![NASA/GLDAS/V022/CLSM/G025/DA1D](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GLDAS_V022_CLSM_G025_DA1D_sample.png?authuser=6)
- Dataset Availability
- 2003-01-01T03:00:00Z–2024-03-31T00:00:00Z
- Dataset Provider
- NASA GES DISC at NASA Goddard Earth Sciences Data and Information Services Center
- Earth Engine Snippet
-
ee.ImageCollection("NASA/GLDAS/V022/CLSM/G025/DA1D")
- Tags
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 |
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
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.
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]');