IDEAS home Printed from https://ideas.repec.org/r/eee/ecomod/v221y2010i16p1897-1906.html
   My bibliography  Save this item

Comparison of sensitivity analysis techniques: A case study with the rice model WARM

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Francisco A. Buendia-Hernandez & Maria J. Ortiz Bevia & Francisco J. Alvarez-Garcia & Antonio Ruizde Elvira, 2022. "Sensitivity of a Dynamic Model of Air Traffic Emissions to Technological and Environmental Factors," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
  2. Dzotsi, K.A. & Basso, B. & Jones, J.W., 2013. "Development, uncertainty and sensitivity analysis of the simple SALUS crop model in DSSAT," Ecological Modelling, Elsevier, vol. 260(C), pages 62-76.
  3. Melbourne-Thomas, J. & Johnson, C.R. & Fulton, E.A., 2011. "Characterizing sensitivity and uncertainty in a multiscale model of a complex coral reef system," Ecological Modelling, Elsevier, vol. 222(18), pages 3320-3334.
  4. Paleari, Livia & Confalonieri, Roberto, 2016. "Sensitivity analysis of a sensitivity analysis: We are likely overlooking the impact of distributional assumptions," Ecological Modelling, Elsevier, vol. 340(C), pages 57-63.
  5. Fruth, J. & Roustant, O. & Kuhnt, S., 2015. "Sequential designs for sensitivity analysis of functional inputs in computer experiments," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 260-267.
  6. Frédéric Branger & Louis-Gaëtan Giraudet & Céline Guivarch & Philippe Quirion, 2014. "Sensitivity analysis of an energy-economy model of the residential building sector," Working Papers hal-01016399, HAL.
  7. Ben Touhami, Haythem & Lardy, Romain & Barra, Vincent & Bellocchi, Gianni, 2013. "Screening parameters in the Pasture Simulation model using the Morris method," Ecological Modelling, Elsevier, vol. 266(C), pages 42-57.
  8. López-Benito, Alfredo & Bolado-Lavín, Ricardo, 2017. "A case study on global sensitivity analysis with dependent inputs: The natural gas transmission model," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 11-21.
  9. Myrgiotis, Vasileios & Rees, Robert M. & Topp, Cairistiona F.E. & Williams, Mathew, 2018. "A systematic approach to identifying key parameters and processes in agroecosystem models," Ecological Modelling, Elsevier, vol. 368(C), pages 344-356.
  10. Gilardelli, Carlo & Confalonieri, Roberto & Cappelli, Giovanni Alessandro & Bellocchi, Gianni, 2018. "Sensitivity of WOFOST-based modelling solutions to crop parameters under climate change," Ecological Modelling, Elsevier, vol. 368(C), pages 1-14.
  11. Silva, R. & Pérez, M. & Berenguel, M. & Valenzuela, L. & Zarza, E., 2014. "Uncertainty and global sensitivity analysis in the design of parabolic-trough direct steam generation plants for process heat applications," Applied Energy, Elsevier, vol. 121(C), pages 233-244.
  12. Liu, Min & He, Honglin & Ren, Xiaoli & Sun, Xiaomin & Yu, Guirui & Han, Shijie & Wang, Huimin & Zhou, Guoyi, 2015. "The effects of constraining variables on parameter optimization in carbon and water flux modeling over different forest ecosystems," Ecological Modelling, Elsevier, vol. 303(C), pages 30-41.
  13. Xenia Specka & Claas Nendel & Ralf Wieland, 2019. "Temporal Sensitivity Analysis of the MONICA Model: Application of Two Global Approaches to Analyze the Dynamics of Parameter Sensitivity," Agriculture, MDPI, vol. 9(2), pages 1-29, February.
  14. Olaru, Doina & Purchase, Sharon, 2014. "Rethinking validation: Efficient search of the space of parameters for an agent-based model," Australasian marketing journal, Elsevier, vol. 22(1), pages 60-68.
  15. Confalonieri, R. & Bregaglio, S. & Acutis, M., 2012. "Quantifying plasticity in simulation models," Ecological Modelling, Elsevier, vol. 225(C), pages 159-166.
  16. Abdelaziz A. Abdelhamid & El-Sayed M. El-Kenawy & Fadwa Alrowais & Abdelhameed Ibrahim & Nima Khodadadi & Wei Hong Lim & Nuha Alruwais & Doaa Sami Khafaga, 2022. "Deep Learning with Dipper Throated Optimization Algorithm for Energy Consumption Forecasting in Smart Households," Energies, MDPI, vol. 15(23), pages 1-25, December.
  17. Priyadarshi, Anupam & Chandra, Ram & Kishi, Michio J. & Smith, S.Lan & Yamazaki, Hidekatsu, 2022. "Understanding plankton ecosystem dynamics under realistic micro-scale variability requires modeling at least three trophic levels," Ecological Modelling, Elsevier, vol. 467(C).
