• DocumentCode
    3023926
  • Title

    Precipitation analysis by X-band MP radar data using Google Earth

  • Author

    Nishio, Masatoshi ; Mori, Marco

  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    570
  • Lastpage
    573
  • Abstract
    Flood damage due to heavy rain is quite severe in Japan during the annual typhoon season, which causes death and serious destruction every year. The Ministry of Land, Infrastructure, Transport and Tourism (MLIT) of Japan started the operation of the X-band Multi-Parameter (MP) radar system in February, 2012, at 23 observation stations in Japan. Several services using the X-band MP radar data have already been provided in web-based weather maps by some agencies. However, almost all these web-based weather maps only show rainfall images of precipitation per minute given by the X-band MP radar data, the back images of which are only blank maps with prefecture border lines. The MLIT website itself also shows a similar such weather map. So, such a high spatial resolution is not effective with these weather maps. Accordingly, the present study used the X-band MP radar data to develop an accumulated rainfall monitoring system on a website, which uses Google Earth pro v.6.0 and ArcGIS 10.0 (ESRI). The accumulated rainfall data contains one hour, three hour, and six hour precipitations, and is quite crucial for disaster prediction. The present accumulated rainfall monitoring system is designed to meet the needs of agencies in both the public and private sectors, with local governments playing an especially important role in predicting and monitoring flood or landslide occurrences in their jurisdiction.
  • Keywords
    Internet; disasters; floods; geographic information systems; geomorphology; geophysics computing; hydrological techniques; local government; meteorological radar; rain; ArcGIS 10.0; ESRI; Google Earth pro v.6.0; Japan MLIT; MLIT Website; Ministry of Land Infrastructure Transport and Tourism; Web-based weather map; X-band MP radar data; X-band Multiparameter radar system; accumulated rainfall data; accumulated rainfall monitoring system; disaster prediction; flood damage; flood monitoring; flood prediction; heavy rain; landslide occurrence; local government; precipitation analysis; prefecture border lines; rainfall image; spatial resolution; typhoon season; Earth; Floods; Google; Radar imaging; Rain; Spaceborne radar; 3D GIS; Precipitation rate; X-band radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6721220
  • Filename
    6721220