Evaluation of Satellite Monthly Rainfall Product PERSIANN-CCS using Rain Gauge Stations over the Upper Ping River Basin
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Abstract
Long-term recording of rainfall is an essential data to calculate runoff and preliminary irrigation structure design during the feasibility study on the irrigation projects. However, the lack of rain gauge stations and their heterogeneous spatial distribution throughout the Upper Ping River Basin caused limitation of appropriate representative rainfall data, especially in a complex mountainous area. Therefore, the satellite-based rainfall products are the alternative sources that could be used as rainfall data in ungauged areas. In this study, 30 rain gauge stations of the Royal Irrigation Department were selected and examined the consistency of rainfall data using Double Mass Curve method. The statistical measures of correlation coefficient (R), mean error (ME) and bias (BIAS) were tested the relationship between monthly rainfall data from PERSIANN-CCS satellite products and rain gauges during the year 2005 – 2015. The result showed a strong correlation between monthly rainfall data from PERSIANN-CCS and rain gauges with R between 0.80 - 0.98. However, ME and BIAS with negative values on every month, especially the dry season, indicate that PERSIANN-CCS underestimates rainfall data. It was found that the average annual rainfall of the rain gauge stations and PERSIANN-CCS data are 1,158.2 and 831.8 millimeters per year, respectively. In addition, the relationship between ME and NASA SRTM-DEM revealed a negative correlation with an R of -0.65 indicating that PERSIANN-CCS tends to give low accurate rainfall data at high elevation.
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