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Can GNSS Reflectometry Detect Precipitation Over Oceans?
For the first time, a rain signature in Global Navigation Satellite System Reflectometry (GNSS‐R) observations is demonstrated. Based on the argument that the forward quasi‐specular scattering relies upon surface gravity waves with lengths larger than several wavelengths of the reflected signal, a c...
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Published in: | Geophysical research letters 2018-11, Vol.45 (22), p.12,585-12,592 |
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description | For the first time, a rain signature in Global Navigation Satellite System Reflectometry (GNSS‐R) observations is demonstrated. Based on the argument that the forward quasi‐specular scattering relies upon surface gravity waves with lengths larger than several wavelengths of the reflected signal, a commonly made conclusion is that the scatterometric GNSS‐R measurements are not sensitive to the surface small‐scale roughness generated by raindrops impinging on the ocean surface. On the contrary, this study presents an evidence that the bistatic radar cross section σ0 derived from TechDemoSat‐1 data is reduced due to rain at weak winds, lower than ≈ 6 m/s. The decrease is as large as ≈ 0.7 dB at the wind speed of 3 m/s due to a precipitation of 0–2 mm/hr. The simulations based on the recently published scattering theory provide a plausible explanation for this phenomenon which potentially enables the GNSS‐R technique to detect precipitation over oceans at low winds.
Plain Language Summary
Using Global Navigation Satellite System (GNSS) signals, reflected off the Earth's surface (GNSS Reflectometry), is an innovative remote sensing technique with a broad spectrum of geophysical applications. Currently, recent satellite missions, such as the U.K. TechDemoSat‐1 and U.S. Cyclone Global Navigation Satellite System (CYGNSS), pioneer GNSS Reflectometry as a new space observation technology on a global scale. Despite a wide variety of monitored geophysical parameters, the reflected signals have never been used to obtain rain information. For the first time, this study demonstrates a signature in the received signals, due to the modified ocean surface waves by rain splashes, enabling the technique to detect precipitation over oceans induced by weak winds. A plausible physical explanation for this phenomenon is provided based on the recent scattering theory. This study can serve as a starting point for developing a new GNSS Reflectometry application, rain detection over oceans, which might be also implemented for future low‐cost GNSS remote sensing missions. The presented findings also provide a better physical understanding of L band forward scattering mechanism which is directly relevant to the main objective of the currently operational GNSS Reflectometry satellite missions.
Key Points
First evidence of rain signature in GNSS Reflectometry observations enabling the technique to detect rain over oceans induced by weak winds
A novel physical explanation of L‐band forwa |
doi_str_mv | 10.1029/2018GL079708 |
format | article |
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Plain Language Summary
Using Global Navigation Satellite System (GNSS) signals, reflected off the Earth's surface (GNSS Reflectometry), is an innovative remote sensing technique with a broad spectrum of geophysical applications. Currently, recent satellite missions, such as the U.K. TechDemoSat‐1 and U.S. Cyclone Global Navigation Satellite System (CYGNSS), pioneer GNSS Reflectometry as a new space observation technology on a global scale. Despite a wide variety of monitored geophysical parameters, the reflected signals have never been used to obtain rain information. For the first time, this study demonstrates a signature in the received signals, due to the modified ocean surface waves by rain splashes, enabling the technique to detect precipitation over oceans induced by weak winds. A plausible physical explanation for this phenomenon is provided based on the recent scattering theory. This study can serve as a starting point for developing a new GNSS Reflectometry application, rain detection over oceans, which might be also implemented for future low‐cost GNSS remote sensing missions. The presented findings also provide a better physical understanding of L band forward scattering mechanism which is directly relevant to the main objective of the currently operational GNSS Reflectometry satellite missions.
