L'ensemble de données FLDAS (McNally et al. 2017) a été conçu pour faciliter les évaluations de la sécurité alimentaire dans les pays en développement où les données sont rares. Il inclut des informations sur de nombreuses variables liées au climat, y compris la teneur en humidité, l'humidité, l'évapotranspiration, la température moyenne du sol, le taux de précipitation total, etc.
Il existe plusieurs ensembles de données FLDAS différents.Celui-ci utilise le modèle de surface Noah version 3.6.1 avec des précipitations horaires CHIRPS-6 qui ont été réduites à l'aide de l'outil NASA Land Surface Data Toolkit, qui fait partie du framework Land Information System. La désagrégation temporelle est nécessaire pour que les données quotidiennes sur les précipitations puissent être utilisées dans les calculs du bilan énergétique et hydrique.
Pour forcer les données, cette simulation utilise une combinaison de la nouvelle version des données MERRA-2 (Modern-Era Retrospective analysis for Research and Applications version 2) et des données CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data), un ensemble de données quasi mondiales sur les précipitations conçu pour la surveillance saisonnière de la sécheresse et l'analyse des tendances (Funk et al., 2015).
Flux net de rayonnement de grandes longueurs d'onde
Psurf_f_tavg
Pa
mètres
Pression de surface
Qair_f_tavg
Fraction massique
mètres
Humidité spécifique
Qg_tavg
W/m^2
mètres
Flux de chaleur du sol
Qh_tavg
W/m^2
mètres
Flux net de chaleur sensible
Qle_tavg
W/m^2
mètres
Flux net de chaleur latente
Qs_tavg
kg/m^2/s
mètres
Ruissellement des eaux de pluie
Qsb_tavg
kg/m^2/s
mètres
Écoulement des eaux souterraines (débit de base)
RadT_tavg
K
mètres
Température radiative de surface
Rainf_f_tavg
kg/m^2/s
mètres
Taux de précipitations total
SnowCover_inst
mètres
Fraction de couverture neigeuse
SnowDepth_inst
m
mètres
Épaisseur de la neige
Snowf_tavg
kg/m^2/s
mètres
Taux de chutes de neige
SoilMoi00_10cm_tavg
Fraction volumique
mètres
Humidité du sol (0 à 10 cm sous terre)
SoilMoi10_40cm_tavg
Fraction volumique
mètres
Humidité du sol (10 à 40 cm sous terre)
SoilMoi100_200cm_tavg
Fraction volumique
mètres
Humidité du sol (100 à 200 cm sous terre)
SoilMoi40_100cm_tavg
Fraction volumique
mètres
Humidité du sol (40 à 100 cm sous terre)
SoilTemp00_10cm_tavg
K
mètres
Température du sol (0 à 10 cm sous terre)
SoilTemp10_40cm_tavg
K
mètres
Température du sol (entre 10 et 40 cm de profondeur)
SoilTemp100_200cm_tavg
K
mètres
Température du sol (100 à 200 cm sous terre)
SoilTemp40_100cm_tavg
K
mètres
Température du sol (entre 40 et 100 cm de profondeur)
SWdown_f_tavg
W/m^2
mètres
Rayonnement à ondes courtes descendant en surface
SWE_inst
kg/m^2
mètres
Équivalent en eau de la neige
Swnet_tavg
W/m^2
mètres
Flux de rayonnement à ondes courtes net
Tair_f_tavg
K
mètres
Température de l'air près de la surface
Wind_f_tavg
m/s
mètres
Vitesse du vent près de la surface
Conditions d'utilisation
Conditions d'utilisation
La distribution des données du Goddard Earth Sciences Data and Information Services Center (GES DISC) est financée par la Science Mission Directorate (SMD) de la NASA. Conformément à la politique de la NASA sur les données et informations scientifiques sur la Terre, les données de l'archive GES DISC sont disponibles sans frais pour la communauté des utilisateurs.
Pour en savoir plus, consultez la page Règles concernant les données du GES DISC.
Citations
Citations :
Si vous utilisez ces données dans vos recherches ou applications, veuillez inclure une référence dans vos publications, comme dans l'exemple suivant : Amy McNally NASA/GSFC/HSL (2018), FLDAS Noah Land Surface Model L4 Global Monthly 0.1 x 0.1 degree (MERRA-2 and CHIRPS), Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), consulté le : [date d'accès aux données], doi:10.5067/5NHC22T9375G.
McNally, A., Arsenault, K., Kumar, S., Shukla, S., Peterson, P., Wang, S., Funk, C.,
Peters-Lidard, C.D., & Verdin, J. P. (2017). Un système d'assimilation des données terrestres pour les applications de sécurité alimentaire et hydrique en Afrique subsaharienne. Scientific Data, 4, 170012.
