The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
ORCHIDEE-MICT (v8.4.1), a land surface model for the high latitudes: model description and validation
Open accessAbstract
Abstract. The high-latitude regions of the Northern Hemisphere are a nexus for the interaction between land surface physical properties and their exchange of carbon and energy with the atmosphere. At these latitudes, two carbon pools of planetary significance – those of the permanently frozen soils (permafrost), and of the great expanse of boreal forest – are vulnerable to destabilization in the face of currently observed climatic warming, the speed and intensity of which are expected to increase with time. Improved projections of future Arctic and boreal ecosystem transformation require improved land surface models that integrate processes specific to these cold biomes. To this end, this study lays out relevant new parameterizations in the ORCHIDEE-MICT land surface model. These describe the interactions between soil carbon, soil temperature and hydrology, and their resulting feedbacks on water and CO2 fluxes, in addition to a recently developed fire module. Outputs from ORCHIDEE-MICT, when forced by two climate input datasets, are extensively evaluated against (i) temperature gradients between the atmosphere and deep soils, (ii) the hydrological components comprising the water balance of the largest high-latitude basins, and (iii) CO2 flux and carbon stock observations. The model performance is good with respect to empirical data, despite a simulated excessive plant water stress and a positive land surface temperature bias. In addition, acute model sensitivity to the choice of input forcing data suggests that the calibration of model parameters is strongly forcing-dependent. Overall, we suggest that this new model design is at the forefront of current efforts to reliably estimate future perturbations to the high-latitude terrestrial environment.
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Cites
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Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps
Baccini, A., Goetz, S. J., Walker, W. S., Laporte, N. T., Sun, M., Sulla-Menashe, D., Hackler, J., Beck, P. S. A., Dubayah, R., Friedl, M. A., et al. (2012) · Nature Climate Change · doi:10.1038/nclimate1354 · Cited by 1,788
SoilGrids1km — Global Soil Information Based on Automated Mapping
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Cited by
Pan, S., Pan, N., Tian, H., Friedlingstein, P., Sitch, S., Shi, H., Arora, V. K., Haverd, V., Jain, A. K., Kato, E., et al. (2020) · Hydrology and Earth System Sciences · doi:10.5194/hess-24-1485-2020 · Cited by 365
Self-citationLand-use emissions play a critical role in land-based mitigation for Paris climate targets
Harper, A. B., Powell, T., Cox, P. M., House, J., Huntingford, C., Lenton, T. M., Sitch, S., Burke, E., Chadburn, S. E., Collins, W. J., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05340-z · Cited by 335
“ORCHIDEE-MICT (v8 4.1) has an improved description of high-latitude hydrology and interactions between soil carbon and soil hydrology and thermal processes 69 .”
InfluentialSelf-citationChang, J., Ciais, P., Gasser, T., Smith, P., Herrero, M., Havlík, P., Obersteiner, M., Guenet, B., Goll, D. S., Li, W., et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20406-7 · Cited by 313
Self-citationSun, J., Wang, Y., Lee, T. M., Nie, X., Wang, T., Liang, E., Wang, Y., Zhang, L., Wang, J., Piao, S., et al. (2024) · Communications Earth & Environment · doi:10.1038/s43247-024-01330-w · Cited by 104
Self-citationPotential feedbacks between loss of biosphere integrity and climate change
Lade, S. J., Norberg, J., Anderies, J. M., Beer, C., Cornell, S. E., Donges, J. F., Fetzer, I., Gasser, T., Richardson, K., Rockström, J., et al. (2019) · Global Sustainability · doi:10.1017/sus.2019.18 · Cited by 20
Metadata
- Authors
- Guimberteau, M., Zhu, D., Maignan, F., Huang, Y., Yue, C., Dantec-Nédélec, S., Ottlé, C., Jornet-Puig, A., Bastos, A., Laurent, P., Goll, D., Bowring, S., Chang, J., Guenet, B., Tifafi, M., Peng, S., Krinner, G., Ducharne, A., Wang, F., Wang, T., Wang, X., Wang, Y., Yin, Z., Lauerwald, R., Joetzjer, E., Qiu, C., Kim, H., & Ciais, P.
- Venue
- Geoscientific Model Development
- Publisher
- Copernicus GmbH
- Published
- 2018-01-15
- Volume
- 11
- Issue
- 1
- Pages
- 121-163
- ISSN
- 1991-959X (ISSN-L)
- 1991-9603
- OpenAlex
- W2624978326
- Cited by
- 273
- References
- 5
- FWCI
- 14.52
- Type
- journal article
- Language
- en
- Open access
- gold
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- The paper
- Guimberteau, M., Zhu, D., Maignan, F., Huang, Y., Yue, C., Dantec-Nédélec, S., Ottlé, C., Jornet-Puig, A., Bastos, A., Laurent, P., Goll, D., Bowring, S., Chang, J., Guenet, B., Tifafi, M., Peng, S., Krinner, G., Ducharne, A., Wang, F., . . . Ciais, P. (2018). ORCHIDEE-MICT (v8.4.1), a land surface model for the high latitudes: model description and validation. Geoscientific Model Development. https://doi.org/10.5194/gmd-11-121-2018
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.