研究 HighResMIP 在捕捉巴基斯坦历史和未来平均降水量变化方面的技能

IF 3.5 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES International Journal of Climatology Pub Date : 2024-07-11 DOI:10.1002/joc.8558
Kanzul Eman, Eun-Sung Chung, Brian Odhiambo Ayugi
{"title":"研究 HighResMIP 在捕捉巴基斯坦历史和未来平均降水量变化方面的技能","authors":"Kanzul Eman,&nbsp;Eun-Sung Chung,&nbsp;Brian Odhiambo Ayugi","doi":"10.1002/joc.8558","DOIUrl":null,"url":null,"abstract":"<p>Climatic change over the globe due to global warming affects the characteristics of climate variables that have critical implications on large fraction of population that depends on agriculture for livelihood like Pakistan. Consequently, this study examined how high horizontal grid resolution CMIP6 models simulate the observed precipitation variability during 1981–2014 and further explored the future changes during 2017–2050 under high emission scenario SSP5-8.5 over Pakistan region. The performances of 12 (CMIP6) High Resolution Model Inter-comparison Project version 1.0 (hereafter; HighResMIP) GCMs and their ensemble means in reproducing the observed climate were calculated at each station in the study domain and formed the basis for deriving HighResMIP ranking. Further, the study employed Shannon's Entropy and a modified version of Criteria Importance through Inter-Criteria Correlation (D-CRITIC) method to build an ensemble mean from the best performing models. Evaluation of HighResMIP GCMs performance revealed that most models showed mixed signals in the region, with fewer models such as HadGEM3-GC31-HH, HadGEM3-GC31-HM and HadGEM3-GC31-MM showing good agreement with the observed precipitation. Overall, HighResMIP multi-model ensemble outperforms precipitation distribution over individual models. D-CRITIC based ensemble mean implies higher increase in precipitation than entropy approach. Future changes depict an increase in mean annual in the northern region relative to the historical period. A pronounced increase of about 16%–18% in precipitation was noted in HadGEM3-GC31-HH and HiRAM-SIT-HR. Conversely, FGOAL-f3-H project noteworthy reduction (21%) in precipitation in the near future (2017–2050). The projected seasonal precipitation shows upsurge pattern of 5%–28% in pre-monsoon season, whereas the reduction in monsoon precipitation is projected to be 29%–40%. The findings of this study can help in building future climate resilience and developing strategic policies in Pakistan.</p>","PeriodicalId":13779,"journal":{"name":"International Journal of Climatology","volume":"44 11","pages":"3888-3911"},"PeriodicalIF":3.5000,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joc.8558","citationCount":"0","resultStr":"{\"title\":\"Investigating the skills of HighResMIP in capturing historical and future mean precipitation shifts over Pakistan\",\"authors\":\"Kanzul Eman,&nbsp;Eun-Sung Chung,&nbsp;Brian Odhiambo Ayugi\",\"doi\":\"10.1002/joc.8558\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Climatic change over the globe due to global warming affects the characteristics of climate variables that have critical implications on large fraction of population that depends on agriculture for livelihood like Pakistan. Consequently, this study examined how high horizontal grid resolution CMIP6 models simulate the observed precipitation variability during 1981–2014 and further explored the future changes during 2017–2050 under high emission scenario SSP5-8.5 over Pakistan region. The performances of 12 (CMIP6) High Resolution Model Inter-comparison Project version 1.0 (hereafter; HighResMIP) GCMs and their ensemble means in reproducing the observed climate were calculated at each station in the study domain and formed the basis for deriving HighResMIP ranking. Further, the study employed Shannon's Entropy and a modified version of Criteria Importance through Inter-Criteria Correlation (D-CRITIC) method to build an ensemble mean from the best performing models. Evaluation of HighResMIP GCMs performance revealed that most models showed mixed signals in the region, with fewer models such as HadGEM3-GC31-HH, HadGEM3-GC31-HM and HadGEM3-GC31-MM showing good agreement with the observed precipitation. Overall, HighResMIP multi-model ensemble outperforms precipitation distribution over individual models. D-CRITIC based ensemble mean implies higher increase in precipitation than entropy approach. Future changes depict an increase in mean annual in the northern region relative to the historical period. A pronounced increase of about 16%–18% in precipitation was noted in HadGEM3-GC31-HH and HiRAM-SIT-HR. Conversely, FGOAL-f3-H project noteworthy reduction (21%) in precipitation in the near future (2017–2050). The projected seasonal precipitation shows upsurge pattern of 5%–28% in pre-monsoon season, whereas the reduction in monsoon precipitation is projected to be 29%–40%. The findings of this study can help in building future climate resilience and developing strategic policies in Pakistan.</p>\",\"PeriodicalId\":13779,\"journal\":{\"name\":\"International Journal of Climatology\",\"volume\":\"44 11\",\"pages\":\"3888-3911\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joc.8558\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Climatology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/joc.8558\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Climatology","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/joc.8558","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

