{"title":"气候风险分析","authors":"Steve Sain","doi":"10.1080/09332480.2023.2179270","DOIUrl":null,"url":null,"abstract":"Abstract With the increasing recognition of the impacts and growing costs due to climate change, there is a growing demand for actionable assessments of climate risk from business, industry, and governments. The assessment of climate risk is at the heart of climate risk analytics, and these assessments can be used in a variety of use cases. This article explores the use cases such as the impact of extreme weather events and regulatory response and disclosure. The paper also explores the critical impact of the statistical sciences on climate analytics as a growing field and discusses the opportunities for statisticians and data scientists.","PeriodicalId":88226,"journal":{"name":"Chance (New York, N.Y.)","volume":"50 1","pages":"17 - 22"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Climate Risk Analytics\",\"authors\":\"Steve Sain\",\"doi\":\"10.1080/09332480.2023.2179270\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract With the increasing recognition of the impacts and growing costs due to climate change, there is a growing demand for actionable assessments of climate risk from business, industry, and governments. The assessment of climate risk is at the heart of climate risk analytics, and these assessments can be used in a variety of use cases. This article explores the use cases such as the impact of extreme weather events and regulatory response and disclosure. The paper also explores the critical impact of the statistical sciences on climate analytics as a growing field and discusses the opportunities for statisticians and data scientists.\",\"PeriodicalId\":88226,\"journal\":{\"name\":\"Chance (New York, N.Y.)\",\"volume\":\"50 1\",\"pages\":\"17 - 22\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chance (New York, N.Y.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/09332480.2023.2179270\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chance (New York, N.Y.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09332480.2023.2179270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Abstract With the increasing recognition of the impacts and growing costs due to climate change, there is a growing demand for actionable assessments of climate risk from business, industry, and governments. The assessment of climate risk is at the heart of climate risk analytics, and these assessments can be used in a variety of use cases. This article explores the use cases such as the impact of extreme weather events and regulatory response and disclosure. The paper also explores the critical impact of the statistical sciences on climate analytics as a growing field and discusses the opportunities for statisticians and data scientists.