National Environmental Satellite, Data, and Information Service (NESDIS) COASTWATCH noaa19/metop-a goese/w msg/mtsat Sea Surface Temperature (SST) Blended Analysis. Original product modified by CW Caribean&Gulf of Mexico Regional Node to include frontal systems

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst_analysis (degree_C)
sst_error (degree_C)
sst_gradient (degree_C)


NOAA CoastWatch noaa19/metop-a goese/w msg/mtsat SST Blended Analysis NIGHT ONLY, 0.05°, 2002-present

United States Department of Commerce (USDOC)/NOAA/National Environmental Satellite, Data, and Information Service (NESDIS) COASTWATCH noaa19/metop-a goese/w msg/mtsat Sea Surface Temperature (SST) Blended Analysis NIGHT ONLY. Original product modified by CW Caribean&Gulf of Mexico Regional Node to include frontal systems

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst_analysis_night_only (degree_C)
sst_gradient (degree_C)


NOAA CoastWatch noaa19/metop-a goese/w msg/mtsat SST Blended Analysis NIGHT ONLY, 0.05°, 2017-present


NOAA CoastWatch, Sea Surface Height Anomalies and Geostrophic Currents from Altimetry, Global, 2017-present, EXPERIMENTAL

The altimetry data are from RADS (http://rads.tudelft.nl/rads/rads.shtml), the Radar Altimetry Database System, first developed at Delft University of Technology, now also at the NOAA and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The RADS data for each mission is updated with state of the art corrections for tides, atmospheric path delay, etc. Because they are all computed consistently between the various missions, this avoids the possibility of introducing biases and drifts because of the different implementation of the various corrections by different agencies. The goals of RADS are to provide a homogenous dataset of sea level anomalies, wave heights, and wind speeds, along with database selection and analysis tools.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sla (Sea Level Anomalies, m)
ugos (Absolute Geostrophic Velocity: Zonal Component, m s-1)
vgos (Absolute Geostrophic Velocity: Meridian Component, m s-1)

NOAA/NESDIS Center for Satellite Applications and Research


NOAA CoastWatch, Sea Surface Height Anomalies and Geostrophic Currents from Altimetry, Global, 2017-present, EXPERIMENTAL, Lon0360


NOAA Coral Reef Watch 25km Ocean Acidification, Caribbean, Preliminary, 0.25°, 2016-present

Archived NOAA Coral Reef Watch 25km Ocean Acidification Product Suite for the Greater Caribbean Region Quality Flag = Preliminary. This is the Coral Reef Watch Ocean Acidification Product Suite  produced monthly in conjunction with NOAA CoastWatch. CoastWatch Utilities, including CoastWatch Data Analysis  Tool (CDAT), v3.2.1 or higher (https://coastwatch.noaa.gov/cw_software.html) can be used for viewing, analyzing, and plotting the data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SST (NOAA Coral Reef Watch Experimental Ocean Acidification Product Suite - NOAA OI AVHRR-AMSRE SST 25km, degree_C)
SSS (NOAA Coral Reef Watch Experimental Ocean Acidification Product Suite - IASNFS SSS interpolated to 25km, PSU)
pCO2sw (NOAA Coral Reef Watch Experimental Ocean Acidification Product Suite - pCO2sw 25km, uatm)
TA (NOAA Coral Reef Watch Experimental Ocean Acidification Product Suite - Total Alkalinity (TA) 25km, µmole/kg)
TC (NOAA Coral Reef Watch Experimental Ocean Acidification Product Suite - Total Inorganic Carbon (TC) 25km, µmole/kg)
pH (NOAA Coral Reef Watch Experimental Ocean Acidification Product Suite - pH 25km, Total Scale)
SSA (NOAA Coral Reef Watch Experimental Ocean Acidification Product Suite - Saturation State (argonite) 25km, Omega)
HCO3 (NOAA Coral Reef Watch Experimental Ocean Acidification Product Suite - Bicarbonate Ion Concentration (HCO3-) 25km, µmole/kg)
CO3 (NOAA Coral Reef Watch Experimental Ocean Acidification Product Suite - Carbonate Ion Concentration (CO3--) 25km, µmole/kg)
surface_flag (Pixel characteristics flag array)


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

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

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


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


NOAA ERSSTv4 (in situ only), 2°, Global, Monthly, 1854-2020

The Extended Reconstructed Sea Surface Temperature (ERSST) dataset is a global monthly sea surface temperature dataset derived from the International Comprehensive Ocean-Atmosphere Dataset (ICOADS). It is produced on a 2° × 2° grid with spatial completeness enhanced using statistical methods. This monthly analysis begins in January 1854 continuing to the present and includes anomalies computed with respect to a 1971-2000 monthly climatology.

This dataset is ERSST version 4. Please see the newer version 5.

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


NOAA ERSSTv4 (in situ only), 2°, Global, Monthly, 1854-2020, Lon+/-180


NOAA ERSSTv5 (in situ only) (sst.mnmean), 2.0°, 1854-present

NOAA ERSSTv5 (in situ only). ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis

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

This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG


NOAA ERSSTv5 (in situ only) (sst.mon.ltm), 2.0°, 0001

NOAA ERSSTv5 (in situ only). ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis

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


NOAA ERSSTv5 (in situ only) (sst.mon.ltm.1981-2010), 2.0°, 0001


NOAA ERSSTv5 (in situ only) (sst.mon.ltm.1991-2020), 2.0°, 0001


NOAA ERSSTv5 (in situ only), 2°, Global, Monthly, 1854-present

The Extended Reconstructed Sea Surface Temperature (ERSST) dataset is a global monthly sea surface temperature dataset derived from the International Comprehensive Ocean-Atmosphere Dataset (ICOADS). It is produced on a 2° × 2° grid with spatial completeness enhanced using statistical methods. This monthly analysis begins in January 1854 continuing to the present and includes anomalies computed with respect to a 1971-2000 monthly climatology.

