The response of US summer rainfall to quadrupled CO 2 climate change in conventional and superparameterized versions of the NCAR community atmosphere model
© 2014. American Geophysical Union. All Rights Reserved. Observations and regional climate modeling (RCM) studies demonstrate that global climate models (GCMs) are unreliable for predicting changes in extreme precipitation. Yet RCM climate change simulations are subject to boundary conditions provid...
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ftcdlib:qt5zm152t9 2023-05-15T18:18:51+02:00 The response of US summer rainfall to quadrupled CO 2 climate change in conventional and superparameterized versions of the NCAR community atmosphere model Kooperman, GJ Pritchard, MS Somerville, RCJ 859 - 882 2015-08-21 application/pdf http://www.escholarship.org/uc/item/5zm152t9 english eng eScholarship, University of California qt5zm152t9 http://www.escholarship.org/uc/item/5zm152t9 Attribution (CC BY): http://creativecommons.org/licenses/by/3.0/ CC-BY Kooperman, GJ; Pritchard, MS; & Somerville, RCJ. (2015). The response of US summer rainfall to quadrupled CO 2 climate change in conventional and superparameterized versions of the NCAR community atmosphere model. Journal of Advances in Modeling Earth Systems, 6(3), 859 - 882. doi:10.1002/2014MS000306. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/5zm152t9 article 2015 ftcdlib https://doi.org/10.1002/2014MS000306 2018-07-13T22:55:38Z © 2014. American Geophysical Union. All Rights Reserved. Observations and regional climate modeling (RCM) studies demonstrate that global climate models (GCMs) are unreliable for predicting changes in extreme precipitation. Yet RCM climate change simulations are subject to boundary conditions provided by GCMs and do not interact with large-scale dynamical feedbacks that may be critical to the overall regional response. Limitations of both global and regional modeling approaches contribute significant uncertainty to future rainfall projections. Progress requires a modeling framework capable of capturing the observed regional-scale variability of rainfall intensity without sacrificing planetary scales. Here the United States summer rainfall response to quadrupled CO2 climate change is investigated using conventional (CAM) and superparameterized (SPCAM) versions of the NCAR Community Atmosphere Model. The superparameterization approach, in which cloud-resolving model arrays are embedded in GCM grid columns, improves rainfall statistics and convective variability in global simulations. A set of 5 year time-slice simulations, with prescribed sea surface temperature and sea ice boundary conditions harvested from preindustrial and abrupt four times CO2 coupled Community Earth System Model (CESM/CAM) simulations, are compared for CAM and SPCAM. The two models produce very different changes in mean precipitation patterns, which develop from differences in large-scale circulation anomalies associated with the planetary-scale response to warming. CAM shows a small decrease in overall rainfall intensity, with an increased contribution from the weaker parameterized convection and a decrease from large-scale precipitation. SPCAM has the opposite response, a significant shift in rainfall occurrence toward higher precipitation rates including more intense propagating Central United States mesoscale convective systems in a four times CO2 climate. Key Points Large-scale dynamics are critical to regional rainfall climate change responses Superparameterization captures expected increases in rain and storm intensity Extreme rain may be decoupled from key climate change drivers in standard GCMs Article in Journal/Newspaper Sea ice University of California: eScholarship Journal of Advances in Modeling Earth Systems 6 3 859 882 |
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Open Polar |
collection |
University of California: eScholarship |
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ftcdlib |
language |
English |
description |
© 2014. American Geophysical Union. All Rights Reserved. Observations and regional climate modeling (RCM) studies demonstrate that global climate models (GCMs) are unreliable for predicting changes in extreme precipitation. Yet RCM climate change simulations are subject to boundary conditions provided by GCMs and do not interact with large-scale dynamical feedbacks that may be critical to the overall regional response. Limitations of both global and regional modeling approaches contribute significant uncertainty to future rainfall projections. Progress requires a modeling framework capable of capturing the observed regional-scale variability of rainfall intensity without sacrificing planetary scales. Here the United States summer rainfall response to quadrupled CO2 climate change is investigated using conventional (CAM) and superparameterized (SPCAM) versions of the NCAR Community Atmosphere Model. The superparameterization approach, in which cloud-resolving model arrays are embedded in GCM grid columns, improves rainfall statistics and convective variability in global simulations. A set of 5 year time-slice simulations, with prescribed sea surface temperature and sea ice boundary conditions harvested from preindustrial and abrupt four times CO2 coupled Community Earth System Model (CESM/CAM) simulations, are compared for CAM and SPCAM. The two models produce very different changes in mean precipitation patterns, which develop from differences in large-scale circulation anomalies associated with the planetary-scale response to warming. CAM shows a small decrease in overall rainfall intensity, with an increased contribution from the weaker parameterized convection and a decrease from large-scale precipitation. SPCAM has the opposite response, a significant shift in rainfall occurrence toward higher precipitation rates including more intense propagating Central United States mesoscale convective systems in a four times CO2 climate. Key Points Large-scale dynamics are critical to regional rainfall climate change responses Superparameterization captures expected increases in rain and storm intensity Extreme rain may be decoupled from key climate change drivers in standard GCMs |
format |
Article in Journal/Newspaper |
author |
Kooperman, GJ Pritchard, MS Somerville, RCJ |
spellingShingle |
Kooperman, GJ Pritchard, MS Somerville, RCJ The response of US summer rainfall to quadrupled CO 2 climate change in conventional and superparameterized versions of the NCAR community atmosphere model |
author_facet |
Kooperman, GJ Pritchard, MS Somerville, RCJ |
author_sort |
Kooperman, GJ |
title |
The response of US summer rainfall to quadrupled CO 2 climate change in conventional and superparameterized versions of the NCAR community atmosphere model |
title_short |
The response of US summer rainfall to quadrupled CO 2 climate change in conventional and superparameterized versions of the NCAR community atmosphere model |
title_full |
The response of US summer rainfall to quadrupled CO 2 climate change in conventional and superparameterized versions of the NCAR community atmosphere model |
title_fullStr |
The response of US summer rainfall to quadrupled CO 2 climate change in conventional and superparameterized versions of the NCAR community atmosphere model |
title_full_unstemmed |
The response of US summer rainfall to quadrupled CO 2 climate change in conventional and superparameterized versions of the NCAR community atmosphere model |
title_sort |
response of us summer rainfall to quadrupled co 2 climate change in conventional and superparameterized versions of the ncar community atmosphere model |
publisher |
eScholarship, University of California |
publishDate |
2015 |
url |
http://www.escholarship.org/uc/item/5zm152t9 |
op_coverage |
859 - 882 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Kooperman, GJ; Pritchard, MS; & Somerville, RCJ. (2015). The response of US summer rainfall to quadrupled CO 2 climate change in conventional and superparameterized versions of the NCAR community atmosphere model. Journal of Advances in Modeling Earth Systems, 6(3), 859 - 882. doi:10.1002/2014MS000306. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/5zm152t9 |
op_relation |
qt5zm152t9 http://www.escholarship.org/uc/item/5zm152t9 |
op_rights |
Attribution (CC BY): http://creativecommons.org/licenses/by/3.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1002/2014MS000306 |
container_title |
Journal of Advances in Modeling Earth Systems |
container_volume |
6 |
container_issue |
3 |
container_start_page |
859 |
op_container_end_page |
882 |
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