欧洲造林的生物地球物理影响:来自LUCAS(土地利用和跨尺度气候)区域气候模式相互比较的初步结果

E. Davin, D. Rechid, M. Breil, R. Cardoso, E. Coppola, P. Hoffmann, L. Jach, E. Katragkou, N. de Noblet‐Ducoudré, K. Radtke, M. Raffa, P. Soares, Giannis Sofiadis, S. Strada, G. Strandberg, M. Tölle, K. Warrach‐Sagi, V. Wulfmeyer
{"title":"欧洲造林的生物地球物理影响:来自LUCAS(土地利用和跨尺度气候)区域气候模式相互比较的初步结果","authors":"E. Davin, D. Rechid, M. Breil, R. Cardoso, E. Coppola, P. Hoffmann, L. Jach, E. Katragkou, N. de Noblet‐Ducoudré, K. Radtke, M. Raffa, P. Soares, Giannis Sofiadis, S. Strada, G. Strandberg, M. Tölle, K. Warrach‐Sagi, V. Wulfmeyer","doi":"10.5194/esd-11-183-2020","DOIUrl":null,"url":null,"abstract":"Abstract. The Land Use and Climate Across Scales Flagship Pilot\nStudy (LUCAS FPS) is a coordinated community effort to improve the\nintegration of land use change (LUC) in regional climate models (RCMs) and\nto quantify the biogeophysical effects of LUC on local to regional climate\nin Europe. In the first phase of LUCAS, nine RCMs are used to explore the\nbiogeophysical impacts of re-/afforestation over Europe: two\nidealized experiments representing respectively a non-forested and a\nmaximally forested Europe are compared in order to quantify spatial and\ntemporal variations in the regional climate sensitivity to forestation. We\nfind some robust features in the simulated response to forestation. In\nparticular, all models indicate a year-round decrease in surface albedo,\nwhich is most pronounced in winter and spring at high latitudes. This\nresults in a winter warming effect, with values ranging from +0.2 to +1 \nK on average over Scandinavia depending on models. However, there are also a\nnumber of strongly diverging responses. For instance, there is no agreement\non the sign of temperature changes in summer with some RCMs predicting a\nwidespread cooling from forestation (well below −2  K in most regions), a\nwidespread warming (around +2  K or above in most regions) or a mixed\nresponse. A large part of the inter-model spread is attributed to the\nrepresentation of land processes. In particular, differences in the\npartitioning of sensible and latent heat are identified as a key source of\nuncertainty in summer. Atmospheric processes, such as changes in incoming\nradiation due to cloud cover feedbacks, also influence the simulated\nresponse in most seasons. In conclusion, the multi-model approach we use\nhere has the potential to deliver more robust and reliable information to\nstakeholders involved in land use planning, as compared to results based on\nsingle models. However, given the contradictory responses identified, our\nresults also show that there are still fundamental uncertainties that need\nto be tackled to better anticipate the possible intended or unintended\nconsequences of LUC on regional climates.","PeriodicalId":11466,"journal":{"name":"Earth System Dynamics Discussions","volume":"69 1","pages":"183-200"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"59","resultStr":"{\"title\":\"Biogeophysical impacts of forestation in Europe: first results from the LUCAS (Land Use and Climate Across Scales) regional climate model intercomparison\",\"authors\":\"E. Davin, D. Rechid, M. Breil, R. Cardoso, E. Coppola, P. Hoffmann, L. Jach, E. Katragkou, N. de Noblet‐Ducoudré, K. Radtke, M. Raffa, P. Soares, Giannis Sofiadis, S. Strada, G. Strandberg, M. Tölle, K. Warrach‐Sagi, V. Wulfmeyer\",\"doi\":\"10.5194/esd-11-183-2020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. The Land Use and Climate Across Scales Flagship Pilot\\nStudy (LUCAS FPS) is a coordinated community effort to improve the\\nintegration of land use change (LUC) in regional climate models (RCMs) and\\nto quantify the biogeophysical effects of LUC on local to regional climate\\nin Europe. In the first phase of LUCAS, nine RCMs are used to explore the\\nbiogeophysical impacts of re-/afforestation over Europe: two\\nidealized experiments representing respectively a non-forested and a\\nmaximally forested Europe are compared in order to quantify spatial and\\ntemporal variations in the regional climate sensitivity to forestation. We\\nfind some robust features in the simulated response to forestation. In\\nparticular, all models indicate a year-round decrease in surface albedo,\\nwhich is most pronounced in winter and spring at high latitudes. This\\nresults in a winter warming effect, with values ranging from +0.2 to +1 \\nK on average over Scandinavia depending on models. However, there are also a\\nnumber of strongly diverging responses. For instance, there is no agreement\\non the sign of temperature changes in summer with some RCMs predicting a\\nwidespread cooling from forestation (well below −2  K in most regions), a\\nwidespread warming (around +2  K or above in most regions) or a mixed\\nresponse. A large part of the inter-model spread is attributed to the\\nrepresentation of land processes. In particular, differences in the\\npartitioning of sensible and latent heat are identified as a key source of\\nuncertainty in summer. Atmospheric processes, such as changes in incoming\\nradiation due to cloud cover feedbacks, also influence the simulated\\nresponse in most seasons. In conclusion, the multi-model approach we use\\nhere has the potential to deliver more robust and reliable information to\\nstakeholders involved in land use planning, as compared to results based on\\nsingle models. However, given the contradictory responses identified, our\\nresults also show that there are still fundamental uncertainties that need\\nto be tackled to better anticipate the possible intended or unintended\\nconsequences of LUC on regional climates.\",\"PeriodicalId\":11466,\"journal\":{\"name\":\"Earth System Dynamics Discussions\",\"volume\":\"69 1\",\"pages\":\"183-200\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"59\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Earth System Dynamics Discussions\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5194/esd-11-183-2020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earth System Dynamics Discussions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/esd-11-183-2020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 59