  18. Paleari, Livia & Movedi, Ermes & Zoli, Michele & Burato, Andrea & Cecconi, Irene & Errahouly, Jabir & Pecollo, Eleonora & Sorvillo, Carla & Confalonieri, Roberto, 2021. "Sensitivity analysis using Morris: Just screening or an effective ranking method?," Ecological Modelling, Elsevier, vol. 455(C).
  19. Maiorano, Andrea & Bregaglio, Simone & Donatelli, Marcello & Fumagalli, Davide & Zucchini, Antonio, 2012. "Comparison of modelling approaches to simulate the phenology of the European corn borer under future climate scenarios," Ecological Modelling, Elsevier, vol. 245(C), pages 65-74.
  20. Jin Tian & Yue Li, 2014. "Factors influencing cost-effectiveness of maintenance of power distribution poles subjected to hurricanes: a system-dynamics-based analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(2), pages 633-650, June.
  21. Kanapaux, William & Kiker, Gregory A., 2013. "Development and testing of an object-oriented model for adaptively managing human disturbance of least tern (Sternula antillarum) nesting habitat," Ecological Modelling, Elsevier, vol. 268(C), pages 64-77.
  22. Hjelkrem, Anne-Grete Roer & Höglind, Mats & van Oijen, Marcel & Schellberg, Jürgen & Gaiser, Thomas & Ewert, Frank, 2017. "Sensitivity analysis and Bayesian calibration for testing robustness of the BASGRA model in different environments," Ecological Modelling, Elsevier, vol. 359(C), pages 80-91.
  23. Su, Ziyi & Li, Xiaofeng, 2022. "Extraction of key parameters and simplification of sub-system energy models using sensitivity analysis in subway stations," Energy, Elsevier, vol. 261(PA).
  24. Ciric, C. & Ciffroy, P. & Charles, S., 2012. "Use of sensitivity analysis to identify influential and non-influential parameters within an aquatic ecosystem model," Ecological Modelling, Elsevier, vol. 246(C), pages 119-130.
  25. DeJonge, Kendall C. & Ascough, James C. & Ahmadi, Mehdi & Andales, Allan A. & Arabi, Mazdak, 2012. "Global sensitivity and uncertainty analysis of a dynamic agroecosystem model under different irrigation treatments," Ecological Modelling, Elsevier, vol. 231(C), pages 113-125.
  26. Zhang, Jing & Chen, Yi & Zhang, Zhao, 2020. "A remote sensing-based scheme to improve regional crop model calibration at sub-model component level," Agricultural Systems, Elsevier, vol. 181(C).
  27. Senga Kiessé, Tristan & Corson, Michael S. & Eugène, Maguy & Aubin, Joël & Wilfart, Aurélie, 2019. "Analysis of enteric methane emissions due to extreme variations in management practices of dairy-production systems," Agricultural Systems, Elsevier, vol. 173(C), pages 449-457.
  28. Confalonieri, Roberto & Bregaglio, Simone & Acutis, Marco, 2016. "Quantifying uncertainty in crop model predictions due to the uncertainty in the observations used for calibration," Ecological Modelling, Elsevier, vol. 328(C), pages 72-77.
  29. Frédéric Branger & Louis-Gaëtan Giraudet & Céline Guivarch & Philippe Quirion, 2015. "Global sensitivity analysis of an energy-economy model of the residential building sector," Policy Papers 2015.01, FAERE - French Association of Environmental and Resource Economists.
  30. Li, Zhuo Ting & Yang, J.Y. & Drury, C.F. & Hoogenboom, G., 2015. "Evaluation of the DSSAT-CSM for simulating yield and soil organic C and N of a long-term maize and wheat rotation experiment in the Loess Plateau of Northwestern China," Agricultural Systems, Elsevier, vol. 135(C), pages 90-104.
  31. El-Sayed M. El-kenawy & Fahad Albalawi & Sayed A. Ward & Sherif S. M. Ghoneim & Marwa M. Eid & Abdelaziz A. Abdelhamid & Nadjem Bailek & Abdelhameed Ibrahim, 2022. "Feature Selection and Classification of Transformer Faults Based on Novel Meta-Heuristic Algorithm," Mathematics, MDPI, vol. 10(17), pages 1-28, September.
  32. Hanqing Ma & Chunfeng Ma & Xin Li & Wenping Yuan & Zhengjia Liu & Gaofeng Zhu, 2020. "Sensitivity and Uncertainty Analyses of Flux-based Ecosystem Model towards Improvement of Forest GPP Simulation," Sustainability, MDPI, vol. 12(7), pages 1-18, March.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.