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 MATMNXFLX or tavgM_2d_flx_Nx data product is the MERRA Data Assimilation System 2-Dimensional surface turbulence flux diagnostic that is time averaged single-level at the native resolution. It is a history file that is produced from the GCM during the corrector segment of the IAU cycle. All collections from this group are at reduced horizontal resolution. MERRA, or the Modern Era Retrospective-analysis for Research and Application, is a NASA reanalysis for the satellite era (30 years 1979-current) using the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5 DAS). This data product contains 2-dimensional fields that do not vary during the reanalysis. 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.
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National Aeronautics and Space Administration Do you think this data is incorrect? Let us know
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Creative Commons CCZero Do you think this data is incorrect? Let us know
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
its data licence Do you think this data is incorrect? Let us know
no data about individuals Do you think this data is incorrect? Let us know
http://catalog.data.gov/organization/nasa-gov Do you think this data is incorrect? Let us know
go out of date but it is timestamped Do you think this data is incorrect? Let us know
backed up offsite Do you think this data is incorrect? Let us know
http://reverb.echo.nasa.gov/reverb/#utf8=%E2%9C%93&spatial_map=satellite&spatial_type=rectangle&keywords=GES_DISC_MATMNXFLX_V5.2.0 Do you think this data is incorrect? Let us know
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http://catalog.data.gov/dataset/merra-2d-iau-diagnostic-surface-fluxes-monthly-mean-2-3x1-2l1-v5-2-0 Do you think this data is incorrect? Let us know
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