Review of Floods in a Changing Climate: Extreme Precipitation by Ramesh S. V. TeegavarapuCambridge University Press, New York; 2013; ISBN 978-1-107-01878-5; 285 pp., $120.00.

2014 ◽  
Vol 19 (9) ◽  
pp. 07514002
Author(s):  
C. Prakash Khedun ◽  
Vijay P. Singh
Keyword(s):  
New York ◽  
Extreme Precipitation ◽  
Climate Extreme ◽  
Changing Climate

Impacts of Heat and Ozone on Mortality Risk in the New York City Metropolitan Region Under a Changing Climate

2008 ◽  
pp. 143-160 ◽  
Author(s):  
Kim Knowlton ◽  
Christian Hogrefe ◽  
Barry Lynn ◽  
Cynthia Rosenzweig ◽  
Joyce Rosenthal ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Mortality Risk ◽  
York City ◽  
Metropolitan Region ◽  
Changing Climate

scholarly journals Trend of Extreme Precipitation over Sumatera Island for 1981-2010

Agromet ◽  
2019 ◽  
Vol 33 (1) ◽  
pp. 41-51
Author(s):  
. Misnawati ◽  
Mega Perdanawanti
Keyword(s):  
Extreme Precipitation ◽  
Ecosystem Health ◽  
The Other ◽  
Economic Losses ◽  
Positive Trend ◽  
Climate Extreme ◽  
Precipitation Data ◽  
Extreme Precipitation Indices ◽  
Precipitation Indices ◽  
Climate Events

Extreme climate events have significant impacts on various sectors such as agriculture, ecosystem, health and energy. The issue would lead to economic losses as well as social problems. This study aims to investigate the trend of extreme precipitation in Sumatera Island based on observed data during 30-year period, 1981–2010. There are ten indices of climate extreme as defined by ETCCDMI, which were tested in this study, including PRCPTOT, SDII, CDD, CWD, R10, R50, R95p, R99p, Rx1day and Rx5day. Then, the trend was analyzed based on the Mann-Kendall statistic, performed on the time series of precipitation data. The result shows that there was positive trend of extreme precipitation found in most stations over Sumatera, either statistically significant or insignificant. In each extreme precipitation indices, the number of observed stations indicating the insignificant change is higher than the significant one. This research also found that some indices including SDII, Rx1day, R50, R95p and R99p, showed a significantly-positive trend followed by a higher intensity of wetter and heavier events of extreme precipitation over Sumatera. On the other hand, the wet spell (CWD) index shows a negative trend (α=0.05).

scholarly journals Wind disasters adaptation in cities in a changing climate: A systematic review

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248503
Author(s):  
Yue He ◽  
Boqun Wu ◽  
Pan He ◽  
Weiyi Gu ◽  
Beibei Liu
Keyword(s):  
Climate Change ◽  
New York ◽  
New York City ◽  
York City ◽  
Latent Dirichlet Allocation ◽  
Hurricane Sandy ◽  
Health Impacts ◽  
Damage Evaluation ◽  
Adaptation Measures ◽  
Changing Climate

Wind-related disasters will bring more devastating consequences to cities in the future with a changing climate, but relevant studies have so far provided insufficient information to guide adaptation actions. This study aims to provide an in-depth elaboration of the contents discussed in open access literature regarding wind disaster adaptation in cities. We used the Latent Dirichlet Allocation (LDA) to refine topics and main contents based on 232 publications (1900 to 2019) extracted from Web of Science and Scopus. We conducted a full-text analysis to filter out focal cities along with their adaptation measures. The results show that wind disaster adaptation research in cities has formed a systematic framework in four aspects: 1) vulnerability and resilience of cities, 2) damage evaluation, 3) response and recovery, and 4) health impacts of wind disaster. Climate change is the background for many articles discussing vulnerability and adaptation in coastal areas. It is also embedded in damage evaluation since it has the potential to exacerbate disaster consequences. The literature is strongly inclined towards more developed cities such as New York City and New Orleans, among which New York City associated with Hurricane Sandy ranks first (38/232). Studies on New York City cover all the aspects, including the health impacts of wind disasters which are significantly less studied now. Distinct differences do exist in the number of measures regarding the adaptation categories and their subcategories. We also find that hard adaptation measures (i.e., structural and physical measures) are far more popular than soft adaptation measures (i.e., social and institutional measures). Our findings suggest that policymakers should pay more attention to cities that have experienced major wind disasters other than New York. They should embrace the up-to-date climate change study to defend short-term disasters and take precautions against long-term changes. They should also develop hard-soft hybrid adaptation measures, with special attention on the soft side, and enhance the health impact study of wind-related disasters.

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