Tropical Cyclones
Research Portfolio
A curated overview of tropical dynamics, climate feedbacks, and model-development research.
Theme Preview
Tropical Cyclones
Forcing and Feedback
Model Development and Evaluation
Overview
Process-focused work on tropical cyclone genesis, intensity, and frequency response, emphasizing radiation-convection coupling, upper-atmosphere controls, and warming-climate amplification mechanisms.
Journal of Climate (2021): radiative interaction controls on TC genesis, frequency, and storm duration.
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Journal of Climate (2023): vertical-process decomposition of radiative feedbacks and moist static energy variance in TCs.
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Geophysical Research Letters (2026): upper-atmosphere bias controls on potential intensity, TC frequency, and ACE.
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Journal of Climate manuscript draft (JCLI-D-25-0570): efficacy-driven amplification of TC intensification.
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JAMES (2021): suppressing synoptic-scale radiative coupling weakens aggregation and reduces extreme tropical precipitation.
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Science Advances (2024): tropical cloud-feedback uncertainty links ECS spread with TC seed and frequency response.
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Research on radiative feedback structure and pattern effects, including meridional forcing efficacy, land-mediated ERF adjustments, and Green's-function analysis of SST-driven longwave and shortwave responses.
How the latitude of imposed radiative forcing changes feedback structure and effective climate sensitivity.
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Nature Climate Change (2021): salinity-pattern amplification enhances ocean heat uptake and moderates transient warming.
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Land temperature and soil-moisture constraints shift fixed-SST 4xCO2 ERF and radiative-adjustment structure in AM4.
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Using a Green's function framework to diagnose SST-pattern effects on radiative feedbacks in GFDL AM4 and CM4.
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Large-scale convective aggregation links tropical SST gradients to longwave and shortwave radiative responses.
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Journal of Climate (2024): why Green's-function superposition can overestimate radiative responses under large patterned SST warming.
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Method-development efforts spanning coordinated experiment protocols, emulator evaluation, and precipitation-process benchmarking to diagnose model behavior and improve projection credibility.
A coordinated protocol to diagnose and compare atmospheric Green's functions across models.
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Investigating how climate models simulate the daily cycle of rainfall and identifying biases.
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Examining how precipitation patterns are expected to evolve in a warming climate.
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