Future climate change implications in Bhutan from a downscaled and bias‐adjusted CMIP6 multimodel ensemble

We describe the bias adjustment and downscaling to a resolution of 1 × 1 km of daily temperature, precipitation and solar radiation of a multimodel ensemble of Coupled Model Intercomparison Project Phase 6 (CMIP6) GCMs with the local observational data set BhutanClim for Bhutan and an analysis of th...

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Veröffentlicht in:International journal of climatology 2024-11, Vol.44 (14), p.5057-5074
Hauptverfasser: Lehner, Fabian, Nadeem, Imran, Formayer, Herbert
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container_title International journal of climatology
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creator Lehner, Fabian
Nadeem, Imran
Formayer, Herbert
description We describe the bias adjustment and downscaling to a resolution of 1 × 1 km of daily temperature, precipitation and solar radiation of a multimodel ensemble of Coupled Model Intercomparison Project Phase 6 (CMIP6) GCMs with the local observational data set BhutanClim for Bhutan and an analysis of the results for 1996–2100. The GCMs were selected based on their ability to reproduce local temporal and spatial precipitation patterns, resulting in a total of 14 models for each shared socioeconomic pathway (SSP). The results are shown for five global warming levels (GWLs) 1.5, 2, 3, 4 and 5°C, providing insight into the projected impacts of climate change at different warming levels. The daily temperature and precipitation data are publicly available, which is of great benefit for climate impact studies, such as ecological, hydrological or infrastructure‐related studies. In this paper, we discuss showcase climate indicators. Peak‐over‐threshold climate indicators such as hot days above 30°C are relevant for human health. In the capital city of Thimphu, these are currently rare, at 4 days per year, but might increase to more than 80 for GWL5.0. Precipitation increases in the summer months, but slightly decreases in the drier winter months. Accordingly, the 3‐month SPEI drought index is projected to increase in summer, but strongly decreases in the winter months, mostly pronounced in February. The increasing severity of late‐winter and spring droughts might have a negative impact on vegetation, wildfires and water supply. A newly created high‐resolution multimodel ensemble of CMIP6 climate models are analysed for Bhutan. They show a massive increase in hot days above 30 and 35°C and indicate more pronounced droughts in the winter months, especially in February, as temperature increases while the winter precipitation does not.
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subjects Bhutan
Bias
Climate change
Climate studies
CMIP6
Daily temperatures
Drought
Drought index
Environmental impact
Future climates
Global warming
high resolution
Hydrologic data
Indicators
Intercomparison
Precipitation
Precipitation data
Precipitation patterns
Solar radiation
Spatial data
Summer
temperature
Vegetation
Water supply
Wildfires
Winter
title Future climate change implications in Bhutan from a downscaled and bias‐adjusted CMIP6 multimodel ensemble
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