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 | Rating: 5.2 / 10

A Comparative Study on Satellite Rainfall Data with Observations from Gauge Station Data of Karwar Taluka, Uttarkannad District

Shreenivas K. Devarushi

Abstract: Rainfall is one of the most significant processes of hydrological cycle which stands essential for lives on the earth. In recent days it has been recording through satellite usage. Hence the satellite records comparative (quality) check is very important to make use data set for different studies of water resource management. Therefore, in present study two different satellite records namely, CHIRPS & PERSSIAN data sets of 20 years period (2001-2019) have been used for comparative study between gauage station records. In this study the 3 stations namely Karwar, Gopashitta & Kadra are taken under consideration from the study region of Karwar taluka. Basically, taluka has 6 stations out which 3 are newly installed. Hence only above 3 station records are made used for study due to their available length of records. It is observed that both satellite records show very good results for stations Karwar and Gopashitta. But not quite good for Kadra station (R2= 0.339 to 0.452) for both annual & monsoon rainfalls. This may be due to improper record or may be the issue of resolution of satellite record. The study is carried out for monsoon and annual records for both satellite and ground station. Initially its variation is studied using method of time series analysis. Then the strength of relation between satellite and ground station records is checked using linear regression method. It is resulted well for Karwar and Gopashitta stations for both monsoon and annual records giving R2 values in the range of 0.605 to 0.673 for monsoon season to 0.659 to 0.698 for annual rainfall.

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

Edition: Volume 13 Issue 4, April 2024,

Pages: 980 - 982

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