Loading...
Loading...
Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,268 datasets
Daily-averaged dynamic sea surface height and model sea level anomaly data on the native LLC90 grid from the ECCO Version 4 Release 4b ocean and sea-ice state estimate. The dataset is a free-running solution of the MITgcm model fit to observations from multiple satellite and in-situ programs. It covers the period from 1992-01-01 to 2018-01-01 and was produced by the National Aeronautics and Space Administration.
1992-01-01 to 2018-01-01 of daily-averaged dynamic sea surface height interpolated to a regular 0.5-degree grid. The data is from the ECCO Version 4 revision 4 ocean and sea-ice state estimate, a dynamically consistent reconstruction produced by NASA. It assimilates observations from multiple satellite altimeters and in-situ programs.
Instantaneous dynamic sea surface height and model sea level anomaly data on the native LLC90 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 the period from 1992-01-01 to 2018-01-01. It assimilates observations from multiple satellite altimeters, radiometers, gravimeters, and in-situ oceanographic programs.
Daily-averaged sea-ice and snow concentration and thickness data interpolated to a 0.5-degree grid. The dataset is a dynamically consistent ocean and sea-ice state estimate produced by NASA's ECCO project, covering the period from 1992 to 2017. It assimilates observations from multiple satellite altimeters, radiometers, scatterometers, gravimeters, and in-situ oceanographic instruments.
ECCO Version 4 Release 4 provides a dynamically consistent reconstruction of sea-ice and snow conditions on a global LLC90 grid. The dataset includes instantaneous fields for concentration, thickness, and pressure loading, constrained by satellite and in-situ observations. It covers the period from 1992-01-01 to 2018-01-01 and was produced by NASA using the MIT general circulation model.
ECCO Version 4 Release 4 provides a 26-year reconstruction of global ocean and sea-ice states from 1992 to 2017. The dataset combines a 1-degree global MITgcm model with observations from satellite altimeters, radiometers, gravimeters, and in-situ sensors. NASA produced this monthly-averaged, 0.5-degree gridded product of sea-ice and snow concentration and thickness.
Daily-averaged sea-ice and snow horizontal volume fluxes on the LLC90 grid from the ECCO Version 4 Release 4 ocean and sea-ice state estimate. The ECCO V4r4 reconstruction is a free-running solution of the MITgcm fit to observations from satellite altimeters, radiometers, gravimeters, and in-situ programs. It covers the period from 1992-01-01 to 2018-01-01.
Monthly-averaged sea-ice salt plume fluxes on the native LLC90 model grid from the ECCO Version 4 Release 4 ocean and sea-ice state estimate. The dataset is a dynamically consistent reconstruction spanning 26 years from 1992-01-01 to 2018-01-01, produced by NASA. Observational constraints include satellite altimetry, sea surface temperature and salinity, ocean bottom pressure, sea ice concentration, and in-situ temperature and salinity profiles.
Global daily-averaged sea-ice velocity data on the native Lat-Lon-Cap 90 grid, produced by the ECCO Version 4 Release 4 ocean and sea-ice state estimate. The dataset is a dynamically consistent reconstruction from NASA, covering the period from 1992-01-01 to 2018-01-01. It assimilates observations from multiple satellite missions and in-situ programs including altimeters, radiometers, and conductivity-temperature-depth sensors.
1992-01-01 to 2018-01-01 monthly-averaged sea-ice velocity data interpolated to a regular 0.5-degree grid. The dataset is produced by NASA's Estimating the Circulation and Climate of the Ocean (ECCO) project, a dynamically consistent state estimate. It is derived from a model fit to multiple observational sources including satellite altimeters, radiometers, gravimeters, and in-situ ocean measurements.
ECCO Version 4 Release 4 provides a 26-year reconstruction of instantaneous sea-ice velocity on a specialized 1-degree global grid. This state estimate from NASA combines a free-running MIT general circulation model with constraints from multiple satellite and in-situ observations. The dataset covers the period from 1992-01-01 to 2018-01-01, offering a dynamically consistent view of ocean and sea-ice states.
Global ocean bolus velocity data on a 0.5-degree grid, averaged daily. The dataset is a dynamically consistent reconstruction from the ECCO Version 4 Release 4 state estimate, produced by NASA. It covers a 26-year period from 1992-01-01 to 2018-01-01.
Ancillary data for the ECCO Version 4 Release 4 ocean and sea-ice state estimate, produced by NASA. The dataset includes documentation, model initialization files, forcing fields, observational constraints, and scripts. The state estimate is a dynamically consistent reconstruction of the global, three-dimensional ocean and sea-ice state, fit to observations from multiple satellite missions and in-situ programs.
Global monthly-averaged atmosphere surface temperature, humidity, wind, and pressure interpolated to a 0.5-degree grid. The data is a dynamically consistent reconstruction from the ECCO Version 4 Release 4 ocean and sea-ice state estimate produced by NASA. It covers the period from 1992-01-01 to 2018-01-01.
Monthly-averaged Gent-McWilliams ocean bolus 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 January 1992 to January 2018. It synthesizes observations from multiple satellite altimeters, radiometers, gravimeters, and in-situ oceanographic instruments.
ECCO Version 4 Release 4 provides geometric parameters for the lat-lon-cap 90 native model grid, including cell areas, coordinates, and masks. This state estimate is a dynamically consistent reconstruction of the global ocean, sea-ice, and surface atmosphere, fit to observations from satellites and in-situ programs. The dataset covers the period from 1992-01-01 to 2018-01-01.
ECCO Version 4 Release 4 provides a 26-year monthly reconstruction of Gent-McWilliams ocean bolus velocity on a 1-degree global grid. NASA's state estimate combines a dynamical ocean model with observations from satellite altimeters, radiometers, gravimeters, and in-situ instruments. The dataset covers the period from January 1992 to January 2018.
Global ocean state estimate data provides three-dimensional, time-invariant coefficients for Gent-McWilliams and Redi parameterizations and background vertical diffusivity on the lat-lon-cap 90 native model grid. The dataset is a product of the ECCO V4r4 optimization, which fits a 1-degree MITgcm model to observations from 1992 to 2017. Observational constraints include satellite altimetry, sea surface temperature and salinity, ocean bottom pressure, sea ice concentration, and in-situ temperature and salinity profiles.
1992-01-01 to 2018-01-01 daily-averaged ocean bottom pressure data interpolated to a regular 0.5-degree grid. This dataset is part of the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate, a dynamically consistent reconstruction produced by NASA. The state estimate combines a global MITgcm model run with observations from satellite altimeters, radiometers, gravimeters, and in-situ instruments.
ECCO Version 4 Release 4 provides a 26-year reconstruction of ocean and sea-ice surface stress, interpolated to a regular 0.5-degree grid. This dataset is a dynamically consistent state estimate produced by NASA, combining a free-running MITgcm simulation with a wide array of satellite and in-situ observations. The reconstruction spans from January 1992 to January 2018, constrained by data from altimeters, radiometers, gravimeters, and oceanographic programs like Argo and GO-SHIP.