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Temperature Response to Changes in Vegetation Fraction Cover in a Regional Climate Model
Atmosphere ( IF 2.5 ) Pub Date : 2021-05-05 , DOI: 10.3390/atmos12050599
Jose Manuel Jiménez-Gutiérrez , Francisco Valero , Jesús Ruiz-Martínez , Juan Pedro Montávez

Vegetation plays a key role in partitioning energy at the surface. Meteorological and Climate Models, both global and regional, implement vegetation using two parameters, the vegetation fraction and the leaf area index, obtained from satellite data. In most cases, models use average values for a given period. However, the vegetation is subject to strong inter-annual variability. In this work, the sensitivity of the near surface air temperature to changes in the vegetation is analyzed using a regional climate model (RCM) over the Iberian Peninsula. The experiments have been designed in a way that facilitates the physical interpretation of the results. Results show that the temperature sensitivity to vegetation depends on the time of year and the time of day. Minimum temperatures are always lower when vegetation is increased; this is due to the lower availability of heat in the ground due to the reduction of thermal conductivity. Regarding maximum temperatures, the role of increasing vegetation depends on the available moisture in the soil. In the case of hydric stress, the maximum temperatures increase, and otherwise decrease. In general, increasing vegetation will lead to a higher daily temperature range, since the decrease in minimum temperature is always greater than the decrease for maximum temperature. These results show the importance of having a good estimate of the vegetation parameters as well as the implications that vegetation changes due to natural or anthropogenic causes might have in regional climate for present and climate change projections.

中文翻译:

区域气候模型中对植被覆盖率变化的温度响应

植被在分配表面能量方面起着关键作用。全球和区域的气象和气候模型都使用两个参数来实现植被,这两个参数是从卫星数据获得的植被分数和叶面积指数。在大多数情况下,模型使用给定时间段内的平均值。但是,植被的年际变化很大。在这项工作中,使用伊比利亚半岛上的区域气候模型(RCM)分析了近地表气温对植被变化的敏感性。实验的设计方式有助于对结果进行物理解释。结果表明,对植被的温度敏感性取决于一年中的时间和一天中的时间。增加植被时,最低温度总是较低;这是由于热导率降低导致地下热量的可用性降低。关于最高温度,增加植被的作用取决于土壤中可用的水分。在液压应力的情况下,最高温度升高,否则降低。通常,增加植被会导致更高的每日温度范围,因为最低温度的降低始终大于最高温度的降低。这些结果表明,对植被参数进行良好估计的重要性以及对于自然和人为原因造成的植被变化可能对目前和气候变化预测产生的区域气候影响。增加植被的作用取决于土壤中的可用水分。在液压应力的情况下,最高温度升高,否则降低。通常,增加植被会导致更高的每日温度范围,因为最低温度的降低始终大于最高温度的降低。这些结果表明,对植被参数进行良好估计的重要性以及对于自然和人为原因造成的植被变化可能对目前和气候变化预测产生的区域气候影响。增加植被的作用取决于土壤中的可用水分。在液压应力的情况下,最高温度升高,否则降低。通常,增加植被会导致更高的每日温度范围,因为最低温度的降低始终大于最高温度的降低。这些结果表明,对植被参数进行良好估计的重要性以及对于自然和人为原因造成的植被变化可能对目前和气候变化预测产生的区域气候影响。因为最低温度的降低始终大于最高温度的降低。这些结果表明,对植被参数进行良好估计的重要性以及对于自然和人为原因造成的植被变化可能对目前和气候变化预测产生的区域气候影响。因为最低温度的降低始终大于最高温度的降低。这些结果表明,对植被参数进行良好估计的重要性以及对于自然和人为原因造成的植被变化可能对目前和气候变化预测产生的区域气候影响。
更新日期:2021-05-05
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