{"title":"缓解干旱地区气候变化的数据分析与预测","authors":"J. Crabbe","doi":"10.3991/itdaf.v1i1.33357","DOIUrl":null,"url":null,"abstract":"Drylands are zones covering over 40% of the earth’s land surface, where precipitation is balanced by evaporation from surfaces and by transpiration by plants. This short review looks at two key areas where drylands are increasing, the Sahara-Sahel-Arabian Peninsula zone, and the Qinghai-Tibet Plateau in China, and shows ways that data analysis and forecasting in both geoengineering and in genomics techniques may help in understanding and progressing climate change mitigation.","PeriodicalId":222021,"journal":{"name":"IETI Transactions on Data Analysis and Forecasting (iTDAF)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data Analysis and Forecasting to Mitigate Climate Change in Drylands Areas\",\"authors\":\"J. Crabbe\",\"doi\":\"10.3991/itdaf.v1i1.33357\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Drylands are zones covering over 40% of the earth’s land surface, where precipitation is balanced by evaporation from surfaces and by transpiration by plants. This short review looks at two key areas where drylands are increasing, the Sahara-Sahel-Arabian Peninsula zone, and the Qinghai-Tibet Plateau in China, and shows ways that data analysis and forecasting in both geoengineering and in genomics techniques may help in understanding and progressing climate change mitigation.\",\"PeriodicalId\":222021,\"journal\":{\"name\":\"IETI Transactions on Data Analysis and Forecasting (iTDAF)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IETI Transactions on Data Analysis and Forecasting (iTDAF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3991/itdaf.v1i1.33357\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IETI Transactions on Data Analysis and Forecasting (iTDAF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3991/itdaf.v1i1.33357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data Analysis and Forecasting to Mitigate Climate Change in Drylands Areas
Drylands are zones covering over 40% of the earth’s land surface, where precipitation is balanced by evaporation from surfaces and by transpiration by plants. This short review looks at two key areas where drylands are increasing, the Sahara-Sahel-Arabian Peninsula zone, and the Qinghai-Tibet Plateau in China, and shows ways that data analysis and forecasting in both geoengineering and in genomics techniques may help in understanding and progressing climate change mitigation.