OpenSearch

Using the NASA EOSDIS Common Metadata Repository

Collection Search

  • ADAM Surface Reflectance Database v4.0

    https://cmr.earthdata.nasa.gov/search/concepts/C1965336812-ESA.xml
    Description:

    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 spectral range) and multidirectional reflectances (i.e. in any illumination/viewing geometry) depending on user choices. The ADAM climatologies that feed the ADAM calculation tools are: For ocean: monthly chlorophyll concentration derived from SeaWiFS-OrbView-2 (1999-2009); it is used to compute the water column reflectance (which shows large spectral variations in the visible, but is insignificant in the near and mid infrared). monthly wind speed derived from SeaWinds-QuikSCAT-(1999-2009); it is used to calculate the ocean glint reflectance. For land: monthly normalized surface reflectances in the 7 MODIS narrow spectral bands derived from FondsdeSol processing chain of MOD09A1 products (derived from Aqua and Terra observations), on which relies the modelling of the hyperspectral/multidirectional surface (soil/vegetation/snow) reflectance. uncertainty variance-covariance matrix for the 7 spectral bands associated to the normalized surface reflectance. For sea-ice: Sea ice pixels (masked in the original MOD09A1 products) have been accounted for by a gap-filling approach relying on the spatial-temporal distribution of sea ice coverage provided by the CryoClim climatology for year 2005.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -90 -180 90 180

    ESA Short Name: ADAM.Surface.Reflectance.Database Version ID: NA Unique ID: C1965336812-ESA

  • Co-Registered AMSR-E, QuikSCAT, and WMO Data, Version 1

    https://cmr.earthdata.nasa.gov/search/concepts/C1386250555-NSIDCV0.xml
    Description:

    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 temperatures for all channels; Quick Scatterometer (QuikSCAT) backscattering coefficients; and World Meteorological Organization (WMO) ground observations acquired from more than two thousand stations. There is a large, increasing interest in the potential arising from the combination of active and passive microwave data for the extraction of geophysical parameters from spaceborne platforms. Often, one of the major obstacles is the generation of spatially and temporally co-registered data sets for testing hypotheses, validating models, and developing retrieval approaches. The temporal coverage of this data set spans from 01 January 2002 through 19 March 2009 with AMSR-E data included for the 19 June 2002 through 19 March 2009 time period. The volume of the data set is approximately two gigabytes. Data are provided in tab-delimited ASCII text files and are available via FTP.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 30.667 -179.83301 79.55 180

    NSIDCV0 Short Name: NSIDC-0450 Version ID: 1 Unique ID: C1386250555-NSIDCV0

  • Cross-Calibrated Multi-Platform Ocean Surface Wind Velocity, 1987 - ongoing

    https://cmr.earthdata.nasa.gov/search/concepts/C1214110957-SCIOPS.xml
    Description:

    The Cross-Calibrated Multi-Platform (CCMP) data product is derived through cross-calibration and assimilation of ocean surface wind data from SSM/I, TMI, AMSR-E, SeaWinds on QuikSCAT, and SeaWinds on ADEOS-II. Cross calibration is performed by Remote Sensing Systems (RSS) under the DISCOVER project [http://www.remss.com/]. These data sets are combined with conventional observations and a starting estimate of the wind field using a variational analysis method (VAM). The ECMWF Reanalysis (ERA-40) is used as the starting estimate (or background) for July 1987 until December 1998 and the ECMWF Operational Analysis is used from January 1999 onward. CCMP is provided by the NASA PO.DAAC and has been evaluated and utilized extensively by the science community, including some members of NASA's Ocean Vector Winds Science Team (OVWST).

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -78.375 -180 78.375 180

    SCIOPS Short Name: NCAR_DS744.9 Version ID: Not provided Unique ID: C1214110957-SCIOPS

  • Data from the Scatterometer Climate Record Pathfinder

    https://cmr.earthdata.nasa.gov/search/concepts/C1214611941-SCIOPS.xml
    Description:

    Enhanced resolution sigma-0 image data from various historic and present radar scatterometers along with derived products such as sea ice extent, sea ice motion, improved ambiguity selection, melt onset, etc.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -90 -180 90 180

    SCIOPS Short Name: Scatt_Climate_Record_Pathfinder Version ID: Not provided Unique ID: C1214611941-SCIOPS

  • Dynamics and Chemistry of Marine Stratocumulus Phase II (DYCOMS-II) at UCAR/JOSS/NOAA/CODIAC

    https://cmr.earthdata.nasa.gov/search/concepts/C1214611764-SCIOPS.xml
    Description:

    DYCOMS-II is the name given to a field campaign which collected data for the purposes of testing large-eddy simulations of nocturnal stratocumulus. The experiment consisted of nine flights out of North Island Naval Air Station (just west of San Diego) between July 7 and July 28, 2001.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 26 -127 37 -115

    SCIOPS Short Name: DYCOMS2_UCAR_JOSS_NOAA_CODIAC Version ID: Not provided Unique ID: C1214611764-SCIOPS

  • Freeze-Thaw Earth System Data Record

    https://cmr.earthdata.nasa.gov/search/concepts/C1214591384-SCIOPS.xml
    Description:

    NASA's Freeze/Thaw Earth System Data Record (FT-ESDR) Web Interface is a NASA MEaSUREs (Making Earth System Data Records for Use in Research Environments) funded effort to provide a consistent long-term global data record of land surface freeze/thaw (FT) state dynamics for all vegetated regions where low temperatures are a major constraint to ecosystem processes. The FT measurement is derived from temporal change classification of global satellite microwave remote sensing time series, including passive microwave radiometry from the Special Sensor Microwave Imager (SSM/I) and Advanced Microwave Scanning Radiometer for EOS (AMSR-E), and radar scatterometry from SeaWinds-on-QuikSCAT. The ecological significance and basis of the FT measurement from satellite microwave remote sensing is summarized in the literature (e.g., see "Relevant Publications" section below). The FT-ESDR is designed to: 1) distinguish FT heterogeneity in accordance with mesoscale climate and landscape topographic features; 2) establish biophysical linkages between FT processes and vegetation productivity, respiration and associated land-atmosphere carbon exchange; 3) distinguish FT dynamics in accordance with episodic weather events, annual anomalies, periodic climate cycles and long-term climate change trajectories." [Summary provided by the University of Montana.]

