Conditions Associated With Rain Field Size For Tropical Cyclones Landfalling Over The Eastern United States

Keywords

Geographic Information System; Rain field size; Statistical models; Tropical cyclones

Abstract

This study analyzes the relationships between the size of tropical cyclone (TC) rainfall fields and storm attributes and surrounding environmental conditions. A Geographic Information System analysis is employed to measure the area and averaged-quadrant extent of rain fields associated with 70 U.S. landfalling TCs as detected by satellites at a three-hour resolution during 1998–2015. Statistical models are developed to predict the area and extent of TC rainfall fields before and after landfall. The conditions examined include storm intensity, motion, storm location, total precipitable water (TPW), upper-tropospheric divergence, and deep-layer wind shear. The spatial pattern of the area and the quadrant-averaged extent exhibits large variability. The total area and rear extents are much larger over the southeastern Gulf, especially for the right-rear extent, which is approximately 300 km away from the center. As the area and rear extents quickly decay, rainfall in the forward quadrants can still extend farther than 200–300 km from the storm center during and after landfall. The average rainfall duration is 30 (22) hours on the right (left) side of the storm track. The statistical models reveal that TPW within 400 km of the storm center and upper-tropospheric divergence are the strongest predictors of both overall coverage and extent in all quadrants. A deep-layer vertical wind shear with a strong westerly component correlates well with a larger extent in the forward quadrants of the storm. Storm intensity has more influence on rainfall over the ocean, while the distance to the coastline has more influence over land.

Publication Date

12-1-2018

Publication Title

Atmospheric Research

Volume

214

Number of Pages

375-385

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.atmosres.2018.08.019

Socpus ID

85052471658 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85052471658

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