Articles | Volume 10, issue 12
https://doi.org/10.5194/gmd-10-4693-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-4693-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
22 Dec 2017
Development and technical paper |
| 22 Dec 2017
Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0)
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ CE Orme des Merisiers, 91 190 Gif sur Yvette, France
CNRS, Univ. Grenoble Alpes, Institut des Géosciences de
l'Environnement (IGE), 38000 Grenoble, France
Philippe Peylin
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ CE Orme des Merisiers, 91 190 Gif sur Yvette, France
Gerhard Krinner
CNRS, Univ. Grenoble Alpes, Institut des Géosciences de
l'Environnement (IGE), 38000 Grenoble, France
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ CE Orme des Merisiers, 91 190 Gif sur Yvette, France
Nicolas Viovy
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ CE Orme des Merisiers, 91 190 Gif sur Yvette, France
Anna Peregon
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ CE Orme des Merisiers, 91 190 Gif sur Yvette, France
Institute of Soil Science and Agrochemistry, Siberian Branch Russian
Academy of Sciences (SB RAS), Novosibirsk, 630090, Ak. Lavrentieva ave.,
8/2, Russia
Vladislav Bastrikov
Laboratoire des Sciences du Climat et de l'Environnement,
CEA-CNRS-UVSQ CE Orme des Merisiers, 91 190 Gif sur Yvette, France
Natalya Kosykh
Institute of Soil Science and Agrochemistry, Siberian Branch Russian
Academy of Sciences (SB RAS), Novosibirsk, 630090, Ak. Lavrentieva ave.,
8/2, Russia
Nina Mironycheva-Tokareva
Institute of Soil Science and Agrochemistry, Siberian Branch Russian
Academy of Sciences (SB RAS), Novosibirsk, 630090, Ak. Lavrentieva ave.,
8/2, Russia
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33 citations as recorded by crossref.
- Allometry of two columnar cacti in a tropical deciduous forest E. Lezama-Delgado et al. 10.1007/s40415-022-00809-0
- Modeling the Effect of Moss Cover on Soil Temperature and Carbon Fluxes at a Tundra Site in Northeastern Siberia H. Park et al. 10.1029/2018JG004491
- Distribution modelling of vegetation types based on area frame survey data P. Horvath et al. 10.1111/avsc.12451
- Modeling the impact of spatiotemporal vegetation dynamics on groundwater recharge H. Anurag et al. 10.1016/j.jhydrol.2021.126584
- A New Process‐Based Soil Methane Scheme: Evaluation Over Arctic Field Sites With the ISBA Land Surface Model X. Morel et al. 10.1029/2018MS001329
- The pyrogeography of eastern boreal Canada from 1901 to 2012 simulated with the LPJ-LMfire model E. Chaste et al. 10.5194/bg-15-1273-2018
- The impact of tree canopy structure on understory variation in a boreal forest T. Majasalmi & M. Rautiainen 10.1016/j.foreco.2020.118100
- Spatio-temporal variations and uncertainty in land surface modelling for high latitudes: univariate response analysis D. Leibovici et al. 10.5194/bg-17-1821-2020
- Introducing water-stressed shrubland into the Canadian Land Surface Scheme S. Sun & D. Verseghy 10.1016/j.jhydrol.2019.124157
- Improving the representation of high-latitude vegetation distribution in dynamic global vegetation models P. Horvath et al. 10.5194/bg-18-95-2021
- Agricultural drift depositional simulation of a copper-based fungicide and its effects on non-target terrestrial and freshwater compartments A. Corapi et al. 10.1007/s10646-023-02647-6
- Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies With the ORCHIDEE Terrestrial Biosphere Model N. MacBean et al. 10.1029/2021GB007177
- Simulation of Drift Depositional Rate of the Fungicide Fosetyl and Its Effects on Non-vascular Plants: Study Case of the Epiphytic Lichen Pseudevernia furfuracea A. Corapi et al. 10.1007/s00244-022-00973-0
