메뉴 건너뛰기




Volumn 2, Issue , 2015, Pages 365-393

Estimating DSSAT cropping system cultivar-specific parameters using bayesian techniques

Author keywords

Bayesian techniques; CERES; Crop variables; Cultivar specific parameters; DSSAT cropping system; Generalized likelihood uncertainty estimation; Maize; Soybean

Indexed keywords


EID: 85102473628     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.2134/advagricsystmodel2.c13     Document Type: Chapter
Times cited : (87)

References (65)
  • 1
    • 0036646801 scopus 로고    scopus 로고
    • Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE
    • Aronica, G., P.D. Bates, and M.S. Horritt. 2002. Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE. Hydrol. Processes 16:2001-2016.
    • (2002) Hydrol. Processes , vol.16 , pp. 2001-2016
    • Aronica, G.1    Bates, P.D.2    Horritt, M.S.3
  • 2
    • 0031747899 scopus 로고    scopus 로고
    • On the use of Bayesian methods for evaluating com- partmental neural models
    • Baldi, P.F., M.C. Vanier, and J.M. Bower. 1998. On the use of Bayesian methods for evaluating com- partmental neural models. J. Comput. Neurosci. 5:285-314.
    • (1998) J. Comput. Neurosci. , vol.5 , pp. 285-314
    • Baldi, P.F.1    Vanier, M.C.2    Bower, J.M.3
  • 3
    • 38949129104 scopus 로고    scopus 로고
    • Weather analog: A tool for real-time prediction of daily weather data realizations based on a modified K-nearest neighbor approach
    • Bannayan, M., and G. Hoogenboom. 2008. Weather analog: A tool for real-time prediction of daily weather data realizations based on a modified K-nearest neighbor approach. Environ. Model. Softw. 23:703-713.
    • (2008) Environ. Model. Softw. , vol.23 , pp. 703-713
    • Bannayan, M.1    Hoogenboom, G.2
  • 4
    • 77649261255 scopus 로고    scopus 로고
    • Under what circumstances can process-based simulation models link genotype to phenotype for complex traits? Case study of fruit and grain quality traits
    • Bertin, N., P. Martre, M. Genard, B. Quilot, and C. Salon. 2009. Under what circumstances can process-based simulation models link genotype to phenotype for complex traits? Case study of fruit and grain quality traits. J. Exp. Bot. 61:955-967, doi:10.1093/jxb/erp377.
    • (2009) J. Exp. Bot. , vol.61 , pp. 955-967
    • Bertin, N.1    Martre, P.2    Genard, M.3    Quilot, B.4    Salon, C.5
  • 5
    • 0027009437 scopus 로고
    • The future of distributed models: Model calibration and uncertainty prediction
    • Beven, K., and A. Binley. 1992. The future of distributed models: Model calibration and uncertainty prediction. Hydrol. Processes 6:279-298.
    • (1992) Hydrol. Processes , vol.6 , pp. 279-298
    • Beven, K.1    Binley, A.2
  • 6
    • 0035426008 scopus 로고    scopus 로고
    • Equifinality, data assimilation, and uncertainty estimation in mechanistic modeling of complex environmental systems using the GLUE methodology
    • Beven, K., and J. Freer. 2001. Equifinality, data assimilation, and uncertainty estimation in mechanistic modeling of complex environmental systems using the GLUE methodology. J. Hydrol. 249:11-29.
    • (2001) J. Hydrol. , vol.249 , pp. 11-29
    • Beven, K.1    Freer, J.2
  • 7
    • 0027298224 scopus 로고
    • Exploring parameter space in detailed single neuron models: Simulations of the mitral and granule cells of the olfactory-bulb
    • Bhalla, U.S., and J.M. Bower. 1993. Exploring parameter space in detailed single neuron models: Simulations of the mitral and granule cells of the olfactory-bulb. J. Neurophysiol. 69:1948-1965.
