Does dynamically modeled leaf area improve predictions of land surface water and carbon fluxes? Insights into dynamic vegetation modules

Westermann, Sven Armin; Hildebrandt, Anke; Bousetta, Souhail; Thober, Stephan

doi:https://doi.org/10.5194/bg-21-5277-2024

Articles | Volume 21, issue 22

https://doi.org/10.5194/bg-21-5277-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-21-5277-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 22

Research article

|

27 Nov 2024

Research article |

| 27 Nov 2024

Does dynamically modeled leaf area improve predictions of land surface water and carbon fluxes? Insights into dynamic vegetation modules

Sven Armin Westermann, Anke Hildebrandt, Souhail Bousetta, and Stephan Thober

Supplement

https://doi.org/10.5194/bg-21-5277-2024-supplement

Data sets

Carbon, water and energy fluxes at the TERENO/ICOS ecosystem station Hohes Holz in Central Germany since 2015 C. Rebmann and F. Pohl https://doi.org/10.1594/PANGAEA.940760

MOD15A2H MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V006 R. Myneni et al. https://doi.org/10.5067/MODIS/MOD15A2H.006

ERA5-Land hourly data from 1950 to present J. Muñoz Sabater https://doi.org/10.24381/cds.e2161bac

FLUXNET2015 Dataset fluxnet.org https://fluxnet.org/data/fluxnet2015-dataset/

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Short summary

Plants at the land surface mediate between soil and the atmosphere regarding water and carbon transport. Since plant growth is a dynamic process, models need to consider these dynamics. Two models that predict water and carbon fluxes by considering plant temporal evolution were tested against observational data. Currently, dynamizing plants in these models did not enhance their representativeness, which is caused by a mismatch between implemented physical relations and observable connections.