Articles | Volume 21, issue 4
https://doi.org/10.5194/hess-21-2203-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-2203-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Apr 2017
Research article |
| 24 Apr 2017
Evaluation of soil moisture in CMIP5 simulations over the contiguous United States using in situ and satellite observations
Climate Science Lab, Department of Geography, Texas A&M University,
College Station, TX 77843, USA
Steven M. Quiring
Atmospheric Sciences Program, Department of Geography, Ohio State
University, Columbus, OH 43210, USA
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47 citations as recorded by crossref.
- Observed and Simulated Sensitivities of Spring Greenup to Preseason Climate in Northern Temperate and Boreal Regions X. Xu et al. 10.1002/2017JG004117
- Merging and Downscaling Soil Moisture Data From CMIP6 Projections Using Deep Learning Method D. Feng et al. 10.3389/fenvs.2022.847475
- Evaluation of GLDAS soil moisture product over Kermanshah province, Iran A. Amini et al. 10.2166/h2oj.2023.057
- 21st century California drought risk linked to model fidelity of the El Niño teleconnection R. Allen & R. Anderson 10.1038/s41612-018-0032-x
- Satellite-based soil moisture provides missing link between summertime precipitation and surface temperature biases in CMIP5 simulations over conterminous United States A. Al-Yaari et al. 10.1038/s41598-018-38309-5
- Attribution of Global Soil Moisture Drying to Human Activities: A Quantitative Viewpoint X. Gu et al. 10.1029/2018GL080768
- Evaluation of Soil Moisture in CMIP6 Simulations L. Qiao et al. 10.1175/JCLI-D-20-0827.1
- Regional Climate Model Evaluation System powered by Apache Open Climate Workbench v1.3.0: an enabling tool for facilitating regional climate studies H. Lee et al. 10.5194/gmd-11-4435-2018
- Spatio-temporal variations in global surface soil moisture based on multiple datasets: Intercomparison and climate drivers Y. Guan et al. 10.1016/j.jhydrol.2023.130095
- Evaluating the Variability of Surface Soil Moisture Simulated Within CMIP5 Using SMAP Data X. Xi et al. 10.1029/2021JD035363
- Tackling resolution mismatch of precipitation extremes from gridded GCMs and site-scale observations: Implication to assessment and future projection J. Li et al. 10.1016/j.atmosres.2020.104908
- Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network K. Fang et al. 10.1002/2017GL075619
- Uncertainty and hotspots in 21st century projections of agricultural drought from CMIP5 models J. Lu et al. 10.1038/s41598-019-41196-z
- A sensitivity study on the response of convection initiation to in situ soil moisture in the central United States S. Yuan et al. 10.1007/s00382-019-05098-0
- Evaluation of soil moisture from CCAM-CABLE simulation, satellite-based models estimates and satellite observations: a case study of Skukuza and Malopeni flux towers F. Khosa et al. 10.5194/hess-24-1587-2020
- Estimation of soil moisture and soil temperature over India using the Noah multi-parameterisation land surface model N. Chawang et al. 10.1007/s40808-022-01603-3
- Global soil moisture drought identification and responses to natural and anthropogenic forcings K. Fan et al. 10.1016/j.jhydrol.2022.127993
- Seasonal drought severity identification using a modified multivariate index: a case study of Indo-Gangetic Plains in India V. Kumar & H. Chu 10.1016/j.jhydrol.2024.130632
- Evaluation of nine sub-daily soil moisture model products over China using high-resolution in situ observations Y. Chen & H. Yuan 10.1016/j.jhydrol.2020.125054
- Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets Z. Hu et al. 10.3389/feart.2021.654848
- Modelling spatio‐temporal soil moisture dynamics in mountain tundra V. Tyystjärvi et al. 10.1002/hyp.14450
- A near real-time drought monitoring system for Spain using automatic weather station network S. Vicente-Serrano et al. 10.1016/j.atmosres.2022.106095
- Performance of CMIP5 wind speed from global climate models for the Bay of Bengal region A. Krishnan & P. Bhaskaran 10.1002/joc.6404