This is the newest version of ERSST, version 5

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


NOAA ERSSTv5 (in situ only), 2°, Global, Monthly, 1854-present, Lon+/-180


NOAA Extended Reconstructed SST (ERSST), Version 4 (in situ only) (sst.mnmean.v4), 2.0°, 1854-2020

NOAA Extended Reconstructed Sea Surface Temperature (ERSST), Version 4 (in situ only). In situ data: ICOADS2.5 before 2007 and National Centers for Environmental Prediction (NCEP) in situ data from 2008 to present. Ice data: Hadley Centre Sea Ice and Sea Surface Temperature (HadISST) ice before 2010 and NCEP ice after 2010.

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

This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/NCDC


NOAA Extended Reconstructed SST (ERSST), Version 4 (in situ only) (sst.mon.1971-2000.ltm.v4), 2.0°, 0001

NOAA Extended Reconstructed Sea Surface Temperature (ERSST), Version 4 (in situ only). In situ data: ICOADS2.5 before 2007 and National Centers for Environmental Prediction (NCEP) in situ data from 2008 to present. Ice data: Hadley Centre Sea Ice and Sea Surface Temperature (HadISST) ice before 2010 and NCEP ice after 2010.

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


NOAA Extended Reconstructed SST (ERSST), Version 4 (in situ only) (sst.mon.1981-2010.ltm.v4), 2.0°, 0001


NOAA Extended Reconstructed SST V3 (err.mnmean), 2.0°, 1854-2020

NOAA Extended Reconstructed SST V3. The extended reconstructed sea surface temperature (ERSST)
was constructed using the most recently available
Comprehensive Ocean-Atmosphere Data Set (COADS) SST data
and improved statistical methods that allow stable
reconstruction using sparse data.Currently, ERSST version 2 ( ERSST.v2 ) and version 3 ( ERSST.v3 ) are available from National Climatic Data Center (NCDC).
ERSST.v3 is an improved extended reconstruction over version 2.
Most of the improvements are justified by testing with simulated data.
The major differences are caused by the improved low-frequency ( LF ) tuning of ERSST.v3
which reduces the SST anomaly damping before 1930 using the optimized parameters.
Beginning in 1985, ERSST.v3 is also improved by explicitly including
bias-adjusted satellite infrared data from Advanced Very High Resolution Radiometer (AVHRR).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
err (Monthly Mean Error Estimate of Sea Surface Temperature)


NOAA Extended Reconstructed SST V3 (err.mnmean.v3), 2.0°, 1854-2020


NOAA Extended Reconstructed SST V3 (sst.mon.19712000.ltm.v3), 2.0°, 0001

NOAA Extended Reconstructed SST V3. The extended reconstructed sea surface temperature (ERSST)
was constructed using the most recently available
Comprehensive Ocean-Atmosphere Data Set ( COADS ) SST data
and improved statistical methods that allow stable
reconstruction using sparse data.
Currently, ERSST version 2 ( ERSST.v2 ) and version 3b ( ERSST.v3b ) are available from National Climatic Data Center (NCDC).
ERSST.v3 is an improved extended reconstruction over version 2.
Most of the improvements are justified by testing with simulated data.
The major differences are caused by the improved low-frequency ( LF ) tuning of ERSST.v3
which reduces the SST anomaly damping before 1930 using the optimized parameters.

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


NOAA Extended Reconstructed SST V3b (sst.mnmean), 2.0°, 1854-2020

NOAA Extended Reconstructed SST V3b. The extended reconstructed sea surface temperature (ERSST)
was constructed using the most recently available
Comprehensive Ocean-Atmosphere Data Set (COADS) SST data
and improved statistical methods that allow stable
reconstruction using sparse data.
Currently, ERSST version 2 (ERSST.v2) and version 3 (ERSST.v3) and ERSST.v3b) are available from National Climatic Data Center (NCDC).
ERSST.v3b is an improved extended reconstruction over version 2.
 but with no satellite data

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


NOAA Extended Reconstructed SST V3b (sst.mnmean.v3), 2.0°, 1854-2020


NOAA Extended Reconstructed SST V3b (sst.mon.1981-2010.ltm.v3), 2.0°, 0001

NOAA Extended Reconstructed SST V3b. The extended reconstructed sea surface temperature (ERSST)
was constructed using the most recently available
Comprehensive Ocean-Atmosphere Data Set (COADS) SST data
and improved statistical methods that allow stable
reconstruction using sparse data.
Currently, ERSST version 2 (ERSST.v2) and version 3 (ERSST.v3) and ERSST.v3b) are available from National Climatic Data Center (NCDC).
ERSST.v3b is an improved extended reconstruction over version 2.
 but with no satellite data

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


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1981), 0.25°

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icec (Daily Sea Ice Concentration, percent)


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1982), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1983), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1984), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1985), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1986), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1987), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1988), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1989), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1990), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1991), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1992), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1993), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1994), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1995), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1996), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1997), 0.25°

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icec (Daily Sea Ice Concentration, percent)


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1998), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.1999), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.2000), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.2001), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.2002), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.2003), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.2004), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.2005), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.2006), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.2007), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.2008), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.2009), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.2010), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.2011), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.2012), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.2013), 0.25°

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icec (Daily Sea Ice Concentration, percent)


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.2014), 0.25°

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice. Data less than 15 days old may be subject to revision.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icec (Daily Sea Ice Concentration, percent)


