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The Fuzzy Nature of Climate Change Scenarios Maps

机译:气候变化情景的模糊性质地图

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The most important uncertainties present in the global change scenarios are the climate sensibility, represented by the wide variety of GCM's available, and the uncertainty that comes from the different GHG emission scenarios. Starting from a fuzzy climate model constructed with concentrations of GHG, obtained as a result of linear emission pathways, and output temperatures obtained with a deterministic simple climate model (MAGICC) it has been determinate the output fuzzy set of global delta T thresholds such as 1, 2, 3 and 4°C for 2100 and a medium sensibility of 3.0°C/W/m~2. These fuzzy sets are used for assign uncertainties to values of temperature increase and precipitation change percentage taken from a map of regional climate change and for interpret the map in a fuzzy sense. We present some maps of temperature increase and precipitation change percentage for Mexico.
机译:全球变革方案中最重要的不确定性是气候敏感性,由各种各样的GCM提供,以及来自不同的温室气体排放情景的不确定性。 从具有由GHG的浓度构成的模糊气候模型开始,通过线性发射途径获得,并用确定性简单的气候模型(MAGICC)获得的输出温度它已经确定了全局ΔT阈值等输出模糊阈值,例如1 2,3和4℃,2,3和4℃,3.0°C / W / m〜2的中等敏感性。 这些模糊组用于分配从区域气候变化的地图中获得的温度增加和降水变化百分比的不确定性,并以模糊的意义解释地图。 我们展示了墨西哥的一些温度升高和降水变化百分比。

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