Key Points
First evidence of rain signature in GNSS Reflectometry observations enabling the technique to detect rain over oceans induced by weak winds
A novel physical explanation of L‐band forward scattering by small‐scale ocean surface waves generated by raindrop splashes
Reduction in the value of GNSS‐R Bistatic radar cross section during rain events</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1029/2018GL079708</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>Atmospheric precipitations ; Cyclones ; Data processing ; Detection ; Earth ; Earth surface ; electromagnetic scattering ; Forward scattering ; Geophysics ; Global navigation satellite system ; GNSS Reflectometry ; Gravitational waves ; Gravity ; Gravity waves ; Missions ; Multistatic radar ; Navigation ; Navigation satellites ; Navigation systems ; Ocean surface ; Oceans ; Precipitation ; Radar ; Radar cross sections ; Rain ; rain detection ; rain splash ; Raindrops ; Reflectometry ; Remote sensing ; Roughness ; Satellite observation ; Satellites ; Sensing techniques ; Surface gravity waves ; Surface waves ; TDS‐1 ; Temperature (air-sea) ; Wavelengths ; Wind ; Wind speed ; Winds</subject><ispartof>Geophysical research letters, 2018-11, Vol.45 (22), p.12,585-12,592</ispartof><rights>2018. The Authors.</rights><rights>2018. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3448-34bd2770091ee1d4dee1c9a4a49440b317bcb15af0391284553047b1e21985cc3</citedby><cites>FETCH-LOGICAL-c3448-34bd2770091ee1d4dee1c9a4a49440b317bcb15af0391284553047b1e21985cc3</cites><orcidid>0000-0002-7379-5276 ; 0000-0001-9378-1886</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2018GL079708$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2018GL079708$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,11514,27924,27925,46468,46892</link.rule.ids></links><search><creatorcontrib>Asgarimehr, Milad</creatorcontrib><creatorcontrib>Zavorotny, Valery</creatorcontrib><creatorcontrib>Wickert, Jens</creatorcontrib><creatorcontrib>Reich, Sebastian</creatorcontrib><title>Can GNSS Reflectometry Detect Precipitation Over Oceans?</title><title>Geophysical research letters</title><description>For the first time, a rain signature in Global Navigation Satellite System Reflectometry (GNSS‐R) observations is demonstrated. Based on the argument that the forward quasi‐specular scattering relies upon surface gravity waves with lengths larger than several wavelengths of the reflected signal, a commonly made conclusion is that the scatterometric GNSS‐R measurements are not sensitive to the surface small‐scale roughness generated by raindrops impinging on the ocean surface. On the contrary, this study presents an evidence that the bistatic radar cross section σ0 derived from TechDemoSat‐1 data is reduced due to rain at weak winds, lower than ≈ 6 m/s. The decrease is as large as ≈ 0.7 dB at the wind speed of 3 m/s due to a precipitation of 0–2 mm/hr. The simulations based on the recently published scattering theory provide a plausible explanation for this phenomenon which potentially enables the GNSS‐R technique to detect precipitation over oceans at low winds.
Plain Language Summary
Using Global Navigation Satellite System (GNSS) signals, reflected off the Earth's surface (GNSS Reflectometry), is an innovative remote sensing technique with a broad spectrum of geophysical applications. Currently, recent satellite missions, such as the U.K. TechDemoSat‐1 and U.S. Cyclone Global Navigation Satellite System (CYGNSS), pioneer GNSS Reflectometry as a new space observation technology on a global scale. Despite a wide variety of monitored geophysical parameters, the reflected signals have never been used to obtain rain information. For the first time, this study demonstrates a signature in the received signals, due to the modified ocean surface waves by rain splashes, enabling the technique to detect precipitation over oceans induced by weak winds. A plausible physical explanation for this phenomenon is provided based on the recent scattering theory. This study can serve as a starting point for developing a new GNSS Reflectometry application, rain detection over oceans, which might be also implemented for future low‐cost GNSS remote sensing missions. The presented findings also provide a better physical understanding of L band forward scattering mechanism which is directly relevant to the main objective of the currently operational GNSS Reflectometry satellite missions.
