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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MDPI AG
2021
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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) |
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Dual Frequency Precipitation Radar global precipitation measurement satellite near-nadir normalized radar cross-section wind speed Science Q |
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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 |
_version_ |
1718410628516806656 |