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发布于:2018-4-20 10:29:55  访问:7 次 回复:0 篇
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Parameters and forcing data. Fig illustrates this by displaying a) the
Simulated spatial patterns in the scenarios are evaluated against the baseline model on the premise that if a perturbation in spatial input alters the simulated spatial patterns considerably, the model is deemed sensitive to that particular driver. Vice versa, small adjust inside the simulated patterns of a scenario indicates limited sensitivity . 3 landsurface variables are chosen for the sensitivity evaluation, namely every day actual evapotranspiration (ET), everyday landsurfacetemperature (LST) and landsurfacetemperature rise (LSTr) which quantifies the heating price in between nighttime and daytime LST. Table groups the six scenarios into climate, soilgeology and vegetationrelevant. In scenarios and , the respective parameters or forcing information are spatially averaged to continuous values for the entire catchment. As an intermediate step, situation constitutes a moving average km smoothing filter applied to the MODIS derived vegetation parameters. Lastly, scenario addresses the groundwater influence of spatial patterns at the landsurface. Within this situation, the conceptual model setup is simplified by disabling the saturated zone and setting a continual groundwater head boundary beneath the root depth. A superior understanding with the most critical spatial processes at the landatmosphere interface will guide the modelling community to adequately diagnose spatial model deficiencies and to efficiently incorporate spatial facts (e.g. by signifies of remote sensing) to model parameters and forcing. Citizen scienceHuman visual perceptionIn order to successfully study from the human perception we‘ve constructed a Zooniverse project, entitled Pattern Perception, which was officially released on May rd . Prior to the Title Loaded From File release it has been reviewed by the Zooniverse group, who ensured that it complied with their guidelines and requirements (https:www.zooniverse.orglabpolicies). On top of that, Zooniverse customers that have consented to their availability for betatesting reviewed the project‘s good quality. Pattern Perception asks the Zooniverse customers to classify spatial similarity and dissimilarity between the six scenarios along with the bas.Parameters and forcing information. Fig illustrates this by showing a) the land use map that may be partly utilized for the vegetation parametrization, b) the soil map that comprises units; each with individual van Genuchten parameters, c) a snapshot of MODIS derived LAI that is accessible every single days at km spatial resolution and d) a daily typical air temperature which is interpolated to km based on climate station information. A baseline model and six scenarios make the basis for the spatial pattern evaluation in this study. Three landsurface variables are chosen for the sensitivity analysis, namely each day actual evapotranspiration (ET), day-to-day landsurfacetemperature (LST) and landsurfacetemperature rise (LSTr) which quantifies the heating rate in between nighttime and daytime LST. Table groups the six scenarios into climate, soilgeology and vegetationrelevant. In scenarios and , the respective parameters or forcing information are spatially averaged to constant values for the whole catchment. As an intermediate step, situation constitutes a moving typical km smoothing filter applied to the MODIS derived vegetation parameters. Lastly, scenario addresses the groundwater influence of spatial patterns in the landsurface. Within this scenario, the conceptual model setup is simplified by disabling the saturated zone and setting a continuous groundwater head boundary under the root depth. A far better understanding with the most vital spatial processes in the landatmosphere interface will guide the modelling community to appropriately diagnose spatial model deficiencies and to efficiently incorporate spatial details (e.g. by indicates of remote sensing) to model parameters and forcing.
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