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Data science and climate risk analytics
With influences from different communities, data science has evolved to provide insights in many different data‐driven environments, including climate science. In this article, a brief review of data science and its connection to climate science will be presented. Additionally, two data science pipelines for quantifying risks from climate change are discussed. These pipelines focus on flooding due to tropical cyclone storm surge and changes in the distribution of temperature or precipitation or wind due to climate change via downscaling climate models. Finally, some key data science research areas in climate risk analytics are discussed.
Data science and climate risk analytics
With influences from different communities, data science has evolved to provide insights in many different data‐driven environments, including climate science. In this article, a brief review of data science and its connection to climate science will be presented. Additionally, two data science pipelines for quantifying risks from climate change are discussed. These pipelines focus on flooding due to tropical cyclone storm surge and changes in the distribution of temperature or precipitation or wind due to climate change via downscaling climate models. Finally, some key data science research areas in climate risk analytics are discussed.
Data science and climate risk analytics
Sain, Stephan R. (author)
Environmetrics ; 34
2023-03-01
6 pages
Article (Journal)
Electronic Resource
English
Data Analytics for Engineering and Construction Project Risk Management
UB Braunschweig | 2020
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