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LEAFlood - Landscape and vEgetAtion-dependent Flood model (Version 1)

Authors: Thea Wübbelmann; Kristian Förster;

LEAFlood - Landscape and vEgetAtion-dependent Flood model (Version 1)

Abstract

The LEAFlood model (Landscape and vEgetAtion-dependent Flood model) is based on existing model components of the Catchment Modelling Framework (CMF, Kraft et al., 2011). It is in between a conceptual and physically-based, distributed, deterministic model. LEAFlood considers the hydrological processes of canopy interception, canopy evaporation, throughfall, soil infiltration and surface runoff. The geometry is created on the basis of an irregular polygon shapefile. The model is forced by meteorological data of rainfall, temperature, wind speed, relative humidity and solar radiation. The interception utilizes the Rutter approach. LAI, Interception capacity and canopy closure are required parameters. Depending on the canopy closure, the precipitation can either be intercepted in the canopy or fall directly to the ground. A canopy closure of 1 means all rain is intercepted and 0 indicates 100% throughfall. The soil consists of one soil layer with the Green-Ampt infiltration method and the Brooks-Corey Retention Curve. A multi soil layer approach can be adapted. The saturated conductivity can be set individual for each cell. Further soil defining parameters are the porosity and the saturated depth. The surface runoff follows the kinematic approach based on topography and surface roughness (Manning’s roughness coefficient). First release of LEAFlood in May 2022.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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