Numerical experiments with a parameterization of mires in the COSMO-D2 convection permitting limited-area numerical weather prediction framework
- 1Deutscher Wetterdienst, Research & Development, Germany (juergen.helmert@dwd.de)
- 2NIERSC, Russian Federation
- 3Federal Service for Hydrometeorology and Environmental Monitoring, Russian Federation
- 4Federal Office of Meteorology and Climatology MeteoSwiss, Switzerland
Europe - especially the northern and middle latitudes - is one of Earth’s mire-rich regions. Among the main distribution areas for mires in Central Europe the coastal region along the southeastern corner of the North Sea (Frisia) shows the highest density of mires. Despite of the important role of mires acting as a carbon sink and modifying the Bowen ratio with influence on screen level meteorological parameters their adequate representation in land-surface schemes used in numerical weather prediction and climate models is still insufficient.
With the recent version 5.06 the COSMO model (Baldauf et al., 2017) offers a parameterization of mires based on Yurova et al. (2014). In this approach the heat diffusion in the vertical domain of the soil multilayer model TERRA is considered with modified equations describing the thermal conductivity for peat with given water/ice contents. The mire hydrology is parameterized by the solution of the Richard's equation in the vertical domain extended by the formulation of a lower boundary condition as a climatological layer of permanent saturation used to simulate the water table position, in conjunction with a mire‐specific evapotranspiration and runoff parameterization.
The impact of the mire parameterization on screen level meteorological parameters and mesoscale processes was investigated in two numerical experiments with COSMO-D2 in a convection permitting limited-area numerical weather prediction (NWP) framework for summer 2018 and winter 2018/2019.
We will present results from the objective verification system and discuss the impact of geospatial physiographic data for an improved representation of mires in the NWP framework.
How to cite: Helmert, J., Yurova, A., Blinov, D., Rozinkina, I., Baldauf, M., Schättler, U., Bettems, J.-M., and Mironov, D.: Numerical experiments with a parameterization of mires in the COSMO-D2 convection permitting limited-area numerical weather prediction framework, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17891, https://doi.org/10.5194/egusphere-egu2020-17891, 2020