GLDAS-2: Global Land Data Assimilation System (NASA/GLDAS/V020/NOAH/G025/T3H)
Version V020
Global Land Data Assimilation System (GLDAS) ingests satellite and
ground-based observational data products. Using advanced land surface
modeling and data assimilation techniques, it generates optimal
fields of land surface states and fluxes.
GLDAS-2.0 is created to make climatologically consistent datasets using
the Global Meteorological Forcing Dataset from Princeton University.
It contains a series of land surface parameters simulated from the
Noah Model 3.3. It currently covers the period from 1948 to 2010
and will be extended to recent years as the data become available.
The model simulation was initialized on January 1, 1948, using soil
moisture and other state fields from the LSM climatology for that
day of the year. The simulation used the common GLDAS datasets for
land cover, land water mask, soil texture, and elevation. The MODIS-based
land surface parameters are used in the current GLDAS-2.0 products. The data
used in this modelling were acquired as part of the mission of NASA’s
Earth Science Division and archived and distributed by the
Goddard Earth Sciences (GES) Data and Information Services Center (DISC).
| Name | Description | Gee Unit |
|---|---|---|
| SWnetsfc | Net short wave radiation flux (surface) | W/m^2 |
| LWnetsfc | Net long wave radiation flux (surface) | W/m^2 |
| Qlesfc | Latent heat netflux | W/m^2 |
| Qhsfc | Sensible heat flux | W/m^2 |
| Qgsfc | Ground heat flux | W/m^2 |
| Snowfsfc | Snowfall rate | kg/m^2/s |
| Rainfsfc | Rainfall rate | kg/m^2/s |
| Evapsfc | Evaporation | kg/m^2 |
| Qssfc | Surface runoff | kg/m^2/s |
| Qsbsfc | Subsurface runoff | kg/m^2/s |
| Qsmsfc | Snow melt | kg/m^2 |
| AvgSurfTsfc | Average surface temperature | K |
| SWEsfc | Water equivalent of accumulated snow depth | kg/m^2 |
| SoilM0_10cm | 0-10cm underground soil moisture content | kg/m^2 |
| SoilM10_40cm | 10-40cm underground soil moisture content | kg/m^2 |
| SoilM40_100cm | 40-100cm underground soil moisture content | kg/m^2 |
| SoilM100_200cm | 100-200cm underground soil moisture content | kg/m^2 |
| TSoil0_10cm | 0-10cm underground soil temperature | C |
| TSoil10_40cm | 10-40cm underground soil temperature | C |
| TSoil40_100cm | 40-100cm underground soil temperature | C |
| TSoil100_200cm | 100-200cm underground soil temperature | C |
| Canopintsfc | Plant canopy surface water | kg/m^2 |
| Windsfc | Wind speed | m/s |
| Tairsfc | Temperature | C |
| Qairsfc | Specific humidity | kg/kg |
| PSurfsfc | Pressure | Pa |
| SWdownsfc | Surface incident shortwave radiation | W/m^2 |
| LWdownsfc | Surface incident longwave radiation | W/m^2 |
Providers | |
|---|---|
| NASA (producer, licensor) | |
| Google Earth Engine (host) | |
| STAC Version | 0.6.0 |
| Keywords | 3-hourly, climate, evaporation, forcing, geophysical, gldas, humidity, ldas, moisture, nasa, precipitation, pressure, radiation, soil, surface, temperature, wind |
| License | proprietary |
| Temporal Extent | 12/31/1947, 4:00:00 PM - 12/30/2010, 4:00:00 PM |
| Citation | Rodell, M., P.R. Houser, U. Jambor, J. Gottschalck, K. Mitchell, C.-J. Meng, K. Arsenault, B. Cosgrove, J. Radakovich, M. Bosilovich, J.K. Entin, J.P. Walker, D. Lohmann, and D. Toll, The Global Land Data Assimilation System, Bull. Amer. Meteor. Soc., 85(3), 381-394, 2004. |
| Type | image_collection |
| GSD | arc degreesm |
| Cadence | hours |
| Asset schema | {"name":"end_hour","description":"End hour","type":"DOUBLE"},{"name":"start_hour","description":"Start hour","type":"DOUBLE"} |