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.2015), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (icec.day.mean.ltm.1991-2020), 0.25°, 0001

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icec (Daily Long Term Mean Sea Ice Concentration, percent)
valid_yr_count (count of non-missing values used in mean)


NOAA High-resolution Blended Analysis: AVHRR only, Daily (lsmask.oisst), 0.25°, 1981

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lsmask (Land-Sea Mask)


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1981), 0.25°

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

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


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1982), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1983), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1984), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1985), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1986), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1987), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1988), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1989), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1990), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1991), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1992), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1993), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1994), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1995), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1996), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1997), 0.25°

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

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


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1998), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.1999), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.2000), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.2001), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.2002), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.2003), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.2004), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.2005), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.2006), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.2007), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.2008), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.2009), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.2010), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.2011), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.2012), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.2013), 0.25°

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

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


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.2014), 0.25°

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice. Data less than 15 days old may be subject to revision.

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


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.anom.2015), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1981), 0.25°

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
err (Daily Estimated Error Standard Deviation of Analysed_sst, degree_C)


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1982), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1983), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1984), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1985), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1986), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1987), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1988), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1989), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1990), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1991), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1992), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1993), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1994), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1995), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1996), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1997), 0.25°

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
err (Daily Estimated Error Standard Deviation of Analysed_sst, degree_C)


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1998), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.1999), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.2000), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.2001), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.2002), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.2003), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.2004), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.2005), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.2006), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.2007), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.2008), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.2009), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.2010), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.2011), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.2012), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.2013), 0.25°

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
err (Daily Estimated Error Standard Deviation of Analysed_sst, degree_C)


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.2014), 0.25°

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice. Data less than 15 days old may be subject to revision.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
err (Daily Estimated Error Standard Deviation of Analysed_sst, degree_C)


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.err.2015), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1981), 0.25°

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

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


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1982), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1983), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1984), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1985), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1986), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1987), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1988), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1989), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1990), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1991), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1992), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1993), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1994), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1995), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1996), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1997), 0.25°

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

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


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1998), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.1999), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.2000), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.2001), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.2002), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.2003), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.2004), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.2005), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.2006), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.2007), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.2008), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.2009), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.2010), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.2011), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.2012), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.2013), 0.25°

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

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


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.2014), 0.25°

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice. Data less than 15 days old may be subject to revision.

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


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.2015), 0.25°


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.ltm), 0.25°, 0001

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

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


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.ltm.1971-2000), 0.25°, 0001


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.ltm.1982-2010), 0.25°, 0001

NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

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


NOAA High-resolution Blended Analysis: AVHRR only, Daily (sst.day.mean.ltm.1991-2020), 0.25°, 0001


NOAA Highly Reflective Clouds, 25N-25S (hrc.dailies), 1.0°, 1971-1988

NOAA Highly Reflective Clouds, 25N-25S (hrc.dailies)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hrc (Highly Reflective Clouds Daily Values)
missflag (HRC missing flag; 1=missing, 0=present)


NOAA Highly Reflective Clouds, 25N-25S (hrc.ltmstddev), 1.0°, 0001

NOAA Highly Reflective Clouds, 25N-25S (hrc.ltmstddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hrc (Highly Reflective Clouds Long Term Monthly Standard Deviation)


NOAA Highly Reflective Clouds, 25N-25S (hrc.monthlies), 1.0°, 1971-1985

NOAA Highly Reflective Clouds, 25N-25S (hrc.monthlies)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hrc (Highly Reflective Clouds Monthly Mean)


NOAA Highly Reflective Clouds, 25N-25S (hrc.nmissdays), 1.0°, 1971-1985

NOAA Highly Reflective Clouds, 25N-25S (hrc.nmissdays)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hrc (Highly Reflective Clouds Monthly Missing Days)


NOAA Highly Reflective Clouds, 25N-25S (hrc.norm monthlies), 1.0°, 1971-1985

NOAA Highly Reflective Clouds, 25N-25S (hrc.norm monthlies)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hrc (Highly Reflective Clouds Normalized Monthly Mean)


NOAA Highly Reflective Clouds, 25N-25S (hrc.normltm), 1.0°, 0001

NOAA Highly Reflective Clouds, 25N-25S (hrc.normltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hrc (Highly Reflective Clouds Normalized Long Term Monthly Mean)


NOAA Merged Land Ocean Global Surface Temperature Analysis (NOAAGlobalTemp) (air.mon.anom), 5.0°, 1880-present

NOAA Merged Land Ocean Global Surface Temperature Analysis (NOAAGlobalTemp). Merged land ocean surface temperature anomalies. Version 5.0.0, blending ERSST V5 and Global Historical Climatology Network (GHCN)-M V4

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Surface Air Temperature and SST Monthly Anomaly, degree_C)


NOAA Merged Land Ocean Global Surface Temperature Analysis (NOAAGlobalTemp) (air.mon.anom.v4), 5.0°, 1880-2019


NOAA Merged Land-Ocean Surface Temperature (air.mon.anom.v3.54), 5.0°, 1880-2015

NOAA Merged Land-Ocean Surface Temperature Analysis (air.mon.anom.v3.54)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Surface Air Temperature and SST Monthly Anomaly, degree_C)


NOAA Merged Land-Ocean Surface Temperature (lsmask), 5.0°, 2000

NOAA Merged Land-Ocean Surface Temperature Analysis (lsmask)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lsmask (Surface Air Temperature and SST Land Mask, fraction)


NOAA NGDC U.S. Coastal Relief Model. crm vol1 (crm_v1), 8.3333335E-4°

crm_v1. National Geophysical Data Center (NGDC)'s 3 arc-second U.S. Coastal Relief Model (CRM) provides the first comprehensive view of the U.S. coastal zone, integrating offshore bathymetry with land topography into a seamless representation of the coast. The CRM spans the U.S. East and West Coasts, the northern coast of the Gulf of Mexico, Puerto Rico, and Hawaii, reaching out to, and in places even beyond, the continental slope. Bathymetric and topographic data sources include: NGDC's National Ocean Service (NOS) hydrographic surveys, multibeam bathymetry, and trackline bathymetry; the U.S. Geological Survey (United States Geological Survey (USGS)); and other federal government agencies and academic institutions.