L'ensemble de données FLDAS (McNally et al. 2017) a été conçu pour faciliter les évaluations de la sécurité alimentaire dans les pays en développement où les données sont rares. Il inclut des informations sur de nombreuses variables liées au climat, y compris la teneur en humidité, l'humidité, l'évapotranspiration, la température moyenne du sol, le taux de précipitation total, etc. Il existe plusieurs ensembles de données FLDAS différents. Celui-ci utilise la version Noah …
[null,null,[],[[["\u003cp\u003eThe FLDAS dataset provides monthly climate-related variables like moisture, humidity, evapotranspiration, soil temperature, and precipitation for food security assessments, especially in developing countries.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset, spanning from 1982 to 2024, utilizes the Noah 3.6.1 surface model with CHIRPS-6 hourly rainfall downscaled using the NASA Land Surface Data Toolkit.\u003c/p\u003e\n"],["\u003cp\u003eIt incorporates MERRA-2 and CHIRPS data for forcing and offers a global coverage at a resolution of 11132 meters.\u003c/p\u003e\n"],["\u003cp\u003eFreely available through NASA's GES DISC, users are encouraged to cite the dataset and related publications when using it for research or applications.\u003c/p\u003e\n"]]],["The FLDAS dataset, available from 1982-01-01 to 2025-01-01, is provided monthly by NASA GES DISC. It uses the Noah 3.6.1 surface model and combines MERRA-2 and CHIRPS data. Designed for food security assessments, the dataset includes climate variables like evapotranspiration, humidity, soil temperature, precipitation, and soil moisture across various depths, plus wind. It is available on Google Earth Engine, which is free for research, education and nonprofit use, where you can access the dataset using the provided code snippet.\n"],null,["# FLDAS: Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System\n\nDataset Availability\n: 1982-01-01T00:00:00Z--2025-07-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [NASA GES DISC at NASA Goddard Space Flight Center](https://doi.org/10.5067/5NHC22T9375G)\n\nCadence\n: 1 Month\n\nTags\n:\n [climate](/earth-engine/datasets/tags/climate) [cryosphere](/earth-engine/datasets/tags/cryosphere) [evapotranspiration](/earth-engine/datasets/tags/evapotranspiration) [humidity](/earth-engine/datasets/tags/humidity) [ldas](/earth-engine/datasets/tags/ldas) [monthly](/earth-engine/datasets/tags/monthly) [nasa](/earth-engine/datasets/tags/nasa) [precipitation](/earth-engine/datasets/tags/precipitation) [runoff](/earth-engine/datasets/tags/runoff) [snow](/earth-engine/datasets/tags/snow) [soil](/earth-engine/datasets/tags/soil) [soil-moisture](/earth-engine/datasets/tags/soil-moisture) [soil-temperature](/earth-engine/datasets/tags/soil-temperature) [temperature](/earth-engine/datasets/tags/temperature) [water-vapor](/earth-engine/datasets/tags/water-vapor) [wind](/earth-engine/datasets/tags/wind) \n famine \nfldas \n\n#### Description\n\nThe FLDAS dataset (McNally et al. 2017), was designed to assist with food\nsecurity assessments in data-sparse, developing country settings. It\nincludes information on many climate-related variables including moisture\ncontent, humidity, evapotranspiration, average soil temperature, total\nprecipitation rate, etc.\n\nThere are multiple different FLDAS datasets; this one uses Noah version\n3.6.1 surface model with CHIRPS-6 hourly rainfall that has been\ndownscaled using the [NASA Land Surface Data Toolkit](https://lis.gsfc.nasa.gov/software/ldt).\nwhich is part of the [Land Information System\nframework](/earth-engine/datasets/catalog/LIS;%20%5Bhttps:/lis.gsfc.nasa.gov/%5D(https:/lis.gsfc.nasa.gov/)). Temporal desegregation is required so that daily\nrainfall inputs can be used in both energy and water balance calculations\n\nFor forcing data, this simulation uses a combination of the new version of Modern-Era\nRetrospective analysis for Research and Applications version 2 (MERRA-2) data and Climate\nHazards Group InfraRed Precipitation with Station data (CHIRPS), a quasi-global rainfall\ndataset designed for seasonal drought monitoring and trend analysis (Funk et al., 2015).\n\nDocumentation:\n\n- [Readme](https://hydro1.gesdisc.eosdis.nasa.gov/data/FLDAS/FLDAS_NOAH01_C_GL_M.001/doc/README_FLDAS.