GLDAS-2.2: Global Land Data Assimilation System

NASA/GLDAS/V022/CLSM/G025/DA1D
Dataset Availability
2003-01-01T03:00:00Z–2024-09-30T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("NASA/GLDAS/V022/CLSM/G025/DA1D")

Description

NASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three components: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely with the Princeton meteorological forcing input data and provides a temporally consistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination of model and observation data from 2000 to present. GLDAS-2.2 product suites use data assimilation (DA), whereas the GLDAS-2.0 and GLDAS-2.1 products are "open-loop" (i.e., no data assimilation). The choice of forcing data, as well as DA observation source, variable, and scheme, vary for different GLDAS-2.2 products.GLDAS-2.2 is new to the GES DISC archive and currently includes a main product from CLSM-F2.5 with Data Assimilation for the Gravity Recovery and Climate Experiment (GRACE-DA) from February 2003 to present. The GLDAS-2.2 data are available in two production streams: main and Early, only main one is ingested.

The GLDAS-2.2 GRACE-DA product was simulated with Catchment-F2.5 in Land Information System (LIS) Version 7. The data product contains 24 land surface fields from February 1, 2003 to present.

The simulation started on February 1, 2003 using the conditions from the GLDAS-2.0 Daily Catchment model simulation, forced with the meteorological analysis fields from the operational European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System. The total terrestrial water anomaly observation from GRACE satellite was assimilated (Li et al, 2019). Due to the data agreement with ECMWF, this GLDAS-2.2 daily product does not include the meteorological forcing fields.

Documentation:

Provider's Note: the names with extension _tavg are variables averaged over the past 3-hours, the names with extension '_acc' are variables accumulated over the past 3-hours, the names with extension '_inst' are instantaneous variables, and the names with '_f' are forcing variables.

Bands

Resolution
27830 meters

Bands

Name Units Min Max Description
ACond_tavg m/s 0.000379* 5.99291*

Aerodynamic conductance
AvgSurfT_tavg K 179.818* 324.265*

Average surface skin temperature
CanopInt_tavg kg/m^2 0* 1.57295*

Plant canopy surface water
ECanop_tavg kg/m^2/s -0.021881* 5.3e-05*

Canopy water evaporation
ESoil_tavg kg/m^2/s -0.003637* 0.001172*

Direct evaporation from bare soil
EvapSnow_tavg kg/m^2/s -0.021057* 0.000728*

Snow Evaporation
Evap_tavg kg/m^2/s -0.02737* 0.00121*

Evapotranspiration
GWS_tavg mm 77.0153* 3599.01*

Ground water storage
Lwnet_tavg W/m^2 -221.308* 490.842*

Net long-wave radiation flux
Qg_tavg W/m^2 -344.072* 174.036*

Heat flux
Qh_tavg W/m^2 -2851.75* 54076.7*

Sensible heat net flux
Qle_tavg W/m^2 -53856.6* 2983.65*

Latent heat net flux
Qsb_tavg kg/m^2/s 0* 0.000416*

Baseflow-groundwater runoff
Qsm_tavg kg/m^2/s 0* 0.018311*

Snow melt
Qs_tavg kg/m^2/s 0* 0.020244*

Storm surface runoff
SnowDepth_tavg m 0* 8.57951*

Snow depth
SnowT_tavg K 179.818* 324.265*

Snow Surface temperature
SoilMoist_P_tavg kg/m^2 109.394* 4049.02*

Profile Soil moisture
SoilMoist_RZ_tavg kg/m^2 32.3665* 478.397*

Root Zone Soil moisture
SoilMoist_S_tavg kg/m^2 0.001389* 9.56*

Surface Soil moisture
SWE_tavg kg/m^2 0* 3688.07*

Snow depth water equivalent
Swnet_tavg W/m^2 0* 421.784*

Net short wave radiation flux
TVeg_tavg kg/m^2/s -0.000371* 0.001654*

Transpiration
TWS_tavg mm 109.394* 5084.16*

Terrestrial water storage
* estimated min or max value

Image Properties

Image Properties

Name Type Description
end_hour DOUBLE

End hour
start_hour DOUBLE

Start hour

Terms of Use

Terms of Use

Distribution of data from the Goddard Earth Sciences Data and Information Services Center (GES DISC) is funded by NASA's Science Mission Directorate (SMD). Consistent with NASA Earth Science Data and Information Policy, data from the GES DISC archive are available free to the user community. For more information visit the GES DISC Data Policy page.

Citations

Citations:

  • Li, B., M. Rodell, S. Kumar, H. Beaudoing, A. Getirana, B. F. Zaitchik, et al. (2019) Global GRACE data assimilation for groundwater and drought monitoring: Advances and challenges. Water Resources Research, 55, 7564-7586.

  • Additional references

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.ImageCollection('NASA/GLDAS/V022/CLSM/G025/DA1D')
                  .filter(ee.Filter.date('2010-06-01', '2010-06-02'));
var averageSurfaceSkinTemperatureK = dataset.select('AvgSurfT_tavg');
var averageSurfaceSkinTemperatureKVis = {
  min: 258,
  max: 316,
  palette: ['1303ff', '42fff6', 'f3ff40', 'ff5d0f'],
};
Map.setCenter(71.72, 52.48, 3.0);
Map.addLayer(
    averageSurfaceSkinTemperatureK, averageSurfaceSkinTemperatureKVis,
    'Average Surface Skin Temperature [K]');
Open in Code Editor
NASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three components: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely with the Princeton meteorological forcing input data and provides a temporally consistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination of model and observation data from 2000 …
NASA/GLDAS/V022/CLSM/G025/DA1D, 3-hourly,climate,evaporation,forcing,geophysical,gldas,humidity,ldas,nasa,precipitation,pressure,radiation,soil,soil-moisture,surface,temperature,wind
2003-01-01T03:00:00Z/2024-09-30T00:00:00Z
Google Earth Engine