Fig1The terrestrial system modeling platform (TerrSysMP) was developed to simulate the interaction between lateral flow processes in river basins with the lower atmospheric boundary layer.

It features three model components: COSMO, CLM , ParFlow and an external coupler OASIS3 that drives the system. This platform allows explicit modeling of land-atmosphere interactions across scales ranging from meters to kilometers via mosaic and downscaling / upscaling approaches. New parameterizations for root water uptake, additional plant function types, downscaling algorithms, and CO2 exchange processes have also been implemented into TerrSysMP in collaboration with B and C science clusters, and are currently being tested.

The website (git.meteo.uni-bonn.de), provides access to the repository of TerrSysMP.

NEW USERS should register in the website and contact Z4 to get access to TerrSysMP.

The site also offers links to extensive wiki for installing the system in various machines. A new suite of pre-processing and post-processing tools has been developed for the TerrSysMP and is available from the website. As an outreach program, a training course was conducted for the PhD students during the IRTG lecture series, forming a basis for the development of technical manual and user guide for the system; and the design of a TerrSysMP course for researchers within and outside TR32.


TR32 Publications for Project Z4


Poll, S., Shrestha, P., Simmer, C., 2017.
Modelling convectively induced secondary circulations in the terra incognita with TerrSysMP.
QJRMS. 1 - 10. DOI: DOI:10.1002/qj.3088.

Shrestha, P., Sulis, M., Masbou, M., Kollet, S., Simmer, C., 2014.
A Scale-Consistent Terrestrial Systems Modeling Platform Based on COSMO, CLM, and ParFlow.
Monthly Weather Review. 142 (9), 3466 - 3483. DOI: 10.1175/MWR-D-14-00029.1.

Shrestha, P., Kurtz, W., Vogel, G., Schulz, J., Sulis, M., Hendricks-Franssen, H., Kollet, S., Simmer, C., 2018.
Connection between root zone soil moisture and surface energy flux partitioning using modeling, observations and data assimilation for a temperate grassland site in Germany.
Journal of Geophysical Research, Biogeosciences. 1 - 24. DOI: 10.1029/2016JG003753.

Shrestha, P., Sulis, M., Simmer, C., Kollet, S., 2018.
Effects of horizontal grid resolution on evapotranspiration partitioning using TerrSysMP.
Journal of Hydrology. 557, 910 - 915. DOI: 10.1016/j.jhydrol.2018.01.024.

Shrestha, P., Sulis, M., Simmer, C., Kollet, S., 2015.
Impacts of grid resolution on surface energy fluxes simulated with an integrated surface-groundwater flow model.
HESS. 19, 4317 - 4326. DOI: 10.5194/hess-19-4317-2015.

Shrestha, P., Dimri, A., Schomburg, A., Simmer, C., 2015.
Improved understanding of an extreme rainfall event at the Himalayan foothills - a case study using COSMO.
Tellus A. 67 (26031), 1 - 13. DOI: 10.3402/tellusa.v67.26031.

Sulis, M., Keune, J., Shrestha, P., Simmer, C., Kollet, S., 2018.
Quantifying the impact of subsurface‐land surface physical processes on the predictive skill of subseasonal mesoscale atmospheric simulations.
Journal of Geophysical Research: Atmospheres. 1 - 21. DOI: 10.1029/2017JD028187.

Sulis, M., Williams, J., Shrestha, P., Diederich, M., Simmer, C., Kollet, S., Maxwell, R., 2017.
Coupling Groundwater, Vegetation, and Atmospheric Processes: A Comparison of Two Integrated Models.
JHM. 18 (5), 1489 - 1511. DOI: 10.1175/JHM-D-16-0159.1.

Sulis, M., Langensiepen, M., Shrestha, P., Schickling, A., Simmer, C., Kollet, S., 2015.
Evaluating the influence of plant-specific physiological parameterizations on the partitioning of land surface energy fluxes.
Journal of Hydrometeorology. 16 (2), 517 - 533. DOI: 10.1175/JHM-D-14-0153.1.



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