Quantifying uncertainty in crop model predictions due to the uncertainty in the observations used for calibration
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DOI: 10.1016/j.ecolmodel.2016.02.013
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- Confalonieri, R. & Bellocchi, G. & Bregaglio, S. & Donatelli, M. & Acutis, M., 2010. "Comparison of sensitivity analysis techniques: A case study with the rice model WARM," Ecological Modelling, Elsevier, vol. 221(16), pages 1897-1906.
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Cited by:
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- Ling, Xiaoxia & Deng, Nanyan & Xiong, Dongliang & Yuan, Shen & Peng, Shaobing & Li, Tao & Huang, Jianliang, 2023. "Effect of variation in the observations on the prediction uncertainty in crop model simulation: Use ORYZA (v3) as a case study," Ecological Modelling, Elsevier, vol. 476(C).
- Pagani, Valentina & Guarneri, Tommaso & Busetto, Lorenzo & Ranghetti, Luigi & Boschetti, Mirco & Movedi, Ermes & Campos-Taberner, Manuel & Garcia-Haro, Francisco Javier & Katsantonis, Dimitrios & Stav, 2019. "A high-resolution, integrated system for rice yield forecasting at district level," Agricultural Systems, Elsevier, vol. 168(C), pages 181-190.
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- Qinghua Guo & Wenliang Wu, 2023. "Application of Parameter Optimization Methods Based on Kalman Formula to the Soil—Crop System Model," IJERPH, MDPI, vol. 20(5), pages 1-16, March.
- Guadagno, C.R. & Millar, D. & Lai, R. & Mackay, D.S. & Pleban, J.R. & McClung, C.R. & Weinig, C. & Wang, D.R. & Ewers, B.E., 2020. "Use of transcriptomic data to inform biophysical models via Bayesian networks," Ecological Modelling, Elsevier, vol. 429(C).
- Schils, René L.M. & van Voorn, George A.K. & Grassini, Patricio & van Ittersum, Martin K., 2022. "Uncertainty is more than a number or colour: Involving experts in uncertainty assessments of yield gaps," Agricultural Systems, Elsevier, vol. 195(C).
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Keywords
Calibration; Latin hypercube sampling; Model uncertainty; Simplex optimization method; WARM;All these keywords.
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