Modelling evaporation with local, regional and global BROOK90 frameworks: importance of parameterization and forcing

[摘要] Evaporation plays an important role in the water balance on a differentspatial scale. However, its direct and indirect measurements are globallyscarce and accurate estimations are a challenging task. Thus the correctprocess approximation in modelling of the terrestrial evaporation plays acrucial part. A physically based 1D lumped soil–plant–atmosphere model(BROOK90) is applied to study the role of parameter selection andmeteorological input for modelled evaporation on the point scale. Then, withthe integration of the model into global, regional and local frameworks, wemade cross-combinations out of their parameterization and forcing schemes toshow and analyse their roles in the estimations of the evaporation. Five sites with different land uses (grassland, cropland, deciduousbroadleaf forest, two evergreen needleleaf forests) located in Saxony,Germany, were selected for the study. All tested combinations showed a goodagreement with FLUXNET measurements (Kling–Gupta efficiency, KGE, values 0.35–0.80 for a dailyscale). For most of the sites, the best results were found for the calibratedmodel with in situ meteorological input data, while the worst was observed forthe global setup. The setups' performance in the vegetation period was muchhigher than for the winter period. Among the tested setups, the modelparameterization showed higher spread in performance than meteorologicalforcings for fields and evergreen forests sites, while the opposite was noticedin deciduous forests. Analysis of the of evaporation components revealed thattranspiration dominates (up to 65 %–75 %) in the vegetation period, whileinterception (in forests) and soil/snow evaporation (in fields) prevail inthe winter months. Finally, it was found that different parameter setsimpact model performance and redistribution of evaporation componentsthroughout the whole year, while the influence of meteorological forcing wasevident only in summer months.

[学科分类] 妇产科学