GLDAS Noah Land Surface Model L4 3 hourly 1.0 x 1.0 degree V2.1 (GLDAS_NOAH10_3H) at GES DISC
Global Land Data Assimilation System Version 2 (hereafter, GLDAS-2) has two components: one forced entirely with the Princeton meteorological forcing data (hereafter, GLDAS-2.0), and the other forced with a combination of model and observation based forcing data sets (hereafter, GLDAS-2.1).
This data product, GLDAS-2.1 Noah 1.0 degree 3-hourly data product, reprocessed in January 2020, is a replacement to its previous version.
The 3-hourly data product was simulated with the Noah Model 3.6 in Land Information System (LIS) Version 7. The data product contains 36 land surface fields from January 2000 to present.
The GLDAS-2.1 simulation started on January 1, 2000 using the conditions from the GLDAS-2.0 simulation. This simulation was forced with National Oceanic and Atmospheric Administration (NOAA)/Global Data Assimilation System (GDAS) atmospheric analysis fields (Derber et al., 1991), the disaggregated Global Precipitation Climatology Project (GPCP) V1.3 Daily Analysis precipitation fields (Adler et al., 2003; Huffman et al., 2001), and the Air Force Weather Agency's AGRicultural METeorological modeling system (AGRMET) radiation fields. The simulation used with GDAS and GPCP only from 2000 to February 2001, followed by addition of AGRMET for March 1, 2001 onwards.
The GLDAS-2.1 products supersede their corresponding GLDAS-1 products.
The GLDAS-2.1 data are archived and distributed in NetCDF format.
Version Description This GLDAS Version 2.1 (GLDAS-2.1) 1.0 degree 3-hourly data product is a replacement for the same data product of the GLDAS Version 1 (GLDAS-1).
GLDAS Version 2 (GLDAS-2) has two components, GLDAS Version 2.0 (GLDAS-2.0) and GLDAS-2.1. The main objective for GLDAS-2.0 is to create more climatologically consistent data sets, using the Global Meteorological Forcing Dataset from Princeton University, currently extending from 1948 - 2014. GLDAS-2.1 is analogous to GLDAS-1 product stream, with upgraded models forced by a combination of GDAS, disaggregated GPCP, and AGRMET radiation data sets. Other enhancements made in GLDAS-2 include model version upgrade, switching to MODIS- based land surface parameter data sets, and initialization of soil moisture over desert. In the Noah model, the bottom layer temperature was also updated.
GLDAS-2.1 addressed two major issues found in the GLDAS-1 forcing fields, 1) the AGRMET shortwave downward flux displayed sharp, unnatural gradient lines in the Northern Hemisphere in certain years; 2) there was a dramatic change in precipitation in certain locations starting in 2009. More information about what the differences are between GLDAS-1 and GLDAS-2.1 and how the issues were addressed are available in GLDAS-2 README document.
The data are provisional and subject to change as model improvements are implemented and new input data sets become available. Due to the fact that forcing data for Greenland are unreliable and the lack of a glacier/ice sheet model, snow water equivalent accumulates indefinitely in Greenland and a few other Arctic points. Therefore it is highly recommended that Greenland and other points with abnormally large snow water equivalent values be masked out when performing global analyses.
Title: The Global Land Data Assimilation System
Publication Date: 2004-01-01
Rodell, M., P.R. Houser, U. Jambor, J. Gottschalck, K. Mitchell, C. Meng, K. Arsenault, B. Cosgrove, J. Radakovich, M. Bosilovich, J.K. Entin, J.P. Walker, D. Lohmann, and D. Toll
Goddard Earth Sciences Data and Information Services Center (formerly Goddard DAAC), Global Change Data Center, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA
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