- Multivariable evaluation of land surface processes in forced and coupled modes reveals new error sources to the simulated water cycle in the IPSL (Institute Pierre Simon Laplace) climate model H. Mizuochi et al. 10.5194/hess-25-2199-2021
- A Study of Dominant Vegetation Phenology in a Sphagnum Mountain Peatland Using In Situ and Sentinel‐2 Observations R. Garisoain et al. 10.1029/2023JG007403
- Recent literature on lichens—251 J. Lendemer 10.1639/0007-2745-121.4.607
- Shrub encroachment interacts with environmental variation to reduce the albedo of alpine lichen heaths: an experimental study S. Reinhardt et al. 10.1111/njb.03314
- Mapping canopy traits over Québec using airborne and spaceborne imaging spectroscopy T. Miraglio et al. 10.1038/s41598-023-44384-0
- Impacts of altitudinal ecohydrological dynamic changes on water balance under warming climate in a watershed of the Qilian Mountains, China R. Huang et al. 10.1016/j.scitotenv.2023.168070
- An Overview of Parameterezations of Heat Transfer over Moss-Covered Surfaces in the Earth System Models V. Stepanenko et al. 10.1134/S0001433820020139
- Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem O. Azevedo et al. 10.3390/rs13132571
- ORCHIDEE-MICT (v8.4.1), a land surface model for the high latitudes: model description and validation M. Guimberteau et al. 10.5194/gmd-11-121-2018
- ORCHIDEE-PEAT (revision 4596), a model for northern peatland CO<sub>2</sub>, water, and energy fluxes on daily to annual scales C. Qiu et al. 10.5194/gmd-11-497-2018
- The Influence of Climate Change on Three Dominant Alpine Species under Different Scenarios on the Qinghai–Tibetan Plateau H. Hu et al. 10.3390/d13120682
- Constraining a land cover map with satellite-based aboveground biomass estimates over Africa G. Marie et al. 10.5194/gmd-15-2599-2022
- Snow and Climate: Feedbacks, Drivers, and Indices of Change C. Thackeray et al. 10.1007/s40641-019-00143-w
- Evaluation of the version 5.0 global land surface satellite (GLASS) leaf area index product derived from MODIS data J. Li & Z. Xiao 10.1080/01431161.2020.1797222
- Extending a land-surface model with <i>Sphagnum</i> moss to simulate responses of a northern temperate bog to whole ecosystem warming and elevated CO<sub>2</sub> X. Shi et al. 10.5194/bg-18-467-2021
- Modeling the Vegetation Dynamics of Northern Shrubs and Mosses in the ORCHIDEE Land Surface Model A. Druel et al. 10.1029/2018MS001531
- Capturing functional strategies and compositional dynamics in vegetation demographic models P. Buotte et al. 10.5194/bg-18-4473-2021
- On Integrating Size and Shape Distributions into a Spatio-Temporal Information Entropy Framework D. Leibovici & C. Claramunt 10.3390/e21111112
- The Global Land Surface Satellite (GLASS) Product Suite S. Liang et al. 10.1175/BAMS-D-18-0341.1
- Testing water fluxes and storage from two hydrology configurations within the ORCHIDEE land surface model across US semi-arid sites N. MacBean et al. 10.5194/hess-24-5203-2020
Latest update: 24 Apr 2024
Short summary
To improve the simulation of vegetation–climate feedbacks at high latitudes, three new circumpolar vegetation types were added in the ORCHIDEE land surface model: bryophytes (mosses) and lichens, Arctic shrubs, and Arctic grasses. This article is an introduction to the modification of vegetation distribution and physical behaviour, implying for example lower productivity, roughness, and higher winter albedo or freshwater discharge in the Arctic Ocean.
To improve the simulation of vegetation–climate feedbacks at high latitudes, three new...