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


NOAA NGDC U.S. Coastal Relief Model. crm vol10 (crm_v10), 8.3333335E-4°

crm_v10. National Geophysical Data Center (NGDC)'s 3 arc-second U.S. Coastal Relief Model (CRM) provides the first comprehensive view of the U.S. coastal zone, integrating offshore bathymetry with land topography into a seamless representation of the coast. The CRM spans the U.S. East and West Coasts, the northern coast of the Gulf of Mexico, Puerto Rico, and Hawaii, reaching out to, and in places even beyond, the continental slope. Bathymetric and topographic data sources include: NGDC's National Ocean Service (NOS) hydrographic surveys, multibeam bathymetry, and trackline bathymetry; the U.S. Geological Survey (United States Geological Survey (USGS)); and other federal government agencies and academic institutions.

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


NOAA NGDC U.S. Coastal Relief Model. crm vol2 (crm_v2), 8.3333335E-4°

crm_v2. National Geophysical Data Center (NGDC)'s 3 arc-second U.S. Coastal Relief Model (CRM) provides the first comprehensive view of the U.S. coastal zone, integrating offshore bathymetry with land topography into a seamless representation of the coast. The CRM spans the U.S. East and West Coasts, the northern coast of the Gulf of Mexico, Puerto Rico, and Hawaii, reaching out to, and in places even beyond, the continental slope. Bathymetric and topographic data sources include: NGDC's National Ocean Service (NOS) hydrographic surveys, multibeam bathymetry, and trackline bathymetry; the U.S. Geological Survey (United States Geological Survey (USGS)); and other federal government agencies and academic institutions.

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


NOAA NGDC U.S. Coastal Relief Model. crm vol3 (crm_v3), 8.3333335E-4°

crm_v3. National Geophysical Data Center (NGDC)'s 3 arc-second U.S. Coastal Relief Model (CRM) provides the first comprehensive view of the U.S. coastal zone, integrating offshore bathymetry with land topography into a seamless representation of the coast. The CRM spans the U.S. East and West Coasts, the northern coast of the Gulf of Mexico, Puerto Rico, and Hawaii, reaching out to, and in places even beyond, the continental slope. Bathymetric and topographic data sources include: NGDC's National Ocean Service (NOS) hydrographic surveys, multibeam bathymetry, and trackline bathymetry; the U.S. Geological Survey (United States Geological Survey (USGS)); and other federal government agencies and academic institutions.

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


NOAA NGDC U.S. Coastal Relief Model. crm vol4 (crm_v4), 8.3333335E-4°

crm_v4. National Geophysical Data Center (NGDC)'s 3 arc-second U.S. Coastal Relief Model (CRM) provides the first comprehensive view of the U.S. coastal zone, integrating offshore bathymetry with land topography into a seamless representation of the coast. The CRM spans the U.S. East and West Coasts, the northern coast of the Gulf of Mexico, Puerto Rico, and Hawaii, reaching out to, and in places even beyond, the continental slope. Bathymetric and topographic data sources include: NGDC's National Ocean Service (NOS) hydrographic surveys, multibeam bathymetry, and trackline bathymetry; the U.S. Geological Survey (United States Geological Survey (USGS)); and other federal government agencies and academic institutions.

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


NOAA NGDC U.S. Coastal Relief Model. crm vol5 (crm_v5), 8.3333335E-4°

crm_v5. National Geophysical Data Center (NGDC)'s 3 arc-second U.S. Coastal Relief Model (CRM) provides the first comprehensive view of the U.S. coastal zone, integrating offshore bathymetry with land topography into a seamless representation of the coast. The CRM spans the U.S. East and West Coasts, the northern coast of the Gulf of Mexico, Puerto Rico, and Hawaii, reaching out to, and in places even beyond, the continental slope. Bathymetric and topographic data sources include: NGDC's National Ocean Service (NOS) hydrographic surveys, multibeam bathymetry, and trackline bathymetry; the U.S. Geological Survey (United States Geological Survey (USGS)); and other federal government agencies and academic institutions.

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


NOAA NGDC U.S. Coastal Relief Model. crm vol6 (crm_v6), 8.3333335E-4°

crm_v6. National Geophysical Data Center (NGDC)'s 3 arc-second U.S. Coastal Relief Model (CRM) provides the first comprehensive view of the U.S. coastal zone, integrating offshore bathymetry with land topography into a seamless representation of the coast. The CRM spans the U.S. East and West Coasts, the northern coast of the Gulf of Mexico, Puerto Rico, and Hawaii, reaching out to, and in places even beyond, the continental slope. Bathymetric and topographic data sources include: NGDC's National Ocean Service (NOS) hydrographic surveys, multibeam bathymetry, and trackline bathymetry; the U.S. Geological Survey (United States Geological Survey (USGS)); and other federal government agencies and academic institutions.

