Spatial analysis of relative humidity during ungauged periods in a mountainous region

Um Myoung-Jin; Kim Yeonjoo

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Spatial analysis of relative humidity during ungauged periods in a mountainous region

机译：山区未灌水期相对湿度的空间分析

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Although atmospheric humidity influences environmental and agricultural conditions, thereby influencing plant growth, human health, and air pollution, efforts to develop spatial maps of atmospheric humidity using statistical approaches have thus far been limited. This study therefore aims to develop statistical approaches for inferring the spatial distribution of relative humidity (RH) for a mountainous island, for which data are not uniformly available across the region. A multiple regression analysis based on various mathematical models was used to identify the optimal model for estimating monthly RH by incorporating not only temperature but also location and elevation. Based on the regression analysis, we extended the monthly RH data from weather stations to cover the ungauged periods when no RH observations were available. Then, two different types of station-based data, the observational data and the data extended via the regression model, were used to form grid-based data with a resolution of 100 m. The grid-based data that used the extended station-based data captured the increasing RH trend along an elevation gradient. Furthermore, annual RH values averaged over the regions were examined. Decreasing temporal trends were found in most cases, with magnitudes varying based on the season and region.

机译：尽管大气湿度会影响环境和农业条件，从而影响植物的生长，人类健康和空气污染，但迄今为止，使用统计方法开发大气湿度的空间图的努力一直受到限制。因此，本研究旨在开发一种统计方法，以推断山区岛屿的相对湿度（RH）的空间分布，因为该数据在整个地区都无法统一获得。基于各种数学模型的多元回归分析被用来通过结合温度以及位置和海拔来确定估计每月RH的最佳模型。基于回归分析，我们扩展了气象站的每月RH数据，以涵盖没有可用RH观测值的未开放时期。然后，使用两种不同类型的基于站点的数据（观测数据和通过回归模型扩展的数据）来形成分辨率为100 m的基于网格的数据。使用扩展的基于站点的数据的基于网格的数据捕获了沿海拔梯度增加的RH趋势。此外，检查了该地区的年平均RH值。在大多数情况下，发现时间趋势在减少，幅度随季节和地区而变化。

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《Theoretical and applied climatology》 |2017年第4期|1157-1166|共10页
作者
Um Myoung-Jin; Kim Yeonjoo;
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Yonsei Univ, Dept Civil & Environm Engn, 50 Yonsei Ro, Seoul 120749, South Korea;

Yonsei Univ, Dept Civil & Environm Engn, 50 Yonsei Ro, Seoul 120749, South Korea;

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Spatial analysis of relative humidity during ungauged periods in a mountainous region

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