Posts in Impacts
PALM - Parallelized Large-eddy Simulation Model
- 10 June 2024
High-performance Large-Eddy Simulation model for simulating atmospheric boundary layer flows with fully interactive embedded models (urban surface, land surface, radiation, cloud physics, pollutant dispersion). It has been developed as a turbulence-resolving large-eddy simulation (LES) model that is especially designed for performing on massively parallel computer architectures. By default, PALM has at least six prognostic quantities: the velocity components u, v, w on a Cartesian grid, the potential temperature θ, water vapor mixing ratio qv and possibly a passive scalar s. Furthermore, an additional equation is solved for either the subgrid-scale turbulent kinetic energy (SGS-TKE) e (LES mode, default) or the total turbulent kinetic energy. PALM is now an independent name based on a FORTRAN code.
WaterGAP (Water Global Assessment and Prognosis)
- 06 June 2024
WaterGAP is a global hydrological model that quantifies human use of groundwater and surface water as well as water flows and water storage and thus water re- sources on all land areas of the Earth. Since 1996, it has served to assess water resources and water stress both historically and in the future. It has been used in multiple studies on climate change impacts and drought and includes an advanced estimation of groundwater recharge. WaterGAP simulations regularly contribute to ISIMIP simulation rounds.
WAM
- 23 May 2024
The third generation spectral WAve Model (WAM) integrates the basic transport equation describing the evolution of a two-dimensional ocean wave spectrum without additional ad hoc assumptions regarding the spectral shape. The three source functions describing the wind input, nonlinear transfer, and white-capping dissipation are prescribed explicitly. An additional bottom dissipation source function and refraction terms are included in the finite-depth version of the model.
AgroC
- 21 May 2024
AgroC is a 1-d model of water, energy and matter fluxes in agricultural systems operating at hourly or daily time steps, accounting for organic carbon, nitrogen and phosphorus turnover and soil mineral nitrogen and phosphorus pools. The SoilCO2/RothC model (Herbst et al., 2008; Simunek et al., 1993) was extended with the dynamic plant growth module SUCROS (Spitters et al., 1988). Combining those subroutines allows for a closed carbon balance of cropped ecosystems at an hourly or daily time step. The model explicitly accounts for soil carbon turnover, soil CO2 flux, plant water stress, nutrient stress and organ-specific carbon allocation. Standard crop input parameters exist for cereals, sugar beet, maize, potato and grassland. It was successfully validated for various sites and crops (Klosterhalfen et al., 2017) and the latest implementations comprise soil nitrous gas emissions. AgroC has been applied to simulate the water stress dependent within-field variability of carbon fluxes (Herbst et al., 2021), to model variability of leaf are index and yield at the 1km2 scale (Brogi et al., 2020; Brogi et al., 2021) and it was part of a large crop model intercomparison study (Groh et al., 2020; Groh et al., 2022). Classical agronomical applications are documented for maize (Zydelis et al., 2018) and hemp (Zydelis et al., 2022). Future scenarios of maize cropping under climate change were investigated with AgroC by Zydelis et al., (2021). A quite unique feature of this model is the estimation of leaf-level solar induced fluorescence in dependence of water stress (DeCanniere et al., 2021).
SIMPLACE
- 16 May 2024
The SIMPLACE system is a modelling framework as FOSS (Free and Open Source System) for dynamic agricultural modelling. It integrates components for grassland, 26 main crops, soil-climate interaction, livestock, etc. For model users there is a GUI, for advanced model developpers a IDE to work with SIMPLACE and the included Model Units.
MONICA
- 16 May 2024
The acronym MONICA is derived from „MOdel of Nitrogen and Carbon dynamics in Agro-ecosystems”.
GLUES (Global Land Use and technological Evolution Simulator)
- 16 May 2024
The Global Land Use and technological Evolution Simulator (GLUES) is an Earth system component of land use intensity and demography. GLUES mathematically resolves the dynamics of local human populations´ density and characteristic sociocultural traits in the context of a changing biogeographical environment. A local sociocultural coevolution is described by changes in mean population density, technology, share of agropastoral activities, and economic diversity, within a simulation region of approximately country-size extent. Each local population utilises its regional resources, which are describey by vegetation productivity and climatic constraints. Each local population interacts with its geographical neighbours via trade and migration.
SERGHEI
- 14 May 2024
The Simulation EnviRonment for Geomorphology, Hydrodynamics, and Ecohydrology in Integrated form is a multi-dimensional, multi-domain, and multi-physics model framework for environmental and landscape simulation.