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

E

• Eckard, R.J.
  • Using milk tanker pickup and weather data to quantify the impacts of heat stress on milk production in Australia
    

    Meyer, R.S., Graham, A-M., Hepworth, G. and Eckard, R.J.
    https://doi.org/10.36334/modsim.2021.B5.meyer

• Elsawah, S.
  • Operational effectiveness of future land combat teams: model conceptualisation
    

    Richmond, M.K., Gary, M.S., Cao, T., Blumson, D., Kosowski, L., Hock, K., Elsawah, S. and Kempt, N.
    https://doi.org/10.36334/modsim.2021.M4.richmond

  • 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

  • The closed loop military maintenance workforce: A simulation-based optimisation approach
    

    Withers, K.R., Turan, H.H., Kahagalage, S. and Elsawah, S.
    https://doi.org/10.36334/modsim.2021.M2.withers

• Enting, I.G.
  • The Pade-Laplace formalism for carbon and climate responses
    

    Enting, I.G.
    https://doi.org/10.36334/modsim.2021.A3.enting

• Erechtchoukova, M.G.
  • Data-driven approaches to rainfall nowcasting for application in hydrological modelling
    

    Mhedhbi, R. and Erechtchoukova, M.G.
    https://doi.org/10.36334/modsim.2021.F5.mhedhbi

  • Application of topic modelling to Integrated Water Resource Assessment domain
    

    Erechtchoukova, M.G. and Kohli, A.K.
    https://doi.org/10.36334/modsim.2021.F5.erechtchoukova

• Esmaeilbeigi, R.
  • Hydrogen bus route planning in regional Victoria
    

    Esmaeilbeigi, R., Mak-Hau, V., Pineda-Villavicencio, G. and Ugon, J.
    https://doi.org/10.36334/modsim.2021.M1.esmaeilbeigi

• Evans, J.P.
  • Extreme bushfire projections using a standardised method
    

    Dowdy, A.J., Thatcher, M., Rafter, T., Evans, J.P., Ye, H., Su, C.-H., Stassen, C., Pepler, A., Bell, S.S. and Steinle, P.
    https://doi.org/10.36334/modsim.2021.G3.dowdy

• Everingham, Y.
  • Geostatistical merging of weather radar data with a sparse rain gauge network in Queensland
    

    Sharp, C., Schepen, A., Das, S. and Everingham, Y.
    https://doi.org/10.36334/modsim.2021.K6.sharp

F

• Farquharson, R.J.
  • Economically optimum N fertiliser decisions for rice cultivation in Sri Lanka: Does soil type matter?
    

    Kanthilanka, H., Farquharson, R.J., Ramilan, T. and Weerahewa, J.
    https://doi.org/10.36334/modsim.2021.B5.kanthilanka

• Farr, M.
  • Modelling to determine key drivers of water quality off sugarcane paddocks in the Great Barrier Reef catchment
    

    Power, B., Shaw, M., Vilas, M.P., Farr, M. and Thompson, M.
    https://doi.org/10.36334/modsim.2021.L1.power

• Fentie, B.
  • Use of high-resolution DEM for improving stream slope estimates and its effect on modelled fine sediment loads
    

    Pollett, A. and Fentie, B.
    https://doi.org/10.36334/modsim.2021.L4.pollett

• Ferrer-Mestres, J.
  • Solving constrained K-Markov decision processes
    

    Ferrer-Mestres, J. and Chades, I.
    https://doi.org/10.36334/modsim.2021.I2.ferrermestres

• Filippi, P.
  • 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

• Foley, M.
  • How thunderstorms appear in weather forecasts
    

    Price, B. and Foley, M.
    https://doi.org/10.36334/modsim.2021.I2.price

• Fowler, K.J.A.
  • Observation based gridded annual runoff estimates over Victoria, Australia
    

    Weligamage, H.A.C.G., Fowler, K.J.A., Peterson, T.J., Saft, M. and Peel, M.C.
    https://doi.org/10.36334/modsim.2021.K11.weligamage

  • “Naïve” inclusion of diverse climates in calibration is not sufficient to improve model reliability under future climate uncertainty
    

