{"title":"全球变暖导致的全球温度异常及其变化趋势研究","authors":"Bikash Sadhukhan, S. Mukherjee, R. Samanta","doi":"10.1109/CICN56167.2022.10008329","DOIUrl":null,"url":null,"abstract":"The analysis of global temperature trends at various regional and temporal dimensions has received considerable interest from the scientific community over the past century due to the growing awareness of the effects of climate change on the earth. The objective of this research is to determine and analyse the trend of monthly fluctuations in land and ocean temperatures around the world. This was accomplished by scraping a database maintained by the National Oceanic and Atmospheric Administration (NOAA) for monthly global land and ocean temperature anomaly data between 1881 and 2020. This study uses the Mann-Kendall trend test and Sen's estimator for slope to examine the global impact of climate change by comparing the trends of global land temperature anomalies, global ocean temperature anomalies, and their combined global land and ocean temperature anomaly records. The substantial magnitude of several statistical parameters demonstrates that the temperature anomalies (land, ocean, and combined) have significantly increased during the previous five decades, mostly as a consequence of strong anthropogenic sources. This necessitates the development of a proper action plan to limit global warming and the design of policies to reduce the elements that are likely to have detrimental effects on the climate on a local and global scale.","PeriodicalId":287589,"journal":{"name":"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Study of Global Temperature Anomalies and their Changing Trends due to Global Warming\",\"authors\":\"Bikash Sadhukhan, S. Mukherjee, R. Samanta\",\"doi\":\"10.1109/CICN56167.2022.10008329\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The analysis of global temperature trends at various regional and temporal dimensions has received considerable interest from the scientific community over the past century due to the growing awareness of the effects of climate change on the earth. The objective of this research is to determine and analyse the trend of monthly fluctuations in land and ocean temperatures around the world. This was accomplished by scraping a database maintained by the National Oceanic and Atmospheric Administration (NOAA) for monthly global land and ocean temperature anomaly data between 1881 and 2020. This study uses the Mann-Kendall trend test and Sen's estimator for slope to examine the global impact of climate change by comparing the trends of global land temperature anomalies, global ocean temperature anomalies, and their combined global land and ocean temperature anomaly records. The substantial magnitude of several statistical parameters demonstrates that the temperature anomalies (land, ocean, and combined) have significantly increased during the previous five decades, mostly as a consequence of strong anthropogenic sources. This necessitates the development of a proper action plan to limit global warming and the design of policies to reduce the elements that are likely to have detrimental effects on the climate on a local and global scale.\",\"PeriodicalId\":287589,\"journal\":{\"name\":\"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICN56167.2022.10008329\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN56167.2022.10008329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Study of Global Temperature Anomalies and their Changing Trends due to Global Warming
The analysis of global temperature trends at various regional and temporal dimensions has received considerable interest from the scientific community over the past century due to the growing awareness of the effects of climate change on the earth. The objective of this research is to determine and analyse the trend of monthly fluctuations in land and ocean temperatures around the world. This was accomplished by scraping a database maintained by the National Oceanic and Atmospheric Administration (NOAA) for monthly global land and ocean temperature anomaly data between 1881 and 2020. This study uses the Mann-Kendall trend test and Sen's estimator for slope to examine the global impact of climate change by comparing the trends of global land temperature anomalies, global ocean temperature anomalies, and their combined global land and ocean temperature anomaly records. The substantial magnitude of several statistical parameters demonstrates that the temperature anomalies (land, ocean, and combined) have significantly increased during the previous five decades, mostly as a consequence of strong anthropogenic sources. This necessitates the development of a proper action plan to limit global warming and the design of policies to reduce the elements that are likely to have detrimental effects on the climate on a local and global scale.