Article
Engineering, Civil
Hui Wang, Tirusew Asefa, Solomon Erkyihun
Summary: This study investigates how climate variabilities in summer and winter precipitation in the Southern United States are modulated by large scale atmospheric activities, including ENSO and ACE. Results show that summer precipitation ratios differ across Florida and the east coast, with some stations showing significant correlations with ACE. Extreme summer precipitation is modulated by geographic terrain and local atmospheric activities.
JOURNAL OF HYDROLOGY
(2021)
Article
Geosciences, Multidisciplinary
Natalie P. Thomas, Allison B. Marquardt Collow, Michael G. Bosilovich, Amin Dezfuli
Summary: Extreme climate events have increased in frequency and intensity, and indices based on temperature and precipitation are used to quantify these extremes. This study examines how updating the baseline period from 1981-2010 to 1991-2020 affects the quantification of climate extremes in the United States. Using the later baseline period indicates fewer warm extremes, more cold extremes, and fewer but more intense precipitation extremes, with regional variation.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Meteorology & Atmospheric Sciences
Chao Li, Francis Zwiers, Xuebin Zhang, Guilong Li, Ying Sun, Michael Wehner
Summary: The study shows that the new-generation models simulate present-day temperature and precipitation extremes reasonably well and project more frequent and intense hot temperature and precipitation extremes in the future due to global warming. The changes in temperature and precipitation extremes are mostly influenced by global annual mean surface air temperature, with regional variations observed.
JOURNAL OF CLIMATE
(2021)
Article
Geosciences, Multidisciplinary
Felicia Chiang, Peter Greve, Omid Mazdiyasni, Yoshihide Wada, Amir AghaKouchak
Summary: Most attribution studies focus on human impacts on individual climate variables, but climate variables are interrelated, leading to multidimensional changes in response to climate change. By introducing a multivariate method utilizing copula theory and a conditional probability ratio indicator, the impact of anthropogenic forcing on conditional climate behavior can be quantified to better understand climate change.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Engineering, Environmental
Sachidanand Kumar, Kironmala Chanda, Srinivas Pasupuleti
Summary: This study investigates the association between daily precipitation extremes (PEX) and maximum daily temperature (T), dew point temperature (DPT), and precipitable water (PW) in India from 1979 to 2016. The relationship between PEX and physical covariates is modeled using copula for selected cities with different climates. The largest scaling coefficients are observed in Mumbai, with negative scaling with T and positive scaling with DPT. The median value of rainfall extremes increases with decreased T and DPT, but increases with increased PW for all cities. Future scaling analyses using ensemble mean of 13 General Circulation Models (GCMs) show negative to slight positive scaling with T across India.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Rohit Mann, Anju Gupta, Amit Dhorde, Swati Sharma
Summary: This study analyzed the effects of climate change on rainfall variability and extreme rainfall events in Mumbai. The results showed an increasing trend in average annual rainfall and the frequency of heavy and extreme heavy rainfall events. Several change points were identified, with the highest change points occurring between 2001 and 2005. These extreme climate events could have negative consequences for the ecosystem and ecological resources of the study area.
THEORETICAL AND APPLIED CLIMATOLOGY
(2023)
Article
Environmental Sciences
Giuseppe Prete, Elenio Avolio, Vincenzo Capparelli, Fabio Lepreti, Vincenzo Carbone
Summary: We applied extreme value theory (EVT) to study daily precipitation and temperature extremes in the Calabria region, southern Italy, using long-term observational data from 1990 to 2020. The efficiency of EVT was assessed and two different methods were used: the peak-over-threshold approach for precipitation and the block-maxima approach for temperature. The methodologies proved suitable for describing daily extremes both quantitatively and in terms of the most affected areas. However, analysis using reanalysis fields showed limitations in accurately reconstructing extreme values but showed consistency in identifying the most affected areas. The results indicated an increasing trend in daily extreme rainfall and temperature, with specific areas in Calabria projected to experience up to 500 mm/day rainfall and maximum daily temperatures of 40 degrees C in the next 100 years. These findings provide valuable insight into the exacerbation of future extreme weather events associated with climate change effects.
