O Sistema Global de Assimilação de Dados da Terra da NASA, versão 2 (GLDAS-2), tem três componentes: GLDAS-2.0, GLDAS-2.1 e GLDAS-2.2. O GLDAS-2.0 é totalmente forçado com os dados de entrada de forçante meteorológica de Princeton e fornece uma série temporalmente consistente de 1948 a 2014. O GLDAS-2.1 é forçado com uma combinação de dados de modelo e observação de 2000 até o presente. Os conjuntos de produtos GLDAS-2.2 usam assimilação de dados (DA), enquanto os produtos GLDAS-2.0 e GLDAS-2.1 são "de malha aberta" (ou seja, sem assimilação de dados). A escolha de forçar dados, bem como a origem, a variável e o esquema de observação da análise de dados, varia para diferentes produtos do GLDAS-2.2.O GLDAS-2.2 é novo no arquivo do GES DISC e atualmente inclui um produto principal do CLSM-F2.5 com assimilação de dados para o Gravity Recovery and Climate Experiment (GRACE-DA) de fevereiro de 2003 até o presente. Os dados do GLDAS-2.2 estão disponíveis em dois fluxos de produção: principal e Early. Apenas o principal é ingerido.
O produto GLDAS-2.2 GRACE-DA foi simulado com Catchment-F2.5 na versão 7 do Land Information System (LIS). O produto de dados contém 24 campos de superfície terrestre de 1º de fevereiro de 2003 até o presente.
A simulação começou em 1º de fevereiro de 2003 usando as condições da simulação do modelo de bacia hidrográfica diária do GLDAS-2.0, forçada com os campos de análise meteorológica do sistema de previsão integrada operacional do Centro Europeu de Previsões Meteorológicas em Médio Prazo (ECMWF). A observação total de anomalia de água terrestre do satélite GRACE foi assimilada (Li et al, 2019). Devido ao contrato de dados com o ECMWF, esse produto diário do GLDAS-2.2 não inclui os campos de forçantes meteorológicas.
Observação do provedor: os nomes com a extensão _tavg são variáveis com média das últimas três horas, os nomes com a extensão _acc são variáveis acumuladas nas últimas três horas, os nomes com a extensão _inst são variáveis instantâneas e os nomes com _f são variáveis de forçagem.
Bandas
Tamanho do pixel 27830 metros
Bandas
Nome
Unidades
Mín.
Máx.
Tamanho do pixel
Descrição
ACond_tavg
m/s
0,000379*
5,99291*
metros
Condutância aerodinâmica
AvgSurfT_tavg
K
179.818*
324.265*
metros
Temperatura média da superfície da pele
CanopInt_tavg
kg/m^2
0*
1.57295*
metros
Água superficial da cobertura vegetal
ECanop_tavg
kg/m^2/s
-0,021881*
5,3e-05*
metros
Evaporação da água da copa
ESoil_tavg
kg/m^2/s
-0,003637*
0,001172*
metros
Evaporação direta do solo sem cobertura
EvapSnow_tavg
kg/m^2/s
-0,021057*
0,000728*
metros
Evaporação da neve
Evap_tavg
kg/m^2/s
-0,02737*
0,00121*
metros
Evapotranspiração
GWS_tavg
mm
77.0153*
3599.01*
metros
Armazenamento de água subterrânea
Lwnet_tavg
W/m^2
-221.308*
490.842*
metros
Fluxo de radiação líquida de ondas longas
Qg_tavg
W/m^2
-344.072*
174.036*
metros
Fluxo de calor
Qh_tavg
W/m^2
-2851,75*
54076,7*
metros
Fluxo líquido de calor sensível
Qle_tavg
W/m^2
-53856,6*
2983.65*
metros
Fluxo líquido de calor latente
Qsb_tavg
kg/m^2/s
0*
0,000416*
metros
Escoamento de águas subterrâneas de fluxo de base
Qsm_tavg
kg/m^2/s
0*
0,018311*
metros
Derretimento da neve
Qs_tavg
kg/m^2/s
0*
0,020244*
metros
Escoamento superficial de tempestade
SnowDepth_tavg
m
0*
8,57951*
metros
Profundidade da neve
SnowT_tavg
K
179.818*
324.265*
metros
Temperatura da superfície da neve
SoilMoist_P_tavg
kg/m^2
109.394*
4049.02*
metros
Umidade do solo do perfil
SoilMoist_RZ_tavg
kg/m^2
32,3665*
478.397*
metros
Umidade do solo na zona radicular
SoilMoist_S_tavg
kg/m^2
0,001389*
9,56*
metros
Umidade da superfície do solo
SWE_tavg
kg/m^2
