Journal article 334 views
Cinrad data quality control and precipitation estimation
Proceedings of the ICE - Water Management, Volume: 162, Issue: 2, Pages: 95 - 105
Swansea University Author: Ian Cluckie
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DOI (Published version): 10.1680/wama.2009.162.2.95
Abstract
Cinrad is the acronym describing China's next-generation weather radar that inherits the technology of the US national weather system Nexrad (WSR-88D) through a joint agreement between the two countries. More than 100 Cinrad systems have currently been deployed in China, but challenges exist fo...
| Published in: | Proceedings of the ICE - Water Management |
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| ISSN: | 1741-7589 1751-7729 |
| Published: |
2009
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa10542 |
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2013-07-23T12:03:47Z |
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2018-02-09T04:39:24Z |
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cronfa10542 |
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SURis |
| fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2011-10-01T00:00:00.0000000</datestamp><bib-version>v2</bib-version><id>10542</id><entry>2012-04-06</entry><title>Cinrad data quality control and precipitation estimation</title><swanseaauthors><author><sid>d801af52a3cfb625308bd4301583064e</sid><firstname>Ian</firstname><surname>Cluckie</surname><name>Ian Cluckie</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2012-04-06</date><abstract>Cinrad is the acronym describing China's next-generation weather radar that inherits the technology of the US national weather system Nexrad (WSR-88D) through a joint agreement between the two countries. More than 100 Cinrad systems have currently been deployed in China, but challenges exist for their wider application. The data quality assessment and the development of quantitative precipitation estimation for flood risk management will pose a significant challenge as the national system is both commissioned and further developed. This paper is based on an assessment of the data quality of a Cinrad system deployed in southern China and describes aspects of the initial data quality-control procedure. Precipitation was estimated for the Liuxihe River basin using 11 observed storms. The data quality-control procedure presented in this paper has four components, including volume-scan data, missing-data interpolation, abnormal-reflectivity detection and correction and fine-day reflectivity removal. The results indicate that the radar-estimated precipitation is consistent with that measured by conventional rain-gauge networks; also radar estimated precipitation can provide a better representation of the spatial distribution of the precipitation over the whole basin, and thereby has the potential to improve flood forecasting and warning systems. Given the importance of flooding to China, the continued quantitative development of the radar system is of national importance, particularly in terms of the tropical-cyclone-induced flooding prevalent in south China.</abstract><type>Journal Article</type><journal>Proceedings of the ICE - Water Management</journal><volume>162</volume><journalNumber>2</journalNumber><paginationStart>95</paginationStart><paginationEnd>105</paginationEnd><publisher/><placeOfPublication/><issnPrint>1741-7589</issnPrint><issnElectronic>1751-7729</issnElectronic><keywords/><publishedDay>30</publishedDay><publishedMonth>4</publishedMonth><publishedYear>2009</publishedYear><publishedDate>2009-04-30</publishedDate><doi>10.1680/wama.2009.162.2.95</doi><url/><notes/><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm/><lastEdited>2011-10-01T00:00:00.0000000</lastEdited><Created>2012-04-06T19:57:07.7448812</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Uncategorised</level></path><authors><author><firstname>Y</firstname><surname>Chen</surname><order>1</order></author><author><firstname>I</firstname><surname>Cluckie</surname><order>2</order></author><author><firstname>J</firstname><surname>Han</surname><order>3</order></author><author><firstname>Q</firstname><surname>Zou</surname><order>4</order></author><author><firstname>Ian</firstname><surname>Cluckie</surname><order>5</order></author></authors><documents/><OutputDurs/></rfc1807> |
| spelling |
2011-10-01T00:00:00.0000000 v2 10542 2012-04-06 Cinrad data quality control and precipitation estimation d801af52a3cfb625308bd4301583064e Ian Cluckie Ian Cluckie true false 2012-04-06 Cinrad is the acronym describing China's next-generation weather radar that inherits the technology of the US national weather system Nexrad (WSR-88D) through a joint agreement between the two countries. More than 100 Cinrad systems have currently been deployed in China, but challenges exist for their wider application. The data quality assessment and the development of quantitative precipitation estimation for flood risk management will pose a significant challenge as the national system is both commissioned and further developed. This paper is based on an assessment of the data quality of a Cinrad system deployed in southern China and describes aspects of the initial data quality-control procedure. Precipitation was estimated for the Liuxihe River basin using 11 observed storms. The data quality-control procedure presented in this paper has four components, including volume-scan data, missing-data interpolation, abnormal-reflectivity detection and correction and fine-day reflectivity removal. The results indicate that the radar-estimated precipitation is consistent with that measured by conventional rain-gauge networks; also radar estimated precipitation can provide a better representation of the spatial distribution of the precipitation over the whole basin, and thereby has the potential to improve flood forecasting and warning systems. Given the importance of flooding to China, the continued quantitative development of the radar system is of national importance, particularly in terms of the tropical-cyclone-induced flooding prevalent in south China. Journal Article Proceedings of the ICE - Water Management 162 2 95 105 1741-7589 1751-7729 30 4 2009 2009-04-30 10.1680/wama.2009.162.2.95 COLLEGE NANME COLLEGE CODE Swansea University 2011-10-01T00:00:00.0000000 2012-04-06T19:57:07.7448812 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Y Chen 1 I Cluckie 2 J Han 3 Q Zou 4 Ian Cluckie 5 |
| title |
Cinrad data quality control and precipitation estimation |
| spellingShingle |
Cinrad data quality control and precipitation estimation Ian Cluckie |
| title_short |
Cinrad data quality control and precipitation estimation |
| title_full |
Cinrad data quality control and precipitation estimation |
| title_fullStr |
Cinrad data quality control and precipitation estimation |
| title_full_unstemmed |
Cinrad data quality control and precipitation estimation |
| title_sort |
Cinrad data quality control and precipitation estimation |
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d801af52a3cfb625308bd4301583064e |
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d801af52a3cfb625308bd4301583064e_***_Ian Cluckie |
| author |
Ian Cluckie |
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Y Chen I Cluckie J Han Q Zou Ian Cluckie |
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Journal article |
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Proceedings of the ICE - Water Management |
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162 |
| container_issue |
2 |
| container_start_page |
95 |
| publishDate |
2009 |
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Swansea University |
| issn |
1741-7589 1751-7729 |
| doi_str_mv |
10.1680/wama.2009.162.2.95 |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised |
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| description |
Cinrad is the acronym describing China's next-generation weather radar that inherits the technology of the US national weather system Nexrad (WSR-88D) through a joint agreement between the two countries. More than 100 Cinrad systems have currently been deployed in China, but challenges exist for their wider application. The data quality assessment and the development of quantitative precipitation estimation for flood risk management will pose a significant challenge as the national system is both commissioned and further developed. This paper is based on an assessment of the data quality of a Cinrad system deployed in southern China and describes aspects of the initial data quality-control procedure. Precipitation was estimated for the Liuxihe River basin using 11 observed storms. The data quality-control procedure presented in this paper has four components, including volume-scan data, missing-data interpolation, abnormal-reflectivity detection and correction and fine-day reflectivity removal. The results indicate that the radar-estimated precipitation is consistent with that measured by conventional rain-gauge networks; also radar estimated precipitation can provide a better representation of the spatial distribution of the precipitation over the whole basin, and thereby has the potential to improve flood forecasting and warning systems. Given the importance of flooding to China, the continued quantitative development of the radar system is of national importance, particularly in terms of the tropical-cyclone-induced flooding prevalent in south China. |
| published_date |
2009-04-30T04:36:39Z |
| _version_ |
1857617604832657408 |
| score |
11.096913 |