    • (1993) J. Neurophysiol. , vol.69 , pp. 1948-1965
    • Bhalla, U.S.1    Bower, J.M.2
  • 8
    • 40849146963 scopus 로고    scopus 로고
    • Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling
    • Blasone, R.S., J.A. Vrugt, H. Madsen, D. Rosbjerg, B.A. Robinson, and G.A. Zyvoloski. 2008. Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling. Adv. Water Resour. 31:630-648.
    • (2008) Adv. Water Resour. , vol.31 , pp. 630-648
    • Blasone, R.S.1    Vrugt, J.A.2    Madsen, H.3    Rosbjerg, D.4    Robinson, B.A.5    Zyvoloski, G.A.6
  • 9
    • 0005664141 scopus 로고    scopus 로고
    • Concepts for calibrating crop growth models
    • G. Hoogenboom, P.W. Wilkens, and G.Y. Tsuji (ed.) University of Hawaii, Honolulu.
    • Boote, K.J. 1999. Concepts for calibrating crop growth models. p. 179-200. In G. Hoogenboom, P.W. Wilkens, and G.Y. Tsuji (ed.) DSSAT Version 3. A Decision Support system for Agrotechnology Transfer. Vol. 4. University of Hawaii, Honolulu.
    • (1999) DSSAT Version 3. A Decision Support system for Agrotechnology Transfer , vol.4 , pp. 179-200
    • Boote, K.J.1
  • 10
    • 0037262195 scopus 로고    scopus 로고
    • Genetic coefficients in the CROPGRO-Soybean model: Links to field performance and genomics
    • Boote, K.J., J.W. Jones, W.D. Batchelor, E.D. Nafziger, and O. Myers. 2003. Genetic coefficients in the CROPGRO-Soybean model: Links to field performance and genomics. Agron. J. 95:32-51.
    • (2003) Agron. J. , vol.95 , pp. 32-51
    • Boote, K.J.1    Jones, J.W.2    Batchelor, W.D.3    Nafziger, E.D.4    Myers, O.5
  • 11
    • 0034769816 scopus 로고    scopus 로고
    • Physiology and modeling of traits in crop plants: Implications for genetic improvement
    • Boote, K.J., M.J. Kropff, and P.S. Bindraban. 2001. Physiology and modeling of traits in crop plants: Implications for genetic improvement. Agric. Syst. 70:395-420.
    • (2001) Agric. Syst. , vol.70 , pp. 395-420
    • Boote, K.J.1    Kropff, M.J.2    Bindraban, P.S.3
  • 12
    • 0035505081 scopus 로고    scopus 로고
    • Implications of model uncertainty for the mapping of hillslope-scale soil erosion predictions
    • Brazier, R.E., K.J. Beven, S.G. Anthony, and J.S. Rowan. 2001. Implications of model uncertainty for the mapping of hillslope-scale soil erosion predictions. Earth Surf. Process. Landf. 26:1333-1352.
    • (2001) Earth Surf. Process. Landf. , vol.26 , pp. 1333-1352
    • Brazier, R.E.1    Beven, K.J.2    Anthony, S.G.3    Rowan, J.S.4
  • 13
    • 0032928851 scopus 로고    scopus 로고
    • A Bayesian approach to parameter estimation and pooling in nonlinear flood event models
    • Campbell, E.P., D.R. Fox, and B.C. Bates. 1999. A Bayesian approach to parameter estimation and pooling in nonlinear flood event models. Water Resour. Res. 35:211-220.
    • (1999) Water Resour. Res. , vol.35 , pp. 211-220
    • Campbell, E.P.1    Fox, D.R.2    Bates, B.C.3
  • 14
    • 0040822553 scopus 로고    scopus 로고
    • Robust parameter selection for compartmental models of neurons using evolutionary algorithms
    • In J.M. Bower (ed.) Plenum Publishing, New York.