0*
3688,07*
metros
Equivalente em água da profundidade da neve
Swnet_tavg
W/m^2
0*
421.784*
metros
Fluxo de radiação líquida de ondas curtas
TVeg_tavg
kg/m^2/s
-0,000371*
0,001654*
metros
Transpiração
TWS_tavg
mm
109.394*
5084,16*
metros
Armazenamento de água terrestre
* valor mínimo ou máximo estimado
Propriedades de imagens
Propriedades da imagem
Nome
Tipo
Descrição
end_hour
DOUBLE
Hora de término
start_hour
DOUBLE
Hora de início
Termos de Uso
Termos de Uso
A distribuição de dados do Goddard Earth Sciences Data and Information Services Center (GES DISC) é financiada pela Science Mission Directorate (SMD) da NASA. De acordo com a política de dados e informações de ciências da Terra da NASA, os dados do arquivo do GES DISC estão disponíveis sem custo financeiro para a comunidade de usuários.
Para mais informações, acesse a página da Política de dados do GES DISC.
Citações
Citações:
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.
O Sistema Global de Assimilação de Dados da Terra da NASA, versão 2 (GLDAS-2), tem três componentes: GLDAS-2.0, GLDAS-2.1 e GLDAS-2.2. O GLDAS-2.0 é totalmente forçado com os dados de entrada de forçante meteorológica de Princeton e fornece uma série temporalmente consistente de 1948 a 2014. O GLDAS-2.1 é forçado com uma combinação de dados de modelo e observação de 2000…
[null,null,[],[[["\u003cp\u003eThe NASA Global Land Data Assimilation System (GLDAS-2.2) dataset provides 3-hourly land surface fields, including soil moisture, temperature, and evapotranspiration, from February 2003 to present.\u003c/p\u003e\n"],["\u003cp\u003eGLDAS-2.2 uses data assimilation, incorporating observations from the Gravity Recovery and Climate Experiment (GRACE) satellite, to estimate terrestrial water storage and related variables.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is available at a spatial resolution of 27830 meters and includes variables averaged, accumulated, and instantaneous over 3-hour intervals.\u003c/p\u003e\n"],["\u003cp\u003eGLDAS-2.2 is freely available through NASA's GES DISC and can be accessed and analyzed using Google Earth Engine.\u003c/p\u003e\n"],["\u003cp\u003eThis product is a component of the broader GLDAS-2 system, which also includes open-loop simulations (GLDAS-2.0 and GLDAS-2.1) covering earlier time periods.\u003c/p\u003e\n"]]],["The NASA GLDAS-2.2 dataset, provided by NASA GES DISC, offers daily land surface data from 2003-01-01 to 2024-11-30, simulated using the Catchment-F2.5 model with data assimilation. Key data includes 24 land surface fields, such as soil moisture, temperature, evaporation, and radiation, available with a 27830-meter pixel size. Data can be accessed via the Earth Engine using the provided code snippet. Data is free for research, education, and non-profit use.\n"],null,["# GLDAS-2.2: Global Land Data Assimilation System\n\nDataset Availability\n: 2003-01-01T03:00:00Z--2025-05-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [NASA GES DISC at NASA Goddard Earth Sciences Data and Information Services Center](https://doi.org/10.5067/TXBMLX370XX8)\n\nCadence\n: 1 