Articles | Volume 11, issue 2
https://doi.org/10.5194/gmd-11-771-2018
© Author(s) 2018. 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-11-771-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
02 Mar 2018
Model description paper |
| 02 Mar 2018
| 02 Mar 2018
Simulating damage for wind storms in the land surface model ORCHIDEE-CAN (revision 4262)
Yi-Ying Chen
CORRESPONDING AUTHOR
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL), CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
now at: Research Center for Environmental Changes (RCEC), Academia Sinica, Taipei, Taiwan
Barry Gardiner
Institute National de la Recherche Agronomique (INRA), Villenave d'Ornon, France
Ferenc Pasztor
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL), CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
now at: Maritime Strategies International Ltd (MSI), London, England
Kristina Blennow
Swedish University of Agricultural Sciences (SLU), Alnarp, Sweden
James Ryder
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL), CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
Aude Valade
Institut Pierre Simon Laplace (IPSL), CNRS-UPMC, Paris, France
Kim Naudts
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL), CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
now at: Max Planck Institute for Meteorology, Hamburg, Germany
Juliane Otto
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL), CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
now at: Climate Service Center Germany (GERICS), Helmholtz-Zentrum Geesthacht, Hamburg, Germany
Matthew J. McGrath
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL), CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
Carole Planque
CNRM/GMME/VEGEO Météo France, Toulouse, France
Sebastiaan Luyssaert
Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL), CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
now at: Department of Ecological Sciences, Vrij Universiteit Amsterdam, Amsterdam, the Netherlands
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Cited
26 citations as recorded by crossref.
- Globally consistent climate sensitivity of natural disturbances across boreal and temperate forest ecosystems R. Seidl et al. 10.1111/ecog.04995
- Prospective impacts of windstorm risk on carbon sinks and the forestry sector: an integrated assessment with Monte Carlo simulations F. Bastit et al. 10.1088/1748-9326/ad661b
- Predicting the risk of tree fall onto railway lines B. Gardiner et al. 10.1016/j.foreco.2023.121614
- Combining scientific and local knowledge improves evaluating future scenarios of forest ecosystem services I. Hallberg-Sramek et al. 10.1016/j.ecoser.2023.101512
- Hillslope roughness reveals forest sensitivity to extreme winds T. Doane et al. 10.1073/pnas.2212105120
- Wind Speed Controls Forest Structure in a Subtropical Forest Exposed to Cyclones: A Case Study Using an Individual-Based Model E. Rau et al. 10.3389/ffgc.2022.753100
- Simulation of the Impact of Environmental Disturbances on Forest Biomass in Taiwan Y. Chen et al. 10.1029/2021JG006519
- Simulating Ips typographus L. outbreak dynamics and their influence on carbon balance estimates with ORCHIDEE r8627 G. Marie et al. 10.5194/gmd-17-8023-2024
- Pervasive shifts in forest dynamics in a changing world N. McDowell et al. 10.1126/science.aaz9463
- Functionally Assembled Terrestrial Ecosystem Simulator (FATES) for Hurricane Disturbance and Recovery M. Shi et al. 10.1029/2023MS003679
- Use of a mechanistic wind damage risk model to select Eucalyptus clones resistant to stem breakage and uprooting in tropical plantations G. Hutabarat et al. 10.1016/j.foreco.2024.122167
- Climate indices for the tailoring of climate information – A systematic literature review of Swedish forestry and agriculture L. Wiréhn 10.1016/j.crm.2021.100370
- Review article: A European perspective on wind and storm damage – from the meteorological background to index-based approaches to assess impacts D. Gliksman et al. 10.5194/nhess-23-2171-2023
- Tropical cyclones facilitate recovery of forest leaf area from dry spells in East Asia Y. Chen & S. Luyssaert 10.5194/bg-20-349-2023
- Using the International Tree-Ring Data Bank (ITRDB) records as century-long benchmarks for global land-surface models J. Jeong et al. 10.5194/gmd-14-5891-2021
- A joint framework for studying compound ecoclimatic events A. Bastos et al. 10.1038/s43017-023-00410-3
- Forest responses to simulated elevated CO2 under alternate hypotheses of size‐ and age‐dependent mortality J. Needham et al. 10.1111/gcb.15254
- Framework for assessing the windthrow risk to Norway spruce forests in Switzerland S. Maurer & H. Heinimann 10.1007/s10342-019-01251-w
- Improving the predictive capacity of the windthrow risk model ForestGALES with long-term monitoring data – A statistical calibration approach C. Stadelmann et al. 10.1016/j.foreco.2024.122389
- Dynamic ecosystem assembly and escaping the “fire trap” in the tropics: insights from FATES_15.0.0 J. Shuman et al. 10.5194/gmd-17-4643-2024
- Understanding the uncertainty in global forest carbon turnover T. Pugh et al. 10.5194/bg-17-3961-2020
- A spatially explicit database of wind disturbances in European forests over the period 2000–2018 G. Forzieri et al. 10.5194/essd-12-257-2020
- Effect of repeated pulling loads on Norway spruce (Picea abies (L.) Karst.) trees L. Marchi et al. 10.1016/j.foreco.2024.122071
- Emergent vulnerability to climate-driven disturbances in European forests G. Forzieri et al. 10.1038/s41467-021-21399-7
- Ecosystem heterogeneity is key to limiting the increasing climate-driven risks to European forests G. Forzieri et al. 10.1016/j.oneear.2024.10.005
- Wind damage to forests and trees: a review with an emphasis on planted and managed forests B. Gardiner 10.1080/13416979.2021.1940665
25 citations as recorded by crossref.
