The relationship between sea surface temperature anomalies, wind and translation speed and North Atlantic tropical cyclone rainfall over ocean and land.

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1088/2515-7620/acb31c. This is version 1 of this Preprint.

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Authors

Samantha Hallam, Gerard McCarthy, Xiangbo Feng, Simon Josey, Elizabeth Harris, Andre Dusterhus, Stephen Ogungobenro, Joel Hirschi

Abstract

There have been increasing losses from freshwater flooding associated with United States (US) landfalling hurricanes in recent years. This study analyses the relationship between sea surface temperature anomalies (SSTA), wind and translation speed and North Atlantic tropical cyclone precipitation (TCP) for the period 1998-2017.
For a 1degree C SST increase in the main development region (MDR), there is a 6% increase in the TCP rate (mmhr-1) over the Atlantic, which rises to over 40% over land (US states) and appears linked not only to the Clausius-Clapeyron relationship but also to the increase in tropical cyclone (TC) intensity associated with increasing SSTA. Total annual TCP is significantly correlated with the SST in the MDR. Over the Atlantic there is an increase of 116% and over land there is an increase of 140% in total TCP for a 1degree C rise in SST in the MDR. Again, this is linked to the increase in windspeed and the number of TC tracks which also rises with positive SSTAs in the MDR.
Our analysis of landfalling TC tracks for nine US states provides a systematic review and highlights how TCP varies by US state. The highest number of landfalls per year are found in Florida, North Carolina and Texas. The median tropical cyclone translation speed is 20.3kmhr-1, although this falls to 16.5kmhr-1 over land and there is a latitudinal dependence on translation speed.
Overall, we find a different TCP response to rising SST over the ocean and land, with the response over land over four times more than the Clausius-Clapeyron rate. The links between SSTA in the MDR and both TCP rate and annual total TCP provide useful insights for seasonal to decadal US flood prediction from TCs and suggest that SSTA in the MDR may be a useful predictive index.

DOI

https://doi.org/10.31223/X59H24

Subjects

Physical Sciences and Mathematics

Keywords

tropical cyclone, Oceanography, Atmospheric Science

Dates

Published: 2022-11-10 04:45

Last Updated: 2022-11-10 09:45

License

CC BY Attribution 4.0 International