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首页> 外文会议>Remote Sensing for Agriculture, Ecosystems, and Hydrology >Snow evolution in Sierra Nevada (Spain) from an energy balance model validated with Landsat TM data
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Snow evolution in Sierra Nevada (Spain) from an energy balance model validated with Landsat TM data

机译：来自山脉内华达（西班牙）的雪进化来自验证Landsat TM数据的能量平衡模型

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Sierra Nevada Mountains are the highest continental altitude in Spain. Located in the South, facing the Mediterranean Sea in a distance of less than 40 km, the high level of solar energy income throughout the year, together with the extremely variable character of climate in such latitudes, make it necessary to use energy balance approaches to characterize the snow cover evolution. Wind and relative humidity become decisive factors in the evolution of the snow cover due to the high evaporation rates that can arise under favourable meteorological conditions. This work presents the enhanced capability of the combination of Landsat TM data with the simulation of an energy balance model to produce sequences of hourly high resolution maps of snow cover and depth distribution under variable meteorological conditions such as those found in Mediterranean mountainous watersheds. Despite the good agreement found between observed and predicted snow pixels, different examples of disagreement arose in the boundaries, most of them related to the temperature and wind speed spatial pattern simulation together with the discrimination between rain and snowfall occurrence.
机译：塞拉尼达山脉是西班牙的最高的大陆高度。位于南方，面向地中海，距离距离不到40公里，全年高水平的太阳能收入，以及这种纬度的气候的极端变性，使得有必要使用能量平衡方法表征雪覆盖的演变。由于在有利的气象条件下可能出现的高蒸发速率，风和相对湿度成为雪覆盖的演化中的决定性因素。该工作提高了LANDSAT TM数据的组合能力与能量平衡模型的模拟，以在可变气象条件下产生雪覆盖和深度分布的每小时高分辨率映射序列，如地中海流域中的那些。尽管观察到和预测的雪像素之间存在良好的一致性，但在界限中出现不同的分歧示例，其中大多数与温度和风速空间模式模拟以及雨与降雪之间的歧视相关。

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