Author Index

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

Abbasi, B.
- Optimal ordering decisions for red blood cells at hospitals under blood-type substitutions
  HosseiniFard, Z., Khatami, M., Abbasi, B. and Houtum, G.
  https://doi.org/10.36334/modsim.2023.hosseinifard

Abdollahi, A.
- Remote sensing and machine learning techniques for above-ground biomass estimation on a regional scale
  Abdollahi, A. and Yebra, M.
  https://doi.org/10.36334/modsim.2023.abdollahi

Abdollahian, M.A.
- Data-driven risk mitigation: Water quality forecasting during extreme events
  Rumman, R., Martin, J., van der Sterren, M., Chen, C., Abdollahian, M.A. and Hughes, D.
  https://doi.org/10.36334/modsim.2023.rumman

Accary, G.
- Physics-based modelling of junction fires: Effects of some topographical parameters in intersecting fires
  Hassan, A., Accary, G., Sutherland, D. and Moinuddin, K.
  https://doi.org/10.36334/modsim.2023.hassan

Adams, M.P.
- Unlocking ensemble ecosystem modelling for simulation of high-dimensional networks: From days to minutes
  Vollert, S.A., Drovandi, C. and Adams, M.P.
  https://doi.org/10.36334/modsim.2023.vollert
- Mathematical modelling demonstrates how students can get stuck in unproductive learning regimes
  Egger, F., Lodge, J.M., Adams, M.P., Birkett, G.R., Monsalve-Bravo, G.M., Howes, T. and O'Brien, K.R.
  https://doi.org/10.36334/modsim.2023.egger512
- A light-hearted approach to a serious problem: Building “educated trust” in models
  O'Brien, K.R., Adams, M.P., Egger, F., Maxwell, P., Weber, T., Maier, H.R., Vilas, M.P., Shaw, M., Turner, R., Birkett, G.R., Hamilton, D.P., Langsdorf, H. and Baird, M.E.
  https://doi.org/10.36334/modsim.2023.obrien
- Assimilating modelled dissolved inorganic nitrogen loads to monitored data using component-wise iterative ensemble Kalman inversion
  Bennett, F.R., Botha, I., Adams, M.P. and Drovandi, C.
  https://doi.org/10.36334/modsim.2023.bennett42
- Planning research and development in poor data and urgent decision-making contexts as an adaptive management problem
  Pascal, L.V., Adams, M.P., Chadès, I. and Helmstedt, K.J.
  https://doi.org/10.36334/modsim.2023.pascal

Adarkar, K.
- Improving access and efficiency in care delivery for patients with spinal cord injury in NSW Australia: A discrete-event dynamic simulation modelling approach
  Assareh, H., Pavlov, V., Adarkar, K., Johnson, J., Fortunato, R., Marial, O. and Middleton, J.
  https://doi.org/10.36334/modsim.2023.assareh

Addy, S.
- Cross-scale analysis of social-ecological systems: Policy options appraisal for delivering NetZero and other environmental objectives in Scotland
  Matthews, K.B., Blackstock, K.L., Wardell-Johnson, D.H., Miller, D.G., Tavana, M., Thomson, S., Moxey, A., Nielsen, R., Baggaley, N., Loades, K., Paterson, E., Pakeman, R., Hawes, C., Stockan, J., Stutter, M., Addy, S. and Wilkinson, M.
  https://doi.org/10.36334/modsim.2023.matthews

Ahammed, F.
- Stormwater drainage systems design under variable climatic conditions
  Ahammed, F.
  https://doi.org/10.36334/modsim.2023.ahammed

Ahmad, I.
- Spatiotemporal variation of water resources system vulnerability in the Upper Yangtze River, China
  Zhang, F., Wang, L., Shi, X., Zeng, C., Ahmad, I., Wang, G., Thapa, S. and Xu, X.
  https://doi.org/10.36334/modsim.2023.zhang394

