Articles | Volume 12, issue 9
https://doi.org/10.5194/gmd-12-4075-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-4075-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
20 Sep 2019
Model evaluation paper |
| 20 Sep 2019
| 20 Sep 2019
Parameter calibration and stomatal conductance formulation comparison for boreal forests with adaptive population importance sampler in the land surface model JSBACH
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Jürgen Knauer
Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
Mika Aurela
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Andrew Black
University of British Columbia, Vancouver, Canada
Martin Heimann
Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
Hideki Kobayashi
Institute of Arctic Climate and Environment Change Research, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Annalea Lohila
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Institute for Atmospheric and Earth System Research/Physics, P.O. Box 48, Faculty of Science, 00014 University of Helsinki, Helsinki, Finland
Ivan Mammarella
Institute for Atmospheric and Earth System Research/Physics, P.O. Box 48, Faculty of Science, 00014 University of Helsinki, Helsinki, Finland
Hank Margolis
Department of Forest Sciences, Laval University, Québec city, Canada
Tiina Markkanen
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Jouni Susiluoto
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
School of Engineering Science, Lappeenranta-Lahti University of Technology, P.O. Box 20, 53851 Lappeenranta, Finland
Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
Toni Viskari
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Sönke Zaehle
Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
Tuula Aalto
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
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11 citations as recorded by crossref.
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- Long-term fluxes of carbonyl sulfide and their seasonality and interannual variability in a boreal forest T. Vesala et al. 10.5194/acp-22-2569-2022
- Pixel-level parameter optimization of a terrestrial biosphere model for improving estimation of carbon fluxes with an efficient model–data fusion method and satellite-derived LAI and GPP data R. Ma et al. 10.5194/gmd-15-6637-2022
- Modelling alternative harvest effects on soil CO2 and CH4 fluxes from peatland forests X. Li et al. 10.1016/j.scitotenv.2024.175257
- ICLASS 1.1, a variational Inverse modelling framework for the Chemistry Land-surface Atmosphere Soil Slab model: description, validation, and application P. Bosman & M. Krol 10.5194/gmd-16-47-2023
- Sensitivity of 21st century simulated ecosystem indicators to model parameters, prescribed climate drivers, RCP scenarios and forest management actions for two Finnish boreal forest sites J. Mäkelä et al. 10.5194/bg-17-2681-2020
- On the Treatment of Soil Water Stress in GCM Simulations of Vegetation Physiology P. Vidale et al. 10.3389/fenvs.2021.689301
- A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: demonstration with photosynthesis simulations D. Aboelyazeed et al. 10.5194/bg-20-2671-2023
- Modeling atmosphere–land interactions at a rainforest site – a case study using Amazon Tall Tower Observatory (ATTO) measurements and reanalysis data A. Schmitt et al. 10.5194/acp-23-9323-2023
- Ecosystem Photosynthesis in Land‐Surface Models: A First‐Principles Approach Incorporating Acclimation G. Mengoli et al. 10.1029/2021MS002767
10 citations as recorded by crossref.
- Modelling the Alternative Harvesting Effects on Soil Co2 and Ch4 Fluxes from Peatland Forest by Jsbach-Himmeli Model X. Li et al. 10.2139/ssrn.4170450
- Improved water use efficiency of vegetation due to carbon fertilization not translating to increased soil moisture in India A. Verma & S. Ghosh 10.1016/j.jhydrol.2024.131890
- Long-term fluxes of carbonyl sulfide and their seasonality and interannual variability in a boreal forest T. Vesala et al. 10.5194/acp-22-2569-2022
- Pixel-level parameter optimization of a terrestrial biosphere model for improving estimation of carbon fluxes with an efficient model–data fusion method and satellite-derived LAI and GPP data R. Ma et al. 10.5194/gmd-15-6637-2022
- Modelling alternative harvest effects on soil CO2 and CH4 fluxes from peatland forests X. Li et al. 10.1016/j.scitotenv.2024.175257
- ICLASS 1.1, a variational Inverse modelling framework for the Chemistry Land-surface Atmosphere Soil Slab model: description, validation, and application P. Bosman & M. Krol 10.5194/gmd-16-47-2023
- Sensitivity of 21st century simulated ecosystem indicators to model parameters, prescribed climate drivers, RCP scenarios and forest management actions for two Finnish boreal forest sites J. Mäkelä et al. 10.5194/bg-17-2681-2020
- On the Treatment of Soil Water Stress in GCM Simulations of Vegetation Physiology P. Vidale et al. 10.3389/fenvs.2021.689301
- A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: demonstration with photosynthesis simulations D. Aboelyazeed et al. 10.5194/bg-20-2671-2023
- Modeling atmosphere–land interactions at a rainforest site – a case study using Amazon Tall Tower Observatory (ATTO) measurements and reanalysis data A. Schmitt et al. 10.5194/acp-23-9323-2023
1 citations as recorded by crossref.
Latest update: 23 Nov 2024
Short summary
We assess the differences of six stomatal conductance formulations, embedded into a land–vegetation model JSBACH, on 10 boreal coniferous evergreen forest sites. We calibrate the model parameters using all six functions in a multi-year experiment, as well as for a separate drought event at one of the sites, using the adaptive population importance sampler. The analysis reveals weaknesses in the stomatal conductance formulation-dependent model behaviour that we are able to partially amend.
We assess the differences of six stomatal conductance formulations, embedded into a...
