Evaluation of soil moisture in CMIP5 simulations over the contiguous United States using in situ and satellite observations

This study provides a comprehensive evaluation of soil moisture simulations in the Coupled Model Intercomparison Project Phase 5 (CMIP5) extended historical experiment (2003 to 2012). Soil moisture from in situ and satellite sources is used to evaluate CMIP5 simulations in the contiguous United Stat...

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Main Authors: S. Yuan, S. M. Quiring
Format: Article
Language:English
Published: Copernicus Publications 2017-04-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/21/2203/2017/hess-21-2203-2017.pdf
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spelling doaj-b34fa5fd44bc40898d679e306262fc192020-11-24T22:53:21ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382017-04-012142203221810.5194/hess-21-2203-2017Evaluation of soil moisture in CMIP5 simulations over the contiguous United States using in situ and satellite observationsS. Yuan0S. M. Quiring1Climate Science Lab, Department of Geography, Texas A&M University, College Station, TX 77843, USAAtmospheric Sciences Program, Department of Geography, Ohio State University, Columbus, OH 43210, USAThis study provides a comprehensive evaluation of soil moisture simulations in the Coupled Model Intercomparison Project Phase 5 (CMIP5) extended historical experiment (2003 to 2012). Soil moisture from in situ and satellite sources is used to evaluate CMIP5 simulations in the contiguous United States (CONUS). Both near-surface (0–10 cm) and soil column (0–100 cm) simulations from more than 14 CMIP5 models are evaluated during the warm season (April–September). Multimodel ensemble means and the performance of individual models are assessed at a monthly timescale. Our results indicate that CMIP5 models can reproduce the seasonal variability in soil moisture over CONUS. However, the models tend to overestimate the amount of both near-surface and soil column soil moisture in the western US and underestimate it in the eastern US. There are large variations across models, especially for the near-surface soil moisture. There are significant regional variations in performance as well. Results of a regional analysis show that in the deeper soil layers, the CMIP5 soil moisture simulations tend to be most skillful in the southern US. Based on both the satellite-derived and in situ soil moisture, CESM1, CCSM4 and GFDL-ESM2M perform best in the 0–10 cm soil layer and CESM1, CCSM4, GFDL-ESM2M and HadGEM2-ES perform best in the 0–100 cm soil layer.http://www.hydrol-earth-syst-sci.net/21/2203/2017/hess-21-2203-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author S. Yuan
S. M. Quiring
spellingShingle S. Yuan
S. M. Quiring
Evaluation of soil moisture in CMIP5 simulations over the contiguous United States using in situ and satellite observations
Hydrology and Earth System Sciences
author_facet S. Yuan
S. M. Quiring
author_sort S. Yuan
title Evaluation of soil moisture in CMIP5 simulations over the contiguous United States using in situ and satellite observations
title_short Evaluation of soil moisture in CMIP5 simulations over the contiguous United States using in situ and satellite observations
title_full Evaluation of soil moisture in CMIP5 simulations over the contiguous United States using in situ and satellite observations
title_fullStr Evaluation of soil moisture in CMIP5 simulations over the contiguous United States using in situ and satellite observations
title_full_unstemmed Evaluation of soil moisture in CMIP5 simulations over the contiguous United States using in situ and satellite observations
title_sort evaluation of soil moisture in cmip5 simulations over the contiguous united states using in situ and satellite observations
publisher Copernicus Publications
series Hydrology and Earth System Sciences
issn 1027-5606
1607-7938
publishDate 2017-04-01
description This study provides a comprehensive evaluation of soil moisture simulations in the Coupled Model Intercomparison Project Phase 5 (CMIP5) extended historical experiment (2003 to 2012). Soil moisture from in situ and satellite sources is used to evaluate CMIP5 simulations in the contiguous United States (CONUS). Both near-surface (0–10 cm) and soil column (0–100 cm) simulations from more than 14 CMIP5 models are evaluated during the warm season (April–September). Multimodel ensemble means and the performance of individual models are assessed at a monthly timescale. Our results indicate that CMIP5 models can reproduce the seasonal variability in soil moisture over CONUS. However, the models tend to overestimate the amount of both near-surface and soil column soil moisture in the western US and underestimate it in the eastern US. There are large variations across models, especially for the near-surface soil moisture. There are significant regional variations in performance as well. Results of a regional analysis show that in the deeper soil layers, the CMIP5 soil moisture simulations tend to be most skillful in the southern US. Based on both the satellite-derived and in situ soil moisture, CESM1, CCSM4 and GFDL-ESM2M perform best in the 0–10 cm soil layer and CESM1, CCSM4, GFDL-ESM2M and HadGEM2-ES perform best in the 0–100 cm soil layer.
url http://www.hydrol-earth-syst-sci.net/21/2203/2017/hess-21-2203-2017.pdf
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AT smquiring evaluationofsoilmoistureincmip5simulationsoverthecontiguousunitedstatesusinginsituandsatelliteobservations
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