@article{c83979e3bb90421495fb76fb4c270e27,
title = "Utilizing SMAP Soil Moisture Data to Constrain Irrigation in the Community Land Model",
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.",
keywords = "CLM, SMAP, bias correction, data assimilation, irrigation",
author = "Farshid Felfelani and Yadu Pokhrel and Kaiyu Guan and Lawrence, {David M.}",
note = "Funding Information: This study was partly supported by the National Science Foundation (award 1752729). We acknowledge computing support from Cheyenne (doi:10.5065/ D6RX99HX). D. M. L. is supported by U.S. Department of Agriculture grant 2015-67003-23489. We thank Jonas J{\"a}germeyr for providing irrigation efficiency data sets. SMAP data are available at https://nsidc.org/data/ smap/smap-data.html, ground-based SM is available at https://www.wcc.nrcs. usda.gov, and USGS irrigation data are available at https://water.usgs.gov/ watuse/data/index.html. Funding Information: This study was partly supported by the National Science Foundation (award 1752729). We acknowledge computing support from Cheyenne (doi:10.5065/D6RX99HX). D. M. L. is supported by U.S. Department of Agriculture grant 2015-67003-23489. We thank Jonas J?germeyr for providing irrigation efficiency data sets. SMAP data are available at https://nsidc.org/data/smap/smap-data.html, ground-based SM is available at https://www.wcc.nrcs.usda.gov, and USGS irrigation data are available at https://water.usgs.gov/watuse/data/index.html. Publisher Copyright: {\textcopyright}2018. American Geophysical Union. All Rights Reserved.",
year = "2018",
month = dec,
day = "16",
doi = "10.1029/2018GL080870",
language = "English (US)",
volume = "45",
pages = "12,892--12,902",
journal = "Geophysical Research Letters",
issn = "0094-8276",
publisher = "American Geophysical Union",
number = "23",
}