Ahmad, M.D.
- Pathway to impact: Sustainable Development Investment Portfolio
  Wahid, S., Cuddy, S.M., Ahmad, M.D., Mainuddin, M. and Almeida, A.C.
  https://doi.org/10.36334/modsim.2023.wahid
- Water allocation planning in the Indus Basin Irrigation System in Pakistan: Using scientific tools to build trust between stakeholders
  Ahmad, M.D., Cuddy, S.M., Podger, G.M., Yu, Y. and Perraud, J.-M.
  https://doi.org/10.36334/modsim.2023.ahmad252
- High spatiotemporal resolution remotely sensed timeseries actual evapotranspiration estimates for irrigation management in salinity-affected areas of the southern Indus basin
  Ahmad, M.D., Peña-Arancibia, J.L. and Yu, Y.
  https://doi.org/10.36334/modsim.2023.ahmad184
- Design and implementation of a software tool supporting the Inter-Provincial Water Apportionment Accord in Pakistan
  Perraud, J.-M., Freebairn, A.C., Seaton, S.P., Yu, Y., Podger, G.M., Ahmad, M.D. and Cuddy, S.M.
  https://doi.org/10.36334/modsim.2023.perraud130

Ahmed, A.A.M.
- Disaggregation of annual water demand in the southern Murray–Darling Basin
  Ahmed, A.A.M., Wang, Q.J., Western, A.W., Graham, T.D.J. and Wu, W.
  https://doi.org/10.36334/modsim.2023.ahmed574

Ahmed, K.
- Data-driven artificial intelligence–based streamflow projections under climate change: Review of methods and application for Melbourne's supply system
  Jahanbani, H. and Ahmed, K.
  https://doi.org/10.36334/modsim.2023.jahanbani

Aili, A.
- Modeling of radiative free cooling for data centers
  Long, W. and Aili, A.
  https://doi.org/10.36334/modsim.2023.long52

Akman, D.
- Visualising instance selection for improved explainability using feature extraction
  Yeo, G.F.A., Hudson, I., Akman, D. and Chan, J.
  https://doi.org/10.36334/modsim.2023.yeo34

Akoluk, D.
- Exploring the impact of modelling assumptions on distributive justice using JUSTICE
  Biswas, P., Akoluk, D., Zatarain Salazar, J., Kwakkel, J.H. and Verbraeck, A.
  https://doi.org/10.36334/modsim.2023.biswas

Alam, J.
- The Source Murray Model for NSW regional water strategies
  Alam, J., Hardy, M., Korn, A., Podger, G.M. and Dutta, D.
  https://doi.org/10.36334/modsim.2023.alam

Albornoz, F.
- A growth feedback model with limiting resources gives rise to behaviours of mutualism, parasitism, and competition between a plant and a mycorrhizal fungus
  Grasso, S.V., Ryan, M.H., Albornoz, F. and Renton, M.
  https://doi.org/10.36334/modsim.2023.grasso

Aldrich, C.
- Change detection in drill core images based on local binary pattern
  Gu, X., Cook, N.J., Metcalfe, A.V. and Aldrich, C.
  https://doi.org/10.36334/modsim.2023.gu67
- Texture feature extraction for change detection in drill core images: A comparative study
  Gu, X., Cook, N.J., Metcalfe, A.V. and Aldrich, C.
  https://doi.org/10.36334/modsim.2023.gu69

Alempijevic, A.
- CattleAssess3D: 3D camera technology integrated with BeefSpecs drafting tool to assist ‘meeting market specifications’
  McPhee, M.J., Walmsley, B.J., Littler, B., Siddell, J.P., Toohey, E., Oddy, V.H., Falque, R., Virgona, A., Vidal-Calleja, T. and Alempijevic, A.
  https://doi.org/10.36334/modsim.2023.mcphee

Alkhairy, I.
- Multiverse experiments for enhancing reproducibility and resilience of statistical modelling via case studies in family wellbeing and biodiversity conservation
  Low-Choy, S., Modecki, K., Vasco, D., Alkhairy, I. and Hallgren, W.
  https://doi.org/10.36334/modsim.2023.lowchoy654

Allen, D.E.
- GANs through the looking glass: How real is the fake financial data created by Generative Adversarial Neural Nets?
  Allen, D.E., Mushunje, L. and Peiris, S.
  https://doi.org/10.36334/modsim.2023.allen

Allen, K.
- Past, present, and future droughts in the Murray–Darling Basin
  Higgins, P.A., Palmer, J.G., Andersen, M.S., Turney, C.S.M., Johnson, F.M., Allen, K., Verdon-Kidd, D. and Cook, E.R.
  https://doi.org/10.36334/modsim.2023.higgins559
- Identifying stochastic model parameter non-stationarity over multi-centennial timescales
  Armstrong, M., Kiem, A.S., Kuczera, G., Vance, T. and Allen, K.
  https://doi.org/10.36334/modsim.2023.armstrong537

