How Much Does Tropical Cyclone Rainfall Scale with Temperature? A Re-analysis of Ali et al. (2026) for the North Atlantic, 2015–2024

Ali et al. (2026) reported that heavy-precipitation intensity in North Atlantic tropical cyclones (TCs) rises by a median of 21% per kelvin of local dewpoint, about three times the Clausius–Clapeyron (CC) rate of ~7%/K. The scaling is "apparent": it is estimated by pooling storm time steps across storms, places and seasons, not from change over time. I rebuilt the analysis from public data (IBTrACS, ERA5, IMERG V07) for 172 storms and 3,006 TC time steps in 2015–2024 and tested it in four ways, with confidence intervals from a bootstrap over storms. (1) The paper's binned method gives 12.3%/K [9.2, 15.4] for dewpoint; the published 21.3%/K lies outside this interval, as do the published air-temperature and SST rates. (2) Dewpoint measured under the heavy rain or at the storm centre gives 12.7–17.8%/K; dewpoint in the storm environment gives 9.0 [6.0, 11.3]%/K. (3) Controlling for latitude, intensity and translation speed reduces the pooled log-linear estimate from 9.9 to 7.3%/K, and comparing time steps within the same storm reduces it to 1.7 [−2.1, 5.3]%/K. (4) Warmer-than-usual SST for a given place and season shows no detectable effect (0.7 [−7.6, 9.9]%/K), and storm rain intensity shows no trend over the decade. The super-CC rate is therefore a between-storm (cross-sectional) association. It does not show that warming makes a given storm rain harder at 21%/K, and the data are consistent with near- or sub-CC scaling once storm-to-storm differences are removed.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.24144930
Primary Topic
Tropical and Extratropical Cyclones Research
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

How Much Does Tropical Cyclone Rainfall Scale with Temperature? A Re-analysis of Ali et al. (2026) for the North Atlantic, 2015–2024

Mark L. Morrissey
Zenodo (CERN European Organization for Nuclear Research)
Tropical and Extratropical Cyclones Research
preprint

How Much Does Tropical Cyclone Rainfall Scale with Temperature? A Re-analysis of Ali et al. (2026) for the North Atlantic, 2015–2024

Mark L. Morrissey
preprint en

Abstract

Ali et al. (2026) reported that heavy-precipitation intensity in North Atlantic tropical cyclones (TCs) rises by a median of 21% per kelvin of local dewpoint, about three times the Clausius–Clapeyron (CC) rate of ~7%/K. The scaling is "apparent": it is estimated by pooling storm time steps across storms, places and seasons, not from change over time. I rebuilt the analysis from public data (IBTrACS, ERA5, IMERG V07) for 172 storms and 3,006 TC time steps in 2015–2024 and tested it in four ways, with confidence intervals from a bootstrap over storms. (1) The paper's binned method gives 12.3%/K [9.2, 15.4] for dewpoint; the published 21.3%/K lies outside this interval, as do the published air-temperature and SST rates. (2) Dewpoint measured under the heavy rain or at the storm centre gives 12.7–17.8%/K; dewpoint in the storm environment gives 9.0 [6.0, 11.3]%/K. (3) Controlling for latitude, intensity and translation speed reduces the pooled log-linear estimate from 9.9 to 7.3%/K, and comparing time steps within the same storm reduces it to 1.7 [−2.1, 5.3]%/K. (4) Warmer-than-usual SST for a given place and season shows no detectable effect (0.7 [−7.6, 9.9]%/K), and storm rain intensity shows no trend over the decade. The super-CC rate is therefore a between-storm (cross-sectional) association. It does not show that warming makes a given storm rain harder at 21%/K, and the data are consistent with near- or sub-CC scaling once storm-to-storm differences are removed.

Zenodo (CERN European Organization for Nuclear Research)
University of Oklahoma (US)
Tropical and Extratropical Cyclones Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon