Event Title

Comparing Dual-Polarized and Conventional Tropical Rainfall Radar Estimates for Hurricane Iselle

Presenter Information

Lauren Carter, Applied Meteorology

Faculty Sponsor(s)

Samuel Miller

Location

Hartman Union Building Room 109

Presentation Type

Event

Start Date

4-28-2017 2:30 PM

End Date

4-28-2017 2:45 PM

Abstract

Precipitation estimation has historically been a difficult task in radar meteorology. The upgrade to dual-polarization (dual-pol) was one way meteorologists have attempted to improve this issue, although it can sometimes still be outperformed by the conventional precipitation processing system (PPS). Hurricane Iselle made landfall in Hawaii in 2014, bringing major precipitation to many parts of the state. Using the storm total precipitation data product produced by the WSR-88D radars in Hawaii, this study determined whether the dual-polarized or conventional radars generated products that more accurately estimated the precipitation from this event. These data were compared to METAR reports from seven different weather stations across Hawaii for accuracy. It was found that, although the standard percent errors were significant for both, the dual-pol estimates outperformed the conventional PPS estimates at a majority of the weather stations.

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Apr 28th, 2:30 PM Apr 28th, 2:45 PM

Comparing Dual-Polarized and Conventional Tropical Rainfall Radar Estimates for Hurricane Iselle

Hartman Union Building Room 109

Precipitation estimation has historically been a difficult task in radar meteorology. The upgrade to dual-polarization (dual-pol) was one way meteorologists have attempted to improve this issue, although it can sometimes still be outperformed by the conventional precipitation processing system (PPS). Hurricane Iselle made landfall in Hawaii in 2014, bringing major precipitation to many parts of the state. Using the storm total precipitation data product produced by the WSR-88D radars in Hawaii, this study determined whether the dual-polarized or conventional radars generated products that more accurately estimated the precipitation from this event. These data were compared to METAR reports from seven different weather stations across Hawaii for accuracy. It was found that, although the standard percent errors were significant for both, the dual-pol estimates outperformed the conventional PPS estimates at a majority of the weather stations.