    • Eichler-West, R., and G. Wilcox. 1997. Robust parameter selection for compartmental models of neurons using evolutionary algorithms. In J.M. Bower (ed.) Computational neuroscience: Trends in research 1997. Plenum Publishing, New York.
    • (1997) Computational neuroscience: Trends in research 1997
    • Eichler-West, R.1    Wilcox, G.2
  • 15
    • 0034987501 scopus 로고    scopus 로고
    • Stochastic capture zone delineation within the generalized likelihood uncertainty estimation methodology: Conditioning on head observations
    • Feyen, L., K.J. Beven, F. De Smedt, and J. Freer. 2001. Stochastic capture zone delineation within the generalized likelihood uncertainty estimation methodology: Conditioning on head observations. Water Resour. Res. 37:625-638.
    • (2001) Water Resour. Res. , vol.37 , pp. 625-638
    • Feyen, L.1    Beven, K.J.2    De Smedt, F.3    Freer, J.4
  • 16
    • 0027724150 scopus 로고
    • Significance of conductances in Hodgkin-Huxley models
    • Foster, W.R., L.H. Ungar, and J.S. Schwaber. 1993. Significance of conductances in Hodgkin-Huxley models. J. Neurophysiol. 70:2502-2518.
    • (1993) J. Neurophysiol. , vol.70 , pp. 2502-2518
    • Foster, W.R.1    Ungar, L.H.2    Schwaber, J.S.3
  • 17
    • 0030791694 scopus 로고    scopus 로고
    • On the sensitivity of soil-vegetation- atmosphere transfer (SVAT) schemes: Equifinality and the problem of robust calibration
    • Franks, S.W., K.J. Beven, P.F. Quinn, and I.R. Wright. 1997. On the sensitivity of soil-vegetation- atmosphere transfer (SVAT) schemes: Equifinality and the problem of robust calibration. Agric. For. Meteorol. 86:63-75.
    • (1997) Agric. For. Meteorol. , vol.86 , pp. 63-75
    • Franks, S.W.1    Beven, K.J.2    Quinn, P.F.3    Wright, I.R.4
  • 18
    • 0031898095 scopus 로고    scopus 로고
    • On constraining the predichons of a distributed model: The incorporation of fuzzy estimates of saturated areas into the calibration process
    • Franks, S.W., P. Gineste, K.J. Beven, and P. Merot. 1998. On constraining the predichons of a distributed model: The incorporation of fuzzy estimates of saturated areas into the calibration process. Water Resour. Res. 34:787-797.
    • (1998) Water Resour. Res. , vol.34 , pp. 787-797
    • Franks, S.W.1    Gineste, P.2    Beven, K.J.3    Merot, P.4
  • 19
    • 0029659801 scopus 로고    scopus 로고
    • Bayesian estimation of uncertainty in runoff prediction and the value of data: An application of the GLUE approach
    • Freer, J., K.J. Beven, and B. Ambroise. 1996. Bayesian estimation of uncertainty in runoff prediction and the value of data: An application of the GLUE approach. Water Resour. Res. 32:2161-2173.
    • (1996) Water Resour. Res. , vol.32 , pp. 2161-2173
    • Freer, J.1    Beven, K.J.2    Ambroise, B.3
  • 20
    • 0000279883 scopus 로고
    • Parameter estimation for predicting flowering date of soybean cultivars
    • Grimm, S.S., J.W. Jones, K.J. Boote, and J.D. Hesketh. 1993. Parameter estimation for predicting flowering date of soybean cultivars. Crop Sci. 33:137-144.
    • (1993) Crop Sci. , vol.33 , pp. 137-144
    • Grimm, S.S.1    Jones, J.W.2    Boote, K.J.3    Hesketh, J.D.4
  • 21
    • 0035366980 scopus 로고    scopus 로고
    • Using CFD in a GLUE framework to model the flow and dispersion characteristics of a natural fluvial dead zone
    • Hankin, B.G., R. Hardy, H. Kettle, and K.J. Beven. 2001. Using CFD in a GLUE framework to model the flow and dispersion characteristics of a natural fluvial dead zone. Earth Surf. Process. Landf. 26:667-687.
    • (2001) Earth Surf. Process. Landf. , vol.26 , pp. 667-687
    • Hankin, B.G.1    Hardy, R.2    Kettle, H.3    Beven, K.J.4
  • 22
    • 30944446805 scopus 로고    scopus 로고
    • Equifinality and sensitivity in freezing and thawing simulations of laboratory and in situ data
    • Hansson, K., and C. Lundin. 2006. Equifinality and sensitivity in freezing and thawing simulations of laboratory and in situ data. Cold Reg. Sci. Technol. 44:20-37.
    • (2006) Cold Reg. Sci. Technol. , vol.44 , pp. 20-37
    • Hansson, K.1    Lundin, C.2
  • 23
    • 76249120601 scopus 로고    scopus 로고
    • Best management practice development with the CERES-Maize model for sweet corn production in North Florida
    • Ph.D. diss. Agricultural and Biological Engineering Dep., University of Florida, Gainesville.
    • He, J. 2008. Best management practice development with the CERES-Maize model for sweet corn production in North Florida. Ph.D. diss. Agricultural and Biological Engineering Dep., University of Florida, Gainesville.
    • (2008)
    • He, J.1
  • 24
    • 76249128941 scopus 로고    scopus 로고
    • Applying GLUE for estimating CERES- Maize genetic and soil parameters for sweet corn production
    • He, J., M.D. Dukes, J.W. Jones, W.D. Graham, and J. Judge. 2009. Applying GLUE for estimating CERES- Maize genetic and soil parameters for sweet corn production. Trans. ASABE 52:1907-1921.
    • (2009) Trans. ASABE , vol.52 , pp. 1907-1921
    • He, J.1    Dukes, M.D.2    Jones, J.W.3    Graham, W.D.4    Judge, J.5
  • 25
    • 77951105459 scopus 로고    scopus 로고
    • Influence of likelihood function choice for estimating crop model parameters using the generalized likelihood uncertainty estimation method
    • He, J., J.W. Jones, W.D. Graham, and M.D. Dukes. 2010. Influence of likelihood function choice for estimating crop model parameters using the generalized likelihood uncertainty estimation method. Agric. Syst. 103:256-264, doi:10.1016/j.agsy.2010.01.006.
    • (2010) Agric. Syst. , vol.103 , pp. 256-264
    • He, J.1    Jones, J.W.2    Graham, W.D.3    Dukes, M.D.4
  • 29
    • 77956456689 scopus 로고    scopus 로고
    • Development, Testing, and Sensitivity and Uncertainty Analyses of a Transport and Reaction Simulation Engine (TaRSE) for Spatially Distributed Modeling of Phosphorus in South Florida Peat Marsh Wetlands.
    • Scientific Investigations Rep. 2008-5029. USGS, Reston, VA.
    • Jawitz, J.W., R. Munoz-Carpena, S. Muller, K.A. Grace, and A.I. James. 2008. Development, Testing, and Sensitivity and Uncertainty Analyses of a Transport and Reaction Simulation Engine (TaRSE) for Spatially Distributed Modeling of Phosphorus in South Florida Peat Marsh Wetlands. Scientific Investigations Rep. 2008-5029. USGS, Reston, VA.
    • (2008)
    • Jawitz, J.W.1    Munoz-Carpena, R.2    Muller, S.3    Grace, K.A.4    James, A.I.5
  • 30
    • 0942296018 scopus 로고    scopus 로고
    • Parameter and uncertainty estimati on in groundwater modeling.
    • Ph.D. diss. Series Paper 23. Dep. of Civil Engineering, Aalborg Univ., Denmark.
