Monitoring the Absolute Calibration of a Polarimetric Weather Radar

The absolute calibration of a dual-polarization radar of the German Weather Service is continuously monitored using the operational birdbath scan and collocated disdrometer measurements at the Hohenpeissenberg observatory. The goal is to measure the radar reflectivity constant Z better than ±1 dB. T...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of atmospheric and oceanic technology 2017-03, Vol.34 (3), p.599-615
Hauptverfasser: Frech, Michael, Hagen, Martin, Mammen, Theo
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 615
container_issue 3
container_start_page 599
container_title Journal of atmospheric and oceanic technology
container_volume 34
creator Frech, Michael
Hagen, Martin
Mammen, Theo
description The absolute calibration of a dual-polarization radar of the German Weather Service is continuously monitored using the operational birdbath scan and collocated disdrometer measurements at the Hohenpeissenberg observatory. The goal is to measure the radar reflectivity constant Z better than ±1 dB. The assumption is that a disdrometer measurement close to the surface can be related to the radar measurement at the first far-field range bin. This is verified using a Micro Rain Radar (MRR). The MRR data fill the gap between the measurement near the surface and the far-field range bin at 650 m. Using data from the first half of the warm season in 2014, a bias in radar calibration of 1.8 dB is found. Data from only stratiform precipitation events are considered. After adjusting the radar calibration and using an independent data sample, very good agreement is found between the radar, the MRR, and the disdrometer with a bias in smaller than 1 dB. The bias in is not captured with the classic one-point calibration, which is performed twice a day using a built-in test signal generator. This is attributed to the fact that the characterization of the transmit and receive path is not accurate enough. Solar interferences during the operational scanning are used to characterize the receiver. There, the bias found is small, about 0.2 dB, so that bias based on the comparison of the radar with external sensors is attributed to the transmit path. The representativeness of the disdrometer measurements are assessed using two additional disdrometers located within 200-m distance.
doi_str_mv 10.1175/JTECH-D-16-0076.1
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1924701073</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1924701073</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-626a5d02b6183dc8ac0c0b30baa25d19979d74e5be1e23a9345eb5f10dbe7f563</originalsourceid><addsrcrecordid>eNotkMtOwzAQRS0EEqXwAewssXaZsWO7WVZpeakIhIpYWnbiQKoQFztd8Pe4wGo2R3PvPYRcIswQtbx-2KyqO7ZkqBiAVjM8IhOUHBgUXB2TCWhRMpCan5KzlLYAgALVhFSPYejGELvhnY4fni5cCv1-9LSyfeeiHbsw0NBSS59Db2P36cfY1fTN20xH-mIbG8_JSWv75C_-75S83qw2uc766fa-WqxZnaNGpriysgHuFM5FU89tDTU4Ac5aLhssS102uvDSefRc2FIU0jvZIjTO61YqMSVXf393MXztfRrNNuzjkCMNlrzQgHllpvCPqmNIKfrW7HJtG78Ngjm4Mr-uzNKgMgdXBsUPkkJcXg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1924701073</pqid></control><display><type>article</type><title>Monitoring the Absolute Calibration of a Polarimetric Weather Radar</title><source>American Meteorological Society</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Frech, Michael ; Hagen, Martin ; Mammen, Theo</creator><creatorcontrib>Frech, Michael ; Hagen, Martin ; Mammen, Theo</creatorcontrib><description>The absolute calibration of a dual-polarization radar of the German Weather Service is continuously monitored using the operational birdbath scan and collocated disdrometer measurements at the Hohenpeissenberg observatory. The goal is to measure the radar reflectivity constant Z better than ±1 dB. The assumption is that a disdrometer measurement close to the surface can be related to the radar measurement at the first far-field range bin. This is verified using a Micro Rain Radar (MRR). The MRR data fill the gap between the measurement near the surface and the far-field range bin at 650 m. Using data from the first half of the warm season in 2014, a bias in radar calibration of 1.8 dB is found. Data from only stratiform precipitation events are considered. After adjusting the radar calibration and using an independent data sample, very good agreement is found between the radar, the MRR, and the disdrometer with a bias in smaller than 1 dB. The bias in is not captured with the classic one-point calibration, which is performed twice a day using a built-in test signal generator. This is attributed to the fact that the characterization of the transmit and receive path is not accurate enough. Solar interferences during the operational scanning are used to characterize the receiver. There, the bias found is small, about 0.2 dB, so that bias based on the comparison of the radar with external sensors is attributed to the transmit path. The representativeness of the disdrometer measurements are assessed using two additional disdrometers located within 200-m distance.