Day\n\nTags\n:\n[3-hourly](/earth-engine/datasets/tags/3-hourly) [climate](/earth-engine/datasets/tags/climate) [cryosphere](/earth-engine/datasets/tags/cryosphere) [evaporation](/earth-engine/datasets/tags/evaporation) [forcing](/earth-engine/datasets/tags/forcing) [geophysical](/earth-engine/datasets/tags/geophysical) [gldas](/earth-engine/datasets/tags/gldas) [humidity](/earth-engine/datasets/tags/humidity) [ldas](/earth-engine/datasets/tags/ldas) [nasa](/earth-engine/datasets/tags/nasa) [precipitation](/earth-engine/datasets/tags/precipitation) [pressure](/earth-engine/datasets/tags/pressure) [radiation](/earth-engine/datasets/tags/radiation) [soil](/earth-engine/datasets/tags/soil) [soil-moisture](/earth-engine/datasets/tags/soil-moisture) [surface](/earth-engine/datasets/tags/surface) [temperature](/earth-engine/datasets/tags/temperature) [water-vapor](/earth-engine/datasets/tags/water-vapor) [wind](/earth-engine/datasets/tags/wind) \n\n#### Description\n\nNASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three\ncomponents: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely\nwith the Princeton meteorological forcing input data and provides a temporally\nconsistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination\nof model and observation data from 2000 to present. GLDAS-2.2 product suites use\ndata assimilation (DA), whereas the GLDAS-2.0 and GLDAS-2.1 products are\n\"open-loop\" (i.e., no data assimilation). The choice of forcing data, as well as\nDA observation source, variable, and scheme, vary for different GLDAS-2.2\nproducts.GLDAS-2.2 is new to the GES DISC archive and currently includes a main\nproduct from CLSM-F2.5 with Data Assimilation for the Gravity Recovery and\nClimate Experiment (GRACE-DA) from February 2003 to present. The GLDAS-2.2\ndata are available in two production streams: main and Early, only main one\nis ingested.\n\nThe GLDAS-2.2 GRACE-DA product was simulated with Catchment-F2.5 in Land\nInformation System (LIS) Version 7. The data product contains 24 land\nsurface fields from February 1, 2003 to present.\n\nThe simulation started on February 1, 2003 using the conditions from the\nGLDAS-2.0 Daily Catchment model simulation, forced with the meteorological\nanalysis fields from the operational European Centre for Medium-Range\nWeather Forecasts (ECMWF) Integrated Forecasting System. The total\nterrestrial water anomaly observation from GRACE satellite was assimilated\n(Li et al, 2019). Due to the data agreement with ECMWF, this GLDAS-2.2 daily\nproduct does not include the meteorological forcing fields.\n\nDocumentation:\n\n- [Readme](https://hydro1.gesdisc.eosdis.nasa.gov/data/GLDAS/GLDAS_CLSM025_DA1_D.2.2/doc/README_GLDAS2.pdf)\n\n- [How-to](https://disc.gsfc.nasa.gov/information/howto?tags=hydrology)\n\n- [GES DISC Hydrology Documentation](https://disc.gsfc.nasa.gov/information/documents?title=Hydrology%20Documentation)\n\nProvider's Note: the names with extension _tavg are variables\naveraged over the past 3-hours, the names with extension '_acc' are\nvariables accumulated over the past 3-hours, the names with extension\n'_inst' are instantaneous variables, and the names with '_f' are\nforcing variables.\n\n### Bands\n\n\n**Pixel Size**\n\n27830 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|---------------------|-----------|-------------|------------|------------|-----------------------------------|\n| `ACond_tavg` | m/s | 0.000379\\* | 5.99291\\* | meters | Aerodynamic conductance |\n| `AvgSurfT_tavg` | K | 179.818\\* | 324.265\\* | meters | Average surface skin temperature |\n| `CanopInt_tavg` | kg/m\\^2 | 0\\* | 1.57295\\* | meters | Plant canopy surface water |\n| `ECanop_tavg` | kg/m\\^2/s | -0.021881\\* | 5.3e-05\\* | meters | Canopy water evaporation |\n| `ESoil_tavg` | kg/m\\^2/s | -0.003637\\* | 0.001172\\* | meters | Direct evaporation from bare soil |\n| `EvapSnow_tavg` | kg/m\\^2/s | -0.021057\\* | 0.000728\\* | meters | Snow Evaporation |\n| `Evap_tavg` | kg/m\\^2/s | -0.02737\\* | 0.00121\\* | meters | Evapotranspiration |\n| `GWS_tavg` | mm | 77.0153\\* | 3599.01\\* | meters | Ground water storage |\n| `Lwnet_tavg` | W/m\\^2 | -221.308\\* | 490.842\\* | meters | Net long-wave radiation flux |\n| `Qg_tavg` | W/m\\^2 | -344.072\\* | 174.036\\* | meters | Heat flux |\n| `Qh_tavg` | W/m\\^2 | -2851.75\\* | 54076.7\\* | meters | Sensible heat net flux |\n| `Qle_tavg` | W/m\\^2 | -53856.6\\* | 2983.65\\* | meters | Latent heat net flux |\n| `Qsb_tavg` | kg/m\\^2/s | 0\\* | 0.000416\\* | meters | Baseflow-groundwater runoff |\n| `Qsm_tavg` | kg/m\\^2/s | 0\\* | 0.018311\\* | meters | Snow melt |\n| `Qs_tavg` | kg/m\\^2/s | 0\\* | 0.020244\\* | meters | Storm surface runoff |\n| `SnowDepth_tavg` | m | 0\\* | 8.57951\\* | meters | Snow depth |\n| `SnowT_tavg` | K | 179.818\\* | 324.265\\* | meters | Snow Surface temperature |\n| `SoilMoist_P_tavg` | kg/m\\^2 | 109.394\\* | 4049.02\\* | meters | Profile Soil moisture |\n| `SoilMoist_RZ_tavg` | kg/m\\^2 | 32.3665\\* | 478.397\\* | meters | Root Zone Soil moisture |\n| `SoilMoist_S_tavg` | kg/m\\^2 | 0.001389\\* | 9.56\\* | meters | Surface Soil moisture |\n| `SWE_tavg` | kg/m\\^2 | 0\\* | 3688.07\\* | meters | Snow depth water equivalent |\n| `Swnet_tavg` | W/m\\^2 | 0\\* | 421.784\\* | meters | Net short wave radiation flux |\n| `TVeg_tavg` | kg/m\\^2/s | -0.000371\\* | 0.001654\\* | meters | Transpiration |\n| `TWS_tavg` | mm | 109.394\\* | 5084.16\\* | meters | Terrestrial water storage |\n\n\\* estimated min or max value\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|------------|--------|-------------|\n| end_hour | DOUBLE | End hour |\n| start_hour | DOUBLE | Start hour |\n\n### Terms of Use\n\n**Terms of Use**\n\nDistribution of data from the Goddard Earth Sciences\nData and Information Services Center (GES DISC) is funded by NASA's\nScience Mission Directorate (SMD). Consistent with NASA [Earth\nScience Data and Information Policy](https://www.earthdata.nasa.gov/engage/open-data-services-and-software/data-and-information-policy/),\ndata from the GES DISC archive are available free to the user community.\nFor more information visit the GES DISC [Data Policy](https://disc.sci.gsfc.nasa.gov/citing)\npage.\n\n### Citations\n\nCitations:\n\n- Li, B., M. Rodell, S. Kumar, H. Beaudoing, A. Getirana, B. F. Zaitchik, et\n al. (2019) Global GRACE data assimilation for groundwater and drought\n monitoring: Advances and challenges. Water Resources Research, 55,\n 7564-7586.\n- [Additional references](https://ldas.gsfc.nasa.gov/gldas/GLDASpublications.php)\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('NASA/GLDAS/V022/CLSM/G025/DA1D')\n .filter(ee.Filter.date('2010-06-01', '2010-06-02'));\nvar averageSurfaceSkinTemperatureK = dataset.select('AvgSurfT_tavg');\nvar averageSurfaceSkinTemperatureKVis = {\n min: 258,\n max: 316,\n palette: ['1303ff', '42fff6', 'f3ff40', 'ff5d0f'],\n};\nMap.setCenter(71.72, 52.48, 3.0);\nMap.addLayer(\n averageSurfaceSkinTemperatureK, averageSurfaceSkinTemperatureKVis,\n 'Average Surface Skin Temperature [K]');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/NASA/NASA_GLDAS_V022_CLSM_G025_DA1D) \n[GLDAS-2.2: Global Land Data Assimilation System](/earth-engine/datasets/catalog/NASA_GLDAS_V022_CLSM_G025_DA1D) \nNASA 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 ... \nNASA/GLDAS/V022/CLSM/G025/DA1D, 3-hourly,climate,cryosphere,evaporation,forcing,geophysical,gldas,humidity,ldas,nasa,precipitation,pressure,radiation,soil,soil-moisture,surface,temperature,water-vapor,wind \n2003-01-01T03:00:00Z/2025-05-31T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://doi.org/10.5067/TXBMLX370XX8)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V022_CLSM_G025_DA1D)"]]
