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Author Index

* Please note this includes full papers only

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z

C

  • Carlier, R.
    • Assessing waterbird breeding conditions using an emulator of wetland inundation regime
      Quijano, J., Rodriguez, J., Kuczera, G., Saco, P.M., Sandi, S.G., Carlier, R., Wen, L. and McDonough, K.
      https://doi.org/10.36334/modsim.2021.J1.quijano
  • Carter, J.
    • Disentangling the effects of management and climate on perennial grass pastures and the degradation that follows multi-year droughts
      Owens, J., McKeon, G., O’Reagain, P., Carter, J., Fraser, G., Nelson, B. and Scanlan, J.
      https://doi.org/10.36334/modsim.2021.B1.owens
  • Cashen, M.
    • Building responsive bio-economic models to replicate complex farm management decisions for mixed irrigation farming systems in southern NSW
      Broadfoot, K., Cashen, M., Behrendt, K., Clark, A.J. and Graham, P.
      https://doi.org/10.36334/modsim.2021.B8.broadfoot
  • Castelletti, A.
    • An assessment framework for classifying determinants of household water consumption and their priorities for research and practice
      Cominola, A., Preiss, L., Thyer, M., Maier, H.R., Stewart, R. and Castelletti, A.
      https://doi.org/10.36334/modsim.2021.J3.cominola
  • Cattle, S.
    • A nationally scalable approach to simulating soil organic carbon in agricultural landscapes
      Coelli, K.M., Karunaratne, S.B., Baldock, J.A., Ugbaje, S., Buzacott, A.J.V., Filippi, P., Cattle, S. and Bishop, T.F.A.
      https://doi.org/10.36334/modsim.2021.B6.coelli
  • Chand, S.S.
  • Cheema, S.A.
    • Model-based machine learning to explore the nexus between COVID-19 and environmental factors in the United States
      Munir, T., Hudson, I.L., Cheema, S.A., Muhammad, R., Shafqat, M. and Kifayat, T.
      https://doi.org/10.36334/modsim.2021.H1.munir
    • Use of auxiliary information in estimation of the finite population mean: An exponential type of estimator
      Ullah, K., Hudson, I.L., Cheema, S.A., Khan, A., Rahman, A.R. and Hussian, Z.
      https://doi.org/10.36334/modsim.2021.A1.ullah
  • Chow, C.W.K.
  • Clark, A.J.
    • Building responsive bio-economic models to replicate complex farm management decisions for mixed irrigation farming systems in southern NSW
      Broadfoot, K., Cashen, M., Behrendt, K., Clark, A.J. and Graham, P.
      https://doi.org/10.36334/modsim.2021.B8.broadfoot
  • Coelli, K.M.
    • A nationally scalable approach to simulating soil organic carbon in agricultural landscapes
      Coelli, K.M., Karunaratne, S.B., Baldock, J.A., Ugbaje, S., Buzacott, A.J.V., Filippi, P., Cattle, S. and Bishop, T.F.A.
      https://doi.org/10.36334/modsim.2021.B6.coelli
  • Cominola, A.
    • An assessment framework for classifying determinants of household water consumption and their priorities for research and practice
      Cominola, A., Preiss, L., Thyer, M., Maier, H.R., Stewart, R. and Castelletti, A.
      https://doi.org/10.36334/modsim.2021.J3.cominola
  • Coutts, A.
  • Crockett, A.
    • Analytic approaches to understanding future Defence workforce needs
      Rowe, C., Crockett, A., Rohan-Jones, S., Aljoorfri, S., Tay, N., Coutts, A., Bishop, C., Pay, A., Sim, W., Date, V. and Boyce, J.
      https://doi.org/10.36334/modsim.2021.M8.rowe
  • Croke, B.F.W.
    • Modelling hydrological change due to wildfires
      Partington, D., Thyer, M., Shanafield, M., McInerney, D., Westra, S., Maier, H.R., Simmons, C.T., Croke, B.F.W., Jakeman, A.J., Gupta, H.V. and Kavetski, D.
      https://doi.org/10.36334/modsim.2021.J8.partington
  • Cuddy, S.M.
    • A framework for engaging stakeholders in solving real-world water resources management problems
      Wu, W., Maier, H.R., Dandy, G.C., Leonard, R., Bellette, K., Cuddy, S.M. and Maheepala, S.
      https://doi.org/10.36334/modsim.2021.F3.wu
  • Culley, S.A.
    • Water security analysis of the Middle River supply system: a foreSIGHT application
      Culley, S., Westra, S., Bennett, B., Maier, H.R., Newman, J., Van Der Linden, L. and Irvine, M.
      https://doi.org/10.36334/modsim.2021.J5.culley
    • Uncertainty, sensitivity and scenario analysis: how do they fit together?
      Maier, H.R., Guillaume, J.H.A., McPhail, C., Westra, S., Kwakkel, J.H., Razavi, S., van Delden, H., Thyer, M.A., Culley, S.A. and Jakeman, A.J.
      https://doi.org/10.36334/modsim.2021.J5.maier
  • Cunico, G.
    • System dynamics applications for defence combat modelling: preliminary insights from a literature exploration
      Cunico, G., Elsawah, S., Gary, M.S., Cao, T., Kosowski, L. and Richmond, M.K.
      https://doi.org/10.36334/modsim.2021.M4.cunico

D

  • Daraei, H.
  • Date, V.
    • Analytic approaches to understanding future Defence workforce needs
      Rowe, C., Crockett, A., Rohan-Jones, S., Aljoorfri, S., Tay, N., Coutts, A., Bishop, C., Pay, A., Sim, W., Date, V. and Boyce, J.
      https://doi.org/10.36334/modsim.2021.M8.rowe
  • Dayananda, M.D.T.
  • Deo, A.
  • Dilhari, W.A.D.S.
  • Donnelly, C.
    • Estimation of road closure risks along the Bruce highway using the AWRA-L water balance model
      Vogel, E., Lerat, J., Gericke, L.A., Russell, C.A., Preece, A., Stuart, G., Pipunic, R., Khan, Z. and Donnelly, C.
      https://doi.org/10.36334/modsim.2021.K5.vogel
  • Donohoo, A.
  • Dowdy, A.J.
  • Duan, J.