首页> 外文期刊>Palaeogeography, Palaeoclimatology, Palaeoecology: An International Journal for the Geo-Sciences >Quantifying Uncertainty in Model Predictions for the Pliocene (Plio-QUMP): Initial results
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Quantifying Uncertainty in Model Predictions for the Pliocene (Plio-QUMP): Initial results

机译:上新世(Plio-QUMP)模型预测中的不确定性量化:初步结果

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Examination of the mid-Pliocene Warm Period (mPWP; ~. 3.3 to 3.0. Ma BP) provides an excellent opportunity to test the ability of climate models to reproduce warm climate states, thereby assessing our confidence in model predictions. To do this it is necessary to relate the uncertainty in model simulations of mPWP climate to uncertainties in projections of future climate change. The uncertainties introduced by the model can be estimated through the use of a Perturbed Physics Ensemble (PPE). Developing on the UK Met Office Quantifying Uncertainty in Model Predictions (QUMP) Project, this paper presents the results from an initial investigation using the end members of a PPE in a fully coupled atmosphere-ocean model (HadCM3) running with appropriate mPWP boundary conditions. Prior work has shown that the unperturbed version of HadCM3 may underestimate mPWP sea surface temperatures at higher latitudes. Initial results indicate that neither the low sensitivity nor the high sensitivity simulations produce unequivocally improved mPWP climatology relative to the standard. Whilst the high sensitivity simulation was able to reconcile up to 6 °C of the data/model mismatch in sea surface temperatures in the high latitudes of the Northern Hemisphere (relative to the standard simulation), it did not produce a better prediction of global vegetation than the standard simulation. Overall the low sensitivity simulation was degraded compared to the standard and high sensitivity simulations in all aspects of the data/model comparison. The results have shown that a PPE has the potential to explore weaknesses in mPWP modelling simulations which have been identified by geological proxies, but that a 'best fit' simulation will more likely come from a full ensemble in which simulations that contain the strengths of the two end member simulations shown here are combined.
机译:上新世中期暖期(mPWP;〜。3.3至3.0。Ma BP)的检验提供了绝佳的机会来测试气候模型再现温暖气候状态的能力,从而评估我们对模型预测的信心。为此,有必要将mPWP气候模型模拟中的不确定性与未来气候变化预测中的不确定性联系起来。该模型引入的不确定性可以通过使用扰动物理集合(PPE)进行估算。本文是在英国气象局模型预测量化不确定性(QUMP)项目的基础上开发的,提出了在具有适当mPWP边界条件的完全耦合的大气-海洋模型(HadCM3)中使用PPE的末端成员进行初步调查的结果。先前的工作表明,HadCM3的正常版本可能会低估高纬度地区的mPWP海面温度。初步结果表明,相对于标准品,低灵敏度和高灵敏度模拟均未产生明显改善的mPWP气候。尽管高灵敏度模拟能够调和高达6°C的北半球高纬度海面温度数据/模型失配(相对于标准模拟),但它并不能更好地预测全球植被比标准模拟。总体而言,在数据/模型比较的所有方面,与标准和高灵敏度仿真相比,低灵敏度仿真的性能有所下降。结果表明,PPE有潜力探索由地质代理人识别出的mPWP建模模拟中的弱点,但是“最佳拟合”模拟将更有可能来自完整的集成,其中包含了PSP的优势。此处显示的两个最终成员模拟是结合在一起的。

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