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


NOAA NGDC U.S. Coastal Relief Model. crm vol7 (crm_v7), 8.3333335E-4°

crm_v7. National Geophysical Data Center (NGDC)'s 3 arc-second U.S. Coastal Relief Model (CRM) provides the first comprehensive view of the U.S. coastal zone, integrating offshore bathymetry with land topography into a seamless representation of the coast. The CRM spans the U.S. East and West Coasts, the northern coast of the Gulf of Mexico, Puerto Rico, and Hawaii, reaching out to, and in places even beyond, the continental slope. Bathymetric and topographic data sources include: NGDC's National Ocean Service (NOS) hydrographic surveys, multibeam bathymetry, and trackline bathymetry; the U.S. Geological Survey (United States Geological Survey (USGS)); and other federal government agencies and academic institutions.

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


NOAA NGDC U.S. Coastal Relief Model. crm vol8 (crm_v8), 8.3333335E-4°

crm_v8. National Geophysical Data Center (NGDC)'s 3 arc-second U.S. Coastal Relief Model (CRM) provides the first comprehensive view of the U.S. coastal zone, integrating offshore bathymetry with land topography into a seamless representation of the coast. The CRM spans the U.S. East and West Coasts, the northern coast of the Gulf of Mexico, Puerto Rico, and Hawaii, reaching out to, and in places even beyond, the continental slope. Bathymetric and topographic data sources include: NGDC's National Ocean Service (NOS) hydrographic surveys, multibeam bathymetry, and trackline bathymetry; the U.S. Geological Survey (United States Geological Survey (USGS)); and other federal government agencies and academic institutions.

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


NOAA NGDC U.S. Coastal Relief Model. crm vol9 (crm_v9), 8.3333335E-4°

crm_v9. National Geophysical Data Center (NGDC)'s 3 arc-second U.S. Coastal Relief Model (CRM) provides the first comprehensive view of the U.S. coastal zone, integrating offshore bathymetry with land topography into a seamless representation of the coast. The CRM spans the U.S. East and West Coasts, the northern coast of the Gulf of Mexico, Puerto Rico, and Hawaii, reaching out to, and in places even beyond, the continental slope. Bathymetric and topographic data sources include: NGDC's National Ocean Service (NOS) hydrographic surveys, multibeam bathymetry, and trackline bathymetry; the U.S. Geological Survey (United States Geological Survey (USGS)); and other federal government agencies and academic institutions.

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


NOAA NGDC U.S. Coastal Relief Model. Topography Grid (crm southak), 0.006666667°

Topography Grid. National Geophysical Data Center (NGDC)'s 3 arc-second U.S. Coastal Relief Model (CRM) provides the first comprehensive view of the U.S. coastal zone, integrating offshore bathymetry with land topography into a seamless representation of the coast. The CRM spans the U.S. East and West Coasts, the northern coast of the Gulf of Mexico, Puerto Rico, and Hawaii, reaching out to, and in places even beyond, the continental slope. Bathymetric and topographic data sources include: NGDC's National Ocean Service (NOS) hydrographic surveys, multibeam bathymetry, and trackline bathymetry; the U.S. Geological Survey (United States Geological Survey (USGS)); and other federal government agencies and academic institutions.

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


NOAA NWS Historical Hydrology Data, Air Temperature, AORC ABRFC (Oklahoma), 1979 [EXPERIMENTAL DEMONSTRATION]

NOAA National Weather Service (NWS) Historical Hydrology, Analysis of Record for Calibration (AORC), air temperature data for the AORC ABRFC (Oklahoma) region, using data from
https://hydrology.nws.noaa.gov/aorc-historic/AORC_ABRFC_4km/ .
Instantaneous 2-m above ground temperature valid at nominal file time, and 1-h precipitation
accumulation ending at the nominal file time. The period covered is 5 January 1979 to 31
December 2017. Data are stored at a precision of 0.1K and 0.1mm. Data are unprojected, that
is, defined by a latitude/longitude grid. File collections on the ftp server are from a thinned
AORC grid at a spacing of 0.032 degrees, approximately 4-km mesh.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TMP_2maboveground (Temperature, degree_C)


NOAA NWS Historical Hydrology Data, Air Temperature, AORC ABRFC (Oklahoma), 1979 [EXPERIMENTAL DEMONSTRATION], Lon0360


NOAA Optimum Interpolation (OI) SST V2 (err.wkmean.1981-1989), 1.0°

NOAA Optimum Interpolation (OI) Sea Surface Temperature (SST) V2. Data described in  Reynolds, R.W., N.A. Rayner, T.M.
Smith, D.C. Stokes, and W. Wang, 2002: An Improved In Situ and Satellite
SST Analysis for Climate, J. Climate

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
err (Normalized Error Variance)

National Centers for Environmental Prediction


NOAA Optimum Interpolation (OI) SST V2 (err.wkmean.1990-present), 1.0°


NOAA Optimum Interpolation (OI) SST V2 (icec.mnmean), 1.0°, 1981-present

NOAA Optimum Interpolation (OI) Sea Surface Temperature (SST) V2. Data described in  Reynolds, R.W., N.A. Rayner, T.M.
Smith, D.C. Stokes, and W. Wang, 2002: An Improved In Situ and Satellite
SST Analysis for Climate, J. Climate

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icec (Monthly Means of Ice Concentration, percent)


NOAA Optimum Interpolation (OI) SST V2 (icec.wkmean.1981-1989), 1.0°

NOAA Optimum Interpolation (OI) Sea Surface Temperature (SST) V2. Data described in  Reynolds, R.W., N.A. Rayner, T.M.
Smith, D.C. Stokes, and W. Wang, 2002: An Improved In Situ and Satellite
SST Analysis for Climate, J. Climate

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icec (Weekly Means of Ice Concentration, percent)


