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The Deep-Time Model Intercomparison Project (DeepMIP)

The Deep-Time Model Intercomparison Project (DeepMIP)
深度时间模型比对项目 (DeepMIP)
批准号:
NE/N006828/1
负责人:
Dan Lunt
金额:
$5.13万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --

项目摘要

项目成果

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中文摘要
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英文摘要
Predictions of future climate, essential for safeguarding society and ecosystems, are underpinned by numerical models of the Earth system. These models are routinely tested against, and in many cases tuned towards, observations of the modern Earth system. However, the model predictions of the climate of the end of this century lie largely outside of this evaluation period, due to the projected future CO2 forcing being significantly greater than that seen in the observational record. Indeed, recent work reconstructing past CO2 has shown that the closest analogues to the 22nd century, in terms of CO2 concentration, are tens of millions of years ago, in 'Deep-Time'. The Palaeoclimate Modelling Intercomparison Project (PMIP) provides a framework (but no funding!) by which the palaeoclimate modelling community assesses state-of-the-art climate models relative to past climate data. Traditionally, PMIP has focussed on the relatively recent mid-Holocene (6,000 years ago) and Last Glacial Maximum (21,000 years ago), but these time periods have even lower CO2 than modern (~280 and ~180 ppmv respectively, c.f. ~400 ppmv for the modern). Recently, PMIP has expanded into other time periods, most notably the mid-Pliocene (3 million years ago), but even then, CO2 was most likely less than modern values (~380 ppmv). The modelling community would clearly benefit from an intercomparison of 'Deep-Time' climates, when CO2 levels were close to those predicted for the end of this century.We will organise and provide funding for 2 workshops, with the aim of producing papers describing the experimental design and outputs from a new climate Model Intercomparison Project - "DeepMIP", focussing on past climates in which atmospheric CO2 concentrations were similar to those projected for the end of this century. The papers will evaluate the models relative to past geological data, and aim to understand the reasons for the model-model differences and model-data (dis)agreements, providing information of relevance to the IPCC.A previous NERC grant, NE/K014757/1, is currently aiming to assess climate sensitivity (the response of surface air temperature to a doubling of atmospheric CO2), through geological time. That project is focussing on many time periods, but with only one model. This IOF will complement that project, and bring added-value, by focussing on one particular time period, but with many models. As such we will address the crucial issue of model-dependence.
期刊论文(6)
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会议论文
The DeepMIP contribution to PMIP4: methodologies for selection, compilation and analysis of latest Paleocene and early Eocene climate proxy data, incorporating version 0.1 of the DeepMIP database
DeepMIP 对 PMIP4 的贡献:最新古新世和早始新世气候代理数据的选择、编译和分析方法,纳入 DeepMIP 数据库 0.1 版
DOI: 10.5194/gmd-2018-309
发表时间: 2019
期刊:
影响因子: --
作者: [Hollis C]
通讯作者: Hollis C
DeepMIP: experimental design for model simulations of the EECO, PETM, and pre-PETM
DeepMIP:EECO、PETM 和 pre-PETM 模型模拟的实验设计
DOI: 10.5194/gmd-2016-127
发表时间: 2016
期刊:
影响因子: --
作者: [Lunt D]
通讯作者: Lunt D
The DeepMIP contribution to PMIP4: experimental design for model simulations of the EECO, PETM, and pre-PETM (version 1.0)
DeepMIP 对 PMIP4 的贡献:EECO、PETM 和 pre-PETM(版本 1.0)模型模拟​​的实验设计
DOI: --
发表时间: 2017
期刊:
影响因子: --
作者: [[]]
通讯作者: []
Global mean surface temperature and climate sensitivity of the EECO, PETM and latest Paleocene
EECO、PETM 和最新古新世的全球平均地表温度和气候敏感性
DOI: 10.5194/cp-2019-167
发表时间: 2020
期刊:
影响因子: --
作者: [Inglis G]
通讯作者: Inglis G
PaleoGradPhan: Paleoclimate meridional and zonal Gradients in the Phanerozoic
  • 批准号:
    NE/X000222/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $81.36万
  • 财政年份:
    2023
  • 负责人:
    Dan Lunt
  • 依托单位:
SWEET:Super-Warm Early Eocene Temperatures and climate: understanding the response of the Earth to high CO2 through integrated modelling and data
  • 批准号:
    NE/P01903X/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $141.4万
  • 财政年份:
    2017
  • 负责人:
    Dan Lunt
  • 依托单位:
Cretaceous-Paleocene-Eocene: Exploring Climate and Climate Sensitivity
  • 批准号:
    NE/K014757/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $36.61万
  • 财政年份:
    2014
  • 负责人:
    Dan Lunt
  • 依托单位:
Testing ice sheet models and modelled estimates of Earth's climate sensitivity using Miocene palaeoclimate data
  • 批准号:
    NE/I006281/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $5.29万
  • 财政年份:
    2011
  • 负责人:
    Dan Lunt
  • 依托单位:
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SERS探针诱导TAM重编程调控头颈鳞癌TIME的研究
  • 批准号:
    82360504
  • 项目类别:
    地区科学基金项目
  • 资助金额:
    32万元
  • 批准年份:
    2023
  • 负责人:
    周学军
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华蟾素调节PCSK9介导的胆固醇代谢重塑TIME增效aPD-L1治疗肝癌的作用机制研究
  • 批准号:
    82305023
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2023
  • 负责人:
    王萌
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基于MRI的机器学习模型预测直肠癌TIME中胶原蛋白水平及其对免疫T细胞调控作用的研究
  • 批准号:
    --
  • 项目类别:
    面上项目
  • 资助金额:
    52万元
  • 批准年份:
    2022
  • 负责人:
    李文政
  • 依托单位:
结直肠癌TIME多模态分子影像分析结合深度学习实现疗效评估和预后预测
  • 批准号:
    62171167
  • 项目类别:
    面上项目
  • 资助金额:
    57万元
  • 批准年份:
    2021
  • 负责人:
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