Future weather types and their influence on mean and extreme climate indices for precipitation and temperature in Central Europe

The impact of extreme climate on natural ecosystems and socioeconomic systems is more serious than that of the climate’s mean state. Based on the data of 1698 meteorological stations in China from 2001 to 2018, this study calculated the 27 extreme climate indices of the Expert Team on Climate Change Detection and Indices (ETCCDI). Through correlation analysis and collinearity diagnostics, we selected two representative extreme temperature indices and three extreme precipitation indices. The spatial scale of the impact of extreme climate on Normalized Difference Vegetation Index (NDVI) in China during the growing season from 2001 to 2018 was quantitatively analyzed, and the complexity of the dominant factors in different regions was discussed via clustering analysis. The research results show that extreme climate indices have a scale effect on vegetation. There are spatial heterogeneities in the impacts of different extreme climate indices on vegetation, and these impacts varied between the local, regional and national scales. The relationship between the maximum length of a dry spell (CDD) and NDVI was the most spatially nonstationary, and mostly occurred on the local scale, while the effect of annual total precipitation when the daily precipitation amount was more than the 95th percentile (R95pTOT) showed the greatest spatial stability, and mainly manifested at the national scale. Under the current extreme climate conditions, extreme precipitation promotes vegetation growth, while the influence of extreme temperature is more complicated. As regards intensity and range, the impact of extreme climate on NDVI in China over the past 18 years can be categorized into five types: the humidity-promoting type, the cold-promoting and drought-inhibiting compound type, the drought-inhibiting type, the heat-promoting and drought-inhibiting compound type, and the heat-promoting and humidity-promoting compound type. Drought is the greatest threat to vegetation associated with extreme climate in China.

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Duration, rarity, affected area, and weather types associated with extreme precipitation in the Ore Mountains (Erzgebirge) region, Central Europe

International Journal of Climatology ◽

10.1002/joc.5100 ◽

2017 ◽

Vol 37 (12) ◽

pp. 4463-4477 ◽

Cited By ~ 5

Author(s):

Jana Minářová ◽

Miloslav Müller ◽

Alain Clappier ◽

Stephanie Hänsel ◽

Andreas Hoy ◽

...

Keyword(s):

Central Europe ◽

Extreme Precipitation ◽

Weather Types ◽

Affected Area

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Univariate Statistics of the RCPs Forced ET–SCI Based Extreme Climate Indices Over Pakistan

European Journal of Sustainable Development Research ◽

10.21601/ejosdr/11091 ◽

2021 ◽

Vol 5 (3) ◽

pp. em0166

Author(s):

Ahmad Khan Burhan ◽

Azmat Hayat Khan ◽

Syed Ahsan Ali Bukhari ◽

Khurram Riaz

Keyword(s):

Climate Indices ◽

Extreme Climate ◽

Univariate Statistics

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Climate change projections over Indus basin using CMIP6 model simulations

10.21203/rs.3.rs-365154/v1 ◽

2021 ◽

Author(s):

KOTESWARARAO KUNDETI ◽

Lakshmi Kumar T.V ◽

Ashwini Kulkarni ◽

Chowdary J.S ◽

Srinivas Desamsetti

Keyword(s):

Climate Change ◽

21St Century ◽

Minimum Temperature ◽

Coupled Model ◽

Baseline Period ◽

Indus Basin ◽

Climate Indices ◽

Data Sets ◽

Projected Changes ◽

Precipitation And Temperature

Abstract Indus basin is one of the most vulnerable regions due to climate change. This article presents the projected changes in precipitation and temperature over the Indus Basin using statistically downscaled, bias-corrected Coupled Model Intercomparison Project-6 (CMIP6) data sets for different shared socioeconomic pathways (SSP2-4.5 and SSP5-8.5) in response to global warming. The future changes in precipitation and temperature extremes for different epochal periods of the 21st century are outlined. The spatial variations of precipitation, maximum and minimum temperature obtained from the Multi-Model Mean (MMM) of CMIP6 models showed a good agreement with observations such as APHRODITE (precipitation), CPC (temperature) for the base period 1995 to 2014 over the Indus Basin. Our results suggest that there is a general increase in precipitation/ maximum and minimum temperature over the Upper Indus Basin/Lower Indus Basin by the end of the 21st century. It is also noted that the spatial variability of extreme climate indices is high during June to September (JJAS) than December to January (DJF). By the end of the century projections show that the precipitation changes are about 85% in JJAS and 40% in DJF with reference to the baseline (1995–2014) period over Indus Basin region. The temperature extreme indices are also increasing in future compare to the baseline period.

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