摘要

摘要跨尺度土地利用和气候旗舰试点研究(LUCAS FPS)是一项协调的社区努力,旨在改善区域气候模式(RCMs)中土地利用变化(LUC)的整合,并量化LUC对欧洲地方至区域气候的生物地球物理效应。在LUCAS的第一阶段,使用9个rcm来探索欧洲重新造林/造林的生物地球物理影响:为了量化造林区域气候敏感性的时空变化,比较了两个理想化的实验,分别代表了无森林和最大森林的欧洲。我们在模拟的造林响应中发现了一些稳健的特征。特别是,所有模式都表明地表反照率全年都在下降,这在高纬度地区的冬季和春季最为明显。这就导致了冬季变暖效应,斯堪的纳维亚半岛的平均值在+0.2到+1 K之间,取决于不同的模式。然而,也有许多截然不同的反应。例如,对于夏季温度变化的迹象,一些rcm预测造林导致大面积降温(在大多数地区远低于- 2摄氏度)、大面积变暖(在大多数地区约为+2摄氏度或以上)或混合响应的情况没有达成一致意见。模式间扩展的很大一部分归因于陆地过程的表现。特别是,感热和潜热分配的差异被认为是夏季不确定性的关键来源。大气过程,如由于云量反馈而引起的入渗变化,也影响大多数季节的模拟响应。总之,与基于单一模型的结果相比,我们在这里使用的多模型方法有可能为参与土地利用规划的利益相关者提供更强大、更可靠的信息。然而,鉴于所确定的相互矛盾的响应,我们的结果还表明,为了更好地预测LUC对区域气候可能产生的有意或无意的后果,仍然需要解决基本的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biogeophysical impacts of forestation in Europe: first results from the LUCAS (Land Use and Climate Across Scales) regional climate model intercomparison
Abstract. The Land Use and Climate Across Scales Flagship Pilot Study (LUCAS FPS) is a coordinated community effort to improve the integration of land use change (LUC) in regional climate models (RCMs) and to quantify the biogeophysical effects of LUC on local to regional climate in Europe. In the first phase of LUCAS, nine RCMs are used to explore the biogeophysical impacts of re-/afforestation over Europe: two idealized experiments representing respectively a non-forested and a maximally forested Europe are compared in order to quantify spatial and temporal variations in the regional climate sensitivity to forestation. We find some robust features in the simulated response to forestation. In particular, all models indicate a year-round decrease in surface albedo, which is most pronounced in winter and spring at high latitudes. This results in a winter warming effect, with values ranging from +0.2 to +1 K on average over Scandinavia depending on models. However, there are also a number of strongly diverging responses. For instance, there is no agreement on the sign of temperature changes in summer with some RCMs predicting a widespread cooling from forestation (well below −2  K in most regions), a widespread warming (around +2  K or above in most regions) or a mixed response. A large part of the inter-model spread is attributed to the representation of land processes. In particular, differences in the partitioning of sensible and latent heat are identified as a key source of uncertainty in summer. Atmospheric processes, such as changes in incoming radiation due to cloud cover feedbacks, also influence the simulated response in most seasons. In conclusion, the multi-model approach we use here has the potential to deliver more robust and reliable information to stakeholders involved in land use planning, as compared to results based on single models. However, given the contradictory responses identified, our results also show that there are still fundamental uncertainties that need to be tackled to better anticipate the possible intended or unintended consequences of LUC on regional climates.
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
自引率
0.00%
发文量
0
×
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