</description><identifier>ISSN: 0739-0572</identifier><identifier>EISSN: 1520-0426</identifier><identifier>DOI: 10.1175/JTECH-D-16-0076.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Accuracy ; Algorithms ; Atmospheric precipitations ; Bias ; Calibration ; Climatology ; Disdrometers ; Dual polarization radar ; Measurement ; Polarization ; Precipitation ; Radar ; Radar calibration ; Radar measurement ; Radar polarimetry ; Radar reflectivity ; Radar systems ; Rain ; Rainfall measurement ; Reflectance ; Remote sensing ; Scanning ; Sensors ; Warm seasons ; Weather ; Weather radar</subject><ispartof>Journal of atmospheric and oceanic technology, 2017-03, Vol.34 (3), p.599-615</ispartof><rights>Copyright American Meteorological Society Mar 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-626a5d02b6183dc8ac0c0b30baa25d19979d74e5be1e23a9345eb5f10dbe7f563</citedby><cites>FETCH-LOGICAL-c316t-626a5d02b6183dc8ac0c0b30baa25d19979d74e5be1e23a9345eb5f10dbe7f563</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3679,27922,27923</link.rule.ids></links><search><creatorcontrib>Frech, Michael</creatorcontrib><creatorcontrib>Hagen, Martin</creatorcontrib><creatorcontrib>Mammen, Theo</creatorcontrib><title>Monitoring the Absolute Calibration of a Polarimetric Weather Radar</title><title>Journal of atmospheric and oceanic technology</title><description>The absolute calibration of a dual-polarization radar of the German Weather Service is continuously monitored using the operational birdbath scan and collocated disdrometer measurements at the Hohenpeissenberg observatory. The goal is to measure the radar reflectivity constant Z better than ±1 dB. The assumption is that a disdrometer measurement close to the surface can be related to the radar measurement at the first far-field range bin. This is verified using a Micro Rain Radar (MRR). The MRR data fill the gap between the measurement near the surface and the far-field range bin at 650 m. Using data from the first half of the warm season in 2014, a bias in radar calibration of 1.8 dB is found. Data from only stratiform precipitation events are considered. After adjusting the radar calibration and using an independent data sample, very good agreement is found between the radar, the MRR, and the disdrometer with a bias in smaller than 1 dB. The bias in is not captured with the classic one-point calibration, which is performed twice a day using a built-in test signal generator. This is attributed to the fact that the characterization of the transmit and receive path is not accurate enough. Solar interferences during the operational scanning are used to characterize the receiver. There, the bias found is small, about 0.2 dB, so that bias based on the comparison of the radar with external sensors is attributed to the transmit path. The representativeness of the disdrometer measurements are assessed using two additional disdrometers located within 200-m distance.</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>Atmospheric precipitations</subject><subject>Bias</subject><subject>Calibration</subject><subject>Climatology</subject><subject>Disdrometers</subject><subject>Dual polarization radar</subject><subject>Measurement</subject><subject>Polarization</subject><subject>Precipitation</subject><subject>Radar</subject><subject>Radar calibration</subject><subject>Radar measurement</subject><subject>Radar polarimetry</subject><subject>Radar reflectivity</subject><subject>Radar systems</subject><subject>Rain</subject><subject>Rainfall measurement</subject><subject>Reflectance</subject><subject>Remote sensing</subject><subject>Scanning</subject><subject>Sensors</subject><subject>Warm seasons</subject><subject>Weather</subject><subject>Weather radar</subject><issn>0739-0572</issn><issn>1520-0426</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNotkMtOwzAQRS0EEqXwAewssXaZsWO7WVZpeakIhIpYWnbiQKoQFztd8Pe4wGo2R3PvPYRcIswQtbx-2KyqO7ZkqBiAVjM8IhOUHBgUXB2TCWhRMpCan5KzlLYAgALVhFSPYejGELvhnY4fni5cCv1-9LSyfeeiHbsw0NBSS59Db2P36cfY1fTN20xH-mIbG8_JSWv75C_-75S83qw2uc766fa-WqxZnaNGpriysgHuFM5FU89tDTU4Ac5aLhssS102uvDSefRc2FIU0jvZIjTO61YqMSVXf393MXztfRrNNuzjkCMNlrzQgHllpvCPqmNIKfrW7HJtG78Ngjm4Mr-uzNKgMgdXBsUPkkJcXg</recordid><startdate>20170301</startdate><enddate>20170301</enddate><creator>Frech, Michael</creator><creator>Hagen, Martin</creator><creator>Mammen, Theo</creator><general>American Meteorological Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8AF</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</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>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>M1Q</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>20170301</creationdate><title>Monitoring