Loading…
Assessment of CYGNSS Wind Speed Retrievals in Tropical Cyclones
The NASA CYGNSS satellite constellation measures ocean surface winds using the existing network of the Global Navigation Satellite System (GNSS) and was designed for measurements in tropical cyclones (TCs). Here, we focus on using a consistent methodology to validate multiple CYGNSS wind data record...
Saved in:
Published in: | Remote sensing (Basel, Switzerland) Switzerland), 2021-12, Vol.13 (24), p.5110 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c361t-33b01f156ed8ba0568a62356252c53a6e441c50046d2867835e5e3e05873faf43 |
---|---|
cites | cdi_FETCH-LOGICAL-c361t-33b01f156ed8ba0568a62356252c53a6e441c50046d2867835e5e3e05873faf43 |
container_end_page | |
container_issue | 24 |
container_start_page | 5110 |
container_title | Remote sensing (Basel, Switzerland) |
container_volume | 13 |
creator | Ricciardulli, Lucrezia Mears, Carl Manaster, Andrew Meissner, Thomas |
description | The NASA CYGNSS satellite constellation measures ocean surface winds using the existing network of the Global Navigation Satellite System (GNSS) and was designed for measurements in tropical cyclones (TCs). Here, we focus on using a consistent methodology to validate multiple CYGNSS wind data records currently available to the public, some focusing on low to moderate wind speeds, others for high winds, a storm-centric product for TC analyses, and a wind dataset from NOAA that applies a track-wise bias correction. Our goal is to document their differences and provide guidance to users. The assessment of CYGNSS winds (2017–2020) is performed here at global scales and for all wind regimes, with particular focus on TCs, using measurements from radiometers that are specifically developed for high winds: SMAP, WindSat, and AMSR2 TC-winds. The CYGNSS high-wind products display significant biases in TCs and very large uncertainties. Similar biases and large uncertainties were found with the storm-centric wind product. On the other hand, the NOAA winds show promising skill in TCs, approaching a level suitable for tropical meteorology studies. At the global level, the NOAA winds are overall unbiased at wind regimes from 0–30 m/s and were selected for a test assimilation into a global wind analysis, CCMP, also presented here. |
doi_str_mv | 10.3390/rs13245110 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_79e31edfba394f428e5efe6622d5c183</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_79e31edfba394f428e5efe6622d5c183</doaj_id><sourcerecordid>2612854281</sourcerecordid><originalsourceid>FETCH-LOGICAL-c361t-33b01f156ed8ba0568a62356252c53a6e441c50046d2867835e5e3e05873faf43</originalsourceid><addsrcrecordid>eNpNkFFLwzAQx4MoOOZe_AQF34RqkkvS9ElG0TkYCm4iPoWsvUhH19SkE_btrU7Ue7nj7n-_O_6EnDN6BZDT6xAZcCEZo0dkxGnGU8FzfvyvPiWTGDd0CACWUzEiN9MYMcYttn3iXVK8zh6Wy-Slbqtk2SFWyRP2ocYP28SkbpNV8F1d2iYp9mXjW4xn5MQNM5z85DF5vrtdFffp4nE2L6aLtATF-hRgTZljUmGl15ZKpa3iIBWXvJRgFQrBSkmpUBXXKtMgUSIglToDZ52AMZkfuJW3G9OFemvD3nhbm--GD2_Ghr4uGzRZjsCwcmsLuXCC6wHlUCnOK1kyDQPr4sDqgn_fYezNxu9CO7xvuGJcy2GHDarLg6oMPsaA7vcqo-bLb_PnN3wCPrxu6w</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2612854281</pqid></control><display><type>article</type><title>Assessment of CYGNSS Wind Speed Retrievals in Tropical Cyclones</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><creator>Ricciardulli, Lucrezia ; Mears, Carl ; Manaster, Andrew ; Meissner, Thomas</creator><creatorcontrib>Ricciardulli, Lucrezia ; Mears, Carl ; Manaster, Andrew ; Meissner, Thomas</creatorcontrib><description>The NASA CYGNSS satellite constellation measures ocean surface winds using the existing network of the Global Navigation Satellite System (GNSS) and was designed for measurements in tropical cyclones (TCs). Here, we focus on using a consistent methodology to validate multiple CYGNSS wind data records currently available to the public, some focusing on low to moderate wind speeds, others for high winds, a storm-centric product for TC analyses, and a wind dataset from NOAA that applies a track-wise bias correction. Our goal is to document their differences and provide guidance to users. The assessment of CYGNSS winds (2017–2020) is performed here at global scales and for all wind regimes, with particular focus on TCs, using measurements from radiometers that are specifically developed for high winds: SMAP, WindSat, and AMSR2 TC-winds. The CYGNSS high-wind products display significant biases in TCs and very large uncertainties. Similar biases and large uncertainties were found with the storm-centric wind product. On the other hand, the NOAA winds show promising skill in TCs, approaching a level suitable for tropical meteorology studies. At the global level, the NOAA winds are overall unbiased at wind regimes from 0–30 m/s and were selected for a test assimilation into a global wind analysis, CCMP, also presented here.