Bronze level automatically awarded US beta
This data has achieved Bronze level on 25 October 2015 which means this data makes a great start at the basics of publishing open data.
The Modern-Era Retrospective Analysis for Research and Applications (MERRA) is a state-of-the-art reanalysis data product that provides, in addition to atmospheric fields, global estimates of soil moisture, latent heat flux, snow, and runoff for 1979-present. A supplemental and improved set of land surface hydrological fields (MERRA-Land) was generated by re-running a revised version of the land component of the MERRA system (Reichle et al., 2012). Specifically, the MERRA-Land estimates benefit from corrections to the precipitation forcing with the global gauge-based NOAA Climate Prediction Center Unified (CPCU) precipitation product and from revised parameter values in the rainfall interception model, changes that effectively correct for known limitations in the MERRA surface meteorological forcings. With a few exceptions, the MERRA-Land data appear more accurate than the original MERRA estimates and are thus recommended for those interested in using MERRA output for land surface hydrological studies. The MERRA-Land product, MSTMNXMLD or tavgM_2d_mld_Nx, is a simulated 2-Dimensional monthly mean at the native resolution. All collections from this group are at reduced horizontal resolution. The data are on the GEOS-5 native 540 x 361 grid with 2/3° longitude x 1/2° latitude resolution. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
http://catalog.data.gov/dataset/merra-land-2d-land-surface-diagnostics-monthly-2-3x1-2l1-v5-2-0-43974 Do you think this data is incorrect? Let us know
National Aeronautics and Space Administration Do you think this data is incorrect? Let us know
http://catalog.data.gov/dataset/merra-land-2d-land-surface-diagnostics-monthly-2-3x1-2l1-v5-2-0-43974 Do you think this data is incorrect? Let us know
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yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know
Creative Commons CCZero Do you think this data is incorrect? Let us know
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no data about individuals Do you think this data is incorrect? Let us know
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go out of date but it is timestamped Do you think this data is incorrect? Let us know
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http://catalog.data.gov/dataset/merra-land-2d-land-surface-diagnostics-monthly-2-3x1-2l1-v5-2-0-43974 Do you think this data is incorrect? Let us know
http://www.data.gov/issue/?media_url=http://catalog.data.gov/dataset/merra-land-2d-land-surface-diagnostics-monthly-2-3x1-2l1-v5-2-0-43974 Do you think this data is incorrect? Let us know