- Globally consistent climate sensitivity of natural disturbances across boreal and temperate forest ecosystems R. Seidl et al. 10.1111/ecog.04995
- Prospective impacts of windstorm risk on carbon sinks and the forestry sector: an integrated assessment with Monte Carlo simulations F. Bastit et al. 10.1088/1748-9326/ad661b
- Predicting the risk of tree fall onto railway lines B. Gardiner et al. 10.1016/j.foreco.2023.121614
- Combining scientific and local knowledge improves evaluating future scenarios of forest ecosystem services I. Hallberg-Sramek et al. 10.1016/j.ecoser.2023.101512
- Hillslope roughness reveals forest sensitivity to extreme winds T. Doane et al. 10.1073/pnas.2212105120
- Wind Speed Controls Forest Structure in a Subtropical Forest Exposed to Cyclones: A Case Study Using an Individual-Based Model E. Rau et al. 10.3389/ffgc.2022.753100
- Simulation of the Impact of Environmental Disturbances on Forest Biomass in Taiwan Y. Chen et al. 10.1029/2021JG006519
- Simulating Ips typographus L. outbreak dynamics and their influence on carbon balance estimates with ORCHIDEE r8627 G. Marie et al. 10.5194/gmd-17-8023-2024
- Pervasive shifts in forest dynamics in a changing world N. McDowell et al. 10.1126/science.aaz9463
- Functionally Assembled Terrestrial Ecosystem Simulator (FATES) for Hurricane Disturbance and Recovery M. Shi et al. 10.1029/2023MS003679
- Use of a mechanistic wind damage risk model to select Eucalyptus clones resistant to stem breakage and uprooting in tropical plantations G. Hutabarat et al. 10.1016/j.foreco.2024.122167
- Climate indices for the tailoring of climate information – A systematic literature review of Swedish forestry and agriculture L. Wiréhn 10.1016/j.crm.2021.100370
- Review article: A European perspective on wind and storm damage – from the meteorological background to index-based approaches to assess impacts D. Gliksman et al. 10.5194/nhess-23-2171-2023
- Tropical cyclones facilitate recovery of forest leaf area from dry spells in East Asia Y. Chen & S. Luyssaert 10.5194/bg-20-349-2023
- Using the International Tree-Ring Data Bank (ITRDB) records as century-long benchmarks for global land-surface models J. Jeong et al. 10.5194/gmd-14-5891-2021
- A joint framework for studying compound ecoclimatic events A. Bastos et al. 10.1038/s43017-023-00410-3
- Forest responses to simulated elevated CO2 under alternate hypotheses of size‐ and age‐dependent mortality J. Needham et al. 10.1111/gcb.15254
- Framework for assessing the windthrow risk to Norway spruce forests in Switzerland S. Maurer & H. Heinimann 10.1007/s10342-019-01251-w
- Improving the predictive capacity of the windthrow risk model ForestGALES with long-term monitoring data – A statistical calibration approach C. Stadelmann et al. 10.1016/j.foreco.2024.122389
- Dynamic ecosystem assembly and escaping the “fire trap” in the tropics: insights from FATES_15.0.0 J. Shuman et al. 10.5194/gmd-17-4643-2024
- Understanding the uncertainty in global forest carbon turnover T. Pugh et al. 10.5194/bg-17-3961-2020
- A spatially explicit database of wind disturbances in European forests over the period 2000–2018 G. Forzieri et al. 10.5194/essd-12-257-2020
- Effect of repeated pulling loads on Norway spruce (Picea abies (L.) Karst.) trees L. Marchi et al. 10.1016/j.foreco.2024.122071
- Emergent vulnerability to climate-driven disturbances in European forests G. Forzieri et al. 10.1038/s41467-021-21399-7
- Ecosystem heterogeneity is key to limiting the increasing climate-driven risks to European forests G. Forzieri et al. 10.1016/j.oneear.2024.10.005
1 citations as recorded by crossref.
Latest update: 04 Jan 2025
Short summary
The inclusion of process-based wind-throw damage simulation in Earth system models has been hampered by the big-leaf approach, which cannot provide the canopy structure information that is required. We adapted the physics from ForestGALES to calculate CWS on large scales. The new model included several numerically efficient solutions, such as handling the landscape heterogeneity, downscaling spatially and temporally aggregated wind fields, and downscaling storm damage within the 2500 km2 pixels.
The inclusion of process-based wind-throw damage simulation in Earth system models has been...