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -90 -180 90 180

    SCIOPS Short Name: UMT_NTSG_FREEZETHAW Version ID: Not provided Unique ID: C1214591384-SCIOPS

  • Global improved QuikSCAT weekly wind speed data and climatologies for 1999-2004 (NCEI Accession 0177404)

    https://cmr.earthdata.nasa.gov/search/concepts/C2089377223-NOAA_NCEI.xml
    Description:

    This accession contains an improved QuikSCAT weekly wind data set for coastal and high latitude applications, and associated climatologies. This data set includes land and sea ice mask information adapted from the AVHRR Pathfinder sea surface temperature (SST) v5.0 and the Optimally Interpolated SST version 2 data sets, respectively. Additionally, near shore pixels originally contaminated by backscatter from land have been filled by several methods, including simple median filling, an inverse-distance weighted mean, and an objective analysis technique that considers the spatial structure of the wind speed data. The gap filling methods and QuikSCAT wind speed data were then evaluated by comparing with in situ wind speed measurements taken from near shore and open ocean buoys and marine weather stations. These data are in .HDF format identified by Julian date.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -90 -180 90 180

    NOAA_NCEI Short Name: gov.noaa.nodc:0177404 Version ID: Not Applicable Unique ID: C2089377223-NOAA_NCEI

  • Global Monthly and Seasonal Urban and Land Backscatter Time Series, 1993-2020

    https://cmr.earthdata.nasa.gov/search/concepts/C2492953186-SEDAC.xml
    Description:

    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 onboard the QuikSCAT satellite for 1999-2009, onto a common spatial grid (0.05 degree latitude /longitude resolution) and time step (both monthly and seasonal). Data are provided for all land (except high latitudes and islands), and for urban grid cells, based on a specific masking that removes grid cells with > 50% open water or < 20% built land. The all-land data allows users to choose and evaluate other urban masks. There is an offset between C-band and Ku-band backscatter from both vegetated and urban surfaces that is not spatially constant. There is a strong linear correlation (overall R-squared value = 0.69) between 2015 ASCAT urban backscatter and a continental-scale gridded product of building volume, across 8,450 urban grid cells (0.05 degree resolution) from large cities in Europe, China, and the United States.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -90 -180 90 180

    SEDAC Short Name: CIESIN_SEDAC_USPAT_BSCATTER_1993_2020 Version ID: 1.00 Unique ID: C2492953186-SEDAC

  • NASA SCP Arctic and Antarctic Ice Extent from QuikSCAT, 1999-2009, Version 2

    https://cmr.earthdata.nasa.gov/search/concepts/C1386250250-NSIDCV0.xml
    Description:

    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 sea ice extent in ASCII format. Estimates of sea ice extent were produced from daily-averaged QuikSCAT sigma-0 measurements and extend from 19 July 1999 to 31 December 2009. QuikSCAT obtains 12 individual radar normalized backscatter (sigma-0) measurements, called slices, for each footprint as it scans over a 1800 km wide swath. Slices are typically 4 to 6 km long by 20 km wide. The summed measurements of the slices are called egg measurements. The effective resolution and shape of each egg measurement is approximately 20 by 30 km, depending on the antenna beam and instrument mode. This data set contains both slice and egg images for each day. The Microwave Earth Remote Sensing (MERS) group at Brigham Young University (BYU) developed a SIR-with-filtering (SIRF) algorithm that combines forward- and aft-looking sigma-0 measurements to produce enhanced-resolution backscatter images over various azimuth angles. The polarization ratio, incidence angle dependence, and the sigma-0 estimate error standard deviation were used to discriminate between sea ice and ocean. Sea ice extent was estimated for both slice and egg images. The nominal pixel resolution of the slice images is 2.225 km with an estimated effective resolution of approximately 4 km. Egg images have a nominal pixel resolution of 4.45 km with an estimated effective resolution of approximately 8 to 10 km. Data and browse images are available via FTP, along with C, Fortran, and Interactive Data Language (IDL) tools to read and display the SIR images.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 60 -180 90 180

    NSIDCV0 Short Name: NSIDC-0265 Version ID: 2 Unique ID: C1386250250-NSIDCV0

  • Ocean Surface Current Analyses Real-time (OSCAR) Surface Currents - Final 0.25 Degree (Version 2.0)

    https://cmr.earthdata.nasa.gov/search/concepts/C2098858642-POCLOUD.xml
    Description:

    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 provided on a global 0.25 x 0.25 degree grid as an average over an assumed well-mixed top 30 m of the ocean from 1993 to present day. OSCAR currents are provided at three quality levels: final, interim and nrt with a respective latency of each of approximately 1 year, 1 month, and 2 days. OSCAR is generated by Earth & Space Research (ESR) https://www.esr.org/research/oscar/. More details on the source datasets, file structure, and methodology can be found in oscarv2guide.pdf.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -89.75 -180 89.75 180

    POCLOUD Short Name: OSCAR_L4_OC_FINAL_V2.0 Version ID: 2.0 Unique ID: C2098858642-POCLOUD