    • Jensen, J.B. 2003. Parameter and uncertainty estimati on in groundwater modeling. Ph.D. diss. Series Paper 23. Dep. of Civil Engineering, Aalborg Univ., Denmark.
    • (2003)
    • Jensen, J.B.1
  • 32
    • 0034769866 scopus 로고    scopus 로고
    • Approaches to modular model development
    • Jones, J.W., B.A. Keating, and C.H. Porter. 2001. Approaches to modular model development. Agric. Syst. 70:421-443.
    • (2001) Agric. Syst. , vol.70 , pp. 421-443
    • Jones, J.W.1    Keating, B.A.2    Porter, C.H.3
  • 35
    • 0344938263 scopus 로고    scopus 로고
    • Use of spatially distributed water table observations to constrain uncertainty in a rainfall-runoff model
    • Lamb, R., K. Beven, and S. Myrab. 1998. Use of spatially distributed water table observations to constrain uncertainty in a rainfall-runoff model. Adv. Water Resour. 22:305-317.
    • (1998) Adv. Water Resour. , vol.22 , pp. 305-317
    • Lamb, R.1    Beven, K.2    Myrab, S.3
  • 36
    • 0042001787 scopus 로고    scopus 로고
    • Automated vs. hand calibration of system dynamics models: An experiment with a simple project model
    • G.P. Richardson and J.D. Sterman (ed.) System Dynamics Society, Cambridge, MA.
    • Lyneis, J.M., and A.L. Pugh. 1996. Automated vs. hand calibration of system dynamics models: An experiment with a simple project model. p. 317-320. In G.P. Richardson and J.D. Sterman (ed.) Proceedings of the 1996 International System Dynamics Conference. System Dynamics Society, Cambridge, MA.
    • (1996) Proceedings of the 1996 International System Dynamics Conference. , pp. 317-320
    • Lyneis, J.M.1    Pugh, A.L.2
  • 37
    • 0037090213 scopus 로고    scopus 로고
    • Comparison of different automated strategies for calibration of rainfall-runoff models
    • Madsen, H., G. Wilson, and H.C. Ammentorp. 2002. Comparison of different automated strategies for calibration of rainfall-runoff models. J. Hydrol. 261:48-99.
    • (2002) J. Hydrol. , vol.261 , pp. 48-99
    • Madsen, H.1    Wilson, G.2    Ammentorp, H.C.3
  • 39
    • 0036256969 scopus 로고    scopus 로고
    • Using a Bayesian approach to parameter estimation: Comparison of the GLUE and MCMC methods
    • Makowski, D., D. Wallach, and M. Tremblay. 2002. Using a Bayesian approach to parameter estimation: Comparison of the GLUE and MCMC methods. Agronomie 22:191-203.
    • (2002) Agronomie , vol.22 , pp. 191-203
    • Makowski, D.1    Wallach, D.2    Tremblay, M.3
  • 40
    • 0033585038 scopus 로고    scopus 로고
    • Bayes offers a 'New' way to make sense of numbers
    • Malakoff, D. 1999. Bayes offers a 'New' way to make sense of numbers. Science 286:1460-1464.
    • (1999) Science , vol.286 , pp. 1460-1464
    • Malakoff, D.1
  • 41
    • 0035128477 scopus 로고    scopus 로고
    • Developing genetic coefficients for crop simulation models with data from crop performance trials
    • Mavromatis, T., K.J. Boote, J.W. Jones, A. Irmak, D. Shinde, and G. Hoogenboom. 2001. Developing genetic coefficients for crop simulation models with data from crop performance trials. Crop Sci. 41:40-51.