NOAA Optimum Interpolation (OI) SST V2 (icec.wkmean.1990-present), 1.0°


NOAA Optimum Interpolation (OI) SST V2 (lsmask), 1.0°, 1981

NOAA Optimum Interpolation (OI) Sea Surface Temperature (SST) V2. Data described in  Reynolds, R.W., N.A. Rayner, T.M.
Smith, D.C. Stokes, and W. Wang, 2002: An Improved In Situ and Satellite
SST Analysis for Climate, J. Climate

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
mask (Land Sea Mask)


NOAA Optimum Interpolation (OI) SST V2 (sst.day.1981-2010.ltm), 1.0°, 0001

NOAA Optimum Interpolation (OI) Sea Surface Temperature (SST) V2 (sst.day.1981-2010.ltm)

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


NOAA Optimum Interpolation (OI) SST V2 (sst.ltm.1961-1990), 1.0°, 0001

NOAA Optimum Interpolation (OI) Sea Surface Temperature (SST) V2. Constructed using the method of Reynolds and Smith (1995).
The new climatology was built from two intermediate climatologies:
a 2 degree SST climatology developed from in situ data for the
period 1971-2000, and a 1 degree SST climatology for the period
1982-2000 derived from the second version optimum interpolation (OI.v2) SST
analysis. OI SST V2 data described in  Reynolds, R.W., N.A. Rayner, T.M.
Smith, D.C. Stokes, and W. Wang, 2002: An Improved In Situ and Satellite
SST Analysis for Climate, J. Climate

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


NOAA Optimum Interpolation (OI) SST V2 (sst.ltm.1971-2000), 1.0°, 0001


NOAA Optimum Interpolation (OI) SST V2 (sst.ltm.1981-2010), 1.0°, 0001

NOAA Optimum Interpolation (OI) Sea Surface Temperature (SST) V2 (sst.ltm.1981-2010)

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


NOAA Optimum Interpolation (OI) SST V2 (sst.mnmean), 1.0°, 1981-present

NOAA Optimum Interpolation (OI) Sea Surface Temperature (SST) V2. Data described in  Reynolds, R.W., N.A. Rayner, T.M.
Smith, D.C. Stokes, and W. Wang, 2002: An Improved In Situ and Satellite
SST Analysis for Climate, J. Climate

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

National Centers for Environmental Prediction


NOAA Optimum Interpolation (OI) SST V2 (sst.wkmean.1981-1989), 1.0°

NOAA Optimum Interpolation (OI) Sea Surface Temperature (SST) V2. Data described in  Reynolds, R.W., N.A. Rayner, T.M.
Smith, D.C. Stokes, and W. Wang, 2002: An Improved In Situ and Satellite
SST Analysis for Climate, J. Climate

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


NOAA Optimum Interpolation (OI) SST V2 (sst.wkmean.1990-present), 1.0°


NOAA/NCDC Blended 6-hourly 0.25-degree Sea Surface Wind Stress (Best Time Series) [time], 1987-2011

NOAA/National Climatic Data Center (NCDC) Blended 6-hourly 0.25-degree Sea Surface Wind Stress. Best time series, taking the data from the most recent run available.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time]):
time_run (run times for coordinate = time, seconds since 1970-01-01T00:00:00Z)
time_offset (offset hour from start of run for coordinate = time, seconds since 1970-01-01T00:00:00Z)


NOAA/NCDC Blended 6-hourly 0.25-degree Sea Surface Wind Stress (Best Time Series) [time][zlev][lat][lon], 1987-2011

NOAA/National Climatic Data Center (NCDC) Blended 6-hourly 0.25-degree Sea Surface Wind Stress. Best time series, taking the data from the most recent run available.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
taux (surface_downward_eastward_stress, N/m**2)
tauy (surface_downward_northward_stress, N/m**2)


NOAA/NCDC Blended 6-hourly 0.25-degree Sea Surface Winds (Best Time Series) [time], 1987-2011

NOAA/National Climatic Data Center (NCDC) Blended 6-hourly 0.25-degree Sea Surface Winds. Best time series, taking the data from the most recent run available.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time]):
time_run (run times for coordinate = time, seconds since 1970-01-01T00:00:00Z)
time_offset (offset hour from start of run for coordinate = time, seconds since 1970-01-01T00:00:00Z)


NOAA/NCDC Blended 6-hourly 0.25-degree Sea Surface Winds (Best Time Series) [time][zlev][lat][lon], 1987-2011

NOAA/National Climatic Data Center (NCDC) Blended 6-hourly 0.25-degree Sea Surface Winds. Best time series, taking the data from the most recent run available.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
u (x_wind, m s-1)
v (y_wind, m s-1)


NOAA/NCDC Blended daily 0.25-degree Sea Surface Wind Stress (Best Time Series) [time], 1987-2011

NOAA/National Climatic Data Center (NCDC) Blended daily 0.25-degree Sea Surface Wind Stress. Best time series, taking the data from the most recent run available.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time]):
time_run (run times for coordinate = time, seconds since 1970-01-01T00:00:00Z)
time_offset (offset hour from start of run for coordinate = time, seconds since 1970-01-01T00:00:00Z)


NOAA/NCDC Blended daily 0.25-degree Sea Surface Winds (Best Time Series) [time], 1987-2011

NOAA/National Climatic Data Center (NCDC) Blended daily 0.25-degree Sea Surface Winds. Best time series, taking the data from the most recent run available.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time]):
time_run (run times for coordinate = time, seconds since 1970-01-01T00:00:00Z)
time_offset (offset hour from start of run for coordinate = time, seconds since 1970-01-01T00:00:00Z)


NOAA/NCEI 1/4 Degree Daily Optimum Interpolation SST (OISST) Analysis, Version 2.1, 0.25°, 2016

NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1. Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at https://doi.org/10.1175/2007JCLI1824.1). Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at https://doi.org/10.5194/essd-8-165-2016). Huang et al. (2020) Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version v02r01, submitted.Climatology is based on 1971-2000 OI.v2 SST. Satellite data: Pathfinder Advanced Very High Resolution Radiometer (AVHRR) SST and Navy AVHRR SST. Ice data: National Centers for Environmental Prediction (NCEP) Ice and Goddard Space Flight Center (GSFC) Ice.

