33 datasets

NASA Earthdata CMR + NASA Data Portal2025 · Image data

This dataset contains the curl and divergence of ocean surface equivalent neutral wind and wind stress, derived from satellite-based scatterometer observations aboard QuikScat, representing the first science quality release of these data funded under the MEaSUREs program. This product from QuikScat has been intercalibrated with similar scatterometer measurements from instruments on the MetOp-A, Me

NASA Earthdata CMR + NASA Data Portal2025 · Image data

This dataset contains gridded ocean surface wind vectors (equivalent neutral and true 10m) and wind stress vectors derived from satellite-based scatterometer observations aboard QuikScat, representing the first science quality release of these data funded under the MEaSUREs program. This product from QuikScat has been intercalibrated with similar scatterometer measurements from instruments on the

NASA Earthdata CMR + NASA Data Portal2025 · Image data

This dataset contains model output interpolated in space and time to the ESDR product from the scatterometer on the QuikSCAT satellite, representing the first science quality release of these data (post-provisional after v1.0) funded under the MEaAUREs program. These auxiliary fields are included to complement the scatterometer observations, specifically for the QUIKSCAT_ESDR_L2_WIND_STRESS_V1.1 d

NASA Earthdata CMR + NASA Data Portal2025 · Image data

This dataset contains ocean surface wind vectors (equivalent neutral and true 10m) and wind stress vectors derived from satellite-based scatterometer observations aboard QuikScat, representing the first science quality release of these data (post-provisional after v1.0) funded under the MEaAUREs program. This product from QuikScat has been intercalibrated with similar scatterometer measurements fr

NASA Earthdata CMR + NASA Data Portal2024 · Image data

This data set contains a monthly-mean, 0.25 degree resolution, near-global gridded analysis of ocean surface winds (wind speed, components, and anomalies) from the Cross-Calibrated Multi-Platform (CCMP) project. CCMP is a combination of inter-calibrated 10 m ocean surface wind retrievals from multiple types of satellite microwave sensors and a background field from reanalysis. The wind retrievals

NASA Earthdata CMR + NASA Data Portal2024 · Image data

This data set contains a 6-hourly, 0.25 degree resolution, near-global gridded analysis of ocean surface vector winds from the Cross-Calibrated Multi-Platform (CCMP) project, produced by Remote Sensing Systems (RSS). CCMP is a combination of inter-calibrated 10 m ocean surface wind retrievals from multiple types of satellite microwave sensors and a background field from reanalysis. The wind retrie

NASA Earthdata CMR2022 · Raster · GeoTIFF

The Global Monthly and Seasonal Urban and Land Backscatter Time Series, 1993-2020, is a multi-sensor, multi-decadal, data set of global microwave backscatter, for 1993 to 2020. It assembles data from C-band sensors onboard the European Remote Sensing Satellites (ERS-1 and ERS-2) covering 1993-2000, Advanced Scatterometer (ASCAT) onboard EUMETSAT satellites for 2007-2020, and the Ku-band sensor onb

NASA Earthdata CMR + NASA Data Portal2022 · Image data

Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are

NASA Earthdata CMR + NASA Data Portal2022 · Image data

Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are

NASA Earthdata CMR + NASA Data Portal2022 · Image data

Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are

NASA Earthdata CMR + NASA Data Portal2020 · Image data

This dataset contains the latest reprocessed version 4.1 of the Level 2B science-quality ocean surface wind vector retrievals from the QuikSCAT scatterometer. The retrievals are provided on a non-uniform grid within the swath at 12.5 km pixel resolution. Higher resolution is achieved through a slice composite technique in which high resolution slice measurements from L1B data are composited into a

NASA Earthdata CMR2019 · collection

ADAM enables generating typical monthly variations of the global Earth surface reflectance at 0.1° spatial resolution (Plate Carree projection) and over the spectral range 240-4000nm. The ADAM product is made of gridded monthly mean climatologies over land and ocean surfaces, and of a companion API toolkit that enables the calculation of hyperspectral (at 1 nm resolution over the whole 240-4000 nm

