Applications of large deviation theory in geophysical fluid dynamics and climate science
The climate is a complex, chaotic system with many degrees of freedom. Attaining a deeper
level of understanding of climate dynamics is an urgent scientific challenge, given the …
level of understanding of climate dynamics is an urgent scientific challenge, given the …
Projected US drought extremes through the twenty-first century with vapor pressure deficit
Global warming is expected to enhance drought extremes in the United States throughout
the twenty-first century. Projecting these changes can be complex in regions with large …
the twenty-first century. Projecting these changes can be complex in regions with large …
Very rare heat extremes: quantifying and understanding using ensemble reinitialization
C Gessner, EM Fischer, U Beyerle… - Journal of Climate, 2021 - journals.ametsoc.org
Heat waves such as the one in Europe 2003 have severe consequences for the economy,
society, and ecosystems. It is unclear whether temperatures could have exceeded these …
society, and ecosystems. It is unclear whether temperatures could have exceeded these …
Influence of threshold selection in modeling peaks over threshold based nonstationary extreme rainfall series
V Agilan, NV Umamahesh, PP Mujumdar - Journal of Hydrology, 2021 - Elsevier
Recent studies report that the extreme rainfall characteristics in most parts of the globe
exhibit temporal non-stationarity. Therefore, modeling the nonstationary behavior of extreme …
exhibit temporal non-stationarity. Therefore, modeling the nonstationary behavior of extreme …
Estimating changes in temperature extremes from millennial-scale climate simulations using generalized extreme value (GEV) distributions
Changes in extreme weather may produce some of the largest societal impacts of
anthropogenic climate change. However, it is intrinsically difficult to estimate changes in …
anthropogenic climate change. However, it is intrinsically difficult to estimate changes in …
Fast parameter estimation of generalized extreme value distribution using neural networks
The heavy‐tailed behavior of the generalized extreme‐value distribution makes it a popular
choice for modeling extreme events such as floods, droughts, heatwaves, wildfires and so …
choice for modeling extreme events such as floods, droughts, heatwaves, wildfires and so …
Evaluations of high-resolution dynamically downscaled ensembles over the contiguous United States
Abstract This study uses Weather Research and Forecast (WRF) model to evaluate the
performance of six dynamical downscaled decadal historical simulations with 12-km …
performance of six dynamical downscaled decadal historical simulations with 12-km …
Change in the heatwave statistical characteristics over China during the climate warming slowdown
Heatwaves are multi-day periods of extremely high-temperature weather relative to a
region's average conditions and are among the deadliest natural disasters. This study was …
region's average conditions and are among the deadliest natural disasters. This study was …
GEV Analysis of Extreme Rainfall: Comparing Different Time Intervals to Analyse Model Response in Terms of Return Levels in the Study Area of Central Italy
M Gentilucci, A Rossi, N Pelagagge, D Aringoli… - Sustainability, 2023 - mdpi.com
The extreme rainfall events of recent years in central Italy are producing an increase in
hydrogeological risk, with disastrous flooding in terms of human lives and economic losses …
hydrogeological risk, with disastrous flooding in terms of human lives and economic losses …
Historical and projected changes in temperature extremes over China and the inconsistency between multimodel ensembles and individual models from CMIP5 and …
Historical changes and possible future projections of temperature extremes in China, in
terms of return values of annual extreme temperatures, are examined based on daily …
terms of return values of annual extreme temperatures, are examined based on daily …