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Python scripts that create different plot comparing results of OGS simulations
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HiLEG is a spatially explicit stage- and cohort-based simulation model that allows using daily time steps, to mechanistically examine the interrelations between population dynamics and external drivers, such as climate and land use.
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This project consists of codes to extract gridded total N surplus (both agricultural and non-agricultural soils) dataset at multiple sub-country level (i.e. NUTS 1, NUTS 2) and to derive mean and standard deviations of 16 N surplus estimates from 1850-2019 across Europe.
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Logos used at the CHS department.
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My guide to using OGS. It contains some overview and tips.
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Find the short project version in my gitlab repository!
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Python bindings for mHM
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Data for a hydro-thermal flow in fractured porous media OpenGeoSys simulation model.
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Catchment scale nitrate transport model based on the mHM-Nitrate model and StorAge Selection functions
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