NASA Earthdata CMR + NASA Data Portal2019 · Image data

This dataset is Version 2 of the geo-located and averaged Level 1B Sigma-0 measurements and wind retrievals from the SeaWinds on QuikSCAT platform, initiated in the months following the failure of the rotating antenna motor on 22 November 2009, using the various incidence angles at which QuikSCAT was pointed during the time period from November 2009 until present. Incidence angles were varied in o

NASA Earthdata CMR + NASA Data Portal2016 · Image data

This dataset contains the latest reprocessed version 3.1 of the Level 2B science-quality ocean surface wind vector retrievals from the QuikSCAT scatterometer. The retrievals are provided on a non-uniform grid within the swath at 12.5 km pixel resolution. Higher resolution is achieved through a slice composite technique in which high resolution slice measurements from L1B data are composited into a

NASA Earthdata CMR + NASA Data Portal2013 · Astronomical catalogue

This data set includes data collected over the Soil Moisture Experiment 2003 (SMEX03) areas of Alabama, Georgia, and Oklahoma, USA.

NASA Earthdata CMR + NASA Data Portal2013 · Astronomical catalogue

This data set includes data collected over the Soil Moisture Experiment 2003 (SMEX03) areas of Alabama, Georgia, Oklahoma, USA , and Brazil.

NASA Earthdata CMR + NASA Data Portal2013 · Astronomical catalogue

This data set provides sea ice extent for the Arctic (60-90 degrees North) and Antarctic (52-90 degrees South) in Scatterometer Image Reconstruction (SIR) binary image format, along with ASCII text files containing latitude and longitude coordinates along the sea ice edge, and browse images of SIR files in Graphics Interchange Format (GIF) format. Ancillary products include daily-averaged total se

NASA Earthdata CMR + NASA Data Portal2013 · Image data

This dataset contains the latest reprocessed version 3 of the Level 2B science-quality ocean surface wind vector retrievals from the QuikSCAT scatterometer. The retrievals are provided on a non-uniform grid within the swath at 12.5 km pixel resolution. Higher resolution is achieved through a slice composite technique in which high resolution slice measurements from L1B data are composited into a 1

NASA Earthdata CMR + NASA Data Portal2010 · Astronomical catalogue

Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains the following spatially and temporally co-registered data: Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) brightness tem

NASA Earthdata CMR + NASA Data Portal2010 · Astronomical catalogue

Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set includes radar backscatter data collected over the Soil Moisture Experiment 2005 (SMEX05) area of Iowa, USA. The SeaWinds scatterometer on the NASA Quick S

NASA Earthdata CMR + NASA Data Portal2008 · Astronomical catalogue

This data set includes data collected by the SeaWinds scatterometer on NASA's Quick Scatterometer (QuikSCAT) satellite collected backscatter data.

NASA Earthdata CMR + NASA Data Portal2008 · Astronomical catalogue

This data set includes data collected over the Soil Moisture Experiment 2003 (SMEX03) areas of Alabama, Georgia, and Oklahoma, USA, and Brazil. The SeaWinds scatterometer on NASA's Quick Scatterometer (QuikSCAT) satellite collected backscatter data.

NASA Earthdata CMR + NASA Data Portal2006 · Image data

The SeaWinds on QuikSCAT Level 1B dataset contains the geo-located Sigma-0 measurements and antenna pulse "egg" and "slice" geometries as derived from ephemeris and the Level 1A dataset. The pulse "egg" represents the complete footprint of the pulse, which has a spatial geometry of approximately 25 km by 35 km. There are 8 slices that constitute the range-binned components of a pulse each of which

NASA Earthdata CMR + NASA Data Portal2004 · Astronomical catalogue

This data set includes data collected over the Soil Moisture Experiment 2002 (SMEX02) area of Iowa, USA, during June and August, 2002.

NASA Earthdata CMRArray ·

This dataset consists of twelve variables for global seasonal cycles of the wind and wind stress fields estimated from the 10-year record (September 1999 - October 2009) of wind measurements by the NASA QuikSCAT scatterometer. Seasonal cycles for these variables were estimated using harmonic analysis where each multi-year time series of monthly means was fitted to a nine-parameter regression model