    • (2001) Crop Sci. , vol.41 , pp. 40-51
    • Mavromatis, T.1    Boote, K.J.2    Jones, J.W.3    Irmak, A.4    Shinde, D.5    Hoogenboom, G.6
  • 42
    • 0036156464 scopus 로고    scopus 로고
    • Repeatability of model genetic coefficients derived from soybean performance trials across different states
    • Mavromatis, T., K.J. Boote, J.W. Jones, G.G. Wilkerson, and G. Hoogenboom. 2002. Repeatability of model genetic coefficients derived from soybean performance trials across different states. Crop Sci. 42:76-89.
    • (2002) Crop Sci. , vol.42 , pp. 76-89
    • Mavromatis, T.1    Boote, K.J.2    Jones, J.W.3    Wilkerson, G.G.4    Hoogenboom, G.5
  • 43
    • 28844498074 scopus 로고    scopus 로고
    • Distributed hydrological modeling in California semiarid shrublands: MIKE SHE model calibration and uncertainty estimation
    • McMichael, C.E., A.S. Hope, and H.A. Loaiciga. 2006. Distributed hydrological modeling in California semiarid shrublands: MIKE SHE model calibration and uncertainty estimation. J. Hydrol. 317:307-324.
    • (2006) J. Hydrol. , vol.317 , pp. 307-324
    • McMichael, C.E.1    Hope, A.S.2    Loaiciga, H.A.3
  • 44
    • 2942704248 scopus 로고    scopus 로고
    • Including prior information in the estimation of effective soil parameters in unsaturated zone modeling
    • Mertens, J., H. Madsen, L. Feyen, D. Jacques, and J. Feyen. 2004. Including prior information in the estimation of effective soil parameters in unsaturated zone modeling. J. Hydrol. 294:251-269.
    • (2004) J. Hydrol. , vol.294 , pp. 251-269
    • Mertens, J.1    Madsen, H.2    Feyen, L.3    Jacques, D.4    Feyen, J.5
  • 45
    • 36248975844 scopus 로고    scopus 로고
    • Uncertainty and sensitivity analysis for crop models
    • D. Wallach et al. (ed.) Elsevier, Amsterdam.
    • Monod, H., C. Naud, and D. Makowski. 2006. Uncertainty and sensitivity analysis for crop models. p. 55-99. In D. Wallach et al. (ed.) Working with dynamic crop models. Elsevier, Amsterdam.
    • (2006) Working with dynamic crop models , pp. 55-99
    • Monod, H.1    Naud, C.2    Makowski, D.3
  • 46
    • 18844381609 scopus 로고    scopus 로고
    • Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model
    • Muleta, M.K., and J. Nicklow. 2005. Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model. J. Hydrol. 306:127-145.
    • (2005) J. Hydrol. , vol.306 , pp. 127-145
    • Muleta, M.K.1    Nicklow, J.2
  • 47
    • 0347447326 scopus 로고    scopus 로고
    • Decomposition of plant residues of different quality in soil-DAISY model calibration and simulation based on experimental data
    • Müller, T., J. Magid, L.S. Jensen, and N.E. Nielsen. 2003. Decomposition of plant residues of different quality in soil-DAISY model calibration and simulation based on experimental data. Ecol. Model. 166:3-18.
    • (2003) Ecol. Model. , vol.166 , pp. 3-18
    • Müller, T.1    Magid, J.2    Jensen, L.S.3    Nielsen, N.E.4
  • 48
    • 77649207024 scopus 로고    scopus 로고
    • Parameter importance and uncertainty in predicting runoff pesticide reduction with filter strips
    • Munoz-Carpena, R., G.A. Fox, and G.J. Sabbagh. 2010. Parameter importance and uncertainty in predicting runoff pesticide reduction with filter strips. J. Environ. Qual. 39:1-12, doi:10.1016/10.2134/jeq2009.0300.