the Absolute Calibration of a Polarimetric Weather Radar</title><author>Frech, Michael ; Hagen, Martin ; Mammen, Theo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-626a5d02b6183dc8ac0c0b30baa25d19979d74e5be1e23a9345eb5f10dbe7f563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Accuracy</topic><topic>Algorithms</topic><topic>Atmospheric precipitations</topic><topic>Bias</topic><topic>Calibration</topic><topic>Climatology</topic><topic>Disdrometers</topic><topic>Dual polarization radar</topic><topic>Measurement</topic><topic>Polarization</topic><topic>Precipitation</topic><topic>Radar</topic><topic>Radar calibration</topic><topic>Radar measurement</topic><topic>Radar polarimetry</topic><topic>Radar reflectivity</topic><topic>Radar systems</topic><topic>Rain</topic><topic>Rainfall measurement</topic><topic>Reflectance</topic><topic>Remote sensing</topic><topic>Scanning</topic><topic>Sensors</topic><topic>Warm seasons</topic><topic>Weather</topic><topic>Weather radar</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Frech, Michael</creatorcontrib><creatorcontrib>Hagen, Martin</creatorcontrib><creatorcontrib>Mammen, Theo</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aerospace Database</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Military Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>Journal of atmospheric and oceanic technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Frech, Michael</au><au>Hagen, Martin</au><au>Mammen, Theo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Monitoring the Absolute Calibration of a Polarimetric Weather Radar</atitle><jtitle>Journal of atmospheric and oceanic technology</jtitle><date>2017-03-01</date><risdate>2017</risdate><volume>34</volume><issue>3</issue><spage>599</spage><epage>615</epage><pages>599-615</pages><issn>0739-0572</issn><eissn>1520-0426</eissn><abstract>The absolute calibration of a dual-polarization radar of the German Weather Service is continuously monitored using the operational birdbath scan and collocated disdrometer measurements at the Hohenpeissenberg observatory. The goal is to measure the radar reflectivity constant Z better than ±1 dB. The assumption is that a disdrometer measurement close to the surface can be related to the radar measurement at the first far-field range bin. This is verified using a Micro Rain Radar (MRR). The MRR data fill the gap between the measurement near the surface and the far-field range bin at 650 m. Using data from the first half of the warm season in 2014, a bias in radar calibration of 1.8 dB is found. Data from only stratiform precipitation events are considered. After adjusting the radar calibration and using an independent data sample, very good agreement is found between the radar, the MRR, and the disdrometer with a bias in smaller than 1 dB. The bias in is not captured with the classic one-point calibration, which is performed twice a day using a built-in test signal generator. This is attributed to the fact that the characterization of the transmit and receive path is not accurate enough. Solar interferences during the operational scanning are used to characterize the receiver. There, the bias found is small, about 0.2 dB, so that bias based on the comparison of the radar with external sensors is attributed to the transmit path. The representativeness of the disdrometer measurements are assessed using two additional disdrometers located within 200-m distance.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/JTECH-D-16-0076.1</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0739-0572
ispartof Journal of atmospheric and oceanic technology, 2017-03, Vol.34 (3), p.599-615
issn 0739-0572
1520-0426
language eng
recordid cdi_proquest_journals_1924701073
source American Meteorological Society; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
subjects Accuracy
Algorithms
Atmospheric precipitations
Bias
Calibration
Climatology
Disdrometers
Dual polarization radar
Measurement
Polarization
Precipitation
Radar
Radar calibration
Radar measurement
Radar polarimetry
Radar reflectivity
Radar systems
Rain
Rainfall measurement
Reflectance
Remote sensing
Scanning
Sensors
Warm seasons
Weather
Weather radar
title Monitoring the Absolute Calibration of a Polarimetric Weather Radar
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T02%3A57%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Monitoring%20the%20Absolute%20Calibration%20of%20a%20Polarimetric%20Weather%20Radar&rft.jtitle=Journal%20of%20atmospheric%20and%20oceanic%20technology&rft.au=Frech,%20Michael&rft.date=2017-03-01&rft.volume=34&rft.issue=3&rft.spage=599&rft.epage=615&rft.pages=599-615&rft.issn=0739-0572&rft.eissn=1520-0426&rft_id=info:doi/10.1175/JTECH-D-16-0076.1&rft_dat=%3Cproquest_cross%3E1924701073%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1924701073&rft_id=info:pmid/&rfr_iscdi=true