OpenSearch

Using the NASA EOSDIS Common Metadata Repository

Collection Search

  • ADT - Absolute Dynamic Topography

    https://cmr.earthdata.nasa.gov/search/concepts/C1214586177-SCIOPS.xml
    Description:

    Contents: along-track sea surface heights above geoid; dynamic topography is the sum of sea level anomaly (SLA) and mean dynamic topography (MDT, Rio05 here) Use: study of the general circulation (ocean gyres ...) The data are global mono altimeter satellite products, homogeneous with other satellites, available in near-real time and in delayed time in NetCDF format. In delayed time, two types of products are available: - "Ref" (Reference) series: homogeneous datasets based on two satellites (Topex/Poseidon, Jason-1 + ERS, Envisat) with the same groundtrack. Sampling is stable in time. - "Upd" (Updated) series: up-to-date datasets with up to four satellites at a given time (adding GFO and/or Topex/Poseidon on its new orbit). Sampling and Long Wavelength Errors determination are improved, but quality of the series is not homogeneous. Regional products with an improved quality are available in local areas ("http://www.aviso.oceanobs.com/html/donnees/produits/hauteurs/regional/")

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    Minimum Bounding Rectangle: -90 -180 90 180

    SCIOPS Short Name: AVISO_ADT Version ID: Not provided Unique ID: C1214586177-SCIOPS

  • AVISO Level 4 Absolute Dynamic Topography for Climate Model Comparison

    https://cmr.earthdata.nasa.gov/search/concepts/C2617226203-POCLOUD.xml
    Description:

    This dataset contains absolute dynamic topography (similar to sea level but with respect to the geoid) binned and averaged monthly on 1 degree grids. The coverage is from October 1992 to December 2010. These data were provided by AVISO (French space agency data provider) to support the CMIP5 (Coupled Model Intercomparison Project Phase 5) under the World Climate Research Program (WCRP) and was first made available via the JPL Earth System Grid. The dynamic topography are derived from sea surface height measured by several satellites including Envisat, TOPEX/Poseidon, Jason-1 and OSTM/Jason-2, and referenced to the geoid. Along with this dataset, two additional ancillary data files are included in the same directory which contain the number of observations and standard error co-located on the same 1 degree grids.

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    Minimum Bounding Rectangle: -90 -180 90 180

    POCLOUD Short Name: AVISO_L4_DYN_TOPO_1DEG_1MO Version ID: 1 Unique ID: C2617226203-POCLOUD

  • AVISO Level 4 Absolute Dynamic Topography for Climate Model Comparison Number of Observations

    https://cmr.earthdata.nasa.gov/search/concepts/C3234112266-POCLOUD.xml
    Description:

    These data are the numer of observations used to generate the AVISO Level 4 Absolute Dynamic Topography for Climate Model Comparison Number of Observations data set (PO.DAAC Drive at https://podaac-tools.jpl.nasa.gov/drive/files/allData/aviso/L4/abs_dynamic_topo ). This data set is not meant to be used alone, but with the absolute dynamic topography data. These data were generated to help support the CMIP5 (Coupled Model Intercomparison Project Phase 5) portion of PCMDI (Program for Climate Model Diagnosis and Intercomparison). The dynamic topograhy are from sea surface height measured by several satellites, Envisat, TOPEX/Poseidon, Jason-1 and OSTM/Jason-2 and referenced to the geoid. These data were provided by AVISO (French space agency data provider), which are based on a similar dynamic topography data set they already produce( http://www.aviso.oceanobs.com/index.php?id=1271 ).

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    Minimum Bounding Rectangle: -90 -180 90 180

    POCLOUD Short Name: AVISO_L4_DYN_TOPO_1DEG_1MO_NOB Version ID: 1 Unique ID: C3234112266-POCLOUD

  • AVISO Level 4 Absolute Dynamic Topography for Climate Model Comparison Standard Error

    https://cmr.earthdata.nasa.gov/search/concepts/C3234111485-POCLOUD.xml
    Description:

    These data are the standard error calculated from the AVISO Level 4 Absolute Dynamic Topography for Climate Model Comparison Number of Observations data set ( in PO.DAAC Drive at https://podaac-tools.jpl.nasa.gov/drive/files/allData/aviso/L4/abs_dynamic_topo ). This data set is not meant to be used alone, but with the absolute dynamic topography data. These data were generated to help support the CMIP5 (Coupled Model Intercomparison Project Phase 5) portion of PCMDI (Program for Climate Model Diagnosis and Intercomparison). The dynamic topograhy are from sea surface height measured by several satellites, Envisat, TOPEX/Poseidon, Jason-1 and OSTM/Jason-2 and referenced to the geoid. These data were provided by AVISO (French space agency data provider), which are based on a similar dynamic topography data set they already produce( http://www.aviso.oceanobs.com/index.php?id=1271 ).