全球变暖导致的全球气候变化会影响气候变量的特征,这对巴基斯坦等以农业为生的大部分人口有着至关重要的影响。因此,本研究考察了高水平网格分辨率 CMIP6 模型如何模拟 1981-2014 年期间观测到的降水变化,并进一步探讨了巴基斯坦地区在高排放情景 SSP5-8.5 下 2017-2050 年期间的未来变化。在研究区域的每个站点计算了 12 个(CMIP6)高分辨率模式相互比较项目 1.0 版(以下简称 HighResMIP)GCM 及其集合平均值在再现观测气候方面的表现,并以此为基础得出 HighResMIP 排名。此外,该研究还采用了香农熵和标准重要性与标准间相关性(D-CRITIC)方法的改进版,从表现最佳的模型中得出集合平均值。对 HighResMIP GCMs 性能的评估表明,大多数模式在该地区的表现参差不齐,HadGEM3-GC31-HH、HadGEM3-GC31-HM 和 HadGEM3-GC31-MM 等少数模式与观测降水量的吻合度较高。总体而言,HighResMIP 多模式集合的降水分布优于单个模式。与熵方法相比,基于 D-CRITIC 的集合平均值意味着降水量增加更多。与历史同期相比,未来的变化表明北部地区的年平均降水量有所增加。HadGEM3-GC31-HH 和 HiRAM-SIT-HR 的降水量明显增加了约 16%-18%。相反,FGOAL-f3-H 预测在不久的将来(2017-2050 年)降水量将显著减少(21%)。季节性降水量预测显示,季风前期降水量将增加 5%-28%,而季风降水量预计将减少 29%-40%。这项研究的结果有助于巴基斯坦未来气候适应能力的建设和战略政策的制定。
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
Investigating the skills of HighResMIP in capturing historical and future mean precipitation shifts over Pakistan

Climatic change over the globe due to global warming affects the characteristics of climate variables that have critical implications on large fraction of population that depends on agriculture for livelihood like Pakistan. Consequently, this study examined how high horizontal grid resolution CMIP6 models simulate the observed precipitation variability during 1981–2014 and further explored the future changes during 2017–2050 under high emission scenario SSP5-8.5 over Pakistan region. The performances of 12 (CMIP6) High Resolution Model Inter-comparison Project version 1.0 (hereafter; HighResMIP) GCMs and their ensemble means in reproducing the observed climate were calculated at each station in the study domain and formed the basis for deriving HighResMIP ranking. Further, the study employed Shannon's Entropy and a modified version of Criteria Importance through Inter-Criteria Correlation (D-CRITIC) method to build an ensemble mean from the best performing models. Evaluation of HighResMIP GCMs performance revealed that most models showed mixed signals in the region, with fewer models such as HadGEM3-GC31-HH, HadGEM3-GC31-HM and HadGEM3-GC31-MM showing good agreement with the observed precipitation. Overall, HighResMIP multi-model ensemble outperforms precipitation distribution over individual models. D-CRITIC based ensemble mean implies higher increase in precipitation than entropy approach. Future changes depict an increase in mean annual in the northern region relative to the historical period. A pronounced increase of about 16%–18% in precipitation was noted in HadGEM3-GC31-HH and HiRAM-SIT-HR. Conversely, FGOAL-f3-H project noteworthy reduction (21%) in precipitation in the near future (2017–2050). The projected seasonal precipitation shows upsurge pattern of 5%–28% in pre-monsoon season, whereas the reduction in monsoon precipitation is projected to be 29%–40%. The findings of this study can help in building future climate resilience and developing strategic policies in Pakistan.

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
International Journal of Climatology
International Journal of Climatology 地学-气象与大气科学
CiteScore
7.50
自引率
7.70%
发文量
417
审稿时长
4 months
期刊介绍: The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions
期刊最新文献
Issue Information Issue Information Hydrologic Responses to Climate Change and Implications for Reservoirs in the Source Region of the Yangtze River Tropical cyclone landfalls in the Northwest Pacific under global warming Evaluation and projection of changes in temperature and precipitation over Northwest China based on CMIP6 models
×
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