Sensitivity of a soil-vegetation-atmosphere-transfer scheme to input data resolution and data classification

摘要: This paper presents modelling of the effects input data resolution and classification a regionally applied soil-vegetation-atmosphere-transfer (SVAT) scheme. Most SVAT schemes were developed at local scales but often are regional to simulate water balances predict environmental changes on catchment hydrology. Applying models different requires investigating sensitivity available data. In this study, investigated include soil maps, vegetation classifications, topographic information weather varying temporal spatial resolutions. Target quantities simulated fluxes such as evapotranspiration rates, groundwater recharge runoff generation rates. Model is estimated with respect flows, focusing time periods (months, years). The atmosphere transfer scheme SIMULAT two catchments representing environments where sets quality available. Results show that, an annual scale, most sensitive aggregation mis-classification in On monthly also very disaggregation precipitation distribution land-use spatio-temporal low. Based investigations, ranking model proposed. Minimum requirements concerning for scale applications derived.