Article
Geosciences, Multidisciplinary
Ryan D. Harp, Daniel E. Horton
Summary: The characterization of changes in precipitation intensities across the entire distribution is important for hazard assessments and water resource management. This study analyzed precipitation observations in 17 regions in the United States and found significant changes in wet day precipitation distributions, particularly a shift towards higher intensities.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Meteorology & Atmospheric Sciences
Hiroshi G. Takahashi
Summary: This study investigated the long-term trends in snowfall characteristics and extremes over Japan using 51 years of station observations data. The results show a statistically significant decreasing trend in seasonally accumulated snowfall at most stations, which are associated with the long-term decrease in the ratio of snowfall days to precipitation days. Major snowfall events occurred in the first half of the study period, while a recent increase in heavy snowfall was not yet evident.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Multidisciplinary Sciences
Oluwafemi E. Adeyeri, Wen Zhou, Xuan Wang, Ruhua Zhang, Patrick Laux, Kazeem A. Ishola, Muhammad Usman
Summary: This study investigates the representations of climate indices and their potential changes under climate change scenarios. The findings suggest that appropriate selection of climate models and strategies are crucial in addressing extreme climate events and mitigating greenhouse gas emissions.
SCIENTIFIC REPORTS
(2022)
Article
Geosciences, Multidisciplinary
Ankit Ghanghas, Ashish Sharma, Sayan Dey, Venkatesh Merwade
Summary: This study investigates the pattern of changes in spatial extent of short duration extreme precipitation events globally by proposing a grid-based indicator named Spatial-Homogeneity. The results show that rising temperature leads to significant shrinking of precipitation extent in the tropics, but an expansion in arid regions; storms with higher precipitation intensity exhibit a faster decrease in spatial extent; and larger spatial extent storms are associated with higher total precipitable water. These findings imply that in a warming climate, tropical regions may experience severe floods as storms become more intense and spatially concentrated.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Water Resources
Adarsha Pratap Adhikari, Ajay Bhakta Mathema
Summary: Despite the significance of extreme climate events in Nepal's socio-economy, there has been limited research on the combination of extremes with temperature and precipitation. This study analyzed temperature and precipitation data from five stations in Gandaki Province, Nepal, between 1990 and 2020. The results showed an increasing trend in maximum temperature for all stations, with the Himalayas and Hill region experiencing a decreasing trend in minimum temperature, while the Siwalik and Terai regions showed an increasing trend. The Jomsom station exhibited an increasing trend in precipitation and the number of rainy days. Overall, the results indicate an increase in the frequency and intensity of extreme climate conditions in Gandaki Province.
JOURNAL OF WATER AND CLIMATE CHANGE
(2023)
Article
Meteorology & Atmospheric Sciences
Luis Gimeno-Sotelo, Emanuele Bevacqua, Luis Gimeno
Summary: Previous studies have identified atmospheric instability, total column water vapor, and horizontal moisture transport as major drivers of precipitation extremes. However, there is limited knowledge about how the combination of these drivers affects global precipitation extremes. Using daily data from 1981 to 2020, this study found that extreme daily precipitation is practically impossible without any of these drivers being extreme. Atmospheric instability was identified as the primary driver, and the combination of extreme atmospheric instability and total column water vapor had the highest probability of extreme precipitation. These findings highlight the importance of understanding the drivers of precipitation extremes for climate models and risk assessments.
ATMOSPHERIC RESEARCH
(2023)
Article
Meteorology & Atmospheric Sciences
Albert Osso, Richard P. Allan, Ed Hawkins, Len Shaffrey, Douglas Maraun
Summary: Human society and natural systems are adapted to local climate mean and variability. Analysis reveals that many areas in Europe have already experienced significant changes in climate extremes, particularly in extreme temperatures, winter precipitation, and summer drought conditions.
Article
Environmental Sciences
Ankita Pradhan, J. Indu
Summary: This study tests the scaling relationship between extreme precipitation rates and temperature using precipitation data and finds that spatial resolution affects the estimation of extreme precipitation rates. The study also evaluates the sensitivity of C-C scaling in different regions of India with homogeneous precipitation climatology.
ENVIRONMENTAL RESEARCH LETTERS
(2023)