precipitation patterns
Recently Published Documents


TOTAL DOCUMENTS

398
(FIVE YEARS 109)

H-INDEX

43
(FIVE YEARS 3)

2022 ◽  
Vol 32 (1) ◽  
pp. 013113
Author(s):  
Ankit Agarwal ◽  
Ravi Kumar Guntu ◽  
Abhirup Banerjee ◽  
Mayuri Ashokrao Gadhawe ◽  
Norbert Marwan

2021 ◽  
Author(s):  
Mayuri Gadhawe ◽  
Ravi Guntu ◽  
Abhirup Banerjee ◽  
Norbert Marwan ◽  
Ankit Agarwal

2021 ◽  
Author(s):  
Mayuri Gadhawe ◽  
Ravi Guntu ◽  
Abhirup Banerjee ◽  
Norbert Marwan ◽  
Ankit Agarwal

Author(s):  
Xinjia Hu ◽  
Ming Wang ◽  
Kai Liu ◽  
Daoyi Gong ◽  
Holger Kantz

AbstractEstimation of economic loss is essential for stakeholders to manage flood risk. Most flooding events are closely related to extreme precipitation, which is influenced by large-scale climate factors. Considering the lagged influence of climate factors, we developed a flood-risk assessment framework and used Hunan Province in China as an example to illustrate the risk assessment process. The main patterns of precipitation—as a connection between climate factors and flood economic losses—were extracted by the empirical orthogonal function (EOF) analysis. We identified the correlative climate factors through cross-correlation analysis and established a multiple stepwise linear regression model to forecast future precipitation patterns. Risk assessment was done based on the main precipitation patterns. Because the economic dataset is limited, a Monte Carlo simulation was applied to simulate 1000-year flood loss events under each precipitation regime (rainy, dry, normal years) to obtain aggregate exceedance probability (AEP) and occurrence exceedance probability (OEP) curves. We found that precipitation has a strong influence on economic loss risk, with the highest risk in rainy years. Regional economic development imbalances are the potential reason for the varying economic loss risks in different regions of Hunan Province. As the climate indices with at least several months prediction lead time are strong indicators in predicting precipitation, the framework we developed can estimate economic loss risk several months in advance.


Eos ◽  
2021 ◽  
Vol 102 ◽  
Author(s):  
Korena Howley

Shrinking snowpack, thawing permafrost, and shifting precipitation patterns have widespread consequences. Can new technologies—and public policies—help communities adapt?


Sign in / Sign up

Export Citation Format

Share Document