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首页> 外文OA文献 >Microclimate modelling at macro scales: a test of a general microclimate model integrated with gridded continental-scale soil and weather data
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Microclimate modelling at macro scales: a test of a general microclimate model integrated with gridded continental-scale soil and weather data

机译：宏观尺度上的小气候建模：与网格大陆尺度土壤和天气数据相结合的一般小气候模型的测试

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The microclimate experienced by organisms is determined by local weather conditions. Yet the environmental data available for predicting the effect of climate on the distribution and abundance of organisms are typically in the form of long-term average monthly climate measured at standardized heights above the ground.Here, we demonstrate how hourly microclimates can be modelled mechanistically over decades at the continental scale with biologically suitable accuracy.We extend the microclimate model of the software package niche mapper to capture spatial and temporal variation in soil thermal properties and integrate it with gridded soil and weather data for Australia at 0 center dot 05 degrees resolution.When tested against historical observations of soil temperature, the microclimate model predicted 85% of the variation in hourly soil temperature across 10years from the surface to 1m deep with an accuracy of 2-3 center dot 3 degrees C (c. 10% of the temperature range at a given depth) across an extremely climatically diverse range of sites.This capacity to accurately and mechanistically predict hourly local microclimates across continental scales creates new opportunities for understanding how organisms respond to changes in climate.
机译：有机体所经历的微气候取决于当地的天气状况。然而，可用于预测气候对生物体分布和丰富度影响的环境数据通常以长期平均每月气候的形式在地面以上的标准高度处测量。在这里，我们展示了如何用机械方法模拟每小时的小气候我们扩展了生态位制图仪的微气候模型，以捕获土壤热特性的时空变化，并将其与澳大利亚的0中心点05度分辨率的栅格化土壤和天气数据相集成。当根据土壤温度的历史观测值进行测试时，微气候模型预测了从地表到1m深的10年间每小时土壤温度的85％变化，其精度为2-3个中心点3摄氏度（温度的10％）。在给定的深度范围内）跨气候极为不同的站点范围。以机械方式预测整个大陆范围内每小时的局部微气候为了解生物体对气候变化的响应提供了新的机会。

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