    • (2010) J. Environ. Qual. , vol.39 , pp. 1-12
    • Munoz-Carpena, R.1    Fox, G.A.2    Sabbagh, G.J.3
  • 49
    • 36248962259 scopus 로고    scopus 로고
    • Evaluati on of water quality models through global sensiti vity and uncertainty analyses techniques: Application to the vegetative filter strip model VFSMOD-W
    • Munoz-Carpena, R., Z. Zajac, and Y.-M. Kuo. 2007. Evaluati on of water quality models through global sensiti vity and uncertainty analyses techniques: Application to the vegetative filter strip model VFSMOD-W. Trans. ASABE 50:1719-1732.
    • (2007) Trans. ASABE , vol.50 , pp. 1719-1732
    • Munoz-Carpena, R.1    Zajac, Z.2    Kuo, Y.-M.3
  • 50
    • 0012317604 scopus 로고    scopus 로고
    • Model calibration as a testing strategy for system dynamics models
    • Oliva, R. 2003. Model calibration as a testing strategy for system dynamics models. Eur. J. Oper. Res. 151:552-568.
    • (2003) Eur. J. Oper. Res. , vol.151 , pp. 552-568
    • Oliva, R.1
  • 51
    • 0012527635 scopus 로고    scopus 로고
    • An approach for modular crop model development.
    • International Consortium for Agricultural Systems Applications, Honolulu, HI.
    • Porter, C., J.W. Jones, and R. Braga. 2000. An approach for modular crop model development. International Consortium for Agricultural Systems Applications, Honolulu, HI.
    • (2000)
    • Porter, C.1    Jones, J.W.2    Braga, R.3
  • 54
    • 33745713617 scopus 로고    scopus 로고
    • Comments on generalized likelihood uncertainty estimation
    • Romanowicz, R., and K.J. Beven. 2006. Comments on generalized likelihood uncertainty estimation. Reliab. Eng. Syst. Saf. 91:1315-1321.
    • (2006) Reliab. Eng. Syst. Saf. , vol.91 , pp. 1315-1321
    • Romanowicz, R.1    Beven, K.J.2
  • 55
    • 0002304708 scopus 로고
    • Evaluation of predictive uncertainty in nonlinear hydrological models using a Bayesian approach
    • V. Barnett and K.F. Turkman (ed.) John Wiley and Sons, New York.
    • Romanowicz, R., K.J. Beven, and J. Tawn. 1994. Evaluation of predictive uncertainty in nonlinear hydrological models using a Bayesian approach. p. 297-317. In V. Barnett and K.F. Turkman (ed.) Statistics for the environment II. Water related issues. John Wiley and Sons, New York.
    • (1994) Statistics for the environment II. Water related issues , pp. 297-317
    • Romanowicz, R.1    Beven, K.J.2    Tawn, J.3
  • 56
    • 0001942155 scopus 로고    scopus 로고
    • Bayesian calibration of flood inundation models
    • M.G. Anderson et al. (ed.) John Wiley and Sons, New York.
    • Romanowicz, R.J., K.J. Beven, and J. Tawn. 1996. Bayesian calibration of flood inundation models. p. 333-360. In M.G. Anderson et al. (ed.) Floodplain processes. John Wiley and Sons, New York.
    • (1996) Floodplain processes. , pp. 333-360
    • Romanowicz, R.J.1    Beven, K.J.2    Tawn, J.3
  • 57
    • 5444223864 scopus 로고    scopus 로고
    • Sensiti vity analysis in practice: A guilde to assessing scientific models.
    • John Wiley and Sons, Chichester, UK.
    • Saltelli, A., S. Tarantola, F. Campolongo, and M. Ratto. 2004. Sensiti vity analysis in practice: A guilde to assessing scientific models. John Wiley and Sons, Chichester, UK.
    • (2004)
    • Saltelli, A.1    Tarantola, S.2    Campolongo, F.3    Ratto, M.4
  • 58
    • 0033494215 scopus 로고    scopus 로고
    • Equifinality and the problem of robust calibration in nitrogen budget simulations
    • Shulz, K., K. Beven, and B. Huwe. 1999. Equifinality and the problem of robust calibration in nitrogen budget simulations. Soil Sci. Soc. Am. J. 63:1934-1941.
