期刊
SCIENCE ADVANCES
卷 7, 期 26, 页码 -出版社
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/sciadv.abg6931
关键词
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资金
- Harvard Global Institute
- NOAA [NA180AR4320123]
- Carbon Mitigation Initiative at Princeton University
Improved simulation skill in hurricane frequency prediction can be achieved by correcting biases in historical SST estimates, leading to more consistent results with observations. This highlights the importance of accurate estimates of past and future SST changes for the utility of high-resolution atmospheric models in hurricane projections.
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 degrees 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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