Articles | Volume 10, issue 4
https://doi.org/10.5194/gmd-10-1665-2017
© 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/gmd-10-1665-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Investigating soil moisture–climate interactions with prescribed soil moisture experiments: an assessment with the Community Earth System Model (version 1.2)
Mathias Hauser
CORRESPONDING AUTHOR
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
René Orth
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Sonia I. Seneviratne
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
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Cited
22 citations as recorded by crossref.
- Soil moisture estimation in South Asia via assimilation of SMAP retrievals J. Ahmad et al. 10.5194/hess-26-2221-2022
- Nonlocal Impacts of Soil Moisture Variability in South America: Linking Two Land–Atmosphere Coupling Hot Spots J. Giles et al. 10.1175/JCLI-D-21-0510.1
- Synergistic Impacts of Indian Ocean SST and Indo-China Peninsula Soil Moisture on the 2020 Record-breaking Mei-yu Y. Dong et al. 10.1007/s00376-024-3204-0
- Local and remote atmospheric responses to soil moisture anomalies in Australia O. Martius et al. 10.1175/JCLI-D-21-0130.1
- Soil moisture memory and soil properties: An analysis with the stored precipitation fraction J. Martínez-Fernández et al. 10.1016/j.jhydrol.2020.125622
- Soil micro-climate variation in relation to slope aspect, position, and curvature in a forested catchment B. Fan et al. 10.1016/j.agrformet.2020.107999
- Potential of global land water recycling to mitigate local temperature extremes M. Hauser et al. 10.5194/esd-10-157-2019
- Geo-Intelligent Retrieval Framework Based on Machine Learning in the Cloud Environment: A Case Study of Soil Moisture Retrieval Z. Li et al. 10.1109/TGRS.2023.3280591
- The ExtremeX global climate model experiment: investigating thermodynamic and dynamic processes contributing to weather and climate extremes K. Wehrli et al. 10.5194/esd-13-1167-2022
- 2021 North American heatwave amplified by climate change-driven nonlinear interactions S. Bartusek et al. 10.1038/s41558-022-01520-4
- Distinct impacts of spring soil moisture over the Indo-China Peninsula on summer precipitation in the Yangtze River basin under different SST backgrounds S. Zhu et al. 10.1007/s00382-020-05567-x
- Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data E. Pinnington et al. 10.5194/hess-25-1617-2021
- On the role of Eurasian autumn snow cover in dynamical seasonal predictions P. Ruggieri et al. 10.1007/s00382-021-06016-z
- Drivers and Mechanisms of the 2021 Pacific Northwest Heatwave D. Schumacher et al. 10.1029/2022EF002967
- Soil Water Measurement Using Actively Heated Fiber Optics at Field Scale D. Vidana Gamage et al. 10.3390/s18041116
- Microclimate stability on the critical zone of a karst hillslope in southwest China: Insights from continuous temperature observations at the air–soil–epikarst interface J. Zhang et al. 10.1016/j.jenvman.2023.117656
- Summer temperature response to extreme soil water conditions in the Mediterranean transitional climate regime S. Materia et al. 10.1007/s00382-021-05815-8
- Record-shattering 2023 Spring heatwave in western Mediterranean amplified by long-term drought M. Lemus-Canovas et al. 10.1038/s41612-024-00569-6
- Comparative study of strongly and weakly coupled data assimilation with a global land–atmosphere coupled model K. Kurosawa et al. 10.5194/npg-30-457-2023
- Global Effects of Superparameterization on Hydrothermal Land‐Atmosphere Coupling on Multiple Timescales H. Qin et al. 10.1002/2017MS001185
- Identifying Key Driving Processes of Major Recent Heat Waves K. Wehrli et al. 10.1029/2019JD030635
- Soil moisture–atmosphere feedback dominates land carbon uptake variability V. Humphrey et al. 10.1038/s41586-021-03325-5
22 citations as recorded by crossref.
