首页> 外文会议>International Geoscience and Remote Sensing Symposium >Satellite Precipitation Estimates (SPEs) and Their Validation Using Ground-Based Measurments: A Case Study in Uttarakhand State, India
【24h】

Satellite Precipitation Estimates (SPEs) and Their Validation Using Ground-Based Measurments: A Case Study in Uttarakhand State, India

机译:卫星降水估计(SPE)及其使用地面测量的验证:印度北方南邦州的案例研究

获取原文

摘要

Hilly regions are characterized by high spatio-temporal variations in climatic characteristic such as rainfall due to variations in the topography. Uttarakhand State is very susceptible to flooding and cloudburst occasions like one happened at Kedarnath area in June 2013. Estimation of rainfall over a hilly region is a challenging task due to scarcity of rain gauge network. Due to the existing gaps and uncertainty in the rainfall data, these regions are susceptible to disasters such as cloudburst and flash floods. Proper understanding of the precipitation patterns of these regions is required so that disaster mitigation plans can be made and implemented accordingly. Remotely sensed and improved, high-resolution rainfall data derived from Tropical Rainfall Measuring Mission (TRMM) satellite can be used as an alternative to the rain gauge observed rainfall data. However, a proper validation of the satellite-derived products is necessary before using it for various applications. This study aims to compare monthly and monsoon seasons precipitation derived product from Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) with the observed rain gauge analysis from January 1998 to December 2012. Statistical investigation was done for computing relationship of the TMPA product with the rain gauge station data. Statistical indices showing good agreements with the rain gauge data on monthly as well as monsoon seasons time scales. It was observed that the TRMM 3B43 rainfall estimates were much closer to the rain gauge data, with minimal biases. It is suggested to develop satellite precipitation retrieval algorithms by combining the topographical and local climatic factors into consideration.
机译:丘陵地区的特征在于由于地形变化而降雨的气候特性高的时空变化。乌塔塔克手州非常容易受到洪水和云爆发的影响,如2013年6月在Kedarnath地区发生的。丘陵地区的降雨估计是由于雨量网络稀缺而有挑战性的任务。由于降雨数据的现有差距和不确定性,这些地区易于灾害,例如云爆发和闪光洪水。需要正确理解这些区域的降水模式,以便可以相应地制定和实施灾害缓解计划。远程感知和改进,从热带降雨测量任务(TRMM)卫星的高分辨率降雨数据可以用作雨量计观察降雨数据的替代品。然而,在使用它之前,需要对卫星衍生的产品进行适当的验证,以便在使用各种应用之前。本研究旨在将每月和季风季节降水衍生产品与热带降雨测量任务(TRMM)多卫星降水分析(TMPA)与2012年1月至2012年1月的雨量计分析进行比较。统计调查是为了计算关系TMPA产品与雨量仪站数据。统计指标显示每月与雨量仪数据以及季风季节的良好协议。据观察,TRMM 3B43降雨估计与雨量计数据更近,具有最小的偏差。建议通过组合地形和地方气候因素考虑来开发卫星降水检索算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号