Meryl Kruskopf , Lance Gilliland , Brent Roberts , Amanda Markert , William Ashmall , Ashutosh Limaye
{"title":"ClimateServ:一个开源的地球观测气候数据访问工具","authors":"Meryl Kruskopf , Lance Gilliland , Brent Roberts , Amanda Markert , William Ashmall , Ashutosh Limaye","doi":"10.1016/j.envsoft.2025.106709","DOIUrl":null,"url":null,"abstract":"<div><div>SERVIR, a US government program run by NASA, developed ClimateSERV, an application that enables users to visualize, analyze and download climate related datasets that have been curated for water and food security applications. ClimateSERV lowers the barrier for researchers, policymakers, and students to use Earth observation derived climate data to address challenges such as drought, water resources, and crop health. This paper describes the features, architecture, performance, and uses of the application, detailing a case study of ClimateSERV's use in Southeast Asia.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"194 ","pages":"Article 106709"},"PeriodicalIF":4.6000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ClimateServ: An open source earth observation climate data access tool\",\"authors\":\"Meryl Kruskopf , Lance Gilliland , Brent Roberts , Amanda Markert , William Ashmall , Ashutosh Limaye\",\"doi\":\"10.1016/j.envsoft.2025.106709\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>SERVIR, a US government program run by NASA, developed ClimateSERV, an application that enables users to visualize, analyze and download climate related datasets that have been curated for water and food security applications. ClimateSERV lowers the barrier for researchers, policymakers, and students to use Earth observation derived climate data to address challenges such as drought, water resources, and crop health. This paper describes the features, architecture, performance, and uses of the application, detailing a case study of ClimateSERV's use in Southeast Asia.</div></div>\",\"PeriodicalId\":310,\"journal\":{\"name\":\"Environmental Modelling & Software\",\"volume\":\"194 \",\"pages\":\"Article 106709\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Modelling & Software\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1364815225003937\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Modelling & Software","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1364815225003937","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
ClimateServ: An open source earth observation climate data access tool
SERVIR, a US government program run by NASA, developed ClimateSERV, an application that enables users to visualize, analyze and download climate related datasets that have been curated for water and food security applications. ClimateSERV lowers the barrier for researchers, policymakers, and students to use Earth observation derived climate data to address challenges such as drought, water resources, and crop health. This paper describes the features, architecture, performance, and uses of the application, detailing a case study of ClimateSERV's use in Southeast Asia.
期刊介绍:
Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.