Almeida, A.C.
- Kamala Basin strategy to support water resources management and basin planning in Nepal
  Almeida, A.C., Foran, T., Penton, D.J., Gnawali, K., Wahid, S. and Cuddy, S.M.
  https://doi.org/10.36334/modsim.2023.almeida
- Pathway to impact: Sustainable Development Investment Portfolio
  Wahid, S., Cuddy, S.M., Ahmad, M.D., Mainuddin, M. and Almeida, A.C.
  https://doi.org/10.36334/modsim.2023.wahid

Alonso, J.
- Can local information impact in SWAT catchment scenario modelling?
  Nervi, E., Alonso, J., Vervoort, R.W. and Baethgen, W.
  https://doi.org/10.36334/modsim.2023.nervi672
- Modelling afforestation scenarios in SWAT: Towards an improved representation of evapotranspiration
  Alonso, J., Badano, L., Vilaseca, F., Nervi, E. and Vervoort, R.W.
  https://doi.org/10.36334/modsim.2023.alonso
- Visualisation platform demo for experimental catchment data
  Nervi, E., Alonso, J., Vervoort, R.W. and Baethgen, W.
  https://doi.org/10.36334/modsim.2023.nervi545

Alsterberg, C.
- Estimation of the water balance and water yield in the Lagan River catchment, Sweden, using the Australian Water Resources Assessment Landscape Model
  Bjerkén, A., Alsterberg, C., Klante, C. and Persson, K.M.
  https://doi.org/10.36334/modsim.2023.bjerken

Alzahrani, A.
- A visual examination of Selikoff’s 20-year rule using correspondence analysis and the Cressie-Read family of divergence statistics
  Alzahrani, A., Beh, E.J. and Stojanovski, E.
  https://doi.org/10.36334/modsim.2023.alzahrani

Alzubaidi, S.
- Modelling collective states and individual-level interactions in small sheep flocks
  Welch, M.C., Alzubaidi, S. and Schaerf, T.M.
  https://doi.org/10.36334/modsim.2023.welch468

Anderlieste, M.
- WaterSENSE: Update on implementing water use monitoring and assessment services
  Wonink, S., Jackson, B., Brombacher, J., Vervoort, R.W., Einfalt, T., Anderlieste, M., Chambel Leitão, P. and Noort, M.
  https://doi.org/10.36334/modsim.2023.wonink

Andersen, M.S.
- Resolving temporal-scale differences between paleoclimate reconstructions and a groundwater model for recharge estimation
  Sharifazari, S., Andersen, M.S., Johnson, F.M., Palmer, J.G. and Turney, C.S.M.
  https://doi.org/10.36334/modsim.2023.sharifazari
- Past, present, and future droughts in the Murray–Darling Basin
  Higgins, P.A., Palmer, J.G., Andersen, M.S., Turney, C.S.M., Johnson, F.M., Allen, K., Verdon-Kidd, D. and Cook, E.R.
  https://doi.org/10.36334/modsim.2023.higgins559
- Bridging the data gap: A spatially resolved reconstruction of drought in the South Pacific Islands
  Higgins, P.A., Palmer, J.G., Andersen, M.S., Turney, C.S.M. and Johnson, F.M.
  https://doi.org/10.36334/modsim.2023.higgins276

Andersen, T.
- Strategic decisions for routing autonomous vehicles: When to reoptimise?
  Andersen, T., Sankupellay, M., Belward, S., Myers, T. and Chen, C.
  https://doi.org/10.36334/modsim.2023.andersen

Andrys, J.
- Evaluation of precipitation extremes in ERA5-driven regional climate simulations
  Ji, F., Di Virgilio, G., Nishant, N., Tam, E., Evans, J.P., Kala, J., Andrys, J., Thomas, C. and Riley, M.
  https://doi.org/10.36334/modsim.2023.ji

Ani, C.J.
- Modelling Trichodesmium optics and buoyancy in the Great Barrier Reef using the eReefs models
  Ani, C.J., Baird, M.E. and Robson, B.J.
  https://doi.org/10.36334/modsim.2023.ani317
- Connectivity modelling at local scales identifies sources and sinks of coral recruitment within reef clusters
  Ani, C.J., Cresswell, A., Haller-Bull, V., Gilmour, J. and Robson, B.J.
  https://doi.org/10.36334/modsim.2023.ani324

