Tropical Pacific SST and ITCZ biases in climate models : double trouble for future rainfall projections?

The double Intertropical Convergence Zone bias remains a persistent problem in coupled general circulation model simulations. Due to the strong sea surface temperature (SST)‐convection relationship in the tropics, precipitation biases are sensitive to background SST. Using historical simulations of...

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Main Authors: Samanta, Dhrubajyoti, Karnauskas, Kristopher B., Goodkin, Nathalie F.
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2019
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Online Access:https://hdl.handle.net/10356/105903
http://hdl.handle.net/10220/48097
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1059032023-02-28T16:42:14Z Tropical Pacific SST and ITCZ biases in climate models : double trouble for future rainfall projections? Samanta, Dhrubajyoti Karnauskas, Kristopher B. Goodkin, Nathalie F. Asian School of the Environment Earth Observatory of Singapore Double ITCZ Model Biases DRNTU::Science::Geology The double Intertropical Convergence Zone bias remains a persistent problem in coupled general circulation model simulations. Due to the strong sea surface temperature (SST)‐convection relationship in the tropics, precipitation biases are sensitive to background SST. Using historical simulations of 24 coupled general circulation models and an atmospheric general circulation model, we show that cold equatorial SST biases at least exacerbate double Intertropical Convergence Zone biases in the Pacific. A linear regression model is used to demonstrate that improved predictability of precipitation trends is possible with such model‐dependent information as mean‐state SST biases accompanying projected SST trends. These results provide a better understanding of the root of the double Intertropical Convergence Zone bias and a possible path to reduced uncertainty in future tropical precipitation trends. MOE (Min. of Education, S’pore) Published version 2019-05-03T08:47:51Z 2019-12-06T22:00:26Z 2019-05-03T08:47:51Z 2019-12-06T22:00:26Z 2019 Journal Article Samanta, D., Karnauskas, K. B., & Goodkin, N. F. (2019). Tropical Pacific SST and ITCZ biases in climate models : double trouble for future rainfall projections?. Geophysical Research Letters, 46(4), 2242-2252. doi:10.1029/2018GL081363 0094-8276 https://hdl.handle.net/10356/105903 http://hdl.handle.net/10220/48097 10.1029/2018GL081363 en Geophysical Research Letters © 2019 The Authors. This is an open access article under the terms of the Creative Commons Attribution‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited and no modifications or adaptations are made. 11 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Double ITCZ
Model Biases
DRNTU::Science::Geology
spellingShingle Double ITCZ
Model Biases
DRNTU::Science::Geology
Samanta, Dhrubajyoti
Karnauskas, Kristopher B.
Goodkin, Nathalie F.
Tropical Pacific SST and ITCZ biases in climate models : double trouble for future rainfall projections?
description The double Intertropical Convergence Zone bias remains a persistent problem in coupled general circulation model simulations. Due to the strong sea surface temperature (SST)‐convection relationship in the tropics, precipitation biases are sensitive to background SST. Using historical simulations of 24 coupled general circulation models and an atmospheric general circulation model, we show that cold equatorial SST biases at least exacerbate double Intertropical Convergence Zone biases in the Pacific. A linear regression model is used to demonstrate that improved predictability of precipitation trends is possible with such model‐dependent information as mean‐state SST biases accompanying projected SST trends. These results provide a better understanding of the root of the double Intertropical Convergence Zone bias and a possible path to reduced uncertainty in future tropical precipitation trends.
author2 Asian School of the Environment
author_facet Asian School of the Environment
Samanta, Dhrubajyoti
Karnauskas, Kristopher B.
Goodkin, Nathalie F.
format Article
author Samanta, Dhrubajyoti
Karnauskas, Kristopher B.
Goodkin, Nathalie F.
author_sort Samanta, Dhrubajyoti
title Tropical Pacific SST and ITCZ biases in climate models : double trouble for future rainfall projections?
title_short Tropical Pacific SST and ITCZ biases in climate models : double trouble for future rainfall projections?
title_full Tropical Pacific SST and ITCZ biases in climate models : double trouble for future rainfall projections?
title_fullStr Tropical Pacific SST and ITCZ biases in climate models : double trouble for future rainfall projections?
title_full_unstemmed Tropical Pacific SST and ITCZ biases in climate models : double trouble for future rainfall projections?
title_sort tropical pacific sst and itcz biases in climate models : double trouble for future rainfall projections?
publishDate 2019
url https://hdl.handle.net/10356/105903
http://hdl.handle.net/10220/48097
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