2021
DOI: 10.3126/jalawaayu.v1i1.36448
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Observations and climate models confirm precipitation pattern is changing over Nepal

Abstract: This paper presents a comprehensive picture of precipitation variability across Nepal over the present (1985-2014) and future (2021-2050) based on gauge-based observations from 28 precipitation stations distributed throughout the country and thirteen climate models of the latest Coupled Model Intercomparison Project Phase 6 (CMIP6) under two Shared Socioeconomic Pathways (SSP 245 and SSP 585). Seventeen different precipitation indices are computed using daily precipitation data based on gauge-based observation… Show more

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Cited by 10 publications
(4 citation statements)
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“…These performance metrics were computed as follows: M E = 140true i = 1 normaln ( normalS normali normalO normali ) n M A E = 140true i = 1 normaln ( | normalS normali normalO normali | ) n RMSE = 1 normaln 140true i = 1 normaln ( normalS normali normalO normali ) 2 P B I A S = 140true i = 1 normaln ( normalS normali normalO normali ) 140true i = 1 normaln normalO normali * 100 % The lower the error value, the better the performance is for all four magnitude‐based metrics. In this study, we also computed 17 extreme precipitation indices (Talchabhadel, 2021) on an annual scale that included consecutive dry and wet days (CDD and CWD), number of wet days (R1, i.e. number of days when daily rainfall ≥1mm), total rainfall amount (PRCPTOT), simple daily rainfall intensity index (SDII), number of days when daily rainfall ≥10, 20, 50, and 100mm (R10, R20, R50, and R100), maximum one‐day precipitation amount (RX1day), maximum consecutive three‐days, five‐days, and seven‐days (RX3day, RX5day, and RX7day), and percentage contribution of RX1day, RX3day, RX5day, and RX7day to the PRCPTOT [i.e.…”
Section: Methodsmentioning
confidence: 99%
“…These performance metrics were computed as follows: M E = 140true i = 1 normaln ( normalS normali normalO normali ) n M A E = 140true i = 1 normaln ( | normalS normali normalO normali | ) n RMSE = 1 normaln 140true i = 1 normaln ( normalS normali normalO normali ) 2 P B I A S = 140true i = 1 normaln ( normalS normali normalO normali ) 140true i = 1 normaln normalO normali * 100 % The lower the error value, the better the performance is for all four magnitude‐based metrics. In this study, we also computed 17 extreme precipitation indices (Talchabhadel, 2021) on an annual scale that included consecutive dry and wet days (CDD and CWD), number of wet days (R1, i.e. number of days when daily rainfall ≥1mm), total rainfall amount (PRCPTOT), simple daily rainfall intensity index (SDII), number of days when daily rainfall ≥10, 20, 50, and 100mm (R10, R20, R50, and R100), maximum one‐day precipitation amount (RX1day), maximum consecutive three‐days, five‐days, and seven‐days (RX3day, RX5day, and RX7day), and percentage contribution of RX1day, RX3day, RX5day, and RX7day to the PRCPTOT [i.e.…”
Section: Methodsmentioning
confidence: 99%
“…The largest range of increment for subbasin level precipitation varying from 32 to 72% is projected for the SSP 585 scenario in the far future. Talchabhadel (2021) found a positive deviation in future annual precipitation in 28 weather stations across…”
Section: Spatio-temporal Variability Of Water Balance Components Unde...mentioning
confidence: 95%
“…We select six climate models: (1) ACCESS-CM2, (2) ACCESS-ESM1-5, (3) EC-Earth3, (4) EC-Earth3-Veg, (5) MPI-ESM1-2HR, and (6) MRI-ESM2-0 (refer Supplementary Table S2 for details) under two SSPs (i.e., SSP 245 and SSP 585). These climate models and scenarios are selected since they demonstrate improved reliability and a range of likely scenarios from medium to the highest warming pathways and an intermediate to the highest socioeconomic challenges across the Himalayan river basins (Mishra et al 2020b;Talchabhadel 2021).…”
Section: Hydroclimatic Datasetsmentioning
confidence: 99%
“…Investing hydrocarbon revenues into modernizing agriculture can also enhance productivity and strengthen food security [ 30 ]. With climate change threatening Nepal's seasonality and precipitation patterns [ 31 ], efficiently harnessing water resources through hydropower projects with storage capacity provides a buffer against droughts or variability in crop yields. Thus, strategic development of hydroelectricity and investment of energy revenues represents a pathway for improving resource sustainability and resilience of rural food systems as Nepal continues to advance economically.…”
Section: Growth Of the Hydropower Sector: Contribution To National En...mentioning
confidence: 99%