Spatiotemporal assessment of precipitation variability, seasonality, and extreme characteristics over a Himalayan catchment
This paper presents a detailed spatiotemporal analysis of the rainfall variability, seasonality, and the extreme characteristics of Tehri catchment located in the lower Himalayan region in India. To this end, the daily rainfall data is extracted from 22 grids for 117 years (1901–2017) from the high-...
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description | This paper presents a detailed spatiotemporal analysis of the rainfall variability, seasonality, and the extreme characteristics of Tehri catchment located in the lower Himalayan region in India. To this end, the daily rainfall data is extracted from 22 grids for 117 years (1901–2017) from the high-resolution (0.25° × 0.25°) gridded observation dataset. Monthly rainfall distribution is evaluated using precipitation concentration index (
PCI
) and seasonality index. The extreme rainfall indices, viz., maximum 1-day rainfall (Rx1Day), maximum 5-day rainfall (Rx5Day), number of rainy days (NxRainy), total precipitation in rainy days (PRCPTOT), number of heavy rainfall events (NxHeavy), maximum consecutive wet days (CWD), and simple daily intensity index (SDII) are computed for each year considering the thresholds suggested by India Meteorological Department (IMD). The Mann–Whitney-Pettitt test when applied to the annual rainfall time series revealed the year 1958 to be the statistically significant change point. The non-parametric modified Mann–Kendall and Sen’s slope tests are employed to detect the trend in monthly, seasonal, annual rainfall time series, extreme precipitation indices, and seasonality indices for both the pre- and post-1958 periods. The annual rainfall over the grids mostly possessed higher negative trends during 1959–2017 than those during 1901–1958, mainly due to the decreasing trends in post-monsoon and winter seasons. Compared to 1901–1958, NxRainy, CWD, and PRCPTOT exhibited a remarkable decreasing trend whereas NxHeavy, Rx1Day, Rx5Day, and SDII exhibited higher positive trends during 1959–2017, indicating intensification of precipitation. The precipitation over the catchment has been more concentrated in the latter epochs of monsoon season and annual rainfall and it is also evident from the increasing trends of the seasonality indices. There is no such study dealing comprehensively with identification of extreme characteristics, seasonality/concentration characteristics, and various categorical trends of precipitation in a Himalayan region reported in literature. This study will be useful in understanding the decreasing trend of precipitation volume coupled with increasing intensity and concentration and it is quite critical for a Himalayan catchment. |
doi_str_mv | 10.1007/s00704-021-03861-0 |
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PCI
) and seasonality index. The extreme rainfall indices, viz., maximum 1-day rainfall (Rx1Day), maximum 5-day rainfall (Rx5Day), number of rainy days (NxRainy), total precipitation in rainy days (PRCPTOT), number of heavy rainfall events (NxHeavy), maximum consecutive wet days (CWD), and simple daily intensity index (SDII) are computed for each year considering the thresholds suggested by India Meteorological Department (IMD). The Mann–Whitney-Pettitt test when applied to the annual rainfall time series revealed the year 1958 to be the statistically significant change point. The non-parametric modified Mann–Kendall and Sen’s slope tests are employed to detect the trend in monthly, seasonal, annual rainfall time series, extreme precipitation indices, and seasonality indices for both the pre- and post-1958 periods. The annual rainfall over the grids mostly possessed higher negative trends during 1959–2017 than those during 1901–1958, mainly due to the decreasing trends in post-monsoon and winter seasons. Compared to 1901–1958, NxRainy, CWD, and PRCPTOT exhibited a remarkable decreasing trend whereas NxHeavy, Rx1Day, Rx5Day, and SDII exhibited higher positive trends during 1959–2017, indicating intensification of precipitation. The precipitation over the catchment has been more concentrated in the latter epochs of monsoon season and annual rainfall and it is also evident from the increasing trends of the seasonality indices. There is no such study dealing comprehensively with identification of extreme characteristics, seasonality/concentration characteristics, and various categorical trends of precipitation in a Himalayan region reported in literature. This study will be useful in understanding the decreasing trend of precipitation volume coupled with increasing intensity and concentration and it is quite critical for a Himalayan catchment.