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Climate Impacts Of Land-use Change In China And Its Uncertainty In A Global Model Simulation

机译:全球土地利用模型模拟对中国土地利用变化的气候影响及其不确定性

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Results from a series of Australian Bureau of Meteorology Research Centre (BMRC) model simulations are analysed to explore the impacts of land-use vegetation change (LUC) in China on surface climate. Extensive model experiments are conducted to explore uncertainties in the modelling results caused by land-surface modelling and the model intrinsic noise. Results show moderate but statistically significant local impacts by LUC, with significantly different surface temperature responses in winter and summer due to two regimes dominating surface energy balance in the region. In winter, the model shows consistent patterns of a reduction of precipitation in its south/ southeast region and a cooling in large parts of the country. The cooling is primarily attributed to the increase in surface albedo while the rainfall reduction is associated with circulation change due to reduced surface roughness. In summer, it reveals moderate impacts with a 10-20% rainfall reduction and above 0.5℃ warming in the south/ southeast region. The warming is largely the results of reductions in surface evaporation and rainfall simulated in the model. Spatially averaged results are analysed so as to explicitly characterise the model uncertainties. Results suggest that the model-simulated impacts of LUC are not significantly affected by complexity in its land-surface parameterisation, with the scatter between the runs using different surface complexity modes similar to that from a set of the model ensemble runs with different initial conditions. This is largely due to the fact that fundamental processes affected by LUC, including changes in surface albedo and roughness length, are similarly represented in these complexity modes, while weak land-air coupling in the model may also contribute to such results. Further analysis shows that the model LUC signal is much larger than its internal noise derived from ensemble runs and detailed analysis of responses in the model physics and dynamics is to be documented in another manuscript.
机译:分析了一系列澳大利亚气象局研究中心(BMRC)模型模拟​​的结果,以探索中国土地利用植被变化(LUC)对地表气候的影响。进行了广泛的模型实验,以探索由地表建模和模型固有噪声引起的建模结果的不确定性。结果表明,LUC对当地的影响中等但在统计学上却很显着,冬季和夏季的地表温度响应明显不同,这是由于该区域的表面能平衡主导着两种机制。在冬季,该模型显示出其南部/东南部地区降水减少和该国大部分地区降温的一致模式。冷却主要归因于地表反照率的增加,而降雨减少与归因于地表粗糙度降低的循环变化有关。夏季,南部/东南部地区受到中等程度的影响,降雨减少了10-20%,变暖超过0.5℃。变暖主要是模型中模拟的地表蒸发和降雨减少的结果。分析空间平均结果,以明确表征模型不确定性。结果表明,LUC模型模拟的影响不受其陆面参数化复杂性的显着影响,运行之间的分散使用不同的表面复杂性模式,类似于一组具有不同初始条件的模型集合运行。这主要是由于以下事实:受LUC影响的基本过程(包括表面反照率和粗糙度长度的变化)在这些复杂度模式中得到了相似的表示,而该模型中的弱陆-空气耦合也可能对此类结果有所贡献。进一步的分析表明,模型LUC信号比其从合奏运行中得出的内部噪声要大得多,并且模型物理学和动力学响应的详细分析将在另一篇论文中进行记录。

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