    • (1999) Soil Sci. Soc. Am. J. , vol.63 , pp. 1934-1941
    • Shulz, K.1    Beven, K.2    Huwe, B.3
  • 59
    • 30344439802 scopus 로고    scopus 로고
    • A statistical approach to ground radar-rainfall estimation
    • Tadesse, A., and E.N. Anagnostou. 2005. A statistical approach to ground radar-rainfall estimation. J. Atm. Ocean Technol. 22:1055-1071.
    • (2005) J. Atm. Ocean Technol. , vol.22 , pp. 1055-1071
    • Tadesse, A.1    Anagnostou, E.N.2
  • 60
    • 33745470821 scopus 로고    scopus 로고
    • Performance of CERES-Rice and CERES-Wheat models in rice- wheat system: A review
    • Timsina, J., and E. Humphreys. 2006. Performance of CERES-Rice and CERES-Wheat models in rice- wheat system: A review. Agric. Syst. 90:5-31.
    • (2006) Agric. Syst. , vol.90 , pp. 5-31
    • Timsina, J.1    Humphreys, E.2
  • 61
    • 0003993857 scopus 로고
    • DSSAT V.3.
    • University of Hawaii, Honolulu.
    • Tsuji, G.Y., G. Uehara, and S. Balas. 1994. DSSAT V.3. University of Hawaii, Honolulu.
    • (1994)
    • Tsuji, G.Y.1    Uehara, G.2    Balas, S.3
  • 62
    • 0001425318 scopus 로고    scopus 로고
    • Synthesis
    • G.Y. Tsuji et al. (ed.) Kluwer Academic Publ., Dordrecht, The Netherlands.
    • Uehara, G. 1998. Synthesis. p. 389-392. In G.Y. Tsuji et al. (ed.) Understanding options for agricultural production. Kluwer Academic Publ., Dordrecht, The Netherlands.
    • (1998) Understanding options for agricultural production , pp. 389-392
    • Uehara, G.1
  • 63
    • 0344212410 scopus 로고    scopus 로고
    • A comparison of automated parametersearching methods for neural models.
    • In J.M. Bower (ed.) Monterey (CA). Academic Press, New York.
    • Vanier, M., and J. Bower. 1996. A comparison of automated parametersearching methods for neural models. In J.M. Bower (ed.) Proceedings of the 1995 Computational Neuroscience Conference (CNS*95), Monterey (CA). Academic Press, New York.
    • (1996) Proceedings of the 1995 Computational Neuroscience Conference (CNS*95)
    • Vanier, M.1    Bower, J.2
  • 64
    • 0034914504 scopus 로고    scopus 로고
    • Parameter estimation for crop models: A new approach and application to a corn model
    • Wallach, D., B. Goffinet, J.E. Bergez, P. Debaeke, D. Leenhardt, and J.N. Aubertot. 2001. Parameter estimation for crop models: A new approach and application to a corn model. Agron. J. 93:757-766.
    • (2001) Agron. J. , vol.93 , pp. 757-766
    • Wallach, D.1    Goffinet, B.2    Bergez, J.E.3    Debaeke, P.4    Leenhardt, D.5    Aubertot, J.N.6
  • 65
    • 23744478777 scopus 로고    scopus 로고
    • Sensitivity and uncertainty analyses of crop yields and soil organic carbon simulated with EPIC
    • Wang, X., X. He, J.R. Williams, R.C. Izaurralde, and J.D. Atwood. 2005. Sensitivity and uncertainty analyses of crop yields and soil organic carbon simulated with EPIC. Trans. ASAE 48:1041-1054.
    • (2005) Trans. ASAE , vol.48 , pp. 1041-1054
    • Wang, X.1    He, X.2    Williams, J.R.3    Izaurralde, R.C.4    Atwood, J.D.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.