![NASA/GLDAS/V20/NOAH/G025/T3H](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GLDAS_V20_NOAH_G025_T3H_sample.png?authuser=0000)
- Dataset Availability
- 1948-01-01T03:00:00Z–2014-12-31T21:00:00Z
- Dataset Provider
- NASA GES DISC at NASA Goddard Space Flight Center
- Earth Engine Snippet
-
ee.ImageCollection("NASA/GLDAS/V20/NOAH/G025/T3H")
- 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-2.0 is one of two components of the GLDAS Version 2 (GLDAS-2) dataset, the second being GLDAS-2.1. GLDAS-2.0 is reprocessed with the updated Princeton Global Meteorological Forcing Dataset (Sheffield et al., 2006) and upgraded Land Information System Version 7 (LIS-7). It covers the period 1948-2010, and will be extended to more recent years as corresponding forcing 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 (MCD12Q1: Friedl et al., 2010), land water mask (MOD44W: Carroll et al., 2009), soil texture (Reynolds, 1999), and elevation (GTOPO30). The MODIS based land surface parameters are used in the current GLDAS-2.x products while the AVHRR base parameters were used in GLDAS-1 and previous GLDAS-2 products (prior to October 2012).
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 |
---|---|---|---|---|
Albedo_inst |
% | 4.99* | 82.25* | Albedo |
AvgSurfT_inst |
K | 194.55* | 351.63* | Average surface skin temperature |
CanopInt_inst |
kg/m^2 | 0* | 0.5* | Plant canopy surface water |
ECanop_tavg |
W/m^2 | 0* | 671.88* | Canopy water evaporation |
ESoil_tavg |
W/m^2 | 0* | 592.64* | Direct evaporation from bare soil |
Evap_tavg |
kg/m^2/s | 0* | 0.0002* | Evapotranspiration |
LWdown_f_tavg |
W/m^2 | 44.62* | 561.46* | Downward long-wave radiation flux |
Lwnet_tavg |
W/m^2 | -359.07* | 130.59* | Net long-wave radiation flux |
PotEvap_tavg |
W/m^2 | -241.88* | 1513.78* | Potential evaporation rate |
Psurf_f_inst |
Pa | 47824.1* | 109036* | Pressure |
Qair_f_inst |
Mass fraction | 0* | 0.06* | Specific humidity |
Qg_tavg |
W/m^2 | -517.58* | 485.13* | Heat flux |
Qh_tavg |
W/m^2 | -872.46* | 797.71* | Sensible heat net flux |
Qle_tavg |
W/m^2 | -243.71* | 716.69* | Latent heat net flux |
Qs_acc |
kg/m^2 | 0* | 131.39* | Storm surface runoff |
Qsb_acc |
kg/m^2 | 0* | 42.3* | Baseflow-groundwater runoff |
Qsm_acc |
kg/m^2 | 0* | 27.58* | Snow melt |
Rainf_f_tavg |
kg/m^2/s | 0* | 0.01* | Total precipitation rate |
Rainf_tavg |
kg/m^2/s | 0* | 0.01* | Rain precipitation rate |
RootMoist_inst |
kg/m^2 | 2* | 943.52* | Root zone soil moisture |
SWE_inst |
kg/m^2 | 0* | 117284* | Snow depth water equivalent |
SWdown_f_tavg |
W/m^2 | 0* | 1329.22* | Downward short-wave radiation flux |
SnowDepth_inst |
m | 0* | 293.2* | Snow depth |
Snowf_tavg |
kg/m^2/s | 0* | 0.004* | Snow precipitation rate |
SoilMoi0_10cm_inst |
kg/m^2 | 1.99* | 47.59* | Soil moisture |
SoilMoi10_40cm_inst |
kg/m^2 | 5.99* | 142.8* | Soil moisture |
SoilMoi40_100cm_inst |
kg/m^2 | 11.99* | 285.6* | Soil moisture |
SoilMoi100_200cm_inst |
kg/m^2 | 20* | 476* | Soil moisture |
SoilTMP0_10cm_inst |
K | 218.75* | 329.55* | Soil temperature |
SoilTMP10_40cm_inst |
K | 227.3* | 317.08* | Soil temperature |
SoilTMP40_100cm_inst |
K | 232.59* | 313.47* | Soil temperature |
SoilTMP100_200cm_inst |
K | 234.5* | 311.86* | Soil temperature |
Swnet_tavg |
W/m^2 | 0* | 1128.86* | Net short wave radiation flux |
Tair_f_inst |
K | 197.03* | 326.2* | Air temperature |
Tveg_tavg |
W/m^2 | 0* | 611.89* | Transpiration |
Wind_f_inst |
m/s | 0.06* | 30.31* | Wind speed |
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
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.
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee.ImageCollection('NASA/GLDAS/V20/NOAH/G025/T3H') .filter(ee.Filter.date('2010-06-01', '2010-06-02')); var averageSurfaceSkinTemperatureK = dataset.select('AvgSurfT_inst'); var averageSurfaceSkinTemperatureKVis = { min: 250.0, max: 300.0, palette: ['1303ff', '42fff6', 'f3ff40', 'ff5d0f'], }; Map.setCenter(71.72, 52.48, 3.0); Map.addLayer( averageSurfaceSkinTemperatureK, averageSurfaceSkinTemperatureKVis, 'Average Surface Skin Temperature [K]');