Editorial Type:
Article
Article Type:
Research Article

Hurricane “Rainfall Potential” Derived from Satellite Observations Aids Overland Rainfall Prediction

Haiyan Jiang Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, and Mesoscale Atmospheric Processes Branch, NASA Goddard Space Flight Center, Greenbelt, Maryland

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Jeffrey B. Halverson Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, Maryland

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Joanne Simpson Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, Maryland

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Edward J. Zipser Department of Meteorology, University of Utah, Salt Lake City, Utah

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Print Publication:
01 Apr 2008
DOI:
https://doi.org/10.1175/2007JAMC1619.1
Page(s):
944–959
Restricted access

Abstract

The Tropical Rainfall Measuring Mission–based National Aeronautics and Space Administration Goddard Multisatellite Precipitation Analysis (MPA) product is used to quantify the rainfall distribution in tropical cyclones that made landfall in the United States during 1998–2004. A total of 37 tropical cyclones (TC) are examined, including 2680 three-hourly MPA precipitation observations. Rainfall distributions for overland and overocean observations are compared. It is found that the TC rainfall over ocean bears a strong relationship with the TC maximum wind, whereas the relationship for overland conditions is much weaker. The rainfall potential is defined by using the satellite-derived rain rate, the satellite-derived storm size, and the storm translation speed. This study examines the capability of the overocean rainfall potential to predict a storm’s likelihood of producing heavy rain over land. High correlations between rain potentials before landfall and the maximum storm total rain over land are found using the dataset of the 37 landfalling TCs. Correlations are higher with the average rain potential on the day prior to landfall than with averages over any other time period. A TC overland rainfall index is introduced based on the rainfall potential study. This index can be used to predict the storm peak rainfall accumulation over land. Six landfalling storms during the 2005 Atlantic Ocean hurricane season are examined to verify the capability of using this index to forecast the maximum storm total rain over land in the United States. The range of the maximum storm overland rain forecast error for these six storms is between 2.5% and 24.8%.

* Current affiliation: Department of Meteorology, University of Utah, Salt Lake City, Utah

Corresponding author address: Dr. Haiyan Jiang, 135 S 1460 E, Rm. 819 WBB, Salt Lake City, UT 84112. Email: h.jiang@utah.edu

Abstract

The Tropical Rainfall Measuring Mission–based National Aeronautics and Space Administration Goddard Multisatellite Precipitation Analysis (MPA) product is used to quantify the rainfall distribution in tropical cyclones that made landfall in the United States during 1998–2004. A total of 37 tropical cyclones (TC) are examined, including 2680 three-hourly MPA precipitation observations. Rainfall distributions for overland and overocean observations are compared. It is found that the TC rainfall over ocean bears a strong relationship with the TC maximum wind, whereas the relationship for overland conditions is much weaker. The rainfall potential is defined by using the satellite-derived rain rate, the satellite-derived storm size, and the storm translation speed. This study examines the capability of the overocean rainfall potential to predict a storm’s likelihood of producing heavy rain over land. High correlations between rain potentials before landfall and the maximum storm total rain over land are found using the dataset of the 37 landfalling TCs. Correlations are higher with the average rain potential on the day prior to landfall than with averages over any other time period. A TC overland rainfall index is introduced based on the rainfall potential study. This index can be used to predict the storm peak rainfall accumulation over land. Six landfalling storms during the 2005 Atlantic Ocean hurricane season are examined to verify the capability of using this index to forecast the maximum storm total rain over land in the United States. The range of the maximum storm overland rain forecast error for these six storms is between 2.5% and 24.8%.

* Current affiliation: Department of Meteorology, University of Utah, Salt Lake City, Utah

Corresponding author address: Dr. Haiyan Jiang, 135 S 1460 E, Rm. 819 WBB, Salt Lake City, UT 84112. Email: h.jiang@utah.edu

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Journal of Applied Meteorology and Climatology

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