Abstract: The MAT3CPTDT or tavg3_3d_tdt_Cp data product is the MERRA Data Assimilation System 3-Dimensional temperature 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. Parameters include: DTDTRAD - Temperature tendency from radiation DTDTMST - Temperature tendency from moist physics DTDTTRB - Temperature tendency from turbulence DTDTFRI - Temperature tendency from frictional heating DTDTGWD - Temperature tendency from gravity wave drag DTDTTOT - Temperature tendency from physics DTDTDYN - Temperature tendency from dynamics DTDTANA - Temperature tendency from analysis The data are on the GEOS-5 native 288 x 144 grid with 1.25° longitude x 1.25° latitude resolution. The pressure-level data will be output in 42 pressure levels. The files contain the following times compacted into a daily file: 1:30, 4:30, 7:30, 10:30, 13:30, 16:30, 19:30, 22:30 GMT. Data are archived in the HDF-EOS (Grid) format, based on HDF4.
Purpose: Not Available
Supplemental Information: REFERENCE: * Bloom, S., L. Takacs, A. DaSilva, and D. Ledvina, 1996: Data assimilation using incremental analysis updates. Mon. Wea. Rev., 124, 1256-1271. * 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, 2005: Documentation and Validation of the Goddard Earth Observing System (GEOS) Data Assimilation System - Version 4. Technical Report Series on Global Modeling and Data Assimilation 104606, v26. * Collins, N., G. Theurich, C. DeLuca, M. Suarez, A. Trayanov, V. Balaji, P. Li, W. Yang, C. Hill, and A. da Silva, 2005: Design and implementation of components in the Earth System Modeling Framework. Int. J. High Perf. Comput. Appl., 19, 341-350, DOI: 10.1177/1094342005056120. * Derber, J. C., R. J. Purser, W.-S. Wu, R. Treadon, M. Pondeca, D. Parrish, and D. Kleist, 2003: Flow-dependent Jb in a global grid-point 3D-Var. Proc. ECMWF annual seminar on recent developments in data assimilation for atmosphere and ocean. Reading, UK, 8-12 Sept. 2003. * Koster, R. D., M. J. Su???rez, A. Ducharne, M. Stieglitz, and P. Kumar, 2000: A catchment-based approach to modeling land surface processes in a GCM, Part 1, Model Structure. J. Geophys. Res., 105, 24809-24822. * Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts, 2003a: Numerical aspects of the application of recursive filters to variational statistical analysis. Part I: Spatially homogeneous and isotropic Gaussian covariances. Mon. Wea. Rev., 131, 1524-1535.\ * Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts, 2003b: Numerical aspects of the application of recursive filters to variational statistical analysis. Part II: Spatially inhomogeneous and anisotropic general covariances. Mon. Wea. Rev., 131, pp. 1536-1548. * Wu, W.-S., R.J. Purser and D.F. Parrish, 2002: Three-dimensional variational analysis with spatially inhomogeneous covariances. Mon. Wea. Rev., 130, 2905-2916.

Progress: In Work
Update Frequency: As needed

Theme Keywords: ISO Topic Keyword, climatologyMeteorologyAtmosphere, GCMD SCIENCE PARAMETERS, EARTH SCIENCE > ATMOSPHERE > ALTITUDE > GEOPOTENTIAL HEIGHT, EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION, EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND COVER, PROJECT, MERRA > MODERN ERA RETROSPECTIVE-ANALYSIS FOR RESEARCH AND APPLICATIONS, EOSDIS > EARTH OBSERVING SYSTEM DATA INFORMATION SYSTEM, ESIP > EARTH SCIENCE INFORMATION PARTNERS PROGRAM, ANCILLARY KEYWORDS, Dtdtrad, Dtdtmst, Dtdttrb, Dtdtfri, Dtdtgwd, Dtdttot, Dtdtdyn, Dtdtana, Eosdis, ISO TOPIC CATEGORY, CLIMATOLOGY/METEOROLOGY/ATMOSPHERE, DATA SET LANGUAGE, ENGLISH
Place Keywords: GEOGRAPHIC REGION > GLOBAL

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