    Trotter, L., Saft, M., Peel, M.C. and Fowler, K.J.A.
    https://doi.org/10.36334/modsim.2021.J8.trotter

• Fransoo, J.C.
  • Assessing last mile delivery strategies – A hybrid solution approach
    

    Muriel, J.E., Zhang, L., Fransoo, J.C. and Perez-Franco, R.
    https://doi.org/10.36334/modsim.2021.M1.muriel

• Fraser, G.
  • 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

• Freebairn, A.
  • Lessons learned using dSedNet plug-in within a water supply catchment for Greater Sydney
    

    Amini, S., Pont, J., van der Sterren, M. and Freebairn, A.
    https://doi.org/10.36334/modsim.2021.F7.amini

• Freebairn, G.
  • A strategy for using cooperating missiles for missile defence
    

    Kapsis, M., Pudney, P., Aarao, J., Miller, W. and Freebairn, G.
    https://doi.org/10.36334/modsim.2021.M7.kapsis

• Freebairn, L.
  • Prototyping, developing, and iterating a gamified survey to evaluate participatory systems modelling for youth mental health: Quality assurance pilot
    

    Lee, G.Y., Hickie, I.B., Occhipinti, J., Song, Y.J.C., Huntley, S., Skinner, A., Lawson, K., Hockey, S.J. and Freebairn, L.
    https://doi.org/10.36334/modsim.2021.H2.lee

• Fu, J.
  • A large-scale multi-rider matching problem with reneging passengers: single source case
    

    Fu, J., Zhang, L., Huang, K. and Liu, Z.
    https://doi.org/10.36334/modsim.2021.M3.fu

G

• Galister, M.
  • An evaluation model and tool for Defence capability options
    

    Nguyen, M.-T., Coutts, A., Knoll, J., Zuparic, M., Peacock, J., Bilusich, D., Galister, M. and Johns, K.
    https://doi.org/10.36334/modsim.2021.M8.nguyen

• Gao, Z.
  • An automatic system to estimate crop phenological dates with remote sensing: A case study in the southeast Australia
    

    Gao, Z., Guo, D., Ryu, D. and Western, A.W.
    https://doi.org/10.36334/modsim.2021.K6.gao

• Gapeev, P.V.
  • On optimal stopping problems with positive discounting rates and related Laplace transforms of first hitting times in models with geometric Brownian motions
    

    Gapeev, P.V.
    https://doi.org/10.36334/modsim.2021.A1.gapeev

• Garces, L.P.D.M.
  • Regression-based approaches for simulation meta-modelling in the presence of heterogeneity and correlation
    

    Garces, L.P.D.M., Bogomolov, T. and Chiera, B.A.
    https://doi.org/10.36334/modsim.2021.M5.garces

• Garg, N.
  • A comparative study on 10 and 30-year simulation of CMIP5 decadal hindcast precipitation at catchment level
    

    Hossain, M.M., Garg, N., Anwar, A.H.M.F., Prakash, M. and Bari, M.
    https://doi.org/10.36334/modsim.2021.K5.hossain

  • INDRA – Climate Resilience Platform for the City of Makassar
    

    Weeraratne, V.C.N., Prakash, M., Cohen, R.C.Z. and Garg, N.
    https://doi.org/10.36334/modsim.2021.G1.weeraratne

• Gary, M.S.
  • Operational effectiveness of future land combat teams: model conceptualisation
    

    Richmond, M.K., Gary, M.S., Cao, T., Blumson, D., Kosowski, L., Hock, K., Elsawah, S. and Kempt, N.
    https://doi.org/10.36334/modsim.2021.M4.richmond

  • 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

• Gathala, M.K.
  • Changing crop management improves farm level productivity and profitability for smallholder farmers in northern India
    

    Beletse, Y.G., Laing, A.M., Prestwidge, D.B., Gathala, M.K., Subash, N. and Liedloff, A.C.
    https://doi.org/10.36334/modsim.2021.B8.beletse

• Gearing, P.
  • The use of modelling in design of wastewater subsurface drip irrigation
    