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\n### Bands\n\n\n**Pixel Size**\n\n11132 meters\n\n**Bands**\n\n| Name | Units | Pixel Size | Description |\n|--------------------------|-----------------|------------|---------------------------------------------|\n| `Evap_tavg` | kg/m\\^2/s | meters | Evapotranspiration |\n| `LWdown_f_tavg` | W/m\\^2 | meters | Downward longwave radiation flux |\n| `Lwnet_tavg` | W/m\\^2 | meters | Net longwave radiation flux |\n| `Psurf_f_tavg` | Pa | meters | Surface pressure |\n| `Qair_f_tavg` | Mass fraction | meters | Specific humidity |\n| `Qg_tavg` | W/m\\^2 | meters | Soil heat flux |\n| `Qh_tavg` | W/m\\^2 | meters | Sensible heat net flux |\n| `Qle_tavg` | W/m\\^2 | meters | Latent heat net flux |\n| `Qs_tavg` | kg/m\\^2/s | meters | Storm surface runoff |\n| `Qsb_tavg` | kg/m\\^2/s | meters | Baseflow-groundwater runoff |\n| `RadT_tavg` | K | meters | Surface radiative temperature |\n| `Rainf_f_tavg` | kg/m\\^2/s | meters | Total precipitation rate |\n| `SnowCover_inst` | | meters | Snow cover fraction |\n| `SnowDepth_inst` | m | meters | Snow depth |\n| `Snowf_tavg` | kg/m\\^2/s | meters | Snowfall rate |\n| `SoilMoi00_10cm_tavg` | Volume fraction | meters | Soil moisture (0 - 10 cm underground) |\n| `SoilMoi10_40cm_tavg` | Volume fraction | meters | Soil moisture (10 - 40 cm underground) |\n| `SoilMoi100_200cm_tavg` | Volume fraction | meters | Soil moisture (100 - 200 cm underground) |\n| `SoilMoi40_100cm_tavg` | Volume fraction | meters | Soil moisture (40 - 100 cm underground) |\n| `SoilTemp00_10cm_tavg` | K | meters | Soil temperature (0 - 10 cm underground) |\n| `SoilTemp10_40cm_tavg` | K | meters | Soil temperature (10 - 40 cm underground) |\n| `SoilTemp100_200cm_tavg` | K | meters | Soil temperature (100 - 200 cm underground) |\n| `SoilTemp40_100cm_tavg` | K | meters | Soil temperature (40 - 100 cm underground) |\n| `SWdown_f_tavg` | W/m\\^2 | meters | Surface downward shortwave radiation |\n| `SWE_inst` | kg/m\\^2 | meters | Snow water equivalent |\n| `Swnet_tavg` | W/m\\^2 | meters | Net shortwave radiation flux |\n| `Tair_f_tavg` | K | meters | Near surface air temperature |\n| `Wind_f_tavg` | m/s | meters | Near surface wind speed |\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- If you use these data in your research or applications, please include a\n reference in your publication(s) similar to the following example:\n Amy McNally NASA/GSFC/HSL (2018), FLDAS Noah Land Surface Model L4 Global\n Monthly 0.1 x 0.1 degree (MERRA-2 and CHIRPS), Greenbelt, MD, USA, Goddard\n Earth Sciences Data and Information Services Center (GES DISC), Accessed:\n \\[Data Access Date\\], [doi:10.5067/5NHC22T9375G](https://doi.org/10.5067/5NHC22T9375G)\n- McNally, A., Arsenault, K., Kumar, S., Shukla, S., Peterson, P., Wang, S., Funk, C.,\n Peters-Lidard, C.D., \\& Verdin, J. P. (2017). A land data assimilation system for\n sub-Saharan Africa food and water security applications. Scientific Data, 4, 170012.\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/FLDAS/NOAH01/C/GL/M/V001')\n .filter(ee.Filter.date('2018-11-01', '2018-12-01'));\nvar layer = dataset.select('Evap_tavg');\n\nvar band_viz = {\n min: 0.0,\n max: 0.00005,\n opacity: 1.0,\n palette: ['black', 'blue', 'purple', 'cyan', 'green', 'yellow', 'red']\n};\n\nMap.setCenter(30.0, 30.0, 2);\nMap.addLayer(layer, band_viz, 'Average Evapotranspiration');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/NASA/NASA_FLDAS_NOAH01_C_GL_M_V001) \n[FLDAS: Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System](/earth-engine/datasets/catalog/NASA_FLDAS_NOAH01_C_GL_M_V001) \nThe FLDAS dataset (McNally et al. 2017), was designed to assist with food security assessments in data-sparse, developing country settings. It includes information on many climate-related variables including moisture content, humidity, evapotranspiration, average soil temperature, total precipitation rate, etc. There are multiple different FLDAS datasets; this one uses Noah version ... \nNASA/FLDAS/NOAH01/C/GL/M/V001, climate,cryosphere,evapotranspiration,humidity,ldas,monthly,nasa,precipitation,runoff,snow,soil,soil-moisture,soil-temperature,temperature,water-vapor,wind \n1982-01-01T00:00:00Z/2025-07-01T00:00:00Z \n-60 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://doi.org/10.5067/5NHC22T9375G)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/NASA_FLDAS_NOAH01_C_GL_M_V001)"]]
