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Applying probabilistic projections of climate change with impact models: a case study for sub-arctic palsa mires in Fennoscandia

机译:将气候变化的概率预测与影响模型一起应用:以芬诺斯堪的亚北极的帕尔萨沼泽为例

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摘要

A comparison of two approaches for determining probabilistic climate change impacts is presented. In the first approach, ensemble climate projections are applied directly as inputs to an impact model and the risk of impact is computed from the resulting ensemble of outcomes. As this can involve large numbers of projections, the approach may prove to be impractical when applied to complex impact models with demanding input requirements. The second approach is to construct an impact response surface based on a sensitivity analysis of the impact model with respect to changes in key climatic variables, and then to superimpose probabilistic projections of future climate onto the response surface to assess the risk of impact. To illustrate this comparison, an impact model describing the spatial distribution of palsas in Fennoscandia was applied to estimate the risk of palsa disappearance. Palsas are northern mire complexes with permanently frozen peat hummocks, located at the outer limit of the permafrost zone and susceptible to rapid decline due to regional warming. Probabilities of climate changes were derived from an ensemble of coupled atmosphere-ocean general circulation model (AOGCM) projections using a re-sampling method. Results indicated that the response surface approach, though introducing additional uncertainty, gave risk estimates of area decline for palsa suitability that were comparable to those obtained using multiple simulations with the original palsa model. It was estimated as very likely (>90% probability) that a decline of area suitable for palsas to less than half of the baseline distribution will occur by the 2030s and likely (>66%) that all suitable areas will disappear by the end of the twenty-first century under scenarios of medium (A1B) and moderately high (A2) emissions. For a low emissions (B1) scenario, it was more likely than not (>50%) that conditions over a small fraction of the current palsa distribution would remain suitable until the end of the twenty-first century.
机译:介绍了两种确定概率性气候变化影响的方法的比较。在第一种方法中,将整体气候预测直接用作影响模型的输入,并根据结果的整体计算出影响的风险。由于这可能涉及大量的预测,因此当将这种方法应用于具有苛刻输入要求的复杂影响模型时,可能会证明是不切实际的。第二种方法是根据影响模型对关键气候变量变化的敏感性分析来构建影响响应面,然后将未来气候的概率预测叠加到响应面上以评估影响的风险。为了说明这种比较,应用了描述芬奴斯堪迪亚州palsas空间分布的影响模型来估计palsas消失的风险。帕尔萨斯是北部沼泽地带,具有永久冻结的泥炭山岗,位于永久冻土区的外部边界,由于区域变暖而易于迅速下降。气候变化的概率是使用重采样方法从大气-海洋耦合环流模型(AOGCM)耦合预测集合中得出的。结果表明,响应面方法尽管引入了额外的不确定性,但是却得出了与pals适用性相匹配的面积估计的风险估计,该估计值与使用原始palsa模型进行多次模拟获得的估计值相当。据估计,到2030年代极有可能出现(> 90%的概率)适合于掌骨的区域下降到基线分布的一半以下,并且所有适当的区域很可能(> 66%)在20世纪末消失。在中等(A1B)和中等高(A2)排放情景下的二十一世纪。对于低排放(B1)情景,很可能(> 50%)在目前的小苍蝇分布中的一小部分条件将一直适用,直到二十一世纪末。

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