JOURNAL OF NATURAL RESOURCES ›› 2018, Vol. 33 ›› Issue (10): 1847-1861.doi: 10.31497/zrzyxb.20171180

• Resource Research Method • Previous Articles    

Evaluating the Applicability of GPM Satellite Precipitation Datain Heihe River Basin

WANG Si-meng, WANG Da-zhao, HUANG Chang   

  1. Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China
  • Received:2017-11-06 Revised:2018-01-22 Online:2018-10-20 Published:2018-10-20
  • Supported by:
    National Key R & D Program, No. 2017YFC1502501; National Natural Science Foundation of China, No. 41501460.

Abstract: The precipitation varies across space and time. The estimation of precipitation is thus difficult to achieve high precision, leading to the significant difference and enormous uncertainties when applying precipitation products in different areas. The accuracy could be influenced by terrain or climatic factors. Therefore, it is necessary to verify its suitability and accuracy before using GPM data for precipitation monitoring. In this paper, the applicability of GPM satellite precipitation data in Heihe River Basin (HRB) is evaluated at both spatial and temporal scales. Based on the precipitation data of the TRMM satellite and the precipitation data measured at the meteorological observation sites, the correlation coefficient (R), root mean square error (RMSE), relative bias (BIAS), mean error (ME) and standard deviation (SD) were selected to evaluate the accuracy of satellite data. The results demonstrate that the monthly GPM data can capture the precipitation well. It shows a good consistency with the measured data and reveals a good temporal pattern. There is a high correlation between the GPM data and the observed data (R> 0.72) and a low error range (-0.59% - 1.62%). Comparing with TRMM, GPM produces lower RMS error (RMSE <28.76). In summer, GPM performs better, with higher correlation coefficient (R> 0.76) and lower error (BIAS <1.14). Both estimated precipitation and measured precipitation decline from southeast to northwest. The elevation was found to have a significant impact on the precipitation monitoring accuracy. In general, the GPM satellite precipitation data are applicable in the arid and semi-arid areas with complex terrain and can accurately reflect the precipitation distribution, bearing in mind that further improvement is still needed.

Key words: GPM, Heihe River Basin, precipitation estimation, satellite precipitation data, TRMM

CLC Number: 

  • P412.27