A Scheme for Rain Gauge Network Design Based on Remotely Sensed Rainfall Measurements
A Scheme for Rain Gauge Network Design Based on Remotely Sensed Rainfall Measurements
复制标题
基于遥感雨量测量的雨量计网络设计方案
DOI:
10.1175/jhm-d-16-0136.1
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发表时间:
2017-01
影响因子:
3.8
通讯作者:
Han Dawei
中科院分区:
文献类型:
--
作者:
Dai Qiang;Bray Michaela;Zhuo Lu;Islam Tanvir;Han Dawei
We have been facing a remarkable decline in the number of raingauges in many areas of the world, as a compromise to the expensive cost of operating and maintaining raingauges. The question of how to effectively deploy new or remove current raingauges in order to create optimal rainfall information is becoming more and more important. On the other hand, larger-scaled remotely-sensed rainfall measurements, although poorer quality compared with traditional raingauge rainfall measurements, provide an insight into the local storm characteristics, which traditional methods for designing a raingauge network sort to seek. Based on these facts, this study proposes a new methodology for raingauge network design using remotely-sensed rainfall data set, which aims to explore how many gauges are essential and where they should be placed. Principal component analysis (PCA) is used to analyse the redundancy of the radar grids network and determine the number of raingauges while the potential locations are determined by cluster analysis (CA) selection. The proposed methodology has been performed on 373 different storm events measured by a weather radar grids network, and compared against an existing dense raingauge network in Southwest England. Due to the simple structure, the proposed scheme could be easily implemented in other study areas. This study provides a new insight into raingauge network design, which is also a preliminary attempt of using remotely-sensed data to solve the traditional raingauge problems.
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DOI:
10.1201/b10345-5
发表时间:
2010-11
期刊:
Encyclopedia of Autism Spectrum Disorders
影响因子:
--
作者:
Kim-Anh Lê Cao;Z. Welham
通讯作者:
Kim-Anh Lê Cao;Z. Welham
影响因子:
8
作者:
T. Matsui;T. Iguchi;Xiaowen Li;Mei Han;W. Tao;W. Petersen;T. L’Ecuyer;R. Meneghini;W. Olson;C. Kummerow;A. Hou;M. Schwaller;E. Stocker;J. Kwiatkowski
通讯作者:
T. Matsui;T. Iguchi;Xiaowen Li;Mei Han;W. Tao;W. Petersen;T. L’Ecuyer;R. Meneghini;W. Olson;C. Kummerow;A. Hou;M. Schwaller;E. Stocker;J. Kwiatkowski
影响因子:
4.6
作者:
G. Villarini;W. Krajewski
通讯作者:
G. Villarini;W. Krajewski
影响因子:
3.8
作者:
G. Ciach;W. Krajewski;G. Villarini
通讯作者:
G. Ciach;W. Krajewski;G. Villarini
影响因子:
8.9
作者:
U. Germann;M. Berenguer;D. Sempere‐Torres;M. Zappa
通讯作者:
U. Germann;M. Berenguer;D. Sempere‐Torres;M. Zappa