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


NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1. Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at https://doi.org/10.1175/2007JCLI1824.1). Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at https://doi.org/10.5194/essd-8-165-2016). Huang et al. (2020) Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version v02r01, submitted.Climatology is based on 1971-2000 OI.v2 SST. Satellite data: Pathfinder Advanced Very High Resolution Radiometer (AVHRR) SST and Navy AVHRR SST. Ice data: National Centers for Environmental Prediction (NCEP) Ice and Goddard Space Flight Center (GSFC) Ice.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
err (Daily Estimated Error Standard Deviation of Analysed_sst, degree_C)


NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1. Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at https://doi.org/10.1175/2007JCLI1824.1). Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at https://doi.org/10.5194/essd-8-165-2016). Huang et al. (2020) Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version v02r01, submitted.Climatology is based on 1971-2000 OI.v2 SST. Satellite data: Pathfinder Advanced Very High Resolution Radiometer (AVHRR) SST and Navy AVHRR SST. Ice data: National Centers for Environmental Prediction (NCEP) Ice and Goddard Space Flight Center (GSFC) Ice.

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


NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1. Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at https://doi.org/10.1175/2007JCLI1824.1). Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at https://doi.org/10.5194/essd-8-165-2016). Huang et al. (2020) Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version v02r01, submitted.Climatology is based on 1971-2000 OI.v2 SST. Satellite data: Pathfinder Advanced Very High Resolution Radiometer (AVHRR) SST and Navy AVHRR SST. Ice data: National Centers for Environmental Prediction (NCEP) Ice and Goddard Space Flight Center (GSFC) Ice.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icec (Daily Sea Ice Concentration, percent)


NOAA/NCEI 1/4 Degree Daily Optimum Interpolation SST (OISST) Analysis, Version 2.1, 0.25°, 2017


NOAA/NCEI 1/4 Degree Daily Optimum Interpolation SST (OISST) Analysis, Version 2.1, 0.25°, 2018


NOAA/NCEI 1/4 Degree Daily Optimum Interpolation SST (OISST) Analysis, Version 2.1, 0.25°, 2019


NOAA/NCEI 1/4 Degree Daily Optimum Interpolation SST (OISST) Analysis, Version 2.1, 0.25°, 2020

NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1. Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at https://doi.org/10.1175/2007JCLI1824.1). Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at https://doi.org/10.5194/essd-8-165-2016). Huang et al. (2020) Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version v02r01, submitted.Climatology is based on 1971-2000 OI.v2 SST. Satellite data: Pathfinder Advanced Very High Resolution Radiometer (AVHRR) SST and Navy AVHRR SST. Ice data: National Centers for Environmental Prediction (NCEP) Ice and Goddard Space Flight Center (GSFC) Ice. Data less than 15 days old may be subject to revision.

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


NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1. Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at https://doi.org/10.1175/2007JCLI1824.1). Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at https://doi.org/10.5194/essd-8-165-2016). Huang et al. (2020) Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version v02r01, submitted.Climatology is based on 1971-2000 OI.v2 SST. Satellite data: Pathfinder Advanced Very High Resolution Radiometer (AVHRR) SST and Navy AVHRR SST. Ice data: National Centers for Environmental Prediction (NCEP) Ice and Goddard Space Flight Center (GSFC) Ice. Data less than 15 days old may be subject to revision.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icec (Daily Sea Ice Concentration, percent)


NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1. Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at https://doi.org/10.1175/2007JCLI1824.1). Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at https://doi.org/10.5194/essd-8-165-2016). Huang et al. (2020) Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version v02r01, submitted.Climatology is based on 1971-2000 OI.v2 SST. Satellite data: Pathfinder Advanced Very High Resolution Radiometer (AVHRR) SST and Navy AVHRR SST. Ice data: National Centers for Environmental Prediction (NCEP) Ice and Goddard Space Flight Center (GSFC) Ice. Data less than 15 days old may be subject to revision.

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


NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1. Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at https://doi.org/10.1175/2007JCLI1824.1). Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at https://doi.org/10.5194/essd-8-165-2016). Huang et al. (2020) Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version v02r01, submitted.Climatology is based on 1971-2000 OI.v2 SST. Satellite data: Pathfinder Advanced Very High Resolution Radiometer (AVHRR) SST and Navy AVHRR SST. Ice data: National Centers for Environmental Prediction (NCEP) Ice and Goddard Space Flight Center (GSFC) Ice. Data less than 15 days old may be subject to revision.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
err (Daily Estimated Error Standard Deviation of Analysed_sst, degree_C)


NOAA/NCEI 1/4 Degree Daily Optimum Interpolation SST (OISST) Analysis, Version 2.1, 0.25°, 2021-present


NOAA/NCEI 1/4 Degree Daily Optimum Interpolation SST (OISST) Analysis, Version 2.1, Final [time], 2020-present

NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1 - Final. Best time series, taking the data from the most recent run available. Aggregation of OISST files, not including preliminary files

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time]):
time_run (run times for coordinate = time, seconds since 1970-01-01T00:00:00Z)
time_offset (offset hour from start of run for coordinate = time, seconds since 1970-01-01T00:00:00Z)


