Il sistema globale di assimilazione dei dati terrestri (GLDAS-2) della NASA è composto da tre componenti: GLDAS-2.0, GLDAS-2.1 e GLDAS-2.2. GLDAS-2.0 è forzato interamente
con i dati di input di forzatura meteorologica di Princeton e fornisce una serie
temporalmente coerente dal 1948 al 2014. GLDAS-2.1 è forzato con una combinazione
di dati di modelli e osservazioni dal 2000 a oggi. Le suite di prodotti GLDAS-2.2 utilizzano
l'assimilazione dei dati (DA), mentre i prodotti GLDAS-2.0 e GLDAS-2.1 sono
"open-loop" (ovvero senza assimilazione dei dati). La scelta di forzare i dati, nonché
l'origine, la variabile e lo schema di osservazione DA, varia per i diversi prodotti GLDAS-2.2.GLDAS-2.2 è una novità dell'archivio GES DISC e attualmente include un prodotto principale di CLSM-F2.5 con assimilazione dei dati per il Gravity Recovery and Climate Experiment (GRACE-DA) da febbraio 2003 a oggi. I dati GLDAS-2.2
sono disponibili in due flussi di produzione: principale e Early, ma viene importato solo quello principale.
Il prodotto GLDAS-2.2 GRACE-DA è stato simulato con Catchment-F2.5 in Land
Information System (LIS) versione 7. Il prodotto di dati contiene 24 campi
della superficie terrestre dal 1° febbraio 2003 a oggi.
La simulazione è iniziata il 1° febbraio 2003 utilizzando le condizioni della
simulazione del modello GLDAS-2.0 Daily Catchment, forzata con i campi di analisi
meteorologica del sistema di previsione integrato del Centro europeo per le previsioni
meteorologiche a medio termine (ECMWF) operativo. È stata assimilata l'osservazione dell'anomalia idrica terrestre totale dal satellite GRACE (Li et al, 2019). A causa dell'accordo sui dati con l'ECMWF, questo prodotto giornaliero GLDAS-2.2 non include i campi di forzatura meteorologica.
Nota del fornitore: i nomi con estensione _tavg sono variabili
calcolate in media nelle ultime 3 ore, i nomi con estensione "_acc" sono
variabili accumulate nelle ultime 3 ore, i nomi con estensione
"_inst" sono variabili istantanee e i nomi con "_f" sono
variabili forzanti.
Bande
Dimensioni pixel 27830 metri
Bande
Nome
Unità
Min
Max
Dimensioni dei pixel
Descrizione
ACond_tavg
m/s
0,000379*
5,99291*
metri
Conduttanza aerodinamica
AvgSurfT_tavg
K
179.818*
324.265*
metri
Temperatura media della superficie cutanea
CanopInt_tavg
kg/m^2
0*
1,57295*
metri
Acqua superficiale della copertura vegetale
ECanop_tavg
kg/m^2/s
-0,021881*
5,3e-05*
metri
Evaporazione dell'acqua della chioma
ESoil_tavg
kg/m^2/s
-0.003637*
0,001172*
metri
Evaporazione diretta dal terreno nudo
EvapSnow_tavg
kg/m^2/s
-0.021057*
0,000728*
metri
Evaporazione della neve
Evap_tavg
kg/m^2/s
-0.02737*
0,00121*
metri
Evapotraspirazione
GWS_tavg
mm
77.0153*
3599,01*
metri
Archiviazione delle acque sotterranee
Lwnet_tavg
W/m^2
-221.308*
490.842*
metri
Flusso netto di radiazione a onde lunghe
Qg_tavg
W/m^2
-344.072*
174.036*
metri
Flusso termico
Qh_tavg
W/m^2
-2851,75*
54076,7*
metri
Flusso netto di calore sensibile
Qle_tavg
W/m^2
-53856,6*
2983,65*
metri
Flusso netto di calore latente
Qsb_tavg
kg/m^2/s
0*
0,000416*
metri
Deflusso di base-deflusso delle acque sotterranee
Qsm_tavg
kg/m^2/s
0*
0,018311*
metri
Scioglimento della neve
Qs_tavg
kg/m^2/s
0*
0,020244*
metri
Deflusso superficiale delle acque piovane
SnowDepth_tavg
m
0*
8,57951*
metri
Altezza della neve
SnowT_tavg
K
179.818*
324.265*
metri
Temperatura della superficie della neve
SoilMoist_P_tavg
kg/m^2
109,394*
4049,02*
metri
Profilo Umidità del terreno
SoilMoist_RZ_tavg
kg/m^2
32,3665*
478.397*
metri
Umidità del terreno della zona principale
SoilMoist_S_tavg
kg/m^2
0,001389*
9,56*
metri
Umidità del suolo superficiale
SWE_tavg
kg/m^2
0*
3688,07*
metri
Equivalente in acqua della profondità della neve
Swnet_tavg
W/m^2
0*
421.784*
metri
Flusso netto di radiazione a onde corte
TVeg_tavg
kg/m^2/s
-0.000371*
0,001654*
metri
Traspirazione
TWS_tavg
mm
109,394*
5084,16*
metri
Accumulo di acqua terrestre
* valore minimo o massimo stimato
Proprietà immagini
Proprietà immagine
Nome
Tipo
Descrizione
end_hour
DOUBLE
Ora di fine
start_hour
DOUBLE
Ora di inizio
Termini e condizioni d'uso
Termini e condizioni d'uso
La distribuzione dei dati del Goddard Earth Sciences
Data and Information Services Center (GES DISC) è finanziata dalla
Science Mission Directorate (SMD) della NASA. In linea con le norme
sui dati e sulle informazioni scientifiche della Terra della NASA, i dati dell'archivio GES DISC sono disponibili senza costi per la community di utenti.
Per maggiori informazioni, visita la pagina Norme sui dati
di GES DISC.
Citazioni
Citazioni:
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.
Il sistema di assimilazione dei dati globali sulla terra della NASA versione 2 (GLDAS-2) è composto da tre componenti: GLDAS-2.0, GLDAS-2.1 e GLDAS-2.2. GLDAS-2.0 è forzato interamente con i dati di input di forzatura meteorologica di Princeton e fornisce una serie temporalmente coerente dal 1948 al 2014. GLDAS-2.1 è forzato con una combinazione di dati di modelli e osservazioni dal 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)"]]
