Boundary Layer scheme: MYJ YSU

Domain: Europe Germany Rhine-Neckar Berlin Rhine-Ruhr Nuremberg Munich

Variable: Total CO2* Total CO2 (Bio v2)* Anthropogenic CO2* Background CO2 CO2 Traffic CO2 Point Sources CO2 Area Sources CO2 Biofuel CO2 Biogenic CO2 Biogenic v2 Total CO* Background CO CO Anthro Wind Speed*

Z Slice: 0

* - see documentation

General

This dataset contains one year of CO₂ and CO enhancement fields for 5 metropolitan regions in Germany (Rhine-Neckar, Rhine-Ruhr, Berlin, Nuremberg, Munich) at 1km resolution. These domains are embedded in the Germany domain at 5km resolution and the Europe domain at 15km resolution. There are two simulations available using two different WRF boundary layer schemes: MYJ (Mellor-Yamada-Janjic) [Yanjic, 2002] and YSU (Yonsei University) [Hong, 2006].

• Contributors: Lukas Pilz, Sanam Vardag (GHG Simulation Group, Institute of Environmental Physics, Heidelberg University)
• Time period: 1.1.2018 - 31.12.2018
  • reinitialization every 7 days from ERA5 meteorology (12 hours spin up)

Access/License

This work is licensed under CC BY 4.0.

Acknowledgements

This work is part of the joint project ITMS, funded by the German BMBF under reference number 01LK2102D. This work used resources of the Deutsches Klimarechenzentrum (DKRZ), allocated by the scientific steering committee (WLA) under project ID bb1170 and bm1400. High resolution emission data as input for the model was prepared by TNO, the Netherlands following the description in [Super et al. (2020)].

References

Janjic, Z. I., 2002: Nonsingular Implementation of the Mellor–Yamada Level 2.5 Scheme in the NCEP Meso model, NCEP Office Note, No. 437, 61 pp.

Hong, S., Y. Noh, and J. Dudhia, 2006: A New Vertical Diffusion Package with an Explicit Treatment of Entrainment Processes. Mon. Wea. Rev., 134, 2318–2341, https://doi.org/10.1175/MWR3199.1.

Breuer, H. (2021). CORINE dataset for WRF-NoahMP model (v4.3, v4.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4432128  

Demuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B.: A global map of local climate zones to support earth system modelling and urban-scale environmental science, Earth Syst. Sci. Data, 14, 3835–3873, https://doi.org/10.5194/essd-14-3835-2022, 2022. 

Super, I., Dellaert, S. N. C., Visschedijk, A. J. H., and Denier van der Gon, H. A. C.: Uncertainty analysis of a European high-resolution emission inventory of CO2 and CO to support inverse modelling and network design, Atmos. Chem. Phys., 20, 1795–1816, https://doi.org/10.5194/acp-20-1795-2020, 2020.