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Clock hour correction effect on extreme value analysis of rainfall on Western Coast of India
Increasing trend of number and intensity of the extreme precipitation events in India has been reported in literature. Majority of the Indian weather stations have historical rainfall data recorded at a fixed time (0830 hours) of the day, which could be a limitation for correct estimation of extremes. To overcome this, clock hour correction factor (CHCF) in extreme value analysis (EVA) assumes importance. With hourly rainfall data from a site on western coast of India, CHCF was estimated and compared with those reported in literature. The CHCF estimated in this study was higher than those suggested for India in literature or codes. Further, the effect of the CHCF on EVA was examined for India taking CHCF from literature and Indian standards. Towards this, EVA was performed with fixed window (FW) maxima (with CHCF) and sliding window (SW) maxima obtained from the hourly rainfall records of the site. The extreme rainfall from EVA with FW monthly maxima (68 entries) along with CHCF was conservative, compared to those with SW monthly maxima. Annual FW data (17 entries) resulted in unacceptable extreme values (with or without CHCF). This could be due to the insufficient data length and different distribution shape for annual FW data. Treating each monsoon month as a block in Block Maxima approach or adopting suitable threshold in Peak-Over-Threshold approach could help to increase data length for EVA from shorter record length of rainfall data.
Clock hour correction effect on extreme value analysis of rainfall on Western Coast of India
Increasing trend of number and intensity of the extreme precipitation events in India has been reported in literature. Majority of the Indian weather stations have historical rainfall data recorded at a fixed time (0830 hours) of the day, which could be a limitation for correct estimation of extremes. To overcome this, clock hour correction factor (CHCF) in extreme value analysis (EVA) assumes importance. With hourly rainfall data from a site on western coast of India, CHCF was estimated and compared with those reported in literature. The CHCF estimated in this study was higher than those suggested for India in literature or codes. Further, the effect of the CHCF on EVA was examined for India taking CHCF from literature and Indian standards. Towards this, EVA was performed with fixed window (FW) maxima (with CHCF) and sliding window (SW) maxima obtained from the hourly rainfall records of the site. The extreme rainfall from EVA with FW monthly maxima (68 entries) along with CHCF was conservative, compared to those with SW monthly maxima. Annual FW data (17 entries) resulted in unacceptable extreme values (with or without CHCF). This could be due to the insufficient data length and different distribution shape for annual FW data. Treating each monsoon month as a block in Block Maxima approach or adopting suitable threshold in Peak-Over-Threshold approach could help to increase data length for EVA from shorter record length of rainfall data.
Clock hour correction effect on extreme value analysis of rainfall on Western Coast of India
Dauji, Saha (author)
ISH Journal of Hydraulic Engineering ; 28 ; 390-402
2022-11-01
13 pages
Article (Journal)
Electronic Resource
Unknown
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