This dataset includes the spatially resolved city-level biogenic model products for Munich with a grid resolution of 300 x 300 m2. The data covers annual gross primary production (GPP), soil and vegetation respiration (Rs) and the biogenic net ecosystem exchange (NEE) as simulated using the SUEWS model, for the period 2024-01-01 to 2024-12-31. The details of the modelling and the outputs are described in ICOS Cities deliverable D2.2.
@misc{https://doi.org/10.18160/xzv0-ax4f,
doi = {10.18160/XZV0-AX4F},
url = {https://citymeta.icos-cp.eu/objects/gZ-97WR_mSXEyfpf-LfQ35tz},
author = {Karvonen, Anni and Järvi, Leena and Havu, Minttu and Kaltiainen, Aino and Li, Junwei and Chen, Jia},
keywords = {CARBON SEQUESTRATION, GROSS PRIMARY PRODUCTION (GPP), SUEWS, URBAN AREAS, VEGETATION, biogenic, net ecosystem exchange (NEE), respiration},
title = {Biogenic model results for Munich},
publisher = {ICOS ERIC -- Carbon Portal},
year = {2025},
copyright = {Creative Commons Attribution 4.0 International}
}
TY - DATA T1 - Biogenic model results for Munich AU - Karvonen, Anni AU - Järvi, Leena AU - Havu, Minttu AU - Kaltiainen, Aino AU - Li, Junwei AU - Chen, Jia DO - 10.18160/XZV0-AX4F UR - https://citymeta.icos-cp.eu/objects/gZ-97WR_mSXEyfpf-LfQ35tz AB - This dataset includes the spatially resolved city-level biogenic model products for Munich with a grid resolution of 300 x 300 m2. The data covers annual gross primary production (GPP), soil and vegetation respiration (Rs) and the biogenic net ecosystem exchange (NEE) as simulated using the SUEWS model, for the period 2024-01-01 to 2024-12-31. The details of the modelling and the outputs are described in ICOS Cities deliverable D2.2. KW - CARBON SEQUESTRATION KW - GROSS PRIMARY PRODUCTION (GPP) KW - SUEWS KW - URBAN AREAS KW - VEGETATION KW - biogenic KW - net ecosystem exchange (NEE) KW - respiration PY - 2025 PB - ICOS ERIC -- Carbon Portal ER -
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PAUL, Pilot Applications in Urban Landscapes - Towards integrated city observatories for greenhouse gases (ICOS Cities), has received funding
from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 101037319.