Tropical cyclone activity in the high-resolution community earth system model and the impact of ocean coupling.
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High‐resolution Atmosphere General Circulation Models (AGCMs) are capable of directly simulating realistic tropical cyclone (TC) statistics, providing a promising approach for TC‐climate studies. Active air‐sea coupling in a coupled model framework is essential to capturing TC‐ocean interactions, which can influence TC‐climate connections on interannual to decadal time scales. Here we investigate how the choices of ocean coupling can affect the directly simulated TCs using high‐resolution configurations of the Community Earth System Model (CESM). We performed a suite of high‐resolution, multidecadal, global‐scale CESM simulations in which the atmosphere (∼0.25° grid spacing) is configured with three different levels of ocean coupling: prescribed climatological sea surface temperature (SST) (ATM), mixed layer ocean (SLAB), and dynamic ocean (CPL). We find that different levels of ocean coupling can influence simulated TC frequency, geographical distributions, and storm intensity. ATM simulates more storms and higher overall storm intensity than the coupled simulations. It also simulates higher TC track density over the eastern Pacific and the North Atlantic, while TC tracks are relatively sparse within CPL and SLAB for these regions. Storm intensification and the maximum wind speed are sensitive to the representations of local surface flux feedbacks in different coupling configurations. Key differences in storm number and distribution can be attributed to variations in the modeled large‐scale climate mean state and variability that arise from the combined effect of intrinsic model biases and air‐sea interactions. Results help to improve our understanding about the representation of TCs in high‐resolution coupled Earth system models, with important implications for TC‐climate applications.
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Hurricane-permitting global climate model simulations tend to overpredict hurricane activity if oceanic feedbacks are neglected.
“Hurricane-permitting global climate model simulations are becoming increasingly feasible (Patricola et al., 2014;Wehner et al., 2014;Walsh et al., 2015;Haarsma et al., 2016), but tend to overpredict hurricane activity if oceanic feedbacks are neglected (Zarzycki, 2016;Li and Sriver, 2018).”
From The tropical atlantic observing system (2019) · cites this paper as Li and Sriver, 2018
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- Authors
- Li, H., & Sriver, R. L.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Corresponding author
- Li, Hui
- Venue
- Journal of Advances in Modeling Earth Systems
- Publisher
- American Geophysical Union (AGU)
- Published
- 2018-01
- Volume
- 10
- Issue
- 1
- Pages
- 165-186
- ISSN
- 1942-2466 (ISSN-L)
- OpenAlex
- W2783274775
- Cited by
- 75
- References
- 69
- Citations by year
- 2026: 9 · 2025: 7 · 2024: 8 · 2023: 7 · 2022: 4 · 2021: 19 · 2020: 10 · 2019: 6 · 2018: 5
- FWCI
- 4.87
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Advances in Modeling Earth Systems (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Science Foundation (OCI‐0725070, ACI‐1238993)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Tropical and Extratropical Cyclones Research
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Keywords
- tropical cyclones, ocean coupling, Community Earth System Model, high-resolution climate modeling, ocean-atmosphere interaction, sea surface temperature, ocean mixed layer, tropical cyclone frequency, storm intensity, tropical cyclone tracks, eastern Pacific, North Atlantic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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