Distance in spatial interpolation of daily rain gauge data
نویسنده
چکیده
Spatial interpolation of rain gauge data is important in forcing of hydrological simulations or evaluation of weather predictions, for example. This paper investigates the application of statistical distance, like one minus common variance of observation time series, between data sites instead of geographical distance in interpolation. Here, as a typical representative of interpolation methods the inverse distance weighting interpolation is applied and the test data is daily precipitation observed in Austria. Choosing statistical distance instead of geographical distance in interpolation of available coarse network observations to sites of a denser network, which is not reporting for the interpolation date, yields more robust interpolation results. The most distinct performance enhancement is in or close to mountainous terrain. Therefore, application of statistical distance in the inverse distance weighting interpolation or in similar methods can parsimoniously densify the currently available observation network. Additionally, the success further motivates search for conceptual rain–orography interaction models as components of spatial rain interpolation algorithms in mountainous terrain.
منابع مشابه
Rain Gauge Station Network Design for Hormozgan Province in Iran
A rain gauge network should serve general as well as specific purposes such as water supply, hydropowergeneration, flood forecasting, irrigation, and flood control. The level of accuracy a network can achieve depends onthe number and locations of gauges in the network. In this study, a rain gauge network was designed for Hormozganprovince in the south of Iran. Monthly rainfall totals from 124 r...
متن کاملAccuracy Analysis of Precipitation Regionalization Methods Based on Spatial Interpolation Techniques in Zayandeh-Rud River Basin
In the present study, we used 27 precipitation average monthly data from synoptic, climatologic, rain-guage and evaporative stations located in Zayandeh-Rud river basin for the period of 1970-2014. Before interpolating, the missing data in the time series of each station was reconstructed by the normal ratio method. Also, for the data quality control, the Dickey-Fuller and Shapiro-Wilk tests we...
متن کاملLocation and density of rain gauges for the estimation of spatial varying precipitation
Accurate estimation of precipitation and its spatial variability is crucial for reliable discharge simulations. Although radar and satellite based techniques are becoming increasingly widespread, quantitative precipitation estimates based on point rain gauge measurement interpolation are, and will continue to be in the foreseeable future, widely used. However, the ability to infer spatially dis...
متن کاملOn evaluation of ensemble precipitation forecasts with observation-based ensembles
Spatial interpolation of precipitation data is uncertain. How important is this uncertainty and how can it be considered in evaluation of high-resolution probabilistic precipitation forecasts? These questions are discussed by experimental evaluation of the COSMO consortium’s limitedarea ensemble prediction system COSMO-LEPS. The applied performance measure is the often used Brier skill score (B...
متن کاملتأثیر تغییرات مکانی بارندگی بر پیشبینی هیدروگراف سیلاب در حوضههای آبریز کوهستانی
In this study, the influence of spatial heterogeneity of rainfall on flood hydrograph prediction in three mountainous catchments in south west of Iran was studied. Two interpolation techniques including Thiessen polygons method and Inverse Distance Weighting method were applied to compare the rainfall patterns of surrounding rain-gages in hydrograph simulation with rainfall patterns of nearest ...
متن کامل