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Study of Alternative GPS Network Meteorological Sensors in Taiwan: Case Studies of the Plum Rains and Typhoon Sinlaku

Department of Geomatics, National Cheng-Kung University / No.1, Ta-Hsueh Road, Tainan 701, Taiwan
Department of Real Estate and Built Environment, National Taipei University / No. 67, Section 3, Ming-Sheng East Road, Taipei 104, Taiwan
Author to whom correspondence should be addressed.
Sensors 2009, 9(6), 5001-5021;
Received: 11 June 2009 / Revised: 18 June 2009 / Accepted: 19 June 2009 / Published: 24 June 2009
(This article belongs to the Special Issue Sensor Algorithms)
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Plum rains and typhoons are important weather systems in the Taiwan region. They can cause huge economic losses, but they are also considered as important water resources as they strike Taiwan annually and fill the reservoirs around the island. There are many meteorological sensors available for investigating the characteristics of weather and climate systems. Recently, the use of GPS as an alternative meteorological sensor has become popular due to the catastrophic impact of global climate change. GPS provides meteorological parameters mainly from the atmosphere. Precise Point Positioning (PPP) is a proven algorithm that has attracted attention in GPS related studies. This study uses GPS measurements collected at more than fifty reference stations of the e-GPS network in Taiwan. The first data set was collected from June 1st 2008 to June 7th 2008, which corresponds to the middle of the plum rain season in Taiwan. The second data set was collected from September 11th to September 17th 2008 during the landfall of typhoon Sinlaku. The data processing strategy is to process the measurements collected at the reference stations of the e-GPS network using the PPP technique to estimate the zenith tropospheric delay (ZTD) values of the sites; thus, the correlations between the ZTD values and the variation of rainfall during the plum rains and typhoon are analyzed. In addition, several characteristics of the meteorological events are identified using spatial and temporal analyses of the ZTD values estimated with the GPS network PPP technique. View Full-Text
Keywords: precise point positioning (PPP); zenith tropospheric delay (ZTD); meteorological sensor precise point positioning (PPP); zenith tropospheric delay (ZTD); meteorological sensor
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Chiang, K.-W.; Peng, W.-C.; Yeh, Y.-H.; Chen, K.-H. Study of Alternative GPS Network Meteorological Sensors in Taiwan: Case Studies of the Plum Rains and Typhoon Sinlaku. Sensors 2009, 9, 5001-5021.

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