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Fate of Rainfall Over the North Indian States in the 1.5 and 2°C Warming Scenarios

Kanhu Charan Pattnayak, Amit Awasthi, Kuldeep Sharma, Bibhuti Bhusan Pattnayak

2023Earth and Space Science18 citationsDOIOpen Access PDF

Abstract

Abstract Rise in mean temperature put a great deal of uncertainty about how weather and climate extremes may play out, particularly in India's varied climatic zones. Consequently, it is important to understand the possible changes in both magnitude and direction of weather and climate extremes like rainfall for different warming levels of 1.5 and 2°C scenarios concerning preindustrial and present levels. Hence in the present study, the precipitation behavior of seven North Indian states that is, Haryana, Himachal Pradesh, J&K, Punjab, Rajasthan, Uttar Pradesh, and Uttarakhand carefully studied using CMIP5 models. Future projections of precipitation has been done for the Paris Agreement global warming level of 1.5 and 2°C scenarios. Along with model validation and future projections of precipitation, the return period of extreme rainfall is also discussed to understand the behavior of the occurrence of extreme precipitation. Statistical analysis shows that the ensemble means have the least error as compared to the other six CMIP5 models. Therefore, future analysis has been done with the ensemble mean. Our findings show that the precipitation is likely to decrease in the 1.5°C scenarios, while it is likely to increase in the 2°C scenarios. The occurrence and intensity of extreme rainfall events are likely to be more frequent in all the models. The return period of the extreme rainfall events is likely to increase in all the states in both the warming scenarios. A three‐fold rise is likely to increase extreme rainfall events in the 2°C scenario.

Topics & Concepts

PrecipitationClimatologyEnvironmental scienceClimate extremesClimate changeReturn periodGlobal warmingUttar pradeshMagnitude (astronomy)Extreme weatherClimate modelCoupled model intercomparison projectMeteorologyGeographyGeologyFlood mythArchaeologyAstronomySociologyPhysicsSocioeconomicsOceanographyClimate variability and modelsMeteorological Phenomena and SimulationsHydrology and Drought Analysis
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