Effects of Explicit Convection on Land Surface Air Temperature and Land‐Atmosphere Coupling in the Thermal Feedback Pathway
Abstract
Simulating and understanding continental temperature extremes is a critical issue in Earth System Modeling. Conventional general circulation models are impaired by imperfect cloud and boundary layer parameterization schemes with implications for potentially unrealistic distributions of atmospheric variables and land-atmosphere coupling signals. In this study we examine a modern version of Superparameterization (SP) in the Community Atmosphere Model v.5 to examine impacts of SP on the characteristics of land surface air temperature, thermal land-atmosphere coupling, and the relationship between them. The results show that SP in the Community Atmosphere Model (SPCAM) improves mean land surface air temperature at daily time scales regionally compared to Community Atmosphere Model 5 and better simulates thermal land-atmosphere coupling (soil moisture-surface air temperature coupling) in several well-known hot spots (e.g., the Great Plains, Sahel, and India). Detailed analysis of regional probability distribution functions reveals how the intrinsic relationships of atmosphere variables, land-atmosphere coupling, and temperature extremes are modified by SP. Regression-type metrics are also used to examine global land-atmosphere coupling, with some expected limitations where multiple coupling regimes coexist temporally. Stratifying results by soil moisture percentile proves illuminating in this regard and reveals that SP frequently amplifies land-atmosphere thermal coupling at the dry end of regionalmore »
- Authors:
-
- Department of Earth System ScienceUniversity of California Irvine CA USA, Key Laboratory of Groundwater Resources and Environment, Ministry of EducationJilin University Changchun China
- Department of Earth System ScienceUniversity of California Irvine CA USA
- Publication Date:
- Research Org.:
- Univ. of California, Irvine, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1475242
- Alternate Identifier(s):
- OSTI ID: 1475244; OSTI ID: 1611737
- Grant/Contract Number:
- SC0012152
- Resource Type:
- Published Article
- Journal Name:
- Journal of Advances in Modeling Earth Systems
- Additional Journal Information:
- Journal Name: Journal of Advances in Modeling Earth Systems Journal Volume: 10 Journal Issue: 10; Journal ID: ISSN 1942-2466
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Meteorology & Atmospheric Sciences
Citation Formats
Sun, J., and Pritchard, M. S. Effects of Explicit Convection on Land Surface Air Temperature and Land‐Atmosphere Coupling in the Thermal Feedback Pathway. United States: N. p., 2018.
Web. doi:10.1029/2018MS001301.
Sun, J., & Pritchard, M. S. Effects of Explicit Convection on Land Surface Air Temperature and Land‐Atmosphere Coupling in the Thermal Feedback Pathway. United States. https://doi.org/10.1029/2018MS001301
Sun, J., and Pritchard, M. S. Tue .
"Effects of Explicit Convection on Land Surface Air Temperature and Land‐Atmosphere Coupling in the Thermal Feedback Pathway". United States. https://doi.org/10.1029/2018MS001301.
@article{osti_1475242,
title = {Effects of Explicit Convection on Land Surface Air Temperature and Land‐Atmosphere Coupling in the Thermal Feedback Pathway},
author = {Sun, J. and Pritchard, M. S.},
abstractNote = {Simulating and understanding continental temperature extremes is a critical issue in Earth System Modeling. Conventional general circulation models are impaired by imperfect cloud and boundary layer parameterization schemes with implications for potentially unrealistic distributions of atmospheric variables and land-atmosphere coupling signals. In this study we examine a modern version of Superparameterization (SP) in the Community Atmosphere Model v.5 to examine impacts of SP on the characteristics of land surface air temperature, thermal land-atmosphere coupling, and the relationship between them. The results show that SP in the Community Atmosphere Model (SPCAM) improves mean land surface air temperature at daily time scales regionally compared to Community Atmosphere Model 5 and better simulates thermal land-atmosphere coupling (soil moisture-surface air temperature coupling) in several well-known hot spots (e.g., the Great Plains, Sahel, and India). Detailed analysis of regional probability distribution functions reveals how the intrinsic relationships of atmosphere variables, land-atmosphere coupling, and temperature extremes are modified by SP. Regression-type metrics are also used to examine global land-atmosphere coupling, with some expected limitations where multiple coupling regimes coexist temporally. Stratifying results by soil moisture percentile proves illuminating in this regard and reveals that SP frequently amplifies land-atmosphere thermal coupling at the dry end of regional coupling regimes.},
doi = {10.1029/2018MS001301},
journal = {Journal of Advances in Modeling Earth Systems},
number = 10,
volume = 10,
place = {United States},
year = {Tue Oct 02 00:00:00 EDT 2018},
month = {Tue Oct 02 00:00:00 EDT 2018}
}
https://doi.org/10.1029/2018MS001301
Web of Science
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