tavgM_3d_udt_Cp: MERRA 3D IAU Tendency, Wind Components, Monthly Mean 1.25 x 1.25 degree V5.2.0 (MATMCPUDT) at GES DISC

The MATMCPUDT or tavgM_3d_udt_Cp data product is the MERRA Data Assimilation System 3-Dimensional eastward wind tendencies that is time averaged on pressure levels at a reduced 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 3-dimensional fields that do not vary during the reanalysis. The data are on the GEOS-5 native 288 x 144 grid with 1.25 degree longitude x 1.25 degree latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the monthly means. Data are archived in the HDF-EOS2 (Grid) format, based on HDF4.

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Data and Resources

Additional Info

Field Value
Last Updated July 30, 2019, 20:54 (CDT)
Created July 30, 2019, 20:54 (CDT)
Identifier C1274767843-GES_DISC
Issued 2007-06-14
Modified 2015-07-07
accessLevel public
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citation Global Modeling and Assimilation Office (GMAO). 2008-07-23. MATMCPUDT. Version 5.2.0. tavgM_3d_udt_Cp: MERRA 3D IAU Tendency, Wind Components, Monthly Mean V5.2.0. Greenbelt, MD, USA. Archived by National Aeronautics and Space Administration, U.S. Government, Goddard Earth Sciences Data and Information Services Center (GES DISC). https://doi.org/10.5067/8T03TZ8Q2FUV. https://disc.gsfc.nasa.gov/datacollection/MATMCPUDT_5.2.0.html. Digital Science Data.
creator Global Modeling and Assimilation Office (GMAO)
data-presentation-form Digital Science Data
datagov_dedupe_retained 20190501230127
graphic-preview-description The GES-DISC Interactive Online Visualization ANd aNalysis Interface (Giovanni) is a web-based tool that allows users to interactively visualize and analyze data.
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landingPage https://doi.org/10.5067/8T03TZ8Q2FUV
metadata_type geospatial
release-place Greenbelt, MD, USA
resource-type Dataset
series-name MATMCPUDT
source_datajson_identifier true
source_hash 8c2c7ad0f6f61d84c025a6278abdaef2687bacab
source_schema_version 1.1
spatial -180.0 -90.0 180.0 90.0
temporal 1979-01-01T00:00:00Z/2016-02-29T23:59:59Z