Hydrological model uncertainty due to spatial evapotranspiration estimation methods

摘要: Evapotranspiration (ET) continues to be a difficult process estimate in seasonal and long-term water balances catchment models. Approaches ET typically use vegetation parameters (e.g., leaf area index LAI, interception capacity) obtained from field observation, remote sensing data, national or global land cover products, and/or simulated by ecosystem In this study we attempt quantify the uncertainty that spatial evapotranspiration estimation introduces into hydrological simulations when age of forest is not precisely known. The Penn State Integrated Hydrologic Model (PIHM) was implemented for Lysina headwater catchment, located 50?03'N, 12?40'E western part Czech Republic. patterns were digitized maps made available Forest Administration. Two methods model: Biome-BGC growth sub-model (1-way coupled PIHM) with fixed-seasonal LAI method. From these two approaches simulation scenarios developed. We combined estimated drive PIHM. A set hydrologic regime streamflow indices calculated modeling results each Intercomparison responses suggested considerable variation soil moisture recharge small groundwater table elevation streamflow. generated less due plant physiology-based implication research overall variability induced uncertain management practices reduced implementing models estimation.We present series probabilities historic maps.The uncertainty.Reduced suggests importance studies.