Monitoring Atmospheric Moisture Using GPS Precipitable Water Vapor

被引:0
|
作者
Uang-aree, Prawit [1 ]
Kingpaiboon, Sununtha [2 ,3 ]
机构
[1] Sakon Nakhon Rajabhat Univ, Fac Sci & Technol, Sakon Nakhon 47000, Thailand
[2] Khon Kaen Univ, Fac Engn, Dept Agr Engn, Khon Kaen 40002, Thailand
[3] Khon Kaen Univ, Agr Machinery & Postharvest Technol Ctr, Khon Kaen 40002, Thailand
关键词
PWV; meteorology; climate change; METEOROLOGY; NETWORK;
D O I
10.3233/978-1-61499-720-7-123
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article is aimed at indicating correlation between climatic changes and atmospheric moisture and precipitation using GPS precipitable water vapor values (PWV) and meteorological data in Khon Kaen, Thailand. PWV, average temperature, and precipitation data from 2001 to 2014 were analyzed to determine the changes over the time period. The estimation showed the average, maximum and minimum values of PWV in Khon Kaen at 48.42, 69.88, and 11.23 mm, respectively, with the standard deviation of 13.42 mm. Additionally, there was an increasing trend of PWV changes following temperature changes which could be due to the warm atmospheric properties that can hold vapor better than dry atmosphere. Again, at high temperatures, water in the environment vaporizes more easily than at low temperatures. However, precipitation tends to decrease which could be due to topographical condition of Khon Kaen which is on a high plain surrounded by mountains. As a result, monsoon wind is not able to bring moisture into the area. Therefore, the slightly increasing moisture cannot be a major cause of precipitation similar to a storm.
引用
收藏
页码:123 / 134
页数:12
相关论文
共 50 条
  • [41] Retrieving Precipitable Water Vapor Data Using GPS Zenith Delays and Global Reanalysis Data in China
    Jiang, Peng
    Ye, Shirong
    Chen, Dezhong
    Liu, Yanyan
    Xia, Pengfei
    REMOTE SENSING, 2016, 8 (05)
  • [42] Predicting precipitable water vapor by using ANN from GPS ZTD data at Antarctic Zhongshan Station
    Yue, Yingchun
    Ye, Tao
    JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS, 2019, 191
  • [43] The impact of ultra-rapid orbits on precipitable water vapor estimation using a ground GPS network
    Dousa, J
    PHYSICS AND CHEMISTRY OF THE EARTH PART A-SOLID EARTH AND GEODESY, 2001, 26 (6-8): : 393 - 398
  • [44] 4D modeling of precipitable water vapor to assess flood forecasting by using GPS signals
    Omid Memarian Sorkhabi
    Yahya Djamour
    Natural Hazards, 2024, 120 : 181 - 195
  • [45] Comparison of precipitable water vapor derived from GPS and radiosonde data for Indonesia
    Sato, Kazutoshi
    Tsuda, Toshitaka
    Susilo
    Manik, Timbul
    Journal of Disaster Research, 2013, 8 (01) : 141 - 142
  • [46] Precision Validation of GPS Precipitable Water Vapor via Comparison with MWR Measurements
    Ha, Jihyun
    Park, Kwan-Dong
    Chang, Ki-Ho
    Yang, Ha-Young
    ATMOSPHERE-KOREA, 2007, 17 (03): : 291 - 298
  • [47] 4D modeling of precipitable water vapor to assess flood forecasting by using GPS signals
    Sorkhabi, Omid Memarian
    Djamour, Yahya
    NATURAL HAZARDS, 2024, 120 (01) : 181 - 195
  • [48] PROCESSING STRATEGY FOR NEAR REAL TIME GPS PRECIPITABLE WATER VAPOR RETRIEVAL
    Baek, Jeongho
    Lee, Jae-Won
    Choi, Byung-Kyu
    Cho, Jungho
    JOURNAL OF ASTRONOMY AND SPACE SCIENCES, 2007, 24 (04) : 275 - 284
  • [49] Comparison of GPS precipitable water vapor and meteorological parameters during rainfalls in Tehran
    Mohammad Ali Sharifi
    Ali Sam Khaniani
    Mohammad Joghataei
    Meteorology and Atmospheric Physics, 2015, 127 : 701 - 710
  • [50] Detection on the Precipitable Water Vapor during Summer Rainfall by Nanjing GPS Network
    Wei Haohan
    Zheng Jiazhu
    Shi Xiaoyun
    INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND PATTERN RECOGNITION IN INDUSTRIAL ENGINEERING, 2010, 7820