Wind Speed Retrieval Algorithm Using Ku-Band Radar Onboard GPM Satellite

The algorithm to retrieve wind speed in a wide swath from the normalized radar cross section (NRCS) was developed for the data of Dual Frequency Precipitation Radar (DPR) operating in scanning mode installed onboard a Global Precipitation Measurement (GPM) satellite. The data for Ku-band radar were...

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Main Authors: Maria Panfilova, Vladimir Karaev
Format: article
Language:EN
Published: MDPI AG 2021
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Online Access:https://doaj.org/article/ff78bb4d130d49cf9d83521576fa0b35
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spelling oai:doaj.org-article:ff78bb4d130d49cf9d83521576fa0b352021-11-25T18:54:22ZWind Speed Retrieval Algorithm Using Ku-Band Radar Onboard GPM Satellite10.3390/rs132245652072-4292https://doaj.org/article/ff78bb4d130d49cf9d83521576fa0b352021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4565https://doaj.org/toc/2072-4292The algorithm to retrieve wind speed in a wide swath from the normalized radar cross section (NRCS) was developed for the data of Dual Frequency Precipitation Radar (DPR) operating in scanning mode installed onboard a Global Precipitation Measurement (GPM) satellite. The data for Ku-band radar were used. Equivalent NRCS values at nadir were estimated in a wide swath under the geometrical optics approximation from off-nadir observations. Using these equivalent NRCS nadir values and the sea buoys data, the new parameterization of dependence between NRCS at nadir and the wind speed was obtained. The algorithm was validated using ASCAT (Advanced Scatterometer) data and revealed good accuracy. DPR data are promising for determining wind speed in coastal areas.Maria PanfilovaVladimir KaraevMDPI AGarticleDual Frequency Precipitation Radarglobal precipitation measurement satellitenear-nadir normalized radar cross-sectionwind speedScienceQENRemote Sensing, Vol 13, Iss 4565, p 4565 (2021)
institution DOAJ
collection DOAJ
language EN
topic Dual Frequency Precipitation Radar
global precipitation measurement satellite
near-nadir normalized radar cross-section
wind speed
Science
Q
spellingShingle Dual Frequency Precipitation Radar
global precipitation measurement satellite
near-nadir normalized radar cross-section
wind speed
Science
Q
Maria Panfilova
Vladimir Karaev
Wind Speed Retrieval Algorithm Using Ku-Band Radar Onboard GPM Satellite
description The algorithm to retrieve wind speed in a wide swath from the normalized radar cross section (NRCS) was developed for the data of Dual Frequency Precipitation Radar (DPR) operating in scanning mode installed onboard a Global Precipitation Measurement (GPM) satellite. The data for Ku-band radar were used. Equivalent NRCS values at nadir were estimated in a wide swath under the geometrical optics approximation from off-nadir observations. Using these equivalent NRCS nadir values and the sea buoys data, the new parameterization of dependence between NRCS at nadir and the wind speed was obtained. The algorithm was validated using ASCAT (Advanced Scatterometer) data and revealed good accuracy. DPR data are promising for determining wind speed in coastal areas.
format article
author Maria Panfilova
Vladimir Karaev
author_facet Maria Panfilova
Vladimir Karaev
author_sort Maria Panfilova
title Wind Speed Retrieval Algorithm Using Ku-Band Radar Onboard GPM Satellite
title_short Wind Speed Retrieval Algorithm Using Ku-Band Radar Onboard GPM Satellite
title_full Wind Speed Retrieval Algorithm Using Ku-Band Radar Onboard GPM Satellite
title_fullStr Wind Speed Retrieval Algorithm Using Ku-Band Radar Onboard GPM Satellite
title_full_unstemmed Wind Speed Retrieval Algorithm Using Ku-Band Radar Onboard GPM Satellite
title_sort wind speed retrieval algorithm using ku-band radar onboard gpm satellite
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/ff78bb4d130d49cf9d83521576fa0b35
work_keys_str_mv AT mariapanfilova windspeedretrievalalgorithmusingkubandradaronboardgpmsatellite
AT vladimirkaraev windspeedretrievalalgorithmusingkubandradaronboardgpmsatellite
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