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

2014 ◽  
Vol 23 (3) ◽  
pp. 231-252 ◽  
Author(s):  
Ulf Riediger ◽  
Annegret Gratzki
Keyword(s):  
Central Europe ◽  
Climate Indices ◽  
Weather Types ◽  
Extreme Climate ◽  
Precipitation And Temperature

Relationship between vegetation change and extreme climate indices on the Inner Mongolia Plateau, China, from 1982 to 2013

2018 ◽  
Vol 89 ◽  
pp. 101-109 ◽  
Author(s):  
Chunlan Li ◽  
Jun Wang ◽  
Richa Hu ◽  
Shan Yin ◽  
Yuhai Bao ◽  
...  
Keyword(s):  
Inner Mongolia ◽  
Vegetation Change ◽  
Climate Indices ◽  
Extreme Climate ◽  
Inner Mongolia Plateau

scholarly journals On the use of mean and extreme climate indices to predict sugar yield in western Fiji

2020 ◽  
Vol 29 ◽  
pp. 100271
Author(s):  
Simon McGree ◽  
Sergei Schreider ◽  
Yuriy Kuleshov ◽  
Bipendra Prakash
Keyword(s):  
Sugar Yield ◽  
Climate Indices ◽  
Extreme Climate

Extreme climate indices in Brazil: evaluation of downscaled earth system models at high horizontal resolution

2020 ◽  
Vol 54 (11-12) ◽  
pp. 5065-5088 ◽  
Author(s):  
Alvaro Avila-Diaz ◽  
Gabriel Abrahão ◽  
Flavio Justino ◽  
Roger Torres ◽  
Aaron Wilson
Keyword(s):  
Horizontal Resolution ◽  
Climate Indices ◽  
Earth System ◽  
System Models ◽  
Extreme Climate ◽  
High Horizontal Resolution ◽  
Earth System Models

scholarly journals Spatial Heterogeneity and Complexity of the Impact of Extreme Climate on Vegetation in China

2021 ◽  
Vol 13 (10) ◽  
pp. 5748
Author(s):  
Shuang Li ◽  
Feili Wei ◽  
Zheng Wang ◽  
Jiashu Shen ◽  
Ze Liang ◽  
...  
Keyword(s):  
Extreme Precipitation ◽  
Vegetation Index ◽  
Precipitation Amount ◽  
Extreme Temperature ◽  
Climate Indices ◽  
Natural Ecosystems ◽  
Extreme Climate ◽  
Dry Spell ◽  
Compound Type ◽  
The Impact

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.

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

2017 ◽  
Vol 37 (12) ◽  
pp. 4463-4477 ◽  
Author(s):  
Jana Minářová ◽  
Miloslav Müller ◽  
Alain Clappier ◽  
Stephanie Hänsel ◽  
Andreas Hoy ◽  
...  
Keyword(s):  
Central Europe ◽  
Extreme Precipitation ◽  
Weather Types ◽  
Affected Area

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

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

scholarly journals Climate change projections over Indus basin using CMIP6 model simulations

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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