    Cook, F.J., Gearing, P., Bennett, S. and Oakley, R.
    https://doi.org/10.36334/modsim.2021.L2.cook

• Georgiou, S.
  • Factor screening for binary responses from combat simulations
    

    Demirhan, H., Georgiou, S., Gill, A. and Stylianou, S.
    https://doi.org/10.36334/modsim.2021.M5.demirhan

• Gericke, L.A.
  • 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

• Gill, A.
  • Heteroscedasticity and correlation in linear regression
    

    Gill, A.
    https://doi.org/10.36334/modsim.2021.M5.gill

  • Reconstructing Lanchester Warfare Models through a Lagrangian Mechanics Lens
    

    Gill, J., Gill, A. and Penfold, J.
    https://doi.org/10.36334/modsim.2021.M7.gill

  • Factor screening for binary responses from combat simulations
    

    Demirhan, H., Georgiou, S., Gill, A. and Stylianou, S.
    https://doi.org/10.36334/modsim.2021.M5.demirhan

• Gill, J.
  • Reconstructing Lanchester Warfare Models through a Lagrangian Mechanics Lens
    

    Gill, J., Gill, A. and Penfold, J.
    https://doi.org/10.36334/modsim.2021.M7.gill

• Glassborow, D.
  • The Open Maritime Traffic Analysis Dataset
    

    Masek, M., Lam, C.P., Rybicki, T., Snell, J., Wheat, D., Kelly, L., Glassborow, D. and Smith-Gander, C.
    https://doi.org/10.36334/modsim.2021.M9.masek

• Glenny, L.
  • The role of embodied cognition in linguistic mental health analysis
    

    Kernot, D., Van Hooff, M., Lawrence-Wood, E., Glenny, L., Snowden, C., Green, K. and Son, C.
    https://doi.org/10.36334/modsim.2021.H2.kernot

• Glukhov, G.
  • Data preprocessing for non-image data: using convolution neural networks for network intrusion detection systems
    

    Glukhov, G. and Lynar, T.
    https://doi.org/10.36334/modsim.2021.M3.glukhov

• Golding, P.
  • Trade strategies to mitigate the global impact of regional wheat production shocks
    

    Golding, P., Kapadia, S., Naylor, S., Schulz, J., Maier, H.R., Lall, U. and van der Velde, M.
    https://doi.org/10.36334/modsim.2021.B5.golding

• Gow, D.
  • Enhancement of lightning strike forecasts using a machine learning approach
    

    Gow, D., Lerat, J., Warren, R. and Blockley, I.
    https://doi.org/10.36334/modsim.2021.K7.gow

• Graham, A-M.
  • Using milk tanker pickup and weather data to quantify the impacts of heat stress on milk production in Australia
    

    Meyer, R.S., Graham, A-M., Hepworth, G. and Eckard, R.J.
    https://doi.org/10.36334/modsim.2021.B5.meyer

• Graham, P.
  • 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

• Green, K.
  • The role of embodied cognition in linguistic mental health analysis
    

    Kernot, D., Van Hooff, M., Lawrence-Wood, E., Glenny, L., Snowden, C., Green, K. and Son, C.
    https://doi.org/10.36334/modsim.2021.H2.kernot

• Gregory, L.
  • Towards a provenance-enabled, reproducible, and extensible machine learning platform by integrating databases, web services, containers, and code repositories in a loosely coupled manner
    

    Singh, R.M., Wilson, P., Gregory, L., Seaton, S. and Malone, B.
    https://doi.org/10.36334/modsim.2021.C4.singh

• Guillaume, J.H.A.
  • 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

• Guo, D.
  • An automatic system to estimate crop phenological dates with remote sensing: A case study in the southeast Australia
    

    Gao, Z., Guo, D., Ryu, D. and Western, A.W.
    https://doi.org/10.36334/modsim.2021.K6.gao

• Gupta, H.V.
  • 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

• Guru, S.M.
  • Enabling integrated modelling systems for environmental prediction at national scale
    

    Specht, A., Guru, S.M. and Morris, B.
    https://doi.org/10.36334/modsim.2021.F3.specht