Zbiór danych FLDAS (McNally i in. 2017) został opracowany, aby ułatwić ocenę bezpieczeństwa żywnościowego w krajach rozwijających się o ograniczonym dostępie do danych. Zawiera informacje o wielu zmiennych związanych z klimatem, w tym o zawartości wilgoci, wilgotności, ewapotranspiracji, średniej temperaturze gleby, całkowitym tempie opadów itp.
Istnieje wiele różnych zbiorów danych FLDAS.Ten korzysta z modelu powierzchniowego Noah w wersji 3.6.1 z godzinowymi danymi o opadach deszczu CHIRPS-6, które zostały przeskalowane w dół za pomocą zestawu narzędzi NASA Land Surface Data Toolkit, który jest częścią platformy Land Information System. Wymagana jest dezagregacja czasowa, aby dane wejściowe dotyczące opadów dziennych mogły być używane w obliczeniach bilansu energii i wody.
W przypadku danych wymuszających symulacja wykorzystuje połączenie nowej wersji analizy retrospektywnej z okresu współczesnego na potrzeby badań i zastosowań, wersja 2 (MERRA-2), oraz danych CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data), czyli quasi-globalnego zbioru danych o opadach deszczu przeznaczonego do sezonowego monitorowania suszy i analizy trendów (Funk i in., 2015).
Powierzchniowe promieniowanie krótkofalowe skierowane w dół
SWE_inst
kg/m^2
metry
Równoważnik wodny śniegu
Swnet_tavg
W/m^2
metry
Net shortwave radiation flux
Tair_f_tavg
K
metry
Temperatura powietrza przy powierzchni
Wind_f_tavg
m/s
metry
Prędkość wiatru przy powierzchni
Warunki korzystania z usługi
Warunki korzystania z usługi
Dystrybucja danych z Centrum Danych i Usług Informacyjnych Goddard Earth Sciences (GES DISC) jest finansowana przez Dyrekcję Misji Naukowych (SMD) NASA. Zgodnie z polityką NASA dotyczącą danych i informacji o naukach o Ziemi dane z archiwum GES DISC są dostępne bezpłatnie dla społeczności użytkowników.
Więcej informacji znajdziesz na stronie Data Policy (Zasady dotyczące danych) w GES DISC.
Cytaty
Cytowania:
Jeśli używasz tych danych w swoich badaniach lub aplikacjach, w publikacjach podaj odniesienie podobne do tego przykładu:
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), Accessed:
[Data Access Date], 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). System asymilacji danych o lądzie na potrzeby bezpieczeństwa żywnościowego i wodnego w Afryce Subsaharyjskiej. Scientific Data, 4, 170012.
Zbiór danych FLDAS (McNally i in. 2017) został opracowany, aby ułatwić ocenę bezpieczeństwa żywnościowego w krajach rozwijających się o ograniczonym dostępie do danych. Zawiera informacje o wielu zmiennych związanych z klimatem, w tym o zawartości wilgoci, wilgotności, ewapotranspiracji, średniej temperaturze gleby, całkowitym tempie opadów itp. Istnieje wiele różnych zbiorów danych FLDAS. Ten korzysta z wersji 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)"]]
