Articles | Volume 22, issue 10
https://doi.org/10.5194/hess-22-5463-2018
© 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/hess-22-5463-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluation of ORCHIDEE-MICT-simulated soil moisture over China and impacts of different atmospheric forcing data
Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Gif-sur-Yvette 91191, France
Catherine Ottlé
Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Gif-sur-Yvette 91191, France
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Gif-sur-Yvette 91191, France
Matthieu Guimberteau
Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Gif-sur-Yvette 91191, France
UMR 7619 METIS, Sorbonne Universités, UPMC, CNRS, EPHE, 4 place Jussieu, Paris 75005, France
Xuhui Wang
Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Gif-sur-Yvette 91191, France
Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Laboratoire de Météorologie Dynamique, UPMC/CNRS, IPSL, Paris 75005, France
Dan Zhu
Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Gif-sur-Yvette 91191, France
Fabienne Maignan
Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Gif-sur-Yvette 91191, France
Shushi Peng
Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Shilong Piao
Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Jan Polcher
Laboratoire de Météorologie Dynamique, UPMC/CNRS, IPSL, Paris 75005, France
Feng Zhou
Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Hyungjun Kim
Institute of Industrial Science, University of Tokyo, Tokyo, Japan
other China-Trend-Stream project members
A full list of the China-Trend-Stream project members and their affiliations appears at the end of the paper.
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Cited
14 citations as recorded by crossref.
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13 citations as recorded by crossref.
- Contributions of climate change and groundwater extraction to soil moisture trends L. Wang et al. 10.5194/esd-10-599-2019
- Spatio-temporal soil drying in southeastern South America: the importance of effective sampling frequency and observational errors on drydown time scale estimates R. Ruscica et al. 10.1080/01431161.2020.1767825
- Forest management in southern China generates short term extensive carbon sequestration X. Tong et al. 10.1038/s41467-019-13798-8
- Spatial synchrony in the start and end of the thermal growing season has different trends in the mid-high latitudes of the Northern Hemisphere F. Wu et al. 10.1088/1748-9326/ac3696
- Spatiotemporal variability in extreme precipitation and associated large-scale climate mechanisms in Central Asia from 1950 to 2019 W. Wei et al. 10.1016/j.jhydrol.2023.129417
- Irrigation, damming, and streamflow fluctuations of the Yellow River Z. Yin et al. 10.5194/hess-25-1133-2021
- Development and analysis of a long-term soil moisture data set in three different agroclimatic zones of South Africa L. Myeni et al. 10.17159/sajs.2021/7845
- The increase in extreme precipitation and its proportion over global land S. Li et al. 10.1016/j.jhydrol.2023.130456
- The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
- Weak sensitivity of the terrestrial water budget to global soil texture maps in the ORCHIDEE land surface model S. Tafasca et al. 10.5194/hess-24-3753-2020
- Nature-based Solutions can help restore degraded grasslands and increase carbon sequestration in the Tibetan Plateau J. Sun et al. 10.1038/s43247-024-01330-w
- Improvement of the Irrigation Scheme in the ORCHIDEE Land Surface Model and Impacts of Irrigation on Regional Water Budgets Over China Z. Yin et al. 10.1029/2019MS001770
- 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
1 citations as recorded by crossref.
Discussed (final revised paper)
Latest update: 14 Dec 2024
Short summary
Simulations in China were performed in ORCHIDEE driven by different forcing datasets: GSWP3, PGF, CRU-NCEP, and WFDEI. Simulated soil moisture was compared to several datasets to evaluate the ability of ORCHIDEE in reproducing soil moisture dynamics. Results showed that ORCHIDEE soil moisture coincided well with other datasets in wet areas and in non-irrigated areas. It suggested that the ORCHIDEE-MICT was suitable for further hydrological studies in China.
Simulations in China were performed in ORCHIDEE driven by different forcing datasets: GSWP3,...