Articles | Volume 13, issue 8
https://doi.org/10.5194/hess-13-1467-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-13-1467-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
14 Aug 2009
Calibration of a crop model to irrigated water use using a genetic algorithm
T. Bulatewicz
Kansas State University, Department of Computing and Information Sciences, USA
W. Jin
Kansas State University, Department of Agronomy, USA
S. Staggenborg
Kansas State University, Department of Agronomy, USA
S. Lauwo
Kansas State University, Department of Civil Engineering, USA
M. Miller
Kansas State University, Department of Computing and Information Sciences, USA
S. Das
Kansas State University, Department of Electrical and Computer Engineering, USA
D. Andresen
Kansas State University, Department of Computing and Information Sciences, USA
J. Peterson
Kansas State University, Department of Agricultural Economics, USA
D. R. Steward
Kansas State University, Department of Civil Engineering, USA
S. M. Welch
Kansas State University, Department of Agronomy, USA
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Cited
13 citations as recorded by crossref.
- Assessing optimal set of implemented physical parameterization schemes in a multi-physics land surface model using genetic algorithm S. Hong et al. 10.5194/gmd-7-2517-2014
- The Simple Script Wrapper for OpenMI: Enabling interdisciplinary modeling studies T. Bulatewicz et al. 10.1016/j.envsoft.2012.07.006
- Conserving the Ogallala Aquifer in southwestern Kansas: from the wells to people, a holistic coupled natural–human model J. Aistrup et al. 10.5194/hess-21-6167-2017
- An integrated crop model and GIS decision support system for assisting agronomic decision making under climate change M. Kadiyala et al. 10.1016/j.scitotenv.2015.03.097
- A multiple and ensembling approach for calibration and evaluation of genetic coefficients of CERES-Maize to simulate maize phenology and yield in Michigan P. Jha et al. 10.1016/j.envsoft.2020.104901
- Effects of automatic multi-objective optimization of crop models on corn yield reproducibility in the U.S.A. K. Tatsumi 10.1016/j.ecolmodel.2015.11.006
- Accessible integration of agriculture, groundwater, and economic models using the Open Modeling Interface (OpenMI): methodology and initial results T. Bulatewicz et al. 10.5194/hess-14-521-2010
- A distributed data component for the Open Modeling Interface T. Bulatewicz et al. 10.1016/j.envsoft.2014.02.017
- Calibration and Evaluation of the SIMPLE Crop Growth Model Applied to the Common Bean under Irrigation M. Servín-Palestina et al. 10.3390/agronomy14050917
- Review of application of EPIC crop growth model Z. Wang et al. 10.1016/j.ecolmodel.2022.109952
- Using farm accountancy data to calibrate a crop model for climate impact studies T. Klein et al. 10.1016/j.agsy.2012.05.001
- Uncertainty-based auto-calibration for crop yield – the EPIC+ procedure for a case study in Sub-Saharan Africa B. Kamali et al. 10.1016/j.eja.2017.10.012
- Sensitivity analysis and auto-calibration of ORYZA2000 using simulation-optimization framework B. Soundharajan & K. Sudheer 10.1007/s10333-011-0293-z
13 citations as recorded by crossref.
- Assessing optimal set of implemented physical parameterization schemes in a multi-physics land surface model using genetic algorithm S. Hong et al. 10.5194/gmd-7-2517-2014
- The Simple Script Wrapper for OpenMI: Enabling interdisciplinary modeling studies T. Bulatewicz et al. 10.1016/j.envsoft.2012.07.006
- Conserving the Ogallala Aquifer in southwestern Kansas: from the wells to people, a holistic coupled natural–human model J. Aistrup et al. 10.5194/hess-21-6167-2017
- An integrated crop model and GIS decision support system for assisting agronomic decision making under climate change M. Kadiyala et al. 10.1016/j.scitotenv.2015.03.097
- A multiple and ensembling approach for calibration and evaluation of genetic coefficients of CERES-Maize to simulate maize phenology and yield in Michigan P. Jha et al. 10.1016/j.envsoft.2020.104901
- Effects of automatic multi-objective optimization of crop models on corn yield reproducibility in the U.S.A. K. Tatsumi 10.1016/j.ecolmodel.2015.11.006
- Accessible integration of agriculture, groundwater, and economic models using the Open Modeling Interface (OpenMI): methodology and initial results T. Bulatewicz et al. 10.5194/hess-14-521-2010
- A distributed data component for the Open Modeling Interface T. Bulatewicz et al. 10.1016/j.envsoft.2014.02.017
- Calibration and Evaluation of the SIMPLE Crop Growth Model Applied to the Common Bean under Irrigation M. Servín-Palestina et al. 10.3390/agronomy14050917
- Review of application of EPIC crop growth model Z. Wang et al. 10.1016/j.ecolmodel.2022.109952
- Using farm accountancy data to calibrate a crop model for climate impact studies T. Klein et al. 10.1016/j.agsy.2012.05.001
- Uncertainty-based auto-calibration for crop yield – the EPIC+ procedure for a case study in Sub-Saharan Africa B. Kamali et al. 10.1016/j.eja.2017.10.012
- Sensitivity analysis and auto-calibration of ORYZA2000 using simulation-optimization framework B. Soundharajan & K. Sudheer 10.1007/s10333-011-0293-z
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