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Evaluation of hot temperature extremes and heat waves in the Mississippi River Basin 期刊论文
ATMOSPHERIC RESEARCH, 2020, 239
作者:  Tavakol, Ameneh;  Rahmani, Vahid;  Harrington, John, Jr.
收藏  |  浏览/下载：11/0  |  提交时间：2020/08/18
Climatic nonstationarity  Hot extremes  Heat waves  Spatiotemporal trend analysis  Water  Change-point  Agriculture  Economy  Human and animal health  
Estimating economic losses from perceived heat stress in urban Malaysia 期刊论文
ECOLOGICAL ECONOMICS, 2019, 159: 84-90
作者:  Zander, Kerstin K.;  Mathew, Supriya
收藏  |  浏览/下载：5/0  |  提交时间：2019/11/26
Climate change  Heat waves  Labour productivity loss  South-east Asia  Urbanization  
Predictability of the European heat and cold waves 期刊论文
CLIMATE DYNAMICS, 2019, 52: 2481-2495
作者:  Lavaysse, Christophe;  Naumann, Gustavo;  Alfieri, Lorenzo;  Salamon, Peter;  Vogt, Juergen
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
Predictability  Heat waves  Cold waves  Ensemble forecasts  Validation  
Who is responsible for climate change adaptation? 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (1)
作者:  Reckien, Diana;  Petkova, Elisaveta P.
收藏  |  浏览/下载：2/0  |  提交时间：2019/04/09
climate change adaptation  New York City  perception and attitudes  heat waves and heavy rainstorms  adaptation responsibility  differential climate change impacts  social vulnerability  
Issues and challenges in defining a heat wave: A Mediterranean case study 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (1) : 331-342
作者:  Barcena-Martin, Elena;  Molina, Julian;  Damian Ruiz-Sinoga, Jose
收藏  |  浏览/下载：6/0  |  提交时间：2019/04/09
daily threshold  heat waves  maximum air temperature  minimum air temperature  moving reference period  
Extreme temperature events affecting the electricity distribution system of the metropolitan area of Buenos Aires (1971-2013) 期刊论文
ENERGY POLICY, 2017, 106
作者:  Santagata, Daniela M.;  Castesana, Paula;  Rossler, Cristina E.;  Gomez, Dario R.
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/09
Extreme weather events  Heat waves  Cold waves  Electricity distribution  Power outages  Logistic regression model