Anjomshoa, H.
- A data-driven preventive surgery scheduling in flexible operating rooms using stochastic optimization
  Sadegh Zadeh, H., Anjomshoa, H., Zhang, L. and Fackrell, M.
  https://doi.org/10.36334/modsim.2023.sadeghzadeh

Anstee, J.
- Using in-situ hyperspectral reflectance data for cyanobacterial bloom monitoring and forecasting
  Joehnk, K.D., Biswas, T., Anstee, J., Ford, P., Drayson, N., Kerrisk, G. and Malthus, T.
  https://doi.org/10.36334/modsim.2023.joehnk

Anthony, K.R.N.
- Consideration of temporal variability to discover ecologically robust reef futures
  Iwanaga, T., Crocker, R., Anthony, K.R.N. and Robson, B.J.
  https://doi.org/10.36334/modsim.2023.iwanaga490
- Developing synthetic datasets for reef modelling
  Crocker, R., Robson, B.J., Iwanaga, T. and Anthony, K.R.N.
  https://doi.org/10.36334/modsim.2023.crocker

Araujo, R.P.
- Capturing qualitative reef dynamics across decadal timescales
  Brown, K., Jenner, A.L., Araujo, R.P. and Corry, P.
  https://doi.org/10.36334/modsim.2023.brown

Arayachookiat, P.
- Area-business continuity management web application model test plan
  Tang, J., Leelawat, N., Sornklin, B., Chaweewongpaisal, M., Vikraipaisarn, Y., Bhisitcharoentat, Y., Arayachookiat, P., Meechang, K., Kodaka, A., Iwasaki, Y., Inoue, M. and Watanabe, K.
  https://doi.org/10.36334/modsim.2023.tang226

Arjomand, E.
- Assessing the potential impacts of well integrity failure on groundwater resources in Australia
  Doble, R., Mallants, D., Huddlestone-Holmes, C., Peeters, L.J.M., Kear, J., Turnadge, C., Wu, B., Noorduijn, S. and Arjomand, E.
  https://doi.org/10.36334/modsim.2023.doble

Armin, M.A.
- Machine learning methods for flood prediction: A review of methods, their strengths and limitations
  Karim, F., Armin, M.A., Tychsen-Smith, L., Li, R. and Penton, D.J.
  https://doi.org/10.36334/modsim.2023.karim563
- Generalizability of deep-learning-based emulation of hydrodynamic flood models
  Li, R., Tychsen-Smith, L., Karim, F., Penton, D.J. and Armin, M.A.
  https://doi.org/10.36334/modsim.2023.li398

Armstrong, M.
- Climate risk assessments in New South Wales using publicly available stochastic climate data
  Armstrong, M., Beecham, R., Dutta, D. and Higgins, P.A.
  https://doi.org/10.36334/modsim.2023.armstrong115
- Sampling NARCliM factored stochastic data for infrastructure risk assessment
  Beecham, R., Smith, C., Sugiyanto, M., Dutta, D. and Armstrong, M.
  https://doi.org/10.36334/modsim.2023.beecham
- Identifying stochastic model parameter non-stationarity over multi-centennial timescales
  Armstrong, M., Kiem, A.S., Kuczera, G., Vance, T. and Allen, K.
  https://doi.org/10.36334/modsim.2023.armstrong537

Arnold, A.D.
- Real-time problem solving at the Lunar South Pole
  Gilchrist, M.J. and Arnold, A.D.
  https://doi.org/10.36334/modsim.2023.gilchrist

Arnold, S.
- Soft sensing of water quality parameters in indoor shrimp farming using machine learning models
  Rahman, A., Arnold, S. and Emerenciano, M.
  https://doi.org/10.36334/modsim.2023.rahman28

Aryal, S.K.
- Drought propagation across the Murray–Darling Basin
  Aryal, S.K., Zheng, H. and Zhang, Y.Q.
  https://doi.org/10.36334/modsim.2023.aryal
- Water yield assessment for major river basins of Afghanistan using GR4J and GR4JSG models
  Karim, F., Penton, D.J., Aryal, S.K., Chen, Y. and Wahid, S.
  https://doi.org/10.36334/modsim.2023.karim636

Aseervatham, R.
- Managing surgical waiting lists through dynamic priority scoring
  Powers, J., McGree, J.M., Grieve, D., Aseervatham, R., Ryan, S. and Corry, P.
  https://doi.org/10.36334/modsim.2023.powers