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

    POCLOUD Short Name: AVISO_L4_DYN_TOPO_1DEG_1MO_ERR Version ID: 1 Unique ID: C3234111485-POCLOUD

  • CDDIS DORIS data cycle

    https://cmr.earthdata.nasa.gov/search/concepts/C1000000000-CDDIS.xml
    Description:

    Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) was developed by the Centre National d'Etudes Spatiales (CNES) with cooperation from other French government agencies. The system was developed to provide precise orbit determination and high accuracy location of ground beacons for point positioning. DORIS is a dual-frequency Doppler system that has been included as an experiment on various space missions such as TOPEX/Poseidon, SPOT-2, -3, -4, and -5, Envisat, and Jason satellites. Unlike many other navigation systems, DORIS is based on an uplink device. The receivers are on board the satellite with the transmitters are on the ground. This creates a centralized system in which the complete set of observations is downloaded by the satellite to the ground center, from where they are distributed after editing and processing. An accurate measurment is made of the Doppler shift on radiofrequency signals emitted by the ground beacons and received on the spacecraft.

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    CDDIS Short Name: CDDIS_DORIS_data_cycle Version ID: 1 Unique ID: C1000000000-CDDIS

  • CDDIS DORIS products positions

    https://cmr.earthdata.nasa.gov/search/concepts/C1000000020-CDDIS.xml
    Description:

    Station position and velocity solutions (weekly and cumulative) in Software INdependent EXchange (SINEX) format derived from analysis of Doppler Orbitography by Radiopositioning Integrated on Satellite (DORIS) data. The solutions include daily values of Earth Orientation Parameters (EOPs). These products are the generated by analysis centers in support of the International DORIS Service (IDS). Time series of station coordinate solutions in Station Coordinate Difference (STCD) are also generated by the IDS analysis centers. Weekly solutions represent the IDS contribution to the International Terrestrial Reference Frame (ITRF) determination.

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    CDDIS Short Name: CDDIS_DORIS_products_positions Version ID: 1 Unique ID: C1000000020-CDDIS

  • CDDIS GNSS satellite data

    https://cmr.earthdata.nasa.gov/search/concepts/C1000000024-CDDIS.xml
    Description:

    Global Navigation Satellite System (GNSS) data consists of the U.S. Global Positioning System (GPS) and the Russian GLObal NAvigation Satellite System (GLONASS) (plus other international systems) data sets. The Global Positioning System, developed by the U.S. Department of Defense, has been fully operational since 1994. GPS consists of a constellation of 24 satellites and three active spares each traveling in a 12 hour circular orbit, 20,200 kilometers above the Earth. The satellites are positioned so that six are observable nearly 100 percent of the time from any point on the Earth. The GLObal NAvigation Satellite System (GLONASS), managed and deployed by the Russian Federation, is similar to the U. S. Global Positioning System (GPS) in terms of the satellite constellation, orbits, and signal structure. GNSS receivers detect, decode, and process signals from the GNSS satellites. The satellites transmit the ranging codes on two radio-frequency carriers, allowing the locations of GNSS r

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    Minimum Bounding Rectangle: -90 -180 90 180

    CDDIS Short Name: CDDIS_GNSS_satellite_data Version ID: 1 Unique ID: C1000000024-CDDIS

  • CDDIS_SLR_predictions

    https://cmr.earthdata.nasa.gov/search/concepts/C1000000025-CDDIS.xml
    Description:

    Predicted satellite orbits for Satellite Laser Ranging (SLR) tracking of satellites equipped with corner cube retroreflectors. SLR stations download these prediction files and coordinate tracking schedules for satellite acquisition. The predicted orbit files typically contain orbit information for multiple days and are issued on a daily or sub-daily basis.

