GLDAS Noah Land Surface Model L4 monthly 1.0 x 1.0 degree V2.1 (GLDAS_NOAH10_M) at GES DISCEntry ID: GLDAS_NOAH10_M_2.1
Abstract: 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 set, GLDAS-2.1 Noah 1.0 degree monthly, was generated through temporal averaging of GLDAS-2.1 ... Noah 3-hourly data simulated with the Noah Model 3.3 in Land Information System (LIS) Version 7. The data set contains 36 land surface fields from January 2000 to present.
GLDAS-2.1 simulation is forced by a combination of National Oceanic and Atmospheric Administration/National Center for Environmental Prediction’s Global Data Assimilation System (GDAS) atmospheric analysis fields, spatially and temporally disaggregated Global Precipitation Climatology Project (GPCP) precipitation fields, and observation based downward shortwave and longwave radiation fields derived using the method of the Air Force Weather Agency's AGRicultural METeorological modeling system (AGRMET). This data set supersedes GLDAS-1 products, in which improvements are made in the use of GPCP and the disaggregation scheme, and quality control for the AGRMET dataset. The GPCP 1-degree Daily (1DD) dataset is used and disaggregated to 3-hourly intervals, whereas GLDAS-1 used the NOAA Climate Prediction Center Merged Analysis of Precipitation (CMAP) pentad dataset and disaggregated to 6-hourly. The gaps and irregularity in the AGRMET shortwave downward flux are alleviated by additional filtering and bias correction to the Surface Radiation Budget (SRB) dataset. Furthermore, the spatial aggregation scheme of GDAS dataset is revised in GLDAS-2.1.
The simulation started on 1 January 2000 using the conditions from the GLDAS-2.0 simulation and was forced with GDAS and the disaggregated GPCP. The AGRMET radiation forcing is added for 1 March 2001 onwards.
The simulation uses the common GLDAS data sets for land water mask (MOD44W: Carroll et al., 2009) and elevation (GTOPO30), as well as the Noah model default land cover (Modified IGBP MODIS 20-category classification) and soil texture (Hybrid STATSGO/FAO) datasets.
The GLDAS-2.1 data are archived and distributed in NetCDF format.
Data Set Citation
Dataset Originator/Creator: Beaudoing, Hiroko and M. Rodell, NASA/GSFC/HSL
Dataset Title: GLDAS Noah Land Surface Model L4 monthly 1.0 x 1.0 degree V2.1
Dataset Series Name: GLDAS_NOAH10_M
Dataset Release Date: 2016-06-01T00:00:00.000Z
Dataset Release Place: Greenbelt, Maryland, USA
Dataset Publisher: Goddard Earth Sciences Data and Information Services Center (GES DISC)
Data Presentation Form: Digital Science Data
Dataset DOI: 10.5067/LWTYSMP3VM5ZOnline Resource: https://disc.gsfc.nasa.gov/datacollection/GLDAS_NOAH10_M_2.1.html
Start Date: 2000-01-01
ATMOSPHERE > ATMOSPHERIC PRESSURE > SURFACE PRESSURE
ATMOSPHERE > ATMOSPHERIC RADIATION > HEAT FLUX
ATMOSPHERE > ATMOSPHERIC RADIATION > LONGWAVE RADIATION
ATMOSPHERE > ATMOSPHERIC RADIATION > SHORTWAVE RADIATION
ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE
ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY
ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR PROCESSES > EVAPOTRANSPIRATION
ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS
ATMOSPHERE > PRECIPITATION > LIQUID PRECIPITATION > RAIN
ATMOSPHERE > PRECIPITATION > PRECIPITATION RATE
ATMOSPHERE > PRECIPITATION > SOLID PRECIPITATION > SNOW
LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT
LAND SURFACE > SOILS > SOIL TEMPERATURE
LAND SURFACE > SURFACE THERMAL PROPERTIES > LAND SURFACE TEMPERATURE
TERRESTRIAL HYDROSPHERE > SNOW/ICE > SNOW WATER EQUIVALENT
TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > RUNOFF
Quality 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.
Access Constraints None
Use Constraints None
Data Set Progress
Distribution Media: Online Archive
Distribution Size: 2.0 MB
Distribution Format: netCDF
Fees: No Fee
Role: METADATA AUTHOR
Email: Hualan.Rui at nasa.gov
Goddard Earth Sciences Data and Information Services Center Code 610.2 NASA Goddard Space Flight Center
Province or State: MD
Postal Code: 20771
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 (2004-01-01T00:00:00.000Z), The Global Land Data Assimilation System, doi:10.1175/BAMS-85-3-381, Data Author Publication
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2016-03-18
Last DIF Revision Date: 2019-01-28