Future transition in climate extremes over Western Ghats of India based on CMIP6 models

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Date

2023

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Springer Science and Business Media Deutschland GmbH

Abstract

The effect of climate change on the tropical river catchments in the Western Ghats of India is studied using the Coupled Model Intercomparison Project-6 data (CMIP-6). Multi-model ensembles of rainfall and temperature are constructed using the Random Forest ensemble technique for bias-corrected GCMs in the near future (2014–2050) and far future (2051–2100) horizons. For the two catchments each in the southern, central, and northern Ghats, the trend in minimum and maximum temperatures, precipitation, and other indices are calculated. By 2100, dry sub-humid and humid catchments will see a higher increase in mean annual temperature than per-humid central catchments. In future decades, the warm days and nights increase by 45–50% and 40–70%, respectively, with twofold warming in the winter season. Under a climate change scenario, annual rainfall increases in Vamanapuram, Ulhas, and Purna, while Chaliyar, Netravati, and Aghanashini catchments experience a decrease in rainfall in the far future with an increase in pre-monsoon rainfall. The southern catchments are anticipated to have contrasting variations in the rainfall extremes; northern catchments face a substantial increase in very wet to extremely wet days and medium to heavy rainfall. In all catchments (excluding Vamanapuram), cumulative wet days increase with a decrease in cumulative dry days. After the mid-twenty-first century, humid to per-humid catchments encompass an increase in cool nights, whereas it disappears in dry sub-humid catchments of the Ghat. Interestingly, warming tendencies begin to slow down after 2050. This investigation can assist in comprehending the regional climate extremes in the Western Ghats to formulate better climate risk planning and adaptation strategies. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

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Keywords

Catchments, Climate models, Forestry, Rain, Runoff, 'Dry' [, Climate extremes, CMIP6, Coupled Model Intercomparison Project, ETCCDI index, Random forests, River catchment, Sub-humid, Tropical rivers, Western ghats, Climate change, rain, air temperature, climate change, climate modeling, CMIP, extreme event, machine learning, rainfall, Article, catchment area, climate model, climate warming, environmental temperature, humidity, India, precipitation, rainy season, random forest, river basin, support vector machine, winter, environmental monitoring, river, season, temperature, Western Ghats, Climate Change, Environmental Monitoring, Rivers, Seasons, Temperature

Citation

Environmental Monitoring and Assessment, 2023, 195, 5, pp. -

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