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    Minimum Bounding Rectangle: -90 -180 90 180

    CDDIS Short Name: CDDIS_SLR_predictions Version ID: 1 Unique ID: C1000000025-CDDIS

  • ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 1.0

    https://cmr.earthdata.nasa.gov/search/concepts/C2548142668-FEDEO.xml
    Description:

    This dataset contains various global lake products (1992-2019) produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project.Lakes are of significant interest to the scientific community, local to national governments, industries and the wider public. A range of scientific disciplines including hydrology, limnology, climatology, biogeochemistry and geodesy are interested in distribution and functioning of the millions of lakes (from small ponds to inland seas), from the local to the global scale. Remote sensing provides an opportunity to extend the spatio-temporal scale of lake observation. The five thematic climate variables included in this dataset are:• Lake Water Level (LWL): a proxy fundamental to understand the balance between water inputs and water loss and their connection with regional and global climate changes.• Lake Water Extent (LWE): a proxy for change in glacial regions (lake expansion) and drought in many arid environments, water extent relates to local climate for the cooling effect that water bodies provide.• Lake Surface Water temperature (LSWT): correlated with regional air temperatures and a proxy for mixing regimes, driving biogeochemical cycling and seasonality. • Lake Ice Cover (LIC): freeze-up in autumn and advancing break-up in spring are proxies for gradually changing climate patterns and seasonality. • Lake Water-Leaving Reflectance (LWLR): a direct indicator of biogeochemical processes and habitats in the visible part of the water column (e.g. seasonal phytoplankton biomass fluctuations), and an indicator of the frequency of extreme events (peak terrestrial run-off, changing mixing conditions).Data generated in the Lakes_cci project are derived from data from multiple instruments and multiple satellites including; TOPEX/Poseidon, Jason, ENVISAT, SARAL, Sentinel, Landsat, ERS, Terra/Aqua, Suomi NPP, Metop and Orbview. For more information please see the product user guide in the documents.

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    Minimum Bounding Rectangle: -90 -180 90 180

    FEDEO Short Name: 3c324bb4ee394d0d876fe2e1db217378 Version ID: NA Unique ID: C2548142668-FEDEO

  • ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 1.1

    https://cmr.earthdata.nasa.gov/search/concepts/C2548142828-FEDEO.xml
    Description:

    This dataset contains various global lake products (1992-2019) produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project. This is version 1.1 of the dataset.Lakes are of significant interest to the scientific community, local to national governments, industries and the wider public. A range of scientific disciplines including hydrology, limnology, climatology, biogeochemistry and geodesy are interested in distribution and functioning of the millions of lakes (from small ponds to inland seas), from the local to the global scale. Remote sensing provides an opportunity to extend the spatio-temporal scale of lake observation. The five thematic climate variables included in this dataset are:• Lake Water Level (LWL): a proxy fundamental to understand the balance between water inputs and water loss and their connection with regional and global climate changes.• Lake Water Extent (LWE): a proxy for change in glacial regions (lake expansion) and drought in many arid environments, water extent relates to local climate for the cooling effect that water bodies provide.• Lake Surface Water temperature (LSWT): correlated with regional air temperatures and a proxy for mixing regimes, driving biogeochemical cycling and seasonality. • Lake Ice Cover (LIC): freeze-up in autumn and advancing break-up in spring are proxies for gradually changing climate patterns and seasonality. • Lake Water-Leaving Reflectance (LWLR): a direct indicator of biogeochemical processes and habitats in the visible part of the water column (e.g. seasonal phytoplankton biomass fluctuations), and an indicator of the frequency of extreme events (peak terrestrial run-off, changing mixing conditions).Data generated in the Lakes_cci project are derived from data from multiple instruments and multiple satellites including; TOPEX/Poseidon, Jason, ENVISAT, SARAL, Sentinel, Landsat, ERS, Terra/Aqua, Suomi NPP, Metop and Orbview. For more information please see the product user guide in the documents.

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    Minimum Bounding Rectangle: -90 -180 90 180

    FEDEO Short Name: ef1627f523764eae8bbb6b81bf1f7a0a Version ID: NA Unique ID: C2548142828-FEDEO