El Sistema Global de Asimilación de Datos Terrestres de la NASA, versión 2 (GLDAS-2), tiene tres componentes: GLDAS-2.0, GLDAS-2.1 y GLDAS-2.2. GLDAS-2.0 se basa por completo en los datos de entrada de forzamiento meteorológico de Princeton y proporciona una serie temporal coherente desde 1948 hasta 2014. GLDAS-2.1 se fuerza con una combinación de datos de observación y del modelo desde el año 2000 hasta el presente. Los conjuntos de productos de GLDAS-2.2 usan la asimilación de datos (AD), mientras que los productos de GLDAS-2.0 y GLDAS-2.1 son de "bucle abierto" (es decir, sin asimilación de datos). La elección de los datos de forzamiento, así como la fuente, la variable y el esquema de observación de DA, varían para los diferentes productos de GLDAS-2.2.GLDAS-2.2 es nuevo en el archivo de GES DISC y, actualmente, incluye un producto principal de CLSM-F2.5 con asimilación de datos para el experimento de recuperación de gravedad y clima (GRACE-DA) desde febrero de 2003 hasta el presente. Los datos de GLDAS-2.2 están disponibles en dos flujos de producción: principal y anticipado. Solo se ingiere el principal.
El producto GLDAS-2.2 GRACE-DA se simuló con Catchment-F2.5 en la versión 7 del Sistema de información de la tierra (LIS). El producto de datos contiene 24 campos de superficie terrestre desde el 1 de febrero de 2003 hasta la actualidad.
La simulación comenzó el 1 de febrero de 2003 con las condiciones de la simulación del modelo de cuenca diaria GLDAS-2.0, forzada con los campos de análisis meteorológico del Sistema de previsión integrado del Centro Europeo de Previsiones Meteorológicas a Plazo Medio (ECMWF) operativo. Se asimiló la observación total de anomalías de agua terrestre del satélite GRACE (Li et al., 2019). Debido al acuerdo de datos con ECMWF, este producto diario de GLDAS-2.2 no incluye los campos de forzamiento meteorológico.
Nota del proveedor: Los nombres con la extensión _tavg son variables promediadas en las últimas 3 horas, los nombres con la extensión "_acc" son variables acumuladas en las últimas 3 horas, los nombres con la extensión "_inst" son variables instantáneas y los nombres con "_f" son variables de forzamiento.
Bandas
Tamaño de píxel 27830 metros
Bandas
Nombre
Unidades
Mín.
Máx.
Tamaño de los píxeles
Descripción
ACond_tavg
m/s
0.000379*
5.99291*
metros
Conductancia aerodinámica
AvgSurfT_tavg
K
179,818*
324.265*
metros
Temperatura promedio de la piel en la superficie
CanopInt_tavg
kg/m²
0*
1.57295*
metros
Agua superficial de la cobertura vegetal
ECanop_tavg
kg/m²/s
-0.021881*
5.3e-05*
metros
Evaporación del agua del dosel
ESoil_tavg
kg/m²/s
-0.003637*
0.001172*
metros
Evaporación directa del suelo desnudo
EvapSnow_tavg
kg/m²/s
-0.021057*
0.000728*
metros
Evaporación de la nieve
Evap_tavg
kg/m²/s
-0.02737*
0.00121*
metros
Evapotranspiración
GWS_tavg
mm
77.0153*
3599.01*
metros
Almacenamiento de agua subterránea
Lwnet_tavg
W/m²
-221.308*
490.842*
metros
Flujo neto de radiación de onda larga
Qg_tavg
W/m²
-344.072*
174.036*
metros
Flujo de calor
Qh_tavg
W/m²
-2851.75*
54076.7*
metros
Flujo neto de calor sensible
Qle_tavg
W/m²
-53856.6*
2983.65*
metros
Flujo neto de calor latente
Qsb_tavg
kg/m²/s
0*
0.000416*
metros
Escorrentía de aguas subterráneas y flujo base
Qsm_tavg
kg/m²/s
0*
0.018311*
metros
Deshielo
Qs_tavg
kg/m²/s
0*
0.020244*
metros
Escorrentía superficial de tormentas
SnowDepth_tavg
m
0*
8.57951*
metros
Profundidad de la nieve
SnowT_tavg
K
179,818*
324.265*
metros
Temperatura de la superficie de la nieve
SoilMoist_P_tavg
kg/m²
109.394*
4049.02*
metros
Perfil de humedad del suelo
SoilMoist_RZ_tavg
kg/m²
32.3665*
478.397*
metros
Humedad del suelo en la zona radicular
SoilMoist_S_tavg
kg/m²
0.001389*
9.56*
metros
Humedad del suelo superficial
SWE_tavg
kg/m²
0*
3688.07*
metros
Equivalente en agua de la profundidad de la nieve
Swnet_tavg
W/m²
0*
421.784*
metros
Flujo neto de radiación de onda corta
TVeg_tavg
kg/m²/s
-0.000371*
0.001654*
metros
Transpiración
TWS_tavg
mm
109.394*
5,084.16*
metros
Almacenamiento de agua terrestre
* Valor mínimo o máximo estimado
Propiedades de imágenes
Propiedades de la imagen
Nombre
Tipo
Descripción
end_hour
DOUBLE
Hora de finalización
start_hour
DOUBLE
Hora de inicio
Condiciones de Uso
Condiciones de Uso
La distribución de datos del Centro de Servicios de Datos e Información de Ciencias de la Tierra de Goddard (GES DISC) se financia con fondos de la Dirección de Misiones Científicas (SMD) de la NASA. De conformidad con la Política de Datos e Información de Ciencias de la Tierra de la NASA, los datos del archivo de GES DISC están disponibles de forma gratuita para la comunidad de usuarios.
Para obtener más información, visita la página de la Política de Datos del GES DISC.
Citas
Citas:
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.
El Sistema Global de Asimilación de Datos Terrestres de la NASA, versión 2 (GLDAS-2), tiene tres componentes: GLDAS-2.0, GLDAS-2.1 y GLDAS-2.2. GLDAS-2.0 se basa por completo en los datos de entrada de forzamiento meteorológico de Princeton y proporciona una serie temporal coherente desde 1948 hasta 2014. GLDAS-2.1 se fuerza con una combinación de datos de observación y del modelo desde el año 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)"]]
