Articles | Volume 20, issue 12
https://doi.org/10.5194/hess-20-4837-2016
© Author(s) 2016. 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-20-4837-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Dec 2016
Research article |
| 09 Dec 2016
Evaluating the strength of the land–atmosphere moisture feedback in Earth system models using satellite observations
Department of Earth System Science, University of California, Irvine, CA 92697, USA
James T. Randerson
Department of Earth System Science, University of California, Irvine, CA 92697, USA
Sean C. Swenson
Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, CO 80305, USA
David M. Lawrence
Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, CO 80305, USA
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- Current and Future Climate Extremes Over Latin America and Caribbean: Assessing Earth System Models from High Resolution Model Intercomparison Project (HighResMIP) A. Avila-Diaz et al. 10.1007/s41748-022-00337-7
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- Global Effects of Superparameterization on Hydrothermal Land‐Atmosphere Coupling on Multiple Timescales H. Qin et al. 10.1002/2017MS001185
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- Impact of Land Initial States Uncertainty on Subseasonal Surface Air Temperature Prediction in CFSv2 Reforecasts C. Shin et al. 10.1175/JHM-D-20-0024.1
- Why Does Amazon Precipitation Decrease When Tropical Forests Respond to Increasing CO2? B. Langenbrunner et al. 10.1029/2018EF001026
- Evaluation of Regional‐Scale Soil Moisture‐Surface Flux Dynamics in Earth System Models Based on Satellite Observations of Land Surface Temperature B. Gallego‐Elvira et al. 10.1029/2019GL082962
- Evaluating the Effects of Precipitation and Evapotranspiration on Soil Moisture Variability Within CMIP5 Using SMAP and ERA5 Data X. Xi et al. 10.1029/2022WR034225
- Using ARM Observations to Evaluate Climate Model Simulations of Land‐Atmosphere Coupling on the U.S. Southern Great Plains T. Phillips et al. 10.1002/2017JD027141
- Coupling of Soil Moisture and Air Temperature from Multiyear Data During 1980–2013 over China Q. Yuan et al. 10.3390/atmos11010025
- Robust Amazon precipitation projections in climate models that capture realistic land–atmosphere interactions J. Baker et al. 10.1088/1748-9326/abfb2e
- On the Harvest of Predictability From Land States in a Global Forecast Model P. Dirmeyer et al. 10.1029/2018JD029103
- Midlatitude Summer Drying: An Underestimated Threat in CMIP5 Models? H. Douville & M. Plazzotta 10.1002/2017GL075353
- Summertime Near‐Surface Temperature Biases Over the Central United States in Convection‐Permitting Simulations H. Qin et al. 10.1029/2023JD038624
- Soil Moisture Variability Intensifies and Prolongs Eastern Amazon Temperature and Carbon Cycle Response to El Niño–Southern Oscillation P. Levine et al. 10.1175/JCLI-D-18-0150.1
- Drought monitoring and evaluation using ESA CCI and GLDAS-Noah soil moisture datasets across China G. Zhang et al. 10.1007/s00704-021-03609-w
- Removing Circulation Effects to Assess Central U.S. Land‐Atmosphere Interactions in the CESM Large Ensemble A. Merrifield et al. 10.1002/2017GL074831
- The potential to reduce uncertainty in regional runoff projections from climate models F. Lehner et al. 10.1038/s41558-019-0639-x
- Variation of Surface Air Temperature Induced by Enhanced Land–Atmosphere Coupling During 1981–2020 in Xinjiang, Northwest China Y. Yang et al. 10.1029/2022JD037983
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- SMAP soil moisture improves global evapotranspiration A. Purdy et al. 10.1016/j.rse.2018.09.023
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Latest update: 10 Dec 2024
Short summary
We demonstrate a new approach to assess the strength of feedbacks resulting from land–atmosphere coupling on decadal timescales. Our approach was tailored to enable evaluation of Earth system models (ESMs) using data from Earth observation satellites that measure terrestrial water storage anomalies and relevant atmospheric variables. Our results are consistent with previous work demonstrating that ESMs may be overestimating the strength of land surface feedbacks compared with observations.
We demonstrate a new approach to assess the strength of feedbacks resulting from land–atmosphere...
