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Felfelani_GRL2018_Utilizing_SMAP_to_Improve_Irrigation_in_CLM_Fig_3

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Type:	Resource
Storage:	The size of this resource is 12.3 MB
Created:	May 22, 2020 at 7:12 p.m.
Last updated:	Nov 11, 2020 at 8:37 p.m.
Citation:	See how to cite this resource
Content types:	Multidimensional Content

Sharing Status:	Public
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Abstract

Irrigation representation in land surface models has been advanced over the past decade, but the soil moisture (SM) data from SMAP satellite have not yet been utilized in large-scale irrigation modeling. Here we investigate the potential of improving irrigation representation in the Community Land Model version-4.5 (CLM4.5) by assimilating SMAP data. Simulations are conducted over the heavily irrigated central U.S. region. We find that constraining the target SM in CLM4.5 using SMAP data assimilation with 1-D Kalman filter reduces the root-mean-square error of simulated irrigation water requirement by 50% on average (for Nebraska, Kansas, and Texas) and significantly improves irrigation simulations by reducing the bias in irrigation water requirement by up to 60%. An a priori bias correction of SMAP data further improves these results in some regions but incrementally. Data assimilation also enhances SM simulations in CLM4.5. These results could provide a basis for improved modeling of irrigation and land-atmosphere interactions.

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Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Central United States

North Latitude

50.0000°

East Longitude

-92.0000°

South Latitude

30.0000°

West Longitude

-116.0000°

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Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

THREDDS Data Service

https://thredds.hydroshare.org/thredds/catalog/hydroshare/resources/cc7365bbc2794028be5e9db9219259d5/data/contents/catalog.html

THREDDS Documentation OPeNDAP Documentation

Related Resources

The content of this resource is derived from

https://waterdata.usgs.gov/nwis/water_use/

Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
The National Science Foundation		1752729

How to Cite

Felfelani, F., Y. Pokhrel (2020). Felfelani_GRL2018_Utilizing_SMAP_to_Improve_Irrigation_in_CLM_Fig_3, HydroShare, http://www.hydroshare.org/resource/cc7365bbc2794028be5e9db9219259d5

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

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