An Analysis of SeaWinds Simultaneous Wind/Rain Retrieval in Severe Weather Events

Scatterometers, such as SeaWinds, can provide wide coverage of ocean surface winds. They estimate near-surface wind vectors by relating measured radar backscatter to a geophysical model function. However, SeaWinds measurements are also sensitive to rain, and conventional wind retrieval degrades in r...

Full description

Bibliographic Details
Main Author: Allen, Jeffrey R.
Format: Others
Published: BYU ScholarsArchive 2005
Subjects:
Online Access:https://scholarsarchive.byu.edu/etd/242
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1241&context=etd
id ndltd-BGMYU2-oai-scholarsarchive.byu.edu-etd-1241
record_format oai_dc
spelling ndltd-BGMYU2-oai-scholarsarchive.byu.edu-etd-12412021-09-12T05:00:51Z An Analysis of SeaWinds Simultaneous Wind/Rain Retrieval in Severe Weather Events Allen, Jeffrey R. Scatterometers, such as SeaWinds, can provide wide coverage of ocean surface winds. They estimate near-surface wind vectors by relating measured radar backscatter to a geophysical model function. However, SeaWinds measurements are also sensitive to rain, and conventional wind retrieval degrades in rainy conditions. An algorithm that exploits SeaWinds' sensitivity to both wind and rain has be developed. This algorithm, termed simultaneous wind/rain retrieval, retrieves both wind vectors and rain rates for a given ocean area. Instantaneous results of simultaneous wind/rain retrieval in Hurricane events is analyzed through comparison with the NEXRAD ground-based radar system. This comparison allows validation of retrieved rains. Additionally, conditions that affect the accuracy of SeaWinds wind/rain observations are evaluated. It is shown that, when thresholded, the rains retrieved by SeaWinds give an adequate rain flag. The comparisons of SeaWinds and NEXRAD rain estimates facilitate construction of a model to simulate variability in the SeaWinds rain estimates. The model is used to show that rain estimates are unbiased, though with significant variability. The variability is likely to be primarily driven by the noise inherent to the SeaWinds system. 2005-03-08T08:00:00Z text application/pdf https://scholarsarchive.byu.edu/etd/242 https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1241&context=etd http://lib.byu.edu/about/copyright/ Theses and Dissertations BYU ScholarsArchive SeaWinds QuikSCAT scatterometer weather radar NEXRAD rain detection Simultanous Wind/Rain Retrieval Electrical and Computer Engineering
collection NDLTD
format Others
sources NDLTD
topic SeaWinds
QuikSCAT
scatterometer
weather radar
NEXRAD
rain detection
Simultanous Wind/Rain Retrieval
Electrical and Computer Engineering
spellingShingle SeaWinds
QuikSCAT
scatterometer
weather radar
NEXRAD
rain detection
Simultanous Wind/Rain Retrieval
Electrical and Computer Engineering
Allen, Jeffrey R.
An Analysis of SeaWinds Simultaneous Wind/Rain Retrieval in Severe Weather Events
description Scatterometers, such as SeaWinds, can provide wide coverage of ocean surface winds. They estimate near-surface wind vectors by relating measured radar backscatter to a geophysical model function. However, SeaWinds measurements are also sensitive to rain, and conventional wind retrieval degrades in rainy conditions. An algorithm that exploits SeaWinds' sensitivity to both wind and rain has be developed. This algorithm, termed simultaneous wind/rain retrieval, retrieves both wind vectors and rain rates for a given ocean area. Instantaneous results of simultaneous wind/rain retrieval in Hurricane events is analyzed through comparison with the NEXRAD ground-based radar system. This comparison allows validation of retrieved rains. Additionally, conditions that affect the accuracy of SeaWinds wind/rain observations are evaluated. It is shown that, when thresholded, the rains retrieved by SeaWinds give an adequate rain flag. The comparisons of SeaWinds and NEXRAD rain estimates facilitate construction of a model to simulate variability in the SeaWinds rain estimates. The model is used to show that rain estimates are unbiased, though with significant variability. The variability is likely to be primarily driven by the noise inherent to the SeaWinds system.
author Allen, Jeffrey R.
author_facet Allen, Jeffrey R.
author_sort Allen, Jeffrey R.
title An Analysis of SeaWinds Simultaneous Wind/Rain Retrieval in Severe Weather Events
title_short An Analysis of SeaWinds Simultaneous Wind/Rain Retrieval in Severe Weather Events
title_full An Analysis of SeaWinds Simultaneous Wind/Rain Retrieval in Severe Weather Events
title_fullStr An Analysis of SeaWinds Simultaneous Wind/Rain Retrieval in Severe Weather Events
title_full_unstemmed An Analysis of SeaWinds Simultaneous Wind/Rain Retrieval in Severe Weather Events
title_sort analysis of seawinds simultaneous wind/rain retrieval in severe weather events
publisher BYU ScholarsArchive
publishDate 2005
url https://scholarsarchive.byu.edu/etd/242
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1241&context=etd
work_keys_str_mv AT allenjeffreyr ananalysisofseawindssimultaneouswindrainretrievalinsevereweatherevents
AT allenjeffreyr analysisofseawindssimultaneouswindrainretrievalinsevereweatherevents
_version_ 1719480267737923584