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, MST1NXMLD or tavg1_2d_mld_Nx, is a simulated 2-Dimensional time averaged single-level 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 0.667 degree longitude x 0.5 degree latitude resolution. Data are archived in the HDF-EOS2 (Grid) format, based on HDF4. Sign Up for the MERRA-2 Mailing List Sign up for the MERRA-2 listserv to receive announcements on the latest data information, tools and services that become available, data announcements from GMAO and more! Contact the GES DISC User Services (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list. MERRA-2 Science Data and Data Processing Questions Do you have a question about MERRA/MERRA-2? Take a look at the File Specification Document and if that doesn't answer your question, users can contact staff with questions on the data, data processing and science. Send questions to merra-questions@lists.nasa.gov.
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Spatial Extent: | Bounding Rectangle: N: 90 S: -90 E: 180 W: -180 |
Data Format(s): | Distribution: HDF-EOS |
Temporal Extent: | Platform(s): | MERRA | |
Data Center(s): | NASA/GSFC/SED/ESD/GCDC/GESDISC | Instrument(s): | NOT APPLICABLE |
Version: | 5.2.0 |
10.5067/OQ6B1RHOHBI8
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Last Revision |
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The Earth Observing System Data and Information System (EOSDIS) data use policy for NASA data can be accessed at https://earthdata.nasa.gov/earth-observation-data/data-use-policy. For information on how to properly cite and acknowledge data from the NASA GES DISC, refer to https://disc.gsfc.nasa.gov/information/documents?title=data-policy.
Title: Data assimilation using incremental analysis updates
Publication Date: 1996-01-01
Author(s): Bloom, S., L. Takacs, A. DaSilva, and D. Ledvina
Series: Monthly Weather Review
Issue: 124
Pages: 1256-1271
Title: Documentation and Validation of the Goddard Earth Observing System (GEOS) Data Assimilation System - Version 4
Publication Date: 2005-01-01
Author(s): Bloom, S., A. da Silva, D. Dee, M. Bosilovich, J.-D. Chern, S. Pawson, S. Schubert, M. Sienkiewicz, I. Stajner, W.-W. Tan, M.-L. Wu
Series: Technical Report Series on Global Modeling and Data Assimilation
Edition: 104606
Volume: 26
Title: Design and implementation of components in the Earth System Modeling Framework
Publication Date: 2005-01-01
Author(s): Collins, N., G. Theurich, C. DeLuca, M. Suarez, A. Trayanov, V. Balaji, P. Li, W. Yang, C. Hill, and A. da Silva
Series: International Journal of High Performance Computing Applications
Volume: 19
Pages: 341-350
DOI: 10.1177/1094342005056120
Title: A catchment-based approach to modeling land surface processes in a GCM, Part 1, Model Structure
Publication Date: 2000-01-01
Author(s): Koster, R. D., M. J. Suarez, A. Ducharne, M. Stieglitz, and P. Kumar
Series: Journal of Geophysical Res.
Edition: 105
Pages: 24809-24822
Title: Numerical aspects of the application of recursive filters to variational statistical analysis. Part I: Spatially homogeneous and isotropic Gaussian covariances
Publication Date: 2003-01-01
Author(s): Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts
Series: Monthly Weather Review
Edition: 131
Pages: 1524-1535
Title: Numerical aspects of the application of recursive filters to variational statistical analysis. Part II: Spatially inhomogeneous and anisotropic general covariances
Publication Date: 2003-01-01
Author(s): Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts
Series: Monthly Weather Review
Edition: 131
Pages: 1536-1548
Title: Three-dimensional variational analysis with spatially inhomogeneous covariances
Publication Date: 2002-01-01
Author(s): Wu, W.-S., R.J. Purser and D.F. Parrish
Series: Monthly Weather Review
Edition: 130
Pages: 2905-2916
Project Short Name | Campaigns | Project Dates |
---|---|---|
MERRA | No campaigns listed. | No dates provided. |
Coverage Type | Zone Identifier | Geometry | Granule Representation |
---|---|---|---|
HORIZONTAL | CARTESIAN | CARTESIAN |
This data center does not have any addresses listed.
This data center does not have any contact mechanisms listed.
Code 610.2 Bldg 32 Rm S151
NASA Goddard Space Flight Center
Greenbelt,
MD
21230
NASA/Goddard Space Flight Center
Global Modeling and Assimilation Office
Code 610.1
Greenbelt,
MD
20771
NASA Goddard Space Flight Center
Code 610.1
Greenbelt,
MD
20771
301-614-6142
Goddard Earth Sciences Data and Information Services Center
Code 610.2
NASA Goddard Space Flight Center
Greenbelt,
MD
20771
Format: HDF-EOS
Format Type: Native
Media: Online Archive
Fees: Free