Key Points
First evidence of rain signature in GNSS Reflectometry observations enabling the technique to detect rain over oceans induced by weak winds
A novel physical explanation of L‐band forward scattering by small‐scale ocean surface waves generated by raindrop splashes
Reduction in the value of GNSS‐R Bistatic radar cross section during rain events</description><subject>Atmospheric precipitations</subject><subject>Cyclones</subject><subject>Data processing</subject><subject>Detection</subject><subject>Earth</subject><subject>Earth surface</subject><subject>electromagnetic scattering</subject><subject>Forward scattering</subject><subject>Geophysics</subject><subject>Global navigation satellite system</subject><subject>GNSS Reflectometry</subject><subject>Gravitational waves</subject><subject>Gravity</subject><subject>Gravity waves</subject><subject>Missions</subject><subject>Multistatic radar</subject><subject>Navigation</subject><subject>Navigation satellites</subject><subject>Navigation systems</subject><subject>Ocean surface</subject><subject>Oceans</subject><subject>Precipitation</subject><subject>Radar</subject><subject>Radar cross sections</subject><subject>Rain</subject><subject>rain detection</subject><subject>rain splash</subject><subject>Raindrops</subject><subject>Reflectometry</subject><subject>Remote sensing</subject><subject>Roughness</subject><subject>Satellite observation</subject><subject>Satellites</subject><subject>Sensing techniques</subject><subject>Surface gravity waves</subject><subject>Surface waves</subject><subject>TDS‐1</subject><subject>Temperature (air-sea)</subject><subject>Wavelengths</subject><subject>Wind</subject><subject>Wind speed</subject><subject>Winds</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp9kEFLAzEQhYMoWKs3f8CCV1dnkmyTnESqrsJipdVzyKazsKXdrcmq9N8bqQdPXmbmwTfzhsfYOcIVAjfXHFCXFSijQB-wERopcw2gDtkIwKSZq8kxO4lxBQACBI6YnrouK58Xi2xOzZr80G9oCLvsjoYkspdAvt22gxvavstmnxSymSfXxZtTdtS4daSz3z5mbw_3r9PHvJqVT9PbKvdCSp0LWS-5UskeiXApl6l646ST6TmoBara11i4BoRBrmVRCJCqRuJodOG9GLOL_d1t6N8_KA521X-ELllajsVEpCUtE3W5p3zoYwzU2G1oNy7sLIL9ycb-zSbhfI9_tWva_cvacl4VmkstvgGzX2I7</recordid><startdate>20181128</startdate><enddate>20181128</enddate><creator>Asgarimehr, Milad</creator><creator>Zavorotny, Valery</creator><creator>Wickert, Jens</creator><creator>Reich, Sebastian</creator><general>John Wiley & Sons, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>8FD</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-7379-5276</orcidid><orcidid>https://orcid.org/0000-0001-9378-1886</orcidid></search><sort><creationdate>20181128</creationdate><title>Can GNSS Reflectometry Detect Precipitation Over Oceans?</title><author>Asgarimehr, Milad ; Zavorotny, Valery ; Wickert, Jens ; Reich, Sebastian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3448-34bd2770091ee1d4dee1c9a4a49440b317bcb15af0391284553047b1e21985cc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Atmospheric precipitations</topic><topic>Cyclones</topic><topic>Data processing</topic><topic>Detection</topic><topic>Earth</topic><topic>Earth surface</topic><topic>electromagnetic scattering</topic><topic>Forward scattering</topic><topic>Geophysics</topic><topic>Global navigation satellite system</topic><topic>GNSS Reflectometry</topic><topic>Gravitational waves</topic><topic>Gravity</topic><topic>Gravity waves</topic><topic>Missions</topic><topic>Multistatic radar</topic><topic>Navigation</topic><topic>Navigation satellites</topic><topic>Navigation systems</topic><topic>Ocean surface</topic><topic>Oceans</topic><topic>Precipitation</topic><topic>Radar</topic><topic>Radar cross sections</topic><topic>Rain</topic><topic>rain detection</topic><topic>rain splash</topic><topic>Raindrops</topic><topic>Reflectometry</topic><topic>Remote sensing</topic><topic>Roughness</topic><topic>Satellite observation</topic><topic>Satellites</topic><topic>Sensing techniques</topic><topic>Surface gravity waves</topic><topic>Surface waves</topic><topic>TDS‐1</topic><topic>Temperature (air-sea)</topic><topic>Wavelengths</topic><topic>Wind</topic><topic>Wind speed</topic><topic>Winds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Asgarimehr, Milad</creatorcontrib><creatorcontrib>Zavorotny, Valery</creatorcontrib><creatorcontrib>Wickert, Jens</creatorcontrib><creatorcontrib>Reich, Sebastian</creatorcontrib><collection>Wiley-Blackwell Open Access Titles(OpenAccess)</collection><collection>Wiley Online Library Journals</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Geophysical research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Asgarimehr, Milad</au><au>Zavorotny, Valery</au><au>Wickert, Jens</au><au>Reich, Sebastian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Can GNSS Reflectometry Detect Precipitation Over Oceans?