</description><identifier>ISSN: 0177-798X</identifier><identifier>EISSN: 1434-4483</identifier><identifier>DOI: 10.1007/s00704-021-03861-0</identifier><language>eng</language><publisher>Vienna: Springer Vienna</publisher><subject>5-day precipitation ; Analysis ; Annual ; Annual precipitation ; Annual rainfall ; Aquatic Pollution ; Atmospheric precipitations ; Atmospheric Protection/Air Quality Control/Air Pollution ; Atmospheric Sciences ; Catchment area ; Catchments ; Climate science ; Climatology ; Daily rainfall ; Earth and Environmental Science ; Earth Sciences ; Extreme weather ; Heavy rainfall ; Hydrologic data ; Monsoon rainfall ; Monsoons ; Monthly rainfall ; Original Paper ; Precipitation ; Precipitation variability ; Rain ; Rain and rainfall ; Rainfall data ; Rainfall distribution ; Rainfall variability ; Seasonal variations ; Seasonality ; Seasons ; Statistical analysis ; Time series ; Trends ; Variability ; Waste Water Technology ; Water Management ; Water Pollution Control ; Wet days ; Wind</subject><ispartof>Theoretical and applied climatology, 2022, Vol.147 (1-2), p.817-833</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021</rights><rights>COPYRIGHT 2022 Springer</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c392t-2c3f78cf7aa6b7a26f87fb58d03cc9c9148c59f30fd6663d50de7e749fa97f083</citedby><cites>FETCH-LOGICAL-c392t-2c3f78cf7aa6b7a26f87fb58d03cc9c9148c59f30fd6663d50de7e749fa97f083</cites><orcidid>0000-0002-4639-9323</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00704-021-03861-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00704-021-03861-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Swain, Sabyasachi</creatorcontrib><creatorcontrib>Mishra, Surendra Kumar</creatorcontrib><creatorcontrib>Pandey, Ashish</creatorcontrib><creatorcontrib>Dayal, Deen</creatorcontrib><title>Spatiotemporal assessment of precipitation variability, seasonality, and extreme characteristics over a Himalayan catchment</title><title>Theoretical and applied climatology</title><addtitle>Theor Appl Climatol</addtitle><description>This paper presents a detailed spatiotemporal analysis of the rainfall variability, seasonality, and the extreme characteristics of Tehri catchment located in the lower Himalayan region in India. To this end, the daily rainfall data is extracted from 22 grids for 117 years (1901–2017) from the high-resolution (0.25° × 0.25°) gridded observation dataset. Monthly rainfall distribution is evaluated using precipitation concentration index (
PCI
) and seasonality index. The extreme rainfall indices, viz., maximum 1-day rainfall (Rx1Day), maximum 5-day rainfall (Rx5Day), number of rainy days (NxRainy), total precipitation in rainy days (PRCPTOT), number of heavy rainfall events (NxHeavy), maximum consecutive wet days (CWD), and simple daily intensity index (SDII) are computed for each year considering the thresholds suggested by India Meteorological Department (IMD). The Mann–Whitney-Pettitt test when applied to the annual rainfall time series revealed the year 1958 to be the statistically significant change point. The non-parametric modified Mann–Kendall and Sen’s slope tests are employed to detect the trend in monthly, seasonal, annual rainfall time series, extreme precipitation indices, and seasonality indices for both the pre- and post-1958 periods. The annual rainfall over the grids mostly possessed higher negative trends during 1959–2017 than those during 1901–1958, mainly due to the decreasing trends in post-monsoon and winter seasons. Compared to 1901–1958, NxRainy, CWD, and PRCPTOT exhibited a remarkable decreasing trend whereas NxHeavy, Rx1Day, Rx5Day, and SDII exhibited higher positive trends during 1959–2017, indicating intensification of precipitation. The precipitation over the catchment has been more concentrated in the latter epochs of monsoon season and annual rainfall and it is also evident from the increasing trends of the seasonality indices. There is no such study dealing comprehensively with identification of extreme characteristics, seasonality/concentration characteristics, and various categorical trends of precipitation in a Himalayan region reported in literature. This study will be useful in understanding the decreasing trend of precipitation volume coupled with increasing intensity and concentration and it is quite critical for a Himalayan catchment.</description><subject>5-day precipitation</subject><subject>Analysis</subject><subject>Annual</subject><subject>Annual precipitation</subject><subject>Annual rainfall</subject><subject>Aquatic Pollution</subject><subject>Atmospheric precipitations</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Atmospheric Sciences</subject><subject>Catchment area</subject><subject>Catchments</subject><subject>Climate science</subject><subject>Climatology</subject><subject>Daily rainfall</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Extreme weather</subject><subject>Heavy rainfall</subject><subject>Hydrologic data</subject><subject>Monsoon rainfall</subject><subject>Monsoons</subject><subject>Monthly rainfall</subject><subject>Original Paper</subject><subject>Precipitation</subject><subject>Precipitation variability</subject><subject>Rain</subject><subject>Rain and