Articles | Volume 7, issue 3
https://doi.org/10.5194/gmd-7-1225-2014
© Author(s) 2014. 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-7-1225-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
30 Jun 2014
Development and technical paper |
| 30 Jun 2014
Modeling sugarcane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values
A. Valade
LSCE, CEA-CNRS, Gif-sur-Yvette, 91191, France
LSCE, CEA-CNRS, Gif-sur-Yvette, 91191, France
N. Vuichard
LSCE, CEA-CNRS, Gif-sur-Yvette, 91191, France
LSCE, CEA-CNRS, Gif-sur-Yvette, 91191, France
A. Caubel
LSCE, CEA-CNRS, Gif-sur-Yvette, 91191, France
N. Huth
CSIRO. Ecosystem Sciences, P.O. Box 102, Toowoomba, Qld, 4350, Australia
F. Marin
EMBRAPA Informatica Agropecuria, Barão Geraldo, 13083-886 Campinas SP, Brazil
J.-F. Martiné
CIRAD, UR SCA, Saint-Denis, La Réunion, 97408, France
Viewed
Total article views: 6,166 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 Jan 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,635 | 3,262 | 269 | 6,166 | 223 | 186 |
- HTML: 2,635
- PDF: 3,262
- XML: 269
- Total: 6,166
- BibTeX: 223
- EndNote: 186
Total article views: 5,419 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Jun 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,313 | 2,903 | 203 | 5,419 | 213 | 180 |
- HTML: 2,313
- PDF: 2,903
- XML: 203
- Total: 5,419
- BibTeX: 213
- EndNote: 180
Total article views: 747 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 Jan 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 322 | 359 | 66 | 747 | 10 | 6 |
- HTML: 322
- PDF: 359
- XML: 66
- Total: 747
- BibTeX: 10
- EndNote: 6
Cited
14 citations as recorded by crossref.
- Revealing Climate-Induced Patterns in Crop Yields and the Water-Energy-Food-Carbon Nexus: Insights from the Pearl River Basin C. Ye et al. 10.3390/w16243693
- Sugarcane yield estimation through remote sensing time series and phenology metrics D. Dimov et al. 10.1016/j.atech.2022.100046
- Evaluation of a Phenology-Dependent Response Method for Estimating Leaf Area Index of Rice Across Climate Gradients B. Lee et al. 10.3390/rs9010020
- Equality testing for soil grid unit resolutions to polygon unit scales with DNDC modeling of regional SOC pools D. Yu et al. 10.1007/s11769-017-0887-5
- Consistent negative response of US crops to high temperatures in observations and crop models B. Schauberger et al. 10.1038/ncomms13931
- ORCHIDEE-CROP (v0), a new process-based agro-land surface model: model description and evaluation over Europe X. Wu et al. 10.5194/gmd-9-857-2016
- Skilful rainfall forecasts from artificial neural networks with long duration series and single-month optimization J. Abbot & J. Marohasy 10.1016/j.atmosres.2017.07.015
- A global dataset on phosphorus in agricultural soils B. Ringeval et al. 10.1038/s41597-023-02751-6
- Management outweighs climate change on affecting length of rice growing period for early rice and single rice in China during 1991–2012 X. Wang et al. 10.1016/j.agrformet.2016.10.016
- Crop Parameters for Modeling Sugarcane under Rainfed Conditions in Mexico A. Baez-Gonzalez et al. 10.3390/su9081337
- Assessment of the Potential Impacts of Wheat Plant Traits across Environments by Combining Crop Modeling and Global Sensitivity Analysis P. Casadebaig et al. 10.1371/journal.pone.0146385
- Sample size, range of parameters and time-dependent effects on global sensitivity analysis in sugarcane modelling R. Pereira et al. 10.1017/S0021859624000030
- Parameterization-induced uncertainties and impacts of crop management harmonization in a global gridded crop model ensemble C. Folberth et al. 10.1371/journal.pone.0221862
- The Global Gridded Crop Model Intercomparison: data and modeling protocols for Phase 1 (v1.0) J. Elliott et al. 10.5194/gmd-8-261-2015
14 citations as recorded by crossref.
- Revealing Climate-Induced Patterns in Crop Yields and the Water-Energy-Food-Carbon Nexus: Insights from the Pearl River Basin C. Ye et al. 10.3390/w16243693
- Sugarcane yield estimation through remote sensing time series and phenology metrics D. Dimov et al. 10.1016/j.atech.2022.100046
- Evaluation of a Phenology-Dependent Response Method for Estimating Leaf Area Index of Rice Across Climate Gradients B. Lee et al. 10.3390/rs9010020
- Equality testing for soil grid unit resolutions to polygon unit scales with DNDC modeling of regional SOC pools D. Yu et al. 10.1007/s11769-017-0887-5
- Consistent negative response of US crops to high temperatures in observations and crop models B. Schauberger et al. 10.1038/ncomms13931
- ORCHIDEE-CROP (v0), a new process-based agro-land surface model: model description and evaluation over Europe X. Wu et al. 10.5194/gmd-9-857-2016
- Skilful rainfall forecasts from artificial neural networks with long duration series and single-month optimization J. Abbot & J. Marohasy 10.1016/j.atmosres.2017.07.015
- A global dataset on phosphorus in agricultural soils B. Ringeval et al. 10.1038/s41597-023-02751-6
- Management outweighs climate change on affecting length of rice growing period for early rice and single rice in China during 1991–2012 X. Wang et al. 10.1016/j.agrformet.2016.10.016
- Crop Parameters for Modeling Sugarcane under Rainfed Conditions in Mexico A. Baez-Gonzalez et al. 10.3390/su9081337
- Assessment of the Potential Impacts of Wheat Plant Traits across Environments by Combining Crop Modeling and Global Sensitivity Analysis P. Casadebaig et al. 10.1371/journal.pone.0146385
- Sample size, range of parameters and time-dependent effects on global sensitivity analysis in sugarcane modelling R. Pereira et al. 10.1017/S0021859624000030
- Parameterization-induced uncertainties and impacts of crop management harmonization in a global gridded crop model ensemble C. Folberth et al. 10.1371/journal.pone.0221862
- The Global Gridded Crop Model Intercomparison: data and modeling protocols for Phase 1 (v1.0) J. Elliott et al. 10.5194/gmd-8-261-2015
Saved (final revised paper)
Saved (preprint)
Latest update: 22 Feb 2025