</description><identifier>ISSN: 2072-4292</identifier><identifier>EISSN: 2072-4292</identifier><identifier>DOI: 10.3390/rs13245110</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Algorithms ; Bias ; Calibration ; Cyclones ; CYGNSS ; Datasets ; Global navigation satellite system ; Hurricanes ; Investigations ; Meteorology ; microwave remote sensing ; Ocean surface ; ocean surface winds ; Quality control ; Radiometers ; Rain ; Remote sensing systems ; Satellite constellations ; Satellites ; Science ; Sensors ; Storms ; Tropical cyclones ; Tropical meteorology ; Uncertainty ; Wind ; Wind speed</subject><ispartof>Remote sensing (Basel, Switzerland), 2021-12, Vol.13 (24), p.5110</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c361t-33b01f156ed8ba0568a62356252c53a6e441c50046d2867835e5e3e05873faf43</citedby><cites>FETCH-LOGICAL-c361t-33b01f156ed8ba0568a62356252c53a6e441c50046d2867835e5e3e05873faf43</cites><orcidid>0000-0002-5488-1566</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2612854281/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2612854281?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><creatorcontrib>Ricciardulli, Lucrezia</creatorcontrib><creatorcontrib>Mears, Carl</creatorcontrib><creatorcontrib>Manaster, Andrew</creatorcontrib><creatorcontrib>Meissner, Thomas</creatorcontrib><title>Assessment of CYGNSS Wind Speed Retrievals in Tropical Cyclones</title><title>Remote sensing (Basel, Switzerland)</title><description>The NASA CYGNSS satellite constellation measures ocean surface winds using the existing network of the Global Navigation Satellite System (GNSS) and was designed for measurements in tropical cyclones (TCs). Here, we focus on using a consistent methodology to validate multiple CYGNSS wind data records currently available to the public, some focusing on low to moderate wind speeds, others for high winds, a storm-centric product for TC analyses, and a wind dataset from NOAA that applies a track-wise bias correction. Our goal is to document their differences and provide guidance to users. The assessment of CYGNSS winds (2017–2020) is performed here at global scales and for all wind regimes, with particular focus on TCs, using measurements from radiometers that are specifically developed for high winds: SMAP, WindSat, and AMSR2 TC-winds. The CYGNSS high-wind products display significant biases in TCs and very large uncertainties. Similar biases and large uncertainties were found with the storm-centric wind product. On the other hand, the NOAA winds show promising skill in TCs, approaching a level suitable for tropical meteorology studies. At the global level, the NOAA winds are overall unbiased at wind regimes from 0–30 m/s and were selected for a test assimilation into a global wind analysis, CCMP, also presented here.</description><subject>Algorithms</subject><subject>Bias</subject><subject>Calibration</subject><subject>Cyclones</subject><subject>CYGNSS</subject><subject>Datasets</subject><subject>Global navigation satellite system</subject><subject>Hurricanes</subject><subject>Investigations</subject><subject>Meteorology</subject><subject>microwave remote sensing</subject><subject>Ocean surface</subject><subject>ocean surface winds</subject><subject>Quality control</subject><subject>Radiometers</subject><subject>Rain</subject><subject>Remote sensing systems</subject><subject>Satellite constellations</subject><subject>Satellites</subject><subject>Science</subject><subject>Sensors</subject><subject>Storms</subject><subject>Tropical cyclones</subject><subject>Tropical meteorology</subject><subject>Uncertainty</subject><subject>Wind</subject><subject>Wind speed</subject><issn>2072-4292</issn><issn>2072-4292</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNkFFLwzAQx4MoOOZe_AQF34RqkkvS9ElG0TkYCm4iPoWsvUhH19SkE_btrU7Ue7nj7n-_O_6EnDN6BZDT6xAZcCEZo0dkxGnGU8FzfvyvPiWTGDd0CACWUzEiN9MYMcYttn3iXVK8zh6Wy-Slbqtk2SFWyRP2ocYP28SkbpNV8F1d2iYp9mXjW4xn5MQNM5z85DF5vrtdFffp4nE2L6aLtATF-hRgTZljUmGl15ZKpa3iIBWXvJRgFQrBSkmpUBXXKtMgUSIglToDZ52AMZkfuJW3G9OFemvD3nhbm--GD2_Ghr4uGzRZjsCwcmsLuXCC6wHlUCnOK1kyDQPr4sDqgn_fYezNxu9CO7xvuGJcy2GHDarLg6oMPsaA7vcqo-bLb_PnN3wCPrxu6w</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Ricciardulli, Lucrezia</creator><creator>Mears, Carl</creator><creator>Manaster, Andrew</creator><creator>Meissner, Thomas</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5488-1566</orcidid></search><sort><creationdate>20211201</creationdate><title>Assessment of CYGNSS Wind Speed Retrievals in Tropical Cyclones</title><author>Ricciardulli, Lucrezia ; Mears, Carl ; Manaster, Andrew ; Meissner, Thomas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-33b01f156ed8ba0568a62356252c53a6e441c50046d2867835e5e3e05873faf43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Bias</topic><topic>Calibration</topic><topic>Cyclones</topic><topic>CYGNSS</topic><topic>Datasets</topic><topic>Global navigation satellite system</topic><topic>Hurricanes</topic><topic>Investigations</topic><topic>Meteorology</topic><topic>microwave remote sensing</topic><topic>Ocean surface</topic><topic>ocean surface winds</topic><topic>Quality control</topic><topic>Radiometers</topic><topic>Rain</topic><topic>Remote sensing systems</topic><topic>Satellite constellations</topic><topic>Satellites</topic><topic>Science</topic><topic>Sensors</topic><topic>Storms</topic><topic>Tropical cyclones</topic><topic>Tropical meteorology</topic><topic>Uncertainty</topic><topic>Wind</topic><topic>Wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ricciardulli, Lucrezia</creatorcontrib><creatorcontrib>Mears, Carl</creatorcontrib><creatorcontrib>Manaster, Andrew</creatorcontrib><creatorcontrib>Meissner, Thomas</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Engineering Database</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Directory of Open Access Journals</collection><jtitle>Remote sensing (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ricciardulli, Lucrezia</au><au>Mears, Carl</au><au>Manaster, Andrew</au><au>Meissner, Thomas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of CYGNSS Wind Speed Retrievals in Tropical Cyclones</atitle><jtitle>Remote sensing (Basel, Switzerland)</jtitle><date>2021-12-01</date><risdate>2021</risdate><volume>13</volume><issue>24</issue><spage>5110</spage><pages>5110-</pages><issn>2072-4292</issn><eissn>2072-4292</eissn><abstract>The NASA CYGNSS satellite constellation measures ocean surface winds using the existing network of the Global Navigation Satellite System (GNSS) and was designed for measurements in tropical cyclones (TCs). Here, we focus on using a consistent methodology to validate multiple CYGNSS wind data records currently available to the public, some focusing on low to moderate wind speeds, others for high winds, a storm-centric product for TC analyses, and a wind dataset from NOAA that applies a track-wise bias correction. Our goal is to document their differences and provide guidance to users. The assessment of CYGNSS winds (2017–2020) is performed here at global scales and for all wind regimes, with particular focus on TCs, using measurements from radiometers that are specifically developed for high winds: SMAP, WindSat, and AMSR2 TC-winds. The CYGNSS high-wind products display significant biases in TCs and very large uncertainties. Similar biases and large uncertainties were found with the storm-centric wind product. On the other hand, the NOAA winds show promising skill in TCs, approaching a level suitable for tropical meteorology studies. At the global level, the NOAA winds are overall unbiased at wind regimes from 0–30 m/s and were selected for a test assimilation into a global wind analysis, CCMP, also presented here.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/rs13245110</doi><orcidid>https://orcid.org/0000-0002-5488-1566</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2072-4292 |
ispartof | Remote sensing (Basel, Switzerland), 2021-12, Vol.13 (24), p.5110 |
issn | 2072-4292 2072-4292 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_79e31edfba394f428e5efe6622d5c183 |
source | Publicly Available Content Database (Proquest) (PQ_SDU_P3) |
subjects | Algorithms Bias Calibration Cyclones CYGNSS Datasets Global navigation satellite system Hurricanes Investigations Meteorology microwave remote sensing Ocean surface ocean surface winds Quality control Radiometers Rain Remote sensing systems Satellite constellations Satellites Science Sensors Storms Tropical cyclones Tropical meteorology Uncertainty Wind Wind speed |
title | Assessment of CYGNSS Wind Speed Retrievals in Tropical Cyclones |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T21%3A11%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessment%20of%20CYGNSS%20Wind%20Speed%20Retrievals%20in%20Tropical%20Cyclones&rft.jtitle=Remote%20sensing%20(Basel,%20Switzerland)&rft.au=Ricciardulli,%20Lucrezia&rft.date=2021-12-01&rft.volume=13&rft.issue=24&rft.spage=5110&rft.pages=5110-&rft.issn=2072-4292&rft.eissn=2072-4292&rft_id=info:doi/10.3390/rs13245110&rft_dat=%3Cproquest_doaj_%3E2612854281%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c361t-33b01f156ed8ba0568a62356252c53a6e441c50046d2867835e5e3e05873faf43%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2612854281&rft_id=info:pmid/&rfr_iscdi=true |