Changes in climate classification and extreme climate indices from a high-resolution future projection in Korea

2012 ◽  
Vol 48 (3) ◽  
pp. 213-226 ◽  
Author(s):  
Kyung-Sook Yun ◽  
Ki-Young Heo ◽  
Jung-Eun Chu ◽  
Kyung-Ja Ha ◽  
Eun-Jeong Lee ◽  
...  
Keyword(s):  
High Resolution ◽  
Climate Indices ◽  
Future Projection ◽  
Climate Classification ◽  
Extreme Climate

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 Multidecadal Evaluation of WRF Downscaling Capabilities over Western Australia in Simulating Rainfall and Temperature Extremes

2015 ◽  
Vol 54 (2) ◽  
pp. 370-394 ◽  
Author(s):  
Julia Andrys ◽  
Thomas J. Lyons ◽  
Jatin Kala
Keyword(s):  
High Resolution ◽  
Western Australia ◽  
General Circulation ◽  
Regional Climate ◽  
Wrf Model ◽  
Climate Extremes ◽  
Convective Precipitation ◽  
Climate Simulation ◽  
Climate Indices ◽  
Climate Simulations

AbstractThe authors evaluate a 30-yr (1981–2010) Weather Research and Forecast (WRF) Model regional climate simulation over the southwest of Western Australia (SWWA), a region with a Mediterranean climate, using ERA-Interim boundary conditions. The analysis assesses the spatial and temporal characteristics of climate extremes, using a selection of climate indices, with an emphasis on metrics that are relevant for forestry and agricultural applications. Two nested domains at 10- and 5-km resolution are examined, with the higher-resolution simulation resolving convection explicitly. Simulation results are compared with a high-resolution, gridded observational dataset that provides daily rainfall, minimum temperatures, and maximum temperatures. Results show that, at both resolutions, the model is able to simulate the daily, seasonal, and annual variation of temperature and precipitation well, including extreme events. The higher-resolution domain displayed significant performance gains in simulating dry-season convective precipitation, rainfall around complex terrain, and the spatial distribution of frost conditions. The high-resolution domain was, however, influenced by grid-edge effects in the southwestern margin, which reduced the ability of the domain to represent frontal rainfall along the coastal region. On the basis of these results, the authors feel confident in using the WRF Model for regional climate simulations for the SWWA, including studies that focus on the spatial and temporal representation of climate extremes. This study provides a baseline climatological description at a high resolution that can be used for impact studies and will also provide a benchmark for climate simulations driven by general circulation models.

scholarly journals Extreme climate projections over the transboundary Koshi River Basin using a high resolution regional climate model

2017 ◽  
Vol 8 (3) ◽  
pp. 199-211 ◽  
Author(s):  
Rupak Rajbhandari ◽  
Arun Bhakta Shrestha ◽  
Santosh Nepal ◽  
Shahriar Wahid ◽  
Guo-Yu Ren
Keyword(s):  
High Resolution ◽  
Regional Climate Model ◽  
River Basin ◽  
Climate Model ◽  
Regional Climate ◽  
Climate Projections ◽  
Extreme Climate ◽  
Koshi River Basin

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.

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