- Soil moisture estimation in South Asia via assimilation of SMAP retrievals J. Ahmad et al. 10.5194/hess-26-2221-2022
- Nonlocal Impacts of Soil Moisture Variability in South America: Linking Two Land–Atmosphere Coupling Hot Spots J. Giles et al. 10.1175/JCLI-D-21-0510.1
- Synergistic Impacts of Indian Ocean SST and Indo-China Peninsula Soil Moisture on the 2020 Record-breaking Mei-yu Y. Dong et al. 10.1007/s00376-024-3204-0
- Local and remote atmospheric responses to soil moisture anomalies in Australia O. Martius et al. 10.1175/JCLI-D-21-0130.1
- Soil moisture memory and soil properties: An analysis with the stored precipitation fraction J. Martínez-Fernández et al. 10.1016/j.jhydrol.2020.125622
- Soil micro-climate variation in relation to slope aspect, position, and curvature in a forested catchment B. Fan et al. 10.1016/j.agrformet.2020.107999
- Potential of global land water recycling to mitigate local temperature extremes M. Hauser et al. 10.5194/esd-10-157-2019
- Geo-Intelligent Retrieval Framework Based on Machine Learning in the Cloud Environment: A Case Study of Soil Moisture Retrieval Z. Li et al. 10.1109/TGRS.2023.3280591
- The ExtremeX global climate model experiment: investigating thermodynamic and dynamic processes contributing to weather and climate extremes K. Wehrli et al. 10.5194/esd-13-1167-2022
- 2021 North American heatwave amplified by climate change-driven nonlinear interactions S. Bartusek et al. 10.1038/s41558-022-01520-4
- Distinct impacts of spring soil moisture over the Indo-China Peninsula on summer precipitation in the Yangtze River basin under different SST backgrounds S. Zhu et al. 10.1007/s00382-020-05567-x
- Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data E. Pinnington et al. 10.5194/hess-25-1617-2021
- On the role of Eurasian autumn snow cover in dynamical seasonal predictions P. Ruggieri et al. 10.1007/s00382-021-06016-z
- Drivers and Mechanisms of the 2021 Pacific Northwest Heatwave D. Schumacher et al. 10.1029/2022EF002967
- Soil Water Measurement Using Actively Heated Fiber Optics at Field Scale D. Vidana Gamage et al. 10.3390/s18041116
- Microclimate stability on the critical zone of a karst hillslope in southwest China: Insights from continuous temperature observations at the air–soil–epikarst interface J. Zhang et al. 10.1016/j.jenvman.2023.117656
- Summer temperature response to extreme soil water conditions in the Mediterranean transitional climate regime S. Materia et al. 10.1007/s00382-021-05815-8
- Record-shattering 2023 Spring heatwave in western Mediterranean amplified by long-term drought M. Lemus-Canovas et al. 10.1038/s41612-024-00569-6
- Comparative study of strongly and weakly coupled data assimilation with a global land–atmosphere coupled model K. Kurosawa et al. 10.5194/npg-30-457-2023
- Global Effects of Superparameterization on Hydrothermal Land‐Atmosphere Coupling on Multiple Timescales H. Qin et al. 10.1002/2017MS001185
- Identifying Key Driving Processes of Major Recent Heat Waves K. Wehrli et al. 10.1029/2019JD030635
- Soil moisture–atmosphere feedback dominates land carbon uptake variability V. Humphrey et al. 10.1038/s41586-021-03325-5
Saved (final revised paper)
Latest update: 02 Nov 2024
Short summary
Water in the soil can influence temperature and precipitation of the atmosphere. However, the atmosphere also alters the soil moisture content. Climate model simulations prescribing soil moisture are a means to decouple these relationships. We find that the atmospheric response depends strongly on the method used to fix the soil moisture, as well as on the employed soil moisture data set.
Water in the soil can influence temperature and precipitation of the atmosphere. However, the...