干旱区研究

干旱区研究 >

2018 , Vol. 35 >Issue 3: 579 - 588

DOI: https://doi.org/10.13866/j.azr.2018.03.10

气候环境

ITPCAS和CMORPH两种遥感降水产品在陕西地区的适用性研究

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  • （1. 河南大学环境与规划学院，河南 开封 475004；2. 宝鸡文理学院地理与环境学院，陕西 宝鸡 721013；3. 中国科学院西北生态环境资源研究院，甘肃 兰州 730000）
王玉丹(1989-), 女, 博士研究生, 研究方向为降水与气象灾害研究. E-mail: wydan@lzb.ac.cn

收稿日期: 2017-05-03

  修回日期: 2017-01-28

  网络出版日期: 2018-06-01

基金资助

国家自然科学基金项目(41771048); 陕西省科技统筹创新计划项目(2016KTCL03-17); 陕西省教育厅重点实验室项目(16JS006); 宝鸡文理学院博士启动费项目(ZK16065)资助

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Applicability of ITPCAS and CMORPH Precipitation Datasets over Shaanxi Province

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  • (1. College of Environment and Planning, Henan University, Kaifeng, 475004, Henan, China;2. School of Geography and Environment, Baoji University of Arts and Sciences, Baoji, 721013, Shaanxi, China；3. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, 730000, Gansu, China)

Received date: 2017-05-03

  Revised date: 2017-01-28

  Online published: 2018-06-01

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摘要

与气象站观测数据相比，遥感降水产品能够更好地反映降水的空间分布特征。利用36个国家标准气象站点以及23个区域气象站点的观测数据，通过对降水事件的探测能力、不同降水量级的捕捉率和不同时空尺度的降水量误差等指标的分析，评估ITPCAS和CMORPH两种高时空分辨率的遥感降水产品在陕西地区的适用性。结果表明：ITPCAS在多年平均日降水误差、空报率、漏报率、中雨及以上降水等级的捕捉率、多年平均年降水的空间分布及站点误差等方面，均显著好于CMORPH，能够较好地体现陕西地区降水的空间分布特征和变化趋势。

关键词： CMORPH; ITPCAS; 遥感; 降水产品; 适用性; 陕西

本文引用格式

王玉丹，陈浩，刘璨然，丁永建 . ITPCAS和CMORPH两种遥感降水产品在陕西地区的适用性研究[J]. 干旱区研究, 2018 , 35(3) : 579 -588 . DOI: 10.13866/j.azr.2018.03.10

Abstract

 Compared with the precipitation data from meteorological stations, the precipitation products based on remote sensing can be used to well present the spatial distribution of precipitation, whereas the accuracy of remote sensing products generally cannot match that of the meteorological stations. Thus it is necessary to evaluate the common used precipitation products are. In this paper, the reliability of two satellites precipitation products ITPCAS and CMORPH with high spatial-temporal resolution over Shaanxi Province was evaluated using the observed data from 36 national and 23 regional meteorological stations. Analysis based on the indexes including the detection rate of precipitation events, capture rate over all precipitation magnitudes and errors of precipitation at different spatial-temporal scales was adopted in the evaluation. Results showed that the ITPCAS was accurate for the Shaanxi region because of its low bias of average daily precipitation, low false alarming ratio and missed ratio, high capture rate of precipitation for grades higher than moderate magnitude, good presentation of the distribution and variation pattern of the precipitation. The spatial distribution and change pattern of precipitation in the Shaanxi region could well present by ITPCAS precipitation. CMORPH also showed the spatial distribution pattern of precipitation in the Shaanxi region. However, the errors were comparatively higher as CMORPH did not merge any data from meteorological stations. Further revisions of the CMORPH are needed to ensure the accuracy of the products.

Key words： CMORPH; ITPCAS; remote sensing; evaluation on precipitation products; Shaanxi

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