Development of a land surface model including cloud water deposition on vegetation

Katata, Genki; Nagai, Haruyasu  ; Wrzesinsky, T.*; Klemm, O.*; Eugster, W.*; Burkard, R.*

A land surface model including cloud water deposition to vegetation was developed to better predict water exchanges between biosphere and atmosphere. High performance of our new model was confirmed and it provided a better prediction of measured cloud water flux than the commonly used model. Simple linear relationships between wind speed and deposition velocity () were found. Numerical experiments were performed to study the influences of leaf shapes (needle and broad leaves) and canopy structure (Leaf area index (LAI) and canopy height) on . Broad leaves with small sized leaves can capture larger amounts of cloud water than needle leaves. From the analyses of conductances at given Leaf Area Density (LAD), we found that trees whose LAD 0.1 m m are the most efficient structures for cloud water deposition. A simple expression for the slope of against LAD obtained from the experiments can be useful to predict cloud water deposition.