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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >The Influence of Wind and Topography on Precipitation Distribution in Sweden: Statistical Analysis and Modelling
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The Influence of Wind and Topography on Precipitation Distribution in Sweden: Statistical Analysis and Modelling

机译:风和地形对瑞典降水分布的影响:统计分析和建模

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To estimate daily catchment precipitation from point observations there is a need to understand the spatial pattern particularly in mountainous regions. One of the most important processes occurring there is orographic enhancement, which is affected by, among other things, wind speed and wind direction. The objective of this paper was to investigate whether the relationship between precipitation, airflow and topography could be described by statistical relationships using data easily available in an operational environment. The purpose was to establish a statistical model to describe basic patterns of precipitation distribution. This model, if successful, can be used to account for the topographical influence in precipitation interpolation schemes. A statistical analysis was carried out to define the most relevant variables, and, based on that analysis, a regression model was established through stepwise regression. Some 15 years of precipitation data from 370 stations in Sweden were used for the analysis. The geostrophic wind, computed from pressure observations, was assumed to represent the airflow at the relevant altitude. Precipitation data for each station were divided into 48 classes representing different wind directions and wind speeds. Among the variables selected, the single most important one was found to be the location of a station with respect to a mountain range. On the upwind side, precipitation increased with increasing wind speed. On the leeward side there was less variation in precipitation, and wind speed did not affect the precipitation amounts to the same degree. For ascending air, slope multiplied by wind speed was another important factor. The effect of slope was enhanced close to the coast, and reduced for mountain valleys with upwind barriers. The stepwise procedure led to a regression model that also included the meridional and zonal wind components. Their inclusion might indicate the importance of air mass characteristics not explicitly accounted for.
机译:为了通过点观测来估计每日集水量,需要了解空间格局,尤其是在山区。地形增强是其中发生的最重要过程之一,它受风速和风向等因素的影响。本文的目的是研究使用操作环境中容易获得的数据通过统计关系来描述降水,气流和地形之间的关系。目的是建立一个描述降水分布基本模式的统计模型。如果成功,该模型可用于解释降水插值方案中的地形影响。进行了统计分析以定义最相关的变量,并基于该分析通过逐步回归建立了回归模型。分析使用了来自瑞典370个站点的大约15年的降水数据。假定通过压力观测计算得出的地转风代表了相关高度的气流。每个站点的降水数据分为48个类别,分别代表不同的风向和风速。在选择的变量中,发现最重要的一个是相对于山脉的站点位置。在上风侧,降水随风速增加而增加。在背风侧,降水变化较小,风速对降水量的影响程度相同。对于上升的空气,坡度乘以风速是另一个重要因素。在靠近海岸的地方,斜坡的影响增强了,而在有逆风屏障的山谷中,斜坡的影响减小了。逐步过程导致了回归模型,该模型还包括子午和纬向风分量。将其包括在内可能表明未明确说明的空气质量特征的重要性。

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