Representation of the Indian Ocean Walker Circulation in climate models and links to Kenyan rainfall
Reliable climate change projections over East Africa are vital because of regional vulnerability to precipitation changes. However, global climate models from Coupled Model Intercomparison Project Phase 5 (CMIP5) display significant biases in their representation of key East African rainfall seasons...
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Format: | Journal article |
Language: | English |
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Wiley
2020
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author | King, JA Washington, R Engelstaedter, S |
author_facet | King, JA Washington, R Engelstaedter, S |
author_sort | King, JA |
collection | OXFORD |
description | Reliable climate change projections over East Africa are vital because of regional vulnerability to precipitation changes. However, global climate models from Coupled Model Intercomparison Project Phase 5 (CMIP5) display significant biases in their representation of key East African rainfall seasons, which call into question the reliability of projected climate change. We investigate the links between models' representation of rainfall over Kenya during the long and short rains and the proximate Walker circulation. There is a strong correlation in the short rains between model biases in Kenyan rainfall and in the mid‐to‐upper tropospheric vertical velocity associated with this circulation. The overturning Indian Ocean Walker cell at the equator is absent in 5/25 models during the short rains – these models exhibit wet biases. In the long rains, dry biased models overestimate the strength of the descending limb of the circulation over East Africa. Omega biases over the Congo Basin are linked to broader Walker circulation biases. During the long rains, models overestimate equatorial descent more generally across the Western Hemisphere Tropics (0°E–200°E). A significant correlation is obtained across the model ensemble between model rainfall over Kenya and Western Hemisphere equatorial ascent during November. Atmosphere‐only models display some improvements over coupled models, but biases of a similar magnitude remain. We therefore propose Indian Ocean Walker circulation errors as a key source of bias in CMIP5 East African rainfall. The results add to recent work on CMIP5 biases in this region, demonstrating that the Indian Ocean Walker circulation should be a focus for future model improvement and a consideration when assessing the reliability of climate projections over East Africa. Further work is needed on the causes of Walker circulation biases (in particular the role of SST), and on understanding the impact of Walker circulation biases on modelled tropical rainfall elsewhere in the world. |
first_indexed | 2024-03-07T02:32:06Z |
format | Journal article |
id | oxford-uuid:a79669c7-1d3b-4c53-a2e2-5500609eca49 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-07T02:32:06Z |
publishDate | 2020 |
publisher | Wiley |
record_format | dspace |
spelling | oxford-uuid:a79669c7-1d3b-4c53-a2e2-5500609eca492022-03-27T02:55:40ZRepresentation of the Indian Ocean Walker Circulation in climate models and links to Kenyan rainfallJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a79669c7-1d3b-4c53-a2e2-5500609eca49EnglishSymplectic ElementsWiley2020King, JAWashington, REngelstaedter, SReliable climate change projections over East Africa are vital because of regional vulnerability to precipitation changes. However, global climate models from Coupled Model Intercomparison Project Phase 5 (CMIP5) display significant biases in their representation of key East African rainfall seasons, which call into question the reliability of projected climate change. We investigate the links between models' representation of rainfall over Kenya during the long and short rains and the proximate Walker circulation. There is a strong correlation in the short rains between model biases in Kenyan rainfall and in the mid‐to‐upper tropospheric vertical velocity associated with this circulation. The overturning Indian Ocean Walker cell at the equator is absent in 5/25 models during the short rains – these models exhibit wet biases. In the long rains, dry biased models overestimate the strength of the descending limb of the circulation over East Africa. Omega biases over the Congo Basin are linked to broader Walker circulation biases. During the long rains, models overestimate equatorial descent more generally across the Western Hemisphere Tropics (0°E–200°E). A significant correlation is obtained across the model ensemble between model rainfall over Kenya and Western Hemisphere equatorial ascent during November. Atmosphere‐only models display some improvements over coupled models, but biases of a similar magnitude remain. We therefore propose Indian Ocean Walker circulation errors as a key source of bias in CMIP5 East African rainfall. The results add to recent work on CMIP5 biases in this region, demonstrating that the Indian Ocean Walker circulation should be a focus for future model improvement and a consideration when assessing the reliability of climate projections over East Africa. Further work is needed on the causes of Walker circulation biases (in particular the role of SST), and on understanding the impact of Walker circulation biases on modelled tropical rainfall elsewhere in the world. |
spellingShingle | King, JA Washington, R Engelstaedter, S Representation of the Indian Ocean Walker Circulation in climate models and links to Kenyan rainfall |
title | Representation of the Indian Ocean Walker Circulation in climate models and links to Kenyan rainfall |
title_full | Representation of the Indian Ocean Walker Circulation in climate models and links to Kenyan rainfall |
title_fullStr | Representation of the Indian Ocean Walker Circulation in climate models and links to Kenyan rainfall |
title_full_unstemmed | Representation of the Indian Ocean Walker Circulation in climate models and links to Kenyan rainfall |
title_short | Representation of the Indian Ocean Walker Circulation in climate models and links to Kenyan rainfall |
title_sort | representation of the indian ocean walker circulation in climate models and links to kenyan rainfall |
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