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Improved simulation of 19th- and 20th-century North Atlantic hurricane frequency after correcting historical sea surface temperatures

Improved simulation of 19th- and 20th-century North Atlantic hurricane frequency after correcting historical sea surface temperatures
Improved simulation of 19th- and 20th-century North Atlantic hurricane frequency after correcting historical sea surface temperatures
Confidence in dynamical and statistical hurricane prediction is rooted in the skillful reproduction of hurricane frequency using sea surface temperature (SST) patterns, but an ensemble of high-resolution atmospheric simulation extending to the 1880s indicates model-data disagreements that exceed those expected from documented uncertainties. We apply recently developed corrections for biases in historical SSTs that lead to revisions in tropical to subtropical SST gradients by ±0.1°C. Revised atmospheric simulations have 20% adjustments in the decadal variations of hurricane frequency and become more consistent with observations. The improved simulation skill from revised SST estimates not only supports the utility of high-resolution atmospheric models for hurricane projections but also highlights the need for accurate estimates of past and future patterns of SST changes.
2375-2548
Chan, Duo
4c1278dc-7f39-4b67-b1cd-3f81f55f4906
Vecchi, Gabriel A.
a0af73df-3944-4ef9-bb1e-08d1e90a603e
Yang, Wenchang
92efaf88-b625-49d1-bae4-5d4cd388bdf9
Huybers, Peter
48e9a517-aa2a-40f1-96ef-06d76b19291c
Chan, Duo
4c1278dc-7f39-4b67-b1cd-3f81f55f4906
Vecchi, Gabriel A.
a0af73df-3944-4ef9-bb1e-08d1e90a603e
Yang, Wenchang
92efaf88-b625-49d1-bae4-5d4cd388bdf9
Huybers, Peter
48e9a517-aa2a-40f1-96ef-06d76b19291c

Chan, Duo, Vecchi, Gabriel A., Yang, Wenchang and Huybers, Peter (2021) Improved simulation of 19th- and 20th-century North Atlantic hurricane frequency after correcting historical sea surface temperatures. Science Advances, 7 (26), [eabg6931]. (doi:10.1126/sciadv.abg6931).

Record type: Article

Abstract

Confidence in dynamical and statistical hurricane prediction is rooted in the skillful reproduction of hurricane frequency using sea surface temperature (SST) patterns, but an ensemble of high-resolution atmospheric simulation extending to the 1880s indicates model-data disagreements that exceed those expected from documented uncertainties. We apply recently developed corrections for biases in historical SSTs that lead to revisions in tropical to subtropical SST gradients by ±0.1°C. Revised atmospheric simulations have 20% adjustments in the decadal variations of hurricane frequency and become more consistent with observations. The improved simulation skill from revised SST estimates not only supports the utility of high-resolution atmospheric models for hurricane projections but also highlights the need for accurate estimates of past and future patterns of SST changes.

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Accepted/In Press date: 13 May 2021
e-pub ahead of print date: 25 June 2021

Identifiers

Local EPrints ID: 483642
URI: http://eprints.soton.ac.uk/id/eprint/483642
ISSN: 2375-2548
PURE UUID: 9c9389c8-9744-4c14-8bab-7c0220697fed
ORCID for Duo Chan: ORCID iD orcid.org/0000-0002-8573-5115

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Date deposited: 02 Nov 2023 18:16
Last modified: 18 Mar 2024 04:15

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Contributors

Author: Duo Chan ORCID iD
Author: Gabriel A. Vecchi
Author: Wenchang Yang
Author: Peter Huybers

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