Evaluation of multisite synthetic data generated by spatial weather generator and long climate data series

Abstract

Abstract. In this paper a new validation test for the spatial weather generator SWGEN producing the multisite daily time series of solar radiation, temperature and precipitation is presented. The method was tested by comparing statistics of 1000 years of generated data with extra long series of 35 years of observed weather parameters and 24 sites of meteorological stations for south-west Poland. The method evaluation showed that the means (sums) and variances of generated data were comparable with observed climatic data aggregated for months, seasons and years.

Simulation of the minimum annual river flows based on the RCP climatic scenario, time horizon up to 2060-2080 and the Kaczawa River

“…As in our previous papers [1][2][3]5] For daily annual minimum flow values two parameters Lognormal (LN2) density function was applied, and for maximum likelihood parameter estimation 1000 observations were used. It means that the probability distribution parameters were estimated for five combinations (2x2+1), using 1000 year series each.…”

“…Our research has been conducted for many years in the Kaczawa river basin in south-western Poland (Fig.2) [1][2][3]5]. This choice is related to the Institute of Meteorology and Water Management National Research Institute (IMGW) recommendation and very good meteorological and hydrological data of high quality.…”

“…In earlier works [1 -3] simulations for maximum flows and runoff were presented while now the minimum flows were focused on. In the present study, a spatial generator was used as before, but verified on new extended meteorological data [1,4,5].…”