Articles | Volume 13, issue 1
https://doi.org/10.5194/esd-13-109-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-13-109-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Jan 2022
Research article |
| 24 Jan 2022
| 24 Jan 2022
Sensitivity of land–atmosphere coupling strength to changing atmospheric temperature and moisture over Europe
Institute of Physics and Meteorology, University of Hohenheim, Stuttgart, Germany
Thomas Schwitalla
Institute of Physics and Meteorology, University of Hohenheim, Stuttgart, Germany
Oliver Branch
Institute of Physics and Meteorology, University of Hohenheim, Stuttgart, Germany
Kirsten Warrach-Sagi
Institute of Physics and Meteorology, University of Hohenheim, Stuttgart, Germany
Volker Wulfmeyer
Institute of Physics and Meteorology, University of Hohenheim, Stuttgart, Germany
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Cited
19 citations as recorded by crossref.
- Impact of groundwater representation on heat events in regional climate simulations over Europe L. Poshyvailo-Strube et al.
- Dominant drivers for geographic patterns and multi-scale variability of global land‒atmosphere coupling W. Wu et al.
- A long-term regional variability analysis of wintertime temperature and its deep learning aspects S. Singh et al.
- Modeling the effects of present-day irrigation on temperature extremes over China X. Li et al.
- Rain-fed to irrigation-fed transition of agriculture exacerbates meteorological drought in cropped regions but moderates elsewhere S. Kim et al.
- Impacts of deforestation on drought patterns across multiple time scales in Europe: insights from LUCAS regional climate models Y. Li et al.
- Deducing land–atmosphere coupling regimes from SMAP soil moisture P. Makhasana et al.
- Soil moisture–atmosphere coupling strength over central Europe in the recent warming climate T. Schwitalla et al.
- Evaluation and projection of precipitation and temperature in a coastal climatic transitional zone in China based on CMIP6 GCMs X. Li et al.
- Exploring the relationship between temperature forecast errors and Earth system variables M. Ruiz-Vásquez et al.
- Comparing Temporal Dynamics of Soil Moisture from Remote Sensing, Modeling, and Field Observations Across Europe L. Jach et al.
- Warming Reshapes Land-Atmosphere Coupling: The LST-SM-ET-GPP Framework R. Mi et al.
- Daytime-only mean data enhance understanding of land–atmosphere coupling Z. Yin et al.
- Summer evapotranspiration-cloud feedbacks in land-atmosphere interactions over Europe Y. Zhang et al.
- On the Intercontinental Transferability of Regional Climate Model Response to Severe Forestation O. Asselin et al.
- Estimating Near-Surface Air Temperature From Satellite-Derived Land Surface Temperature Using Temporal Deep Learning: A Comparative Analysis J. Lee
- Thermohydromechanical Modeling of Evaporation from Unsaturated Soil S. Mousavi et al.
- Soil moisture precipitation feedbacks in the Eastern European Alpine region in convection‐permitting climate simulations H. Truhetz & A. Mishra
- Global diagnosis of land–atmosphere coupling based on water isotopes R. Yuan et al.
19 citations as recorded by crossref.
- Impact of groundwater representation on heat events in regional climate simulations over Europe L. Poshyvailo-Strube et al.
- Dominant drivers for geographic patterns and multi-scale variability of global land‒atmosphere coupling W. Wu et al.
- A long-term regional variability analysis of wintertime temperature and its deep learning aspects S. Singh et al.
- Modeling the effects of present-day irrigation on temperature extremes over China X. Li et al.
- Rain-fed to irrigation-fed transition of agriculture exacerbates meteorological drought in cropped regions but moderates elsewhere S. Kim et al.
- Impacts of deforestation on drought patterns across multiple time scales in Europe: insights from LUCAS regional climate models Y. Li et al.
- Deducing land–atmosphere coupling regimes from SMAP soil moisture P. Makhasana et al.
- Soil moisture–atmosphere coupling strength over central Europe in the recent warming climate T. Schwitalla et al.
- Evaluation and projection of precipitation and temperature in a coastal climatic transitional zone in China based on CMIP6 GCMs X. Li et al.
- Exploring the relationship between temperature forecast errors and Earth system variables M. Ruiz-Vásquez et al.
- Comparing Temporal Dynamics of Soil Moisture from Remote Sensing, Modeling, and Field Observations Across Europe L. Jach et al.
- Warming Reshapes Land-Atmosphere Coupling: The LST-SM-ET-GPP Framework R. Mi et al.
- Daytime-only mean data enhance understanding of land–atmosphere coupling Z. Yin et al.
- Summer evapotranspiration-cloud feedbacks in land-atmosphere interactions over Europe Y. Zhang et al.
- On the Intercontinental Transferability of Regional Climate Model Response to Severe Forestation O. Asselin et al.
- Estimating Near-Surface Air Temperature From Satellite-Derived Land Surface Temperature Using Temporal Deep Learning: A Comparative Analysis J. Lee
- Thermohydromechanical Modeling of Evaporation from Unsaturated Soil S. Mousavi et al.
- Soil moisture precipitation feedbacks in the Eastern European Alpine region in convection‐permitting climate simulations H. Truhetz & A. Mishra
- Global diagnosis of land–atmosphere coupling based on water isotopes R. Yuan et al.
Saved (final revised paper)
Latest update: 11 May 2026
Short summary
The land surface can influence the occurrence of local rainfall through different feedback mechanisms. In Europe, this happens most frequently in summer. Here, we examine how differences in atmospheric temperature and moisture change where and how often the land surface can influence rainfall. The results show that the differences barely move the region of strong surface influence over Scandinavia and eastern Europe, but they can change the frequency of coupling events.
The land surface can influence the occurrence of local rainfall through different feedback...
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