rainfall</subject><subject>Rainfall data</subject><subject>Rainfall distribution</subject><subject>Rainfall variability</subject><subject>Seasonal variations</subject><subject>Seasonality</subject><subject>Seasons</subject><subject>Statistical analysis</subject><subject>Time series</subject><subject>Trends</subject><subject>Variability</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><subject>Wet days</subject><subject>Wind</subject><issn>0177-798X</issn><issn>1434-4483</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kVFrFDEQx4MoeFa_gE8BnwS3Jpu9JPtYitpCQbAKvoW57OSasrtZM7ni4Zc35wrSFwlMyPD7T2bmz9hrKc6lEOY91SC6RrSyEcrqGp-wjexU13SdVU_ZRkhjGtPb78_ZC6J7IUSrtdmwX7cLlJgKTkvKMHIgQqIJ58JT4EtGH5dYTsjMHyBH2MUxluM7TgiUZlgfMA8cf5aME3J_Bxl8wRypRE88PWDmwK_iBCMcYeYeir87_fCSPQswEr76e5-xbx8_fL28am4-f7q-vLhpvOrb0rReBWN9MAB6Z6DVwZqw29pBKO9738vO-m0flAiD1loNWzGgQdP1AXoThFVn7M1ad8npxwGpuPt0yLV3cq2WRoremq5S5yu1hxFdnEMqdY56BpyiTzOGWPMX2tq-tdKKKnj7SFCZUpewhwORu7798phtV9bnRJQxuCXXheSjk8KdHHSrg6466P446E4itYqowvMe87--_6P6DerNoLI</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Swain, Sabyasachi</creator><creator>Mishra, Surendra Kumar</creator><creator>Pandey, Ashish</creator><creator>Dayal, Deen</creator><general>Springer 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catchment</atitle><jtitle>Theoretical and applied climatology</jtitle><stitle>Theor Appl Climatol</stitle><date>2022</date><risdate>2022</risdate><volume>147</volume><issue>1-2</issue><spage>817</spage><epage>833</epage><pages>817-833</pages><issn>0177-798X</issn><eissn>1434-4483</eissn><abstract>This paper presents a detailed spatiotemporal analysis of the rainfall variability, seasonality, and the extreme characteristics of Tehri catchment located in the lower Himalayan region in India. To this end, the daily rainfall data is extracted from 22 grids for 117 years (1901–2017) from the high-resolution (0.25° × 0.25°) gridded observation dataset. Monthly rainfall distribution is evaluated using precipitation concentration index (
PCI
) and seasonality index. The extreme rainfall indices, viz., maximum 1-day rainfall (Rx1Day), maximum 5-day rainfall (Rx5Day), number of rainy days (NxRainy), total precipitation in rainy days (PRCPTOT), number of heavy rainfall events (NxHeavy), maximum consecutive wet days (CWD), and simple daily intensity index (SDII) are computed for each year considering the thresholds suggested by India Meteorological Department (IMD). The Mann–Whitney-Pettitt test when applied to the annual rainfall time series revealed the year 1958 to be the statistically significant change point. The non-parametric modified Mann–Kendall and Sen’s slope tests are employed to detect the trend in monthly, seasonal, annual rainfall time series, extreme precipitation indices, and seasonality indices for both the pre- and post-1958 periods. The annual rainfall over the grids mostly possessed higher negative trends during 1959–2017 than those during 1901–1958, mainly due to the decreasing trends in post-monsoon and winter seasons. Compared to 1901–1958, NxRainy, CWD, and PRCPTOT exhibited a remarkable decreasing trend whereas NxHeavy, Rx1Day, Rx5Day, and SDII exhibited higher positive trends during 1959–2017, indicating intensification of precipitation. The precipitation over the catchment has been more concentrated in the latter epochs of monsoon season and annual rainfall and it is also evident from the increasing trends of the seasonality indices. There is no such study dealing comprehensively with identification of extreme characteristics, seasonality/concentration characteristics, and various categorical trends of precipitation in a Himalayan region reported in literature. This study will be useful in understanding the decreasing trend of precipitation volume coupled with increasing intensity and concentration and it is quite critical for a Himalayan catchment.</abstract><cop>Vienna</cop><pub>Springer Vienna</pub><doi>10.1007/s00704-021-03861-0</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-4639-9323</orcidid></addata></record> |
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subjects | 5-day precipitation Analysis Annual Annual precipitation Annual rainfall Aquatic Pollution Atmospheric precipitations Atmospheric Protection/Air Quality Control/Air Pollution Atmospheric Sciences Catchment area Catchments Climate science Climatology Daily rainfall Earth and Environmental Science Earth Sciences Extreme weather Heavy rainfall Hydrologic data Monsoon rainfall Monsoons Monthly rainfall Original Paper Precipitation Precipitation variability Rain Rain and rainfall Rainfall data Rainfall distribution Rainfall variability Seasonal variations Seasonality Seasons Statistical analysis Time series Trends Variability Waste Water Technology Water Management Water Pollution Control Wet days Wind |
title | Spatiotemporal assessment of precipitation variability, seasonality, and extreme characteristics over a Himalayan catchment |
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