干旱区研究

Arid Zone Research >

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

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

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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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

Cite this article

WANG Yu-dan, CHEN Hao, LIU Canran, DING Yong-jian . Applicability of ITPCAS and CMORPH Precipitation Datasets over Shaanxi Province[J]. Arid Zone Research, 2018 , 35(3) : 579 -588 . DOI: 10.13866/j.azr.2018.03.10

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