Effect of de-trending climatic parameters on temporal changes of reference evapotranspiration in the eastern Himalayan region of Sikkim, India

Reference Evapotranspiration (ET0) is an essential factor in irrigation scheduling, climate change studies, and drought assessment. The study's main objective was to identify the influences of detrending input climatic parameters (CPs) on ET0 using linear and nonlinear approaches throughout 198...

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Autores principales: Vanita Pandey, Indira Taloh, P. K. Pandey
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Publicado: IWA Publishing 2021
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spelling oai:doaj.org-article:c9fc5038c1ed4279a3b87080ecd853012021-11-05T19:08:06ZEffect of de-trending climatic parameters on temporal changes of reference evapotranspiration in the eastern Himalayan region of Sikkim, India2040-22442408-935410.2166/wcc.2021.160https://doaj.org/article/c9fc5038c1ed4279a3b87080ecd853012021-09-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/6/2797https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354Reference Evapotranspiration (ET0) is an essential factor in irrigation scheduling, climate change studies, and drought assessment. The study's main objective was to identify the influences of detrending input climatic parameters (CPs) on ET0 using linear and nonlinear approaches throughout 1980–2015 in Gangtok, East Sikkim, India. The benchmark values of ET0 were calculated using the global standard FAO56 Penman–Montieth equation. The ET0-related CPs included for the analysis are maximum temperature (Tmax), minimum temperature (Tmin), maximum relative humidity (RHmax), minimum relative humidity (RHmin), and sunshine duration (SSH). The linear and nonlinear trends in various CPs affect ET0 change. Linearly detrended series was obtained by linear regression method whereas, nonlinearly detrended series was obtained using the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise method. Twenty-three scenarios, including the original scenario, 11 scenarios in Group 1 (CPs de-trended linearly), and 11 scenarios in Group 2 (CPs de-trended nonlinearly) were generated. Influences of Tmax and SSH were more substantial than the influences of other CPs for both Group 1 and Group 2. The SSH masked the weak influence of other CPs. The effects of the trends in CPs, especially of SSH and Tmax, were clearly shown. The ET0 values decreased significantly during 1980–2015; however, no significant decreasing trend was observed in the case of SSH, during the same period. The nonlinear detrending gave closer results to the benchmark values as compared to linear detrending because of non-monotone variations of the ET0 and CPs. Therefore, the results from nonlinear detrending were more plausible as compared to linear detrending. The diminishing trend of ET0 prompted an overall alleviation of the dry spell, hence there would be a somewhat lower risk of water use in the study region. HIGHLIGHTS Sunshine hour (SSH) and maximum temperature (Tmax) independently were the most important variables affecting reference evapotranspiration (ET0).; Detrending of minimum temperature and relative humidity insignificantly affects the ET0 process.; Effect of detrending sunshine hour (SSH) masked the increasing trend effects of other climatic parameters on ET0.; ET0 estimated by nonlinear detrending of climatic parameters (CPs) was satisfactory and convincing compared to linear detrending.;Vanita PandeyIndira TalohP. K. PandeyIWA Publishingarticleceemdanclimatic parameters (cps)linear and nonlinear detrendingreference evapotranspiration (et0)Environmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 6, Pp 2797-2813 (2021)
institution DOAJ
collection DOAJ
language EN
topic ceemdan
climatic parameters (cps)
linear and nonlinear detrending
reference evapotranspiration (et0)
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
spellingShingle ceemdan
climatic parameters (cps)
linear and nonlinear detrending
reference evapotranspiration (et0)
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Vanita Pandey
Indira Taloh
P. K. Pandey
Effect of de-trending climatic parameters on temporal changes of reference evapotranspiration in the eastern Himalayan region of Sikkim, India
description Reference Evapotranspiration (ET0) is an essential factor in irrigation scheduling, climate change studies, and drought assessment. The study's main objective was to identify the influences of detrending input climatic parameters (CPs) on ET0 using linear and nonlinear approaches throughout 1980–2015 in Gangtok, East Sikkim, India. The benchmark values of ET0 were calculated using the global standard FAO56 Penman–Montieth equation. The ET0-related CPs included for the analysis are maximum temperature (Tmax), minimum temperature (Tmin), maximum relative humidity (RHmax), minimum relative humidity (RHmin), and sunshine duration (SSH). The linear and nonlinear trends in various CPs affect ET0 change. Linearly detrended series was obtained by linear regression method whereas, nonlinearly detrended series was obtained using the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise method. Twenty-three scenarios, including the original scenario, 11 scenarios in Group 1 (CPs de-trended linearly), and 11 scenarios in Group 2 (CPs de-trended nonlinearly) were generated. Influences of Tmax and SSH were more substantial than the influences of other CPs for both Group 1 and Group 2. The SSH masked the weak influence of other CPs. The effects of the trends in CPs, especially of SSH and Tmax, were clearly shown. The ET0 values decreased significantly during 1980–2015; however, no significant decreasing trend was observed in the case of SSH, during the same period. The nonlinear detrending gave closer results to the benchmark values as compared to linear detrending because of non-monotone variations of the ET0 and CPs. Therefore, the results from nonlinear detrending were more plausible as compared to linear detrending. The diminishing trend of ET0 prompted an overall alleviation of the dry spell, hence there would be a somewhat lower risk of water use in the study region. HIGHLIGHTS Sunshine hour (SSH) and maximum temperature (Tmax) independently were the most important variables affecting reference evapotranspiration (ET0).; Detrending of minimum temperature and relative humidity insignificantly affects the ET0 process.; Effect of detrending sunshine hour (SSH) masked the increasing trend effects of other climatic parameters on ET0.; ET0 estimated by nonlinear detrending of climatic parameters (CPs) was satisfactory and convincing compared to linear detrending.;
format article
author Vanita Pandey
Indira Taloh
P. K. Pandey
author_facet Vanita Pandey
Indira Taloh
P. K. Pandey
author_sort Vanita Pandey
title Effect of de-trending climatic parameters on temporal changes of reference evapotranspiration in the eastern Himalayan region of Sikkim, India
title_short Effect of de-trending climatic parameters on temporal changes of reference evapotranspiration in the eastern Himalayan region of Sikkim, India
title_full Effect of de-trending climatic parameters on temporal changes of reference evapotranspiration in the eastern Himalayan region of Sikkim, India
title_fullStr Effect of de-trending climatic parameters on temporal changes of reference evapotranspiration in the eastern Himalayan region of Sikkim, India
title_full_unstemmed Effect of de-trending climatic parameters on temporal changes of reference evapotranspiration in the eastern Himalayan region of Sikkim, India
title_sort effect of de-trending climatic parameters on temporal changes of reference evapotranspiration in the eastern himalayan region of sikkim, india
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/c9fc5038c1ed4279a3b87080ecd85301
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