A Study of Global Temperature Anomalies and their Changing Trends due to Global Warming

Bikash Sadhukhan, S. Mukherjee, R. Samanta
{"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}
引用次数: 3

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
全球变暖导致的全球温度异常及其变化趋势研究
在过去的一个世纪里,由于人们对气候变化对地球的影响的认识日益加深,在各个区域和时间尺度上对全球温度趋势的分析引起了科学界的极大兴趣。这项研究的目的是确定和分析世界各地陆地和海洋温度每月波动的趋势。这是通过抓取美国国家海洋和大气管理局(NOAA)维护的1881年至2020年间每月全球陆地和海洋温度异常数据的数据库来完成的。本研究采用Mann-Kendall趋势检验和Sen’s斜率估计,通过比较全球陆地温度异常、全球海洋温度异常及其全球陆地和海洋温度综合异常记录的趋势,来检验气候变化的全球影响。几个统计参数的显著幅度表明,在过去50年中,温度异常(陆地、海洋和联合)显著增加,主要是由于强烈的人为来源。这就需要制定一项适当的行动计划来限制全球变暖,并制定政策来减少可能在地方和全球范围内对气候产生有害影响的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Prediction of Downhole Pressure while Tripping A Parallelized Genetic Algorithms approach to Community Energy Systems Planning Application of Artificial Neural Network to Estimate Students Performance in Scholastic Assessment Test A New Intelligent System for Evaluating and Assisting Students in Laboratory Learning Management System Performance Evaluation of Machine Learning Models on Apache Spark: An Empirical Study
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1