从月平均数据中计算累计度日并构建全球地图以用于生态和地理建模的方法

IF 1.4 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Russian Meteorology and Hydrology Pub Date : 2024-05-28 DOI:10.3103/s1068373924030075
A. N. Afonin, E. A. Milyutina, D. L. Musolin
{"title":"从月平均数据中计算累计度日并构建全球地图以用于生态和地理建模的方法","authors":"A. N. Afonin, E. A. Milyutina, D. L. Musolin","doi":"10.3103/s1068373924030075","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>Accumulated degree-days are among the most significant indicators in ecological and geographical modeling of the distribution of biological objects. The present paper analyzes several existing methods for calculating accumulated degree-days, proposes an improved calculation method, and presents a set of the global maps of accumulated degree-days constructed using the improved method. The produced maps are publicly available and can be used for ecological and geographical analysis and modeling.</p>","PeriodicalId":49581,"journal":{"name":"Russian Meteorology and Hydrology","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Methods for Calculating Accumulated Degree-days from Monthly Mean Data and Constructing the Global Maps for Ecological and Geographical Modeling\",\"authors\":\"A. N. Afonin, E. A. Milyutina, D. L. Musolin\",\"doi\":\"10.3103/s1068373924030075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Abstract</h3><p>Accumulated degree-days are among the most significant indicators in ecological and geographical modeling of the distribution of biological objects. The present paper analyzes several existing methods for calculating accumulated degree-days, proposes an improved calculation method, and presents a set of the global maps of accumulated degree-days constructed using the improved method. The produced maps are publicly available and can be used for ecological and geographical analysis and modeling.</p>\",\"PeriodicalId\":49581,\"journal\":{\"name\":\"Russian Meteorology and Hydrology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Russian Meteorology and Hydrology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.3103/s1068373924030075\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Russian Meteorology and Hydrology","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.3103/s1068373924030075","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

摘要

摘要 累积度日是生态和地理建模中生物分布最重要的指标之一。本文分析了现有的几种累计度日计算方法,提出了一种改进的计算方法,并展示了一套用改进方法绘制的全球累计度日分布图。绘制的地图可公开获取,并可用于生态和地理分析及建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
Methods for Calculating Accumulated Degree-days from Monthly Mean Data and Constructing the Global Maps for Ecological and Geographical Modeling

Abstract

Accumulated degree-days are among the most significant indicators in ecological and geographical modeling of the distribution of biological objects. The present paper analyzes several existing methods for calculating accumulated degree-days, proposes an improved calculation method, and presents a set of the global maps of accumulated degree-days constructed using the improved method. The produced maps are publicly available and can be used for ecological and geographical analysis and modeling.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Russian Meteorology and Hydrology
Russian Meteorology and Hydrology METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
1.70
自引率
28.60%
发文量
44
审稿时长
4-8 weeks
期刊介绍: Russian Meteorology and Hydrology is a peer reviewed journal that covers topical issues of hydrometeorological science and practice: methods of forecasting weather and hydrological phenomena, climate monitoring issues, environmental pollution, space hydrometeorology, agrometeorology.
期刊最新文献
Extreme Heat Waves and Extreme Summer Seasons in European Russia Influence of the Summer Changes in Large-scale Atmospheric Circulation on the Vertical Fluxes of Heat and Moisture in Russian Landscape Zones Variational Assimilation of the SMAP Surface Soil Moisture Retrievals into an Integrated Urban Land Model Features of the Thermal Regime of the Middle Atmosphere over Western Siberia from the Data of Many-year Lidar Monitoring Analysis of the Variations in the Lightning Activity of a Hail Process (August 19, 2015, the North Caucasus)
×
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