</atitle><jtitle>Geophysical research letters</jtitle><date>2018-11-28</date><risdate>2018</risdate><volume>45</volume><issue>22</issue><spage>12,585</spage><epage>12,592</epage><pages>12,585-12,592</pages><issn>0094-8276</issn><eissn>1944-8007</eissn><abstract>For the first time, a rain signature in Global Navigation Satellite System Reflectometry (GNSS‐R) observations is demonstrated. Based on the argument that the forward quasi‐specular scattering relies upon surface gravity waves with lengths larger than several wavelengths of the reflected signal, a commonly made conclusion is that the scatterometric GNSS‐R measurements are not sensitive to the surface small‐scale roughness generated by raindrops impinging on the ocean surface. On the contrary, this study presents an evidence that the bistatic radar cross section σ0 derived from TechDemoSat‐1 data is reduced due to rain at weak winds, lower than ≈ 6 m/s. The decrease is as large as ≈ 0.7 dB at the wind speed of 3 m/s due to a precipitation of 0–2 mm/hr. The simulations based on the recently published scattering theory provide a plausible explanation for this phenomenon which potentially enables the GNSS‐R technique to detect precipitation over oceans at low winds.
Plain Language Summary
Using Global Navigation Satellite System (GNSS) signals, reflected off the Earth's surface (GNSS Reflectometry), is an innovative remote sensing technique with a broad spectrum of geophysical applications. Currently, recent satellite missions, such as the U.K. TechDemoSat‐1 and U.S. Cyclone Global Navigation Satellite System (CYGNSS), pioneer GNSS Reflectometry as a new space observation technology on a global scale. Despite a wide variety of monitored geophysical parameters, the reflected signals have never been used to obtain rain information. For the first time, this study demonstrates a signature in the received signals, due to the modified ocean surface waves by rain splashes, enabling the technique to detect precipitation over oceans induced by weak winds. A plausible physical explanation for this phenomenon is provided based on the recent scattering theory. This study can serve as a starting point for developing a new GNSS Reflectometry application, rain detection over oceans, which might be also implemented for future low‐cost GNSS remote sensing missions. The presented findings also provide a better physical understanding of L band forward scattering mechanism which is directly relevant to the main objective of the currently operational GNSS Reflectometry satellite missions.
Key Points
First evidence of rain signature in GNSS Reflectometry observations enabling the technique to detect rain over oceans induced by weak winds
A novel physical explanation of L‐band forward scattering by small‐scale ocean surface waves generated by raindrop splashes
Reduction in the value of GNSS‐R Bistatic radar cross section during rain events</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2018GL079708</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-7379-5276</orcidid><orcidid>https://orcid.org/0000-0001-9378-1886</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Atmospheric precipitations Cyclones Data processing Detection Earth Earth surface electromagnetic scattering Forward scattering Geophysics Global navigation satellite system GNSS Reflectometry Gravitational waves Gravity Gravity waves Missions Multistatic radar Navigation Navigation satellites Navigation systems Ocean surface Oceans Precipitation Radar Radar cross sections Rain rain detection rain splash Raindrops Reflectometry Remote sensing Roughness Satellite observation Satellites Sensing techniques Surface gravity waves Surface waves TDS‐1 Temperature (air-sea) Wavelengths Wind Wind speed Winds |
title | Can GNSS Reflectometry Detect Precipitation Over Oceans? |
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