RAPID Quantitative applications of high-resolution late Holocene proxy data sets: estimating climate sensitivity and thermohaline circulation influences numerical model and observational data
收藏www.data.gov.uk2016-12-19 更新2025-03-25 收录
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https://www.data.gov.uk/dataset/ab7a76bf-731d-4c06-9ce5-364f0381b949/rapid-quantitative-applications-of-high-resolution-late-holocene-proxy-data-sets-estimating-climate-sensitivity-and-thermohaline-circulation-influences-numerical-model-and-observational-data
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This collection contains data from "The Quantitative applications of high-resolution late Holocene proxy data sets: estimating climate sensitivity and thermohaline circulation influences" project, which was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Round 1 - NER/T/S/2002/00440 - Duration 1 Jul 2003 - 30 Jun 2008) led by Prof Keith Briffa of the University of East Anglia, with co-investigators at the University of East Anglia.
This dataset collection contains self-calibrating Palmer Drought Severity Index data.
This project analysed the output from state-of-the-art coupled climate models in conjunction with very long instrumental climate data and an extensive archive of annual- and selected decadal-resolution palaeoclimate data to study climate changes during the past millennium. Actual and model-derived synthetic networks of palaeoclimate data have been used to estimate the extent to which (i) variations in Atlantic meridional overturning circulation strength; (ii) variations in the North Atlantic Oscillation; and (iii) the sensitivity of climate to external forcing changes can be reconstructed from different networks of palaeoclimate data, making assumptions about coverage, seasonality of response and reliability of expressed climate signal.
本数据集收录了来自“高分辨率晚全新世代理数据集的定量应用:估算气候敏感度和热盐环流影响”项目的数据。该项目由东安格利亚大学的Keith Briffa教授领导,并作为自然环境研究委员会(NERC)快速气候变化研究计划项目(第一轮 - NER/T/S/2002/00440 - 持续时间:2003年7月1日至2008年6月30日)展开研究。项目合作调查员包括东安格利亚大学的研究人员。该数据集包含自校准的帕尔默干旱严重指数数据。该项目分析了最先进的耦合气候模型的输出结果,并结合了长期仪器气候数据和丰富的年度及选定十年分辨率的古气候数据档案,以研究过去千年间的气候变化。实际和模型推导的古气候数据合成网络被用于估计从不同的古气候数据网络中重建以下因素的程度:(i) 大西洋经向翻转环流强度变化;(ii) 北大西洋涛动变化;(iii) 气候对外部强迫变化敏感性的重建,同时做出关于覆盖范围、响应季节性和气候信号可靠性的假设。
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