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Impact of having realistic tropical cyclone frequency on ocean heat content and transport forecasts in a high-resolution coupled model
This study examines two sets of high‐resolution coupled model forecasts starting from no‐tropical cyclone (TC) and correct‐TC‐statistics initial conditions to understand the role of TC events on climate prediction. While the model with no‐TC initial conditions can quickly spin‐up TCs within a week,...
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Published in: | Geophysical research letters 2015-07, Vol.42 (14), p.5966-5973 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This study examines two sets of high‐resolution coupled model forecasts starting from no‐tropical cyclone (TC) and correct‐TC‐statistics initial conditions to understand the role of TC events on climate prediction. While the model with no‐TC initial conditions can quickly spin‐up TCs within a week, the initial conditions with a corrected TC distribution can produce more accurate forecast of sea surface temperature up to 1.5 months and maintain larger ocean heat content up to 6 months due to enhanced mixing from continuous interactions between initialized and forecasted TCs and the evolving ocean states. The TC‐enhanced tropical ocean mixing strengthens the meridional heat transport in the Southern Hemisphere driven primarily by Southern Ocean surface Ekman fluxes but weakens the Northern Hemisphere poleward transport in this model. This study suggests a future plausible initialization procedure for seamless weather‐climate prediction when individual convection‐permitting cyclone initialization is incorporated into this TC‐statistics‐permitting framework.
Key Points
TCs play an important role in climate prediction
TCs enhance tropical ocean mixing and affect ocean heat transport
TCs in initial conditions help forecast more accurate SST |
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ISSN: | 0094-8276 1944-8007 |
DOI: | 10.1002/2015GL064745 |