Google Earth Engine ——全球陆地数据同化系统（GLDAS）摄取了卫星和地面观测数据产品大气分析场、降水场和辐射场数据集
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-2.1 is one of two components of the GLDAS Version 2 (GLDAS-2) dataset, the second being GLDAS-2.0. GLDAS-2.1 is analogous to GLDAS-1 product stream, with upgraded models forced by a combination of GDAS, disaggregated GPCP, and AGRMET radiation data sets.
The GLDAS-2.1 simulation started on January 1, 2000 using the conditions from the GLDAS-2.0 simulation. This simulation was forced with National Oceanic and Atmospheric Administration (NOAA)/Global Data Assimilation System (GDAS) atmospheric analysis fields (Derber et al., 1991), the disaggregated Global Precipitation Climatology Project (GPCP) precipitation fields (Adler et al., 2003), and the Air Force Weather Agency's AGRicultural METeorological modeling system (AGRMET) radiation fields which became available for March 1, 2001 onwards.
Documentation:
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Redme
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How-to
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GES DISC Hydrology Documentation
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GES DISC Data Rods 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.
全球陆地数据同化系统（GLDAS）摄取了卫星和地面观测数据产品。它使用先进的陆地表面建模和数据同化技术，生成陆地表面状态和通量的最佳场。
GLDAS-2.1是GLDAS第二版（GLDAS-2）数据集的两个组成部分之一，另一个是GLDAS-2.0。GLDAS-2.1类似于GLDAS-1产品流，升级后的模型由GDAS、分解的GPCP和AGRMET辐射数据集组合而成。
GLDAS-2.1模拟于2000年1月1日开始，使用GLDAS-2.0模拟的条件。该模拟使用美国国家海洋和大气管理局（NOAA）/全球数据同化系统（GDAS）的大气分析场（Derber等人，1991年）、分解的全球降水气候学项目（GPCP）降水场（Adler等人，2003年）和空军气象局的AGRicultural METeorological建模系统（AGRMET）辐射场（2001年3月1日起可用）强制进行。
提供者注：扩展名为_tavg的是过去3小时的平均变量，扩展名为'_acc'的是过去3小时的累积变量，扩展名为'_inst'的是瞬时变量，扩展名为'_f'的是强制变量。
Dataset Availability
2000-01-01T00:00:00 - 2021-08-25T00:00:00
Dataset Provider
NASA GES DISC at NASA Goddard Space Flight Center
Collection Snippet
ee.ImageCollection("NASA/GLDAS/V021/NOAH/G025/T3H")
Resolution
27830 meters
Bands Table
| Name | Description | Min* | Max* | Units |
|---|---|---|---|---|
| Albedo_inst | Albedo | 4.99 | 82.25 | % |
| AvgSurfT_inst | Average surface skin temperature | 187.48 | 1323.35 | K |
| CanopInt_inst | Plant canopy surface water | 0 | 0.5 | kg/m^2 |
| ECanop_tavg | Canopy water evaporation | 0 | 1273.66 | W/m^2 |
| ESoil_tavg | Direct evaporation from bare soil | 0 | 2275.63 | W/m^2 |
| Evap_tavg | Evapotranspiration | 0 | 0.002 | kg/m^2/s |
| LWdown_f_tavg | Downward long-wave radiation flux | 26.85 | 600.9 | W/m^2 |
| Lwnet_tavg | Net long-wave radiation flux | -13792.7 | 196.97 | W/m^2 |
| PotEvap_tavg | Potential evaporation rate | -227.75 | 18977.87 | W/m^2 |
| Psurf_f_inst | Pressure | 44063.08 | 108343.92 | Pa |
| Qair_f_inst | Specific humidity | -0.02 | 0.07 | kg/kg |
| Qg_tavg | Heat flux | -552.64 | 1538.41 | W/m^2 |
| Qh_tavg | Sensible heat net flux | -1005.15 | 18190.63 | W/m^2 |
| Qle_tavg | Latent heat net flux | -227.75 | 5072.25 | W/m^2 |
| Qs_acc | Storm surface runoff | 0 | 170.93 | kg/m^2 |
| Qsb_acc | Baseflow-groundwater runoff | 0 | 50.6 | kg/m^2 |
| Qsm_acc | Snow melt | 0 | 42.87 | kg/m^2 |
| Rainf_f_tavg | Total precipitation rate | 0 | 0.01 | kg/m^2/s |
| Rainf_tavg | Rain precipitation rate | 0 | 0.01 | kg/m^2/s |
| RootMoist_inst | Root zone soil moisture | 2 | 949.6 | kg/m^2 |
| SWE_inst | Snow depth water equivalent | 0 | 120786.71 | kg/m^2 |
| SWdown_f_tavg | Downward short-wave radiation flux | -56.93 | 30462.81 | W/m^2 |
| SnowDepth_inst | Snow depth | 0 | 301.96 | m |
| Snowf_tavg | Snow precipitation rate | 0 | 0.009 | kg/m^2/s |
| SoilMoi0_10cm_inst | Soil moisture | 1.99 | 47.59 | kg/m^2 |
| SoilMoi10_40cm_inst | Soil moisture | 5.99 | 142.8 | kg/m^2 |
| SoilMoi40_100cm_inst | Soil moisture | 11.99 | 285.6 | kg/m^2 |
| SoilMoi100_200cm_inst | Soil moisture | 20 | 476 | kg/m^2 |
| SoilTMP0_10cm_inst | Soil temperature | 221.98 | 377.5 | K |
| SoilTMP10_40cm_inst | Soil temperature | 227.43 | 319.44 | K |
| SoilTMP40_100cm_inst | Soil temperature | 232.97 | 316.2 | K |
| SoilTMP100_200cm_inst | Soil temperature | 238.52 | 314.11 | K |
| Swnet_tavg | Net short wave radiation flux | -48.96 | 23741.33 | W/m^2 |
| Tair_f_inst | Air temperature | 206.8 | 327.66 | K |
| Tveg_tavg | Transpiration | 0 | 3455.14 | W/m^2 |
| Wind_f_inst | Wind speed | 0 | 57.7 | m/s |
* = Values are estimated
| Name | Type | Description |
|---|---|---|
| end_hour | Double | End hour |
| start_hour | Double | Start hour |
使用说明：
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.
引用：
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.
Additional references
代码：
var dataset = ee.ImageCollection('NASA/GLDAS/V021/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]');