- Evaluation of Soil Moisture in CMIP6 Multimodel Simulations Over Conterminous China A. Wang et al. 10.1029/2022JD037072
- Long‐Term Wetting and Drying Trends in Land Water Storage Derived From GRACE and CMIP5 Models L. Jensen et al. 10.1029/2018JD029989
- Regional climate model simulation of soil moisture and its application in drought reconstruction across China from 1911 to 2010 A. Wang & X. Kong 10.1002/joc.6748
- Causal Impacts of El Niño–Southern Oscillation on Global Soil Moisture Over the Period 2015–2100 T. Le & D. Bae 10.1029/2021EF002522
- Design considerations for riverine floods in a changing climate – A review B. François et al. 10.1016/j.jhydrol.2019.04.068
- Historical Changes in Surface Soil Moisture Over the Contiguous United States: An Assessment of CMIP6 S. Yuan et al. 10.1029/2020GL089991
- Development of observation-based global multilayer soil moisture products for 1970 to 2016 Y. Wang et al. 10.5194/essd-13-4385-2021
- Aridity‐Dependent Land Surface Skin Temperature Biases in CMIP5/6 W. Wu & Z. Yang 10.1029/2022GL098952
- Modeling the response of soil moisture to climate variability in the Mediterranean region L. Mimeau et al. 10.5194/hess-25-653-2021
- The root-zone soil moisture spectrum in a mediterranean ecosystem R. Corona et al. 10.1016/j.jhydrol.2022.127757
- Vertically Divergent Responses of SOC Decomposition to Soil Moisture in a Changing Climate M. Pallandt et al. 10.1029/2021JG006684
- The soil moisture data bank: The ground-based, model-based, and satellite-based soil moisture data A. Tavakol et al. 10.1016/j.rsase.2021.100649
- An inverse dielectric mixing model at 50 MHz that considers soil organic carbon C. Park et al. 10.5194/hess-25-6407-2021
- The impact of soil moisture on precipitation downscaling in the Euro-Mediterranean area E. Hertig et al. 10.1007/s00382-018-4304-2
- Global characterization of hydrological and meteorological droughts under future climate change: The importance of timescales, vegetation‐CO2 feedbacks and changes to distribution functions S. Vicente‐Serrano et al. 10.1002/joc.6350
- Climatological Changes in Soil Moisture during the 21st Century over the Indian Region Using CMIP5 and Satellite Observations C. Sravani et al. 10.3390/rs14092108
- Climate suitability for tourism in China in an era of climate change: a multiscale analysis using holiday climate index D. Yu et al. 10.1080/13683500.2021.1956442
- ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions W. Dorigo et al. 10.1016/j.rse.2017.07.001
- Consistency and Discrepancy of Global Surface Soil Moisture Changes From Multiple Model‐Based Data Sets Against Satellite Observations X. Gu et al. 10.1029/2018JD029304
- A General Methodology for Climate‐Informed Approaches to Long‐Term Flood Projection—Illustrated With the Ohio River Basin K. Schlef et al. 10.1029/2018WR023209
- Developing and evaluating national soil moisture percentile maps C. Zhao et al. 10.1002/saj2.20045
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- Global Characterization of the Varying Responses of the Standardized Precipitation Evapotranspiration Index to Atmospheric Evaporative Demand M. Tomas‐Burguera et al. 10.1029/2020JD033017
- Improvement of Soil Moisture Simulation in Eurasia by the Beijing Climate Center Climate System Model from CMIP5 to CMIP6 Y. Sang et al. 10.1007/s00376-020-0167-7
Latest update: 25 Apr 2024
Short summary
This study has significant practical implications because soil moisture from ESMs can be used for operational drought monitoring, calibrating/validating satellites and documenting how soil moisture influences the climate system on seasonal to interannual timescales. This article shows the spatial and temporal patterns of biases of simulated soil moisture. This could help better develop the models and provide better predictions of future soil-moisture-related climatic events.
This study has significant practical implications because soil moisture from ESMs can be used...