NOAA/NCEI 1/4 Degree Daily Optimum Interpolation SST (OISST) Analysis, Version 2.1, Final [time][zlev][lat][lon], 0.25°, 2020-present

NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1 - Final. Best time series, taking the data from the most recent run available. Aggregation of OISST files, not including preliminary files

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][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, percent)


NOAA/NCEI 1/4 Degree Daily Optimum Interpolation SST (OISST) Analysis, Version 2.1, Inter [time], 2021-present

NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1 - Inter. Best time series, taking the data from the most recent run available. Aggregation of preliminary OISST Files

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time]):
time_run (run times for coordinate = time, seconds since 1970-01-01T00:00:00Z)
time_offset (offset hour from start of run for coordinate = time, seconds since 1970-01-01T00:00:00Z)


NOAA/NCEI 1/4 Degree Daily Optimum Interpolation SST (OISST) Analysis, Version 2.1, Inter [time][zlev][lat][lon], 0.25°, 2021-present

NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1 - Inter. Best time series, taking the data from the most recent run available. Aggregation of preliminary OISST Files

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][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, percent)


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

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

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


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

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


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

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

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


NOAA/NCEI 180-m Bathymetry: Mariana Trench

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

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


NOAA/NCEI 90-m Bathymetry: American Samoa

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

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


NOAA/NCEP GHCN CAMS Monthly Temperature (air.mon.mean), 0.5°, 1948-present

NOAA/National Centers for Environmental Prediction (NCEP) Global Historical Climatology Network (GHCN) Climate Anomaly Monitoring System (CAMS) Monthly Temperature (air.mon.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Monthly mean of surface temperature, degK)


NOAA/NCEP Global Forecast System (GFS) Atmospheric Model

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

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


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


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

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

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


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


NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration [time][ygrid][xgrid], 1978-2014

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are processed and combined at National Snow and Ice Data Center (NSIDC) using brightness temperature data from Remote Sensing Systems, Inc. (RSS).  This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from 1987 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the input NASA Team and Bootstrap concentrations for reference and a merged NASA Team/Bootstrap version of the Goddard sea ice concentrations that spans 1978 to the present made available as a longer-term analog of the CDR concentrations. Variables containing standard deviation, quality flags, and projection information are also included. Data are available via FTP.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
seaice_conc_monthly_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)
stdev_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)
melt_onset_day_seaice_conc_monthly_cdr (Monthly Day of Snow Melt Onset Over Sea Ice, 1)
qa_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QC flags)
goddard_merged_seaice_conc_monthly (Goddard Edited Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, Goddard Edited, 1)
goddard_nt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by NASA Team algorithm with Goddard QC, 1)
goddard_bt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm with Goddard QC, 1)

NSIDC > National Snow and Ice Data Center


This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are processed and combined at National Snow and Ice Data Center (NSIDC) using brightness temperature data from Remote Sensing Systems, Inc. (RSS).  This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from 1987 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the input NASA Team and Bootstrap concentrations for reference and a merged NASA Team/Bootstrap version of the Goddard sea ice concentrations that spans 1978 to the present made available as a longer-term analog of the CDR concentrations. Variables containing standard deviation, quality flags, and projection information are also included. Data are available via FTP.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
seaice_conc_monthly_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, 1)
stdev_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)
melt_onset_day_seaice_conc_monthly_cdr (Monthly Day of Snow Melt Onset Over Sea Ice, 1)
qa_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration QC flags)
goddard_merged_seaice_conc_monthly (Goddard Edited Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, Goddard Edited, 1)
goddard_nt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by NASA Team algorithm with Goddard QC, 1)
goddard_bt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm with Goddard QC, 1)


NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration [ygrid][xgrid]

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are processed and combined at National Snow and Ice Data Center (NSIDC) using brightness temperature data from Remote Sensing Systems, Inc. (RSS).  This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from 1987 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the input NASA Team and Bootstrap concentrations for reference and a merged NASA Team/Bootstrap version of the Goddard sea ice concentrations that spans 1978 to the present made available as a longer-term analog of the CDR concentrations. Variables containing standard deviation, quality flags, and projection information are also included. Data are available via FTP.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [ygrid][xgrid]):
latitude (degrees_north)
longitude (degrees_east)


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

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

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


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

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

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


NOAA/PIBHMC 10-m Bathymetry: CNMI: Agrihan

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

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


NOAA/PIBHMC 10-m Bathymetry: CNMI: Alamagan

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

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


NOAA/PIBHMC 10-m Bathymetry: CNMI: Asuncion

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

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


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

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

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


NOAA/PIBHMC 10-m Bathymetry: CNMI: Guguan

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

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


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

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


NOAA/PIBHMC 10-m Bathymetry: CNMI: Pagan

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

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


NOAA/PIBHMC 10-m Bathymetry: CNMI: Sarigan

A 10-m resolution gridded digital elevation model (DEM) for the bathymetry (ocean depth) surrounding Sarigan Island in the Commonwealth of the Northern Mariana Islands (CNMI) compiled from ship-borne multibeam sonar surveys merged with coastal bathymetry derived from multipectral WorldView-2 (WV-2) satellite data. Almost complete bottom coverage was achieved in depths between 0 and 800 m. Data collected by the Pacific Islands Benthic Habitat Mapping Center (PIBHMC) in support of NOAA's Coral Reef Conservation Program. Not to be used for navigational purposes. For a grayscale hillshade image layer of this dataset, see "mp_pibhmc_sar_bathy10m_hillshade" in the distribution links listed in the metadata. For further details about this dataset, please see: https://www.soest.hawaii.edu/pibhmc/cms/data-by-location/cnmi-guam/sarigan-island/.

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