A CLIMATIC PREDICTABILITY INDEX FOR SOUTH WEST MONSOON SEASON IN DIFFERENT DISTRICTS OF WEST BENGAL WITH APPLICATION OF FRACTAL DIMENSION ANALYSIS

IF 0.7 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES
MAUSAM Pub Date : 2023-10-01 DOI:10.54302/mausam.v74i4.431
PIJUSH BASAK
{"title":"A CLIMATIC PREDICTABILITY INDEX FOR SOUTH WEST MONSOON SEASON IN DIFFERENT DISTRICTS OF WEST BENGAL WITH APPLICATION OF FRACTAL DIMENSION ANALYSIS","authors":"PIJUSH BASAK","doi":"10.54302/mausam.v74i4.431","DOIUrl":null,"url":null,"abstract":"1. Investigation of the relationship among climatic variables namely, temperature, vapour pressure and rainfall significantly play a predominant role in building model and prediction through modelling in the Himalayan and dooars region along with Gangetic plains but indicates limitations of the efficiency of the model due to complicated geographical topography (Pant et al., 2018: Singh et al., 2016). The statistical variations among climatic variables limit one to point out the relationships among those and are lacking over some of the regions.","PeriodicalId":18363,"journal":{"name":"MAUSAM","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MAUSAM","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54302/mausam.v74i4.431","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

1. Investigation of the relationship among climatic variables namely, temperature, vapour pressure and rainfall significantly play a predominant role in building model and prediction through modelling in the Himalayan and dooars region along with Gangetic plains but indicates limitations of the efficiency of the model due to complicated geographical topography (Pant et al., 2018: Singh et al., 2016). The statistical variations among climatic variables limit one to point out the relationships among those and are lacking over some of the regions.
应用分形维数分析建立西孟加拉邦不同地区西南季风季节的气候可预测性指标
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 求助全文
来源期刊
MAUSAM
MAUSAM 地学-气象与大气科学
CiteScore
1.20
自引率
0.00%
发文量
1298
审稿时长
6-12 weeks
期刊介绍: MAUSAM (Formerly Indian Journal of Meteorology, Hydrology & Geophysics), established in January 1950, is the quarterly research journal brought out by the India Meteorological Department (IMD). MAUSAM is a medium for publication of original scientific research work. MAUSAM is a premier scientific research journal published in this part of the world in the fields of Meteorology, Hydrology & Geophysics. The four issues appear in January, April, July & October.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信