International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Comparative Studies | Water Resource Engineering | India | Volume 13 Issue 4, April 2024


A Performance Evaluation of Chirps Satellite Rainfall Data Over Rain Gauge Station Data of Sirsi Taluka, Uttarkannad District

Shreenivas. K. Devarushi


Abstract: Rainfall is most significant processes of hydrological cycle which has its own domain in the nature and also it stands essential for lives above and beneath the earth surface. It is generally recorded by raingauges but in recent days it has been recording through use of satellite. Hence the satellite records comparative or performance check is very important to make use data set for different studies of water resource management. Therefore, in present study CHIRPS satellite records of 20 years period (2002-2022) have been used for performance check over gauge station records of Sirsi taluka, Uttrakannad district. The Sirsi taluka basically contains 10 raingauge stations which are taken in to consideration for the present study. It is observed from linear regression method that CHIRPS satellite records performs good for stations Sirsi and Bandal (R2= 0.39 to 0.46) as well as quite good for stations Janmane, Karur, Yakkambi, & Hulekal (R2= 0.20 to 0.40) for both annual & monsoon rainfalls. Also it exhibited poor performance for the stations Hegadekatta, Hebbatti, Bidralli & Mugavalli resulting very minimal value for R2 in the range of 0.03 to 0.1. As the study is carried out for monsoon and annual rainfall records, initially the performance check for satellite records is carried out using time series analysis. Which is helpful to study the satellite rainfall variations corresponds to gauge station records on the basis of visual interpretation. Then the strength of relationship between the two records is checked using linear regression method. Hence from both the methods CHIRPS data records performed well for stations Sirsi & Bandal.


Keywords: hydrological cycle, performance, CHIRPS, time series analysis, linear regression


Edition: Volume 13 Issue 4, April 2024,


Pages: 1206 - 1209


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