FLDAS: Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System

Dataset Availability

1982-01-01T00:00:00Z–2024-09-01T00:00:00Z

Dataset Provider

NASA GES DISC at NASA Goddard Space Flight Center

Earth Engine Snippet

ee.ImageCollection("NASA/FLDAS/NOAH01/C/GL/M/V001")

Tags

climate evapotranspiration humidity ldas monthly nasa runoff snow soil-moisture temperature wind

famine

fldas

soil-temperature

Description

The 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 3.6.1 surface model with CHIRPS-6 hourly rainfall that has been downscaled using the NASA Land Surface Data Toolkit. which is part of the Land Information System framework. Temporal desegregation is required so that daily rainfall inputs can be used in both energy and water balance calculations

For forcing data, this simulation uses a combination of the new version of Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) data and Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), a quasi-global rainfall dataset designed for seasonal drought monitoring and trend analysis (Funk et al., 2015).

Documentation:

• Readme

• How-to

• GES DISC Hydrology Documentation

Bands

Resolution
11132 meters

Bands

Name	Units	Description
Evap_tavg	kg/m^2/s	Evapotranspiration
LWdown_f_tavg	W/m^2	Downward longwave radiation flux
Lwnet_tavg	W/m^2	Net longwave radiation flux
Psurf_f_tavg	Pa	Surface pressure
Qair_f_tavg	Mass fraction	Specific humidity
Qg_tavg	W/m^2	Soil heat flux
Qh_tavg	W/m^2	Sensible heat net flux
Qle_tavg	W/m^2	Latent heat net flux
Qs_tavg	kg/m^2/s	Storm surface runoff
Qsb_tavg	kg/m^2/s	Baseflow-groundwater runoff
RadT_tavg	K	Surface radiative temperature
Rainf_f_tavg	kg/m^2/s	Total precipitation rate
SnowCover_inst		Snow cover fraction
SnowDepth_inst	m	Snow depth
Snowf_tavg	kg/m^2/s	Snowfall rate
SoilMoi00_10cm_tavg	Volume fraction	Soil moisture (0 - 10 cm underground)
SoilMoi10_40cm_tavg	Volume fraction	Soil moisture (10 - 40 cm underground)
SoilMoi100_200cm_tavg	Volume fraction	Soil moisture (100 - 200 cm underground)
SoilMoi40_100cm_tavg	Volume fraction	Soil moisture (40 - 100 cm underground)
SoilTemp00_10cm_tavg	K	Soil temperature (0 - 10 cm underground)
SoilTemp10_40cm_tavg	K	Soil temperature (10 - 40 cm underground)
SoilTemp100_200cm_tavg	K	Soil temperature (100 - 200 cm underground)
SoilTemp40_100cm_tavg	K	Soil temperature (40 - 100 cm underground)
SWdown_f_tavg	W/m^2	Surface downward shortwave radiation
SWE_inst	kg/m^2	Snow water equivalent
Swnet_tavg	W/m^2	Net shortwave radiation flux
Tair_f_tavg	K	Near surface air temperature
Wind_f_tavg	m/s	Near surface wind speed

Terms of Use

Terms of Use

Distribution of data from the Goddard Earth Sciences Data and Information Services Center (GES DISC) is funded by NASA's Science Mission Directorate (SMD). Consistent with NASA Earth Science Data and Information Policy, data from the GES DISC archive are available free to the user community. For more information visit the GES DISC Data Policy page.

Citations

Citations:

• If you use these data in your research or applications, please include a reference in your publication(s) similar to the following example: 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). A land data assimilation system for sub-Saharan Africa food and water security applications. Scientific Data, 4, 170012.

Explore with Earth Engine

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.

Code Editor (JavaScript)

var dataset=ee.ImageCollection('NASA/FLDAS/NOAH01/C/GL/M/V001')
              .filter(ee.Filter.date('2018-11-01', '2018-12-01'));
var layer = dataset.select('Evap_tavg');

var band_viz = {
  min: 0.0,
  max: 0.00005,
  opacity: 1.0,
  palette: ['black', 'blue', 'purple', 'cyan', 'green', 'yellow', 'red']
};

Map.setCenter(30.0, 30.0, 2);
Map.addLayer(layer, band_viz, 'Average Evapotranspiration');

Open in Code Editor

FLDAS: Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System

The 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 …

NASA/FLDAS/NOAH01/C/GL/M/V001, climate,evapotranspiration,humidity,ldas,monthly,nasa,runoff,snow,soil-moisture,temperature,wind

1982-01-01T00:00:00Z/2024-09-01T00:00:00Z

-60.0 -180.0 90.0 180.0

Google Earth Engine

https://developers.google.com/earth-engine/datasets