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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,268 datasets
ECCO Version 4 Release 4 provides monthly-averaged ocean and sea-ice surface freshwater fluxes on a global 1-degree model grid. The dataset is a dynamically consistent state estimate from NASA, constrained by satellite and in-situ observations including altimetry, sea surface temperature, salinity, and ice concentration. It covers a 26-year period from January 1992 to January 2018.
1992-01-01 to 2018-01-01 daily-averaged ocean and sea-ice surface stress data on the native LLC90 grid from the ECCO Version 4 Release 4 state estimate. The dataset is produced by NASA and provides a dynamically consistent reconstruction of ocean and sea-ice states, constrained by multiple satellite and in-situ observations including altimetry, sea surface temperature, and salinity.
Daily-averaged ocean and sea-ice surface stress data interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 state estimate. The dataset is a dynamically consistent reconstruction produced by NASA, covering the 26-year period from 1992-01-01 to 2018-01-01. It assimilates observations from multiple satellite altimeters, radiometers, scatterometers, gravimeters, and in-situ oceanographic programs.
1992-01-01 to 2018-01-01 monthly-averaged ocean bottom pressure data interpolated to a regular 0.5-degree grid. The dataset is a dynamically consistent state estimate from the MIT general circulation model, produced by NASA and constrained by multiple satellite and in-situ observations. It covers a 26-year period.
Global ocean data provides daily-averaged density, stratification, and hydrostatic pressure on the native Lat-Lon-Cap 90 (LLC90) model grid. The ECCO Version 4 Release 4 state estimate is a dynamically consistent reconstruction from NASA, covering the period from 1992-01-01 to 2018-01-01. It assimilates observations from satellite altimeters, radiometers, gravimeters, and in-situ instruments like Argo floats.
Monthly-averaged ocean density, stratification, and hydrostatic pressure interpolated to a regular 0.5-degree global grid. The data is a dynamically consistent reconstruction from the ECCO Version 4 revision 4 ocean and sea-ice state estimate, produced by NASA. It covers a 26-year period from January 1992 to January 2018.
Daily-averaged ocean bottom pressure and anomaly data on the native Lat-Lon-Cap 90 grid from the ECCO Version 4 Release 4 ocean and sea-ice state estimate. The dataset is a dynamically consistent reconstruction produced by NASA, covering a 26-year period from 1992-01-01 to 2018-01-01. It assimilates observations from multiple satellite missions and in-situ programs including altimetry, gravimetry, and temperature/salinity profiles.
ECCO Version 4 Release 4b provides a 26-year reconstruction of daily-averaged ocean bottom pressure on a specialized 1-degree global grid. This NASA state estimate combines a free-running MITgcm simulation with constraints from multiple satellite and in-situ observations, including altimetry, gravimetry, and sea surface temperature. The dataset spans from 1992-01-01 to 2018-01-01, offering a dynamically consistent view of ocean and sea-ice states.
Daily-averaged ocean mixed layer depth interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 ocean and sea-ice state estimate. The dataset is a dynamically consistent reconstruction of the three-dimensional ocean state, fit to multiple satellite and in-situ observations. It covers the period from 1992-01-01 to 2018-01-01 and was produced by NASA.
1992-01-01 to 2018-01-01 daily-averaged ocean potential temperature and salinity data on the native Lat-Lon-Cap 90 (LLC90) model grid. This dataset is part of the ECCO Version 4 Release 4 ocean and sea-ice state estimate, a dynamically consistent reconstruction produced by NASA. The model solution is constrained by multiple satellite and in-situ observations including altimetry, sea surface temperature, and salinity measurements.
ECCO Version 4 Release 4 provides monthly-averaged ocean mixed layer depth interpolated to a regular 0.5-degree grid. The dataset is a dynamically consistent state estimate produced by NASA, covering the period from January 1992 to January 2018. It assimilates observations from satellite altimeters, radiometers, gravimeters, and in-situ oceanographic instruments.
Monthly-averaged ocean potential temperature and salinity data interpolated to a regular 0.5-degree grid. The dataset is a dynamically consistent state estimate from the ECCO V4r4 project, covering the period from 1992-01-01 to 2018-01-01. National Aeronautics and Space Administration produced this reconstruction by fitting a global ocean model to multiple satellite and in-situ observations.
Monthly-averaged ocean bottom pressure and pressure anomaly data on the native Lat-Lon-Cap 90 grid from the ECCO Version 4 Release 4b ocean and sea-ice state estimate. The dataset is a dynamically consistent reconstruction produced by NASA, covering the period from January 1992 to January 2018. It assimilates observations from multiple satellite missions and in-situ programs.
ECCO Version 4 Release 4 provides monthly-averaged, three-dimensional ocean momentum tendency data on a 1-degree global LLC90 grid. NASA's state estimate combines a free-running MITgcm simulation with a least-squares fit to multiple observational constraints, including satellite altimetry, sea surface temperature, and in-situ profiles. The dataset covers a 26-year period from January 1992 to January 2018.
1992-01-01 to 2018-01-01 monthly-averaged three-dimensional ocean salinity fluxes on the LLC90 grid from the ECCO Version 4 Release 4 state estimate. The dataset is a dynamically consistent reconstruction produced by NASA, fitting a 1-degree MITgcm model to a wide array of satellite and in-situ observations. Observational constraints include satellite altimetry, sea surface temperature and salinity, ocean bottom pressure, sea ice concentration, and in-situ temperature/salinity profiles.
ECCO Version 4 Release 4 provides daily-averaged three-dimensional potential temperature fluxes on the LLC90 model grid. This NASA state estimate is a dynamically consistent reconstruction of ocean and sea-ice states from 1992 to 2017. The model is constrained by observations from satellite altimeters, radiometers, gravimeters, and in-situ programs like Argo and GO-SHIP.
ECCO Version 4 Release 4 provides daily-averaged ocean velocity data on the native Lat-Lon-Cap 90 grid. This dynamically consistent ocean and sea-ice state estimate from NASA covers the period from 1992-01-01 to 2018-01-01. The reconstruction assimilates multiple observational constraints including satellite altimetry, sea surface temperature, salinity, and in-situ ocean profiles.
Global daily-averaged ocean velocity data interpolated to a regular 0.5-degree grid. The dataset is a dynamically consistent state estimate from the ECCO V4r4 project, produced by NASA, covering the period from 1992-01-01 to 2018-01-01. It is constrained by multiple satellite and in-situ observations including sea surface height, temperature, salinity, and ice concentration.
Daily-averaged three-dimensional ocean salinity fluxes on the native LLC90 grid from the ECCO Version 4 Release 4 state estimate. The dataset is a dynamically consistent reconstruction from the MITgcm, constrained by satellite and in-situ observations including altimetry, sea surface temperature, salinity, and ocean bottom pressure. It covers a 26-year period from 1992-01-01 to 2018-01-01.
ECCO Version 4 Release 4b provides a 26-year, hourly reconstruction of global ocean and sea-ice states from 1992 to 2018. The National Aeronautics and Space Administration produced this state estimate by fitting a 1-degree global MITgcm model to multiple observational constraints. These constraints include satellite altimetry, sea surface temperature and salinity, ocean bottom pressure, sea ice concentration, and in-situ temperature and salinity profiles.