Ashbolt, S.C.
- Planned development of a modelling information system for Melbourne's water supply system
  Kularathna, M.D.U.P., Ashbolt, S.C., Jahanbani, H. and Vu, K.
  https://doi.org/10.36334/modsim.2023.kularathna
- The role of water resource planning models in integrated water management: A Melbourne Water case study
  Ashbolt, S.C. and Kularathna, M.D.U.P.
  https://doi.org/10.36334/modsim.2023.ashbolt

Assareh, H.
- Improving access and efficiency in care delivery for patients with spinal cord injury in NSW Australia: A discrete-event dynamic simulation modelling approach
  Assareh, H., Pavlov, V., Adarkar, K., Johnson, J., Fortunato, R., Marial, O. and Middleton, J.
  https://doi.org/10.36334/modsim.2023.assareh

Athukorala, R.
- 'Stat on pixels': An automated counting method for selective fluorescent-stained microplastics using Nile Red dye
  Athukorala, R., Lynch, S.K., Johnson, C., Suzzi, A.L., Rao, S. and Foulsham, E.L.
  https://doi.org/10.36334/modsim.2023.athukorala548
- Disentangling hydrological mixtures
  Athukorala, R., Simmons, J., Cripps, S. and Vervoort, R.W.
  https://doi.org/10.36334/modsim.2023.athukorala550

Attard, S.
- i-RAT: An interactive rapid assessment tool to assess economic and environmental impacts of different sugarcane irrigation practices
  Collins, B., Attard, S., Banhalmi-Zakar, Z. and Everingham, Y.
  https://doi.org/10.36334/modsim.2023.collins
- Development of an online weather and irrigation forecast decision support tool using an action learning process
  Sexton, J., Philippa, B., Melville, B., Schepen, A., Attard, S., Davis, M. and Everingham, Y.
  https://doi.org/10.36334/modsim.2023.sexton

Austin, K.
- Using multi-replicate source modelling to create a probabilistic storage forecasting tool
  Austin, K., Neal, B., Guthrie, E., Scorah, M., Matthews, K. and Jordan, P.
  https://doi.org/10.36334/modsim.2023.austin

Avendano, B.
- The use of game-based participatory modelling to facilitate social and infrastructure resilience planning
  Avendano, B.
  https://doi.org/10.36334/modsim.2023.avendano224

Avendano, F.
- Use of APSIM Next Generation to identify in-field practices to reduce N leaching under intensive vegetable production systems
  Avendano, F., Cichota, R., Horne, D., Singh, R., Palmer, A. and Bloomer, D.
  https://doi.org/10.36334/modsim.2023.avendano334

Badano, L.
- Modelling afforestation scenarios in SWAT: Towards an improved representation of evapotranspiration
  Alonso, J., Badano, L., Vilaseca, F., Nervi, E. and Vervoort, R.W.
  https://doi.org/10.36334/modsim.2023.alonso

Bae, S.
- Evaluating the reliability of ChatGPT answers for safety management in chemical handling facilities
  Lee, D.G., Bae, S. and Baek, J.B.
  https://doi.org/10.36334/modsim.2023.lee384
- Trends in brain injury among United States female students linked to consumer products
  Le, T.D., Cook, A., Keyloun, J.W., Ledlow, G., Pusateri, A.E., Uhm, M., Bae, S. and Singh, K.P.
  https://doi.org/10.36334/modsim.2023.le254
- Impact of distance to travel in cervical cancer outcome: National Cancer Database Study
  Bae, S., Pandya, V., Park, H., Wang, Z., Wang, C., Wang, H., Uhm, M., Huh, W. and Singh, K.P.
  https://doi.org/10.36334/modsim.2023.bae
- Estimate for risk reduction rate using fuzzy-AHP and Bayesian network
  Lee, M.J., Bae, S. and Baek, J.B.
  https://doi.org/10.36334/modsim.2023.lee303

Baek, J.B.
- Study on the appropriateness of detector installation in chemical supply facilities for semiconductor manufacturing
  Oh, K.-S., Ha, S.Y. and Baek, J.B.
  https://doi.org/10.36334/modsim.2023.oh108
- Estimate for risk reduction rate using fuzzy-AHP and Bayesian network
  Lee, M.J., Bae, S. and Baek, J.B.
  https://doi.org/10.36334/modsim.2023.lee303
- Optimization of dilution ventilation layout design of isolation building using CFD
  Kim, M.C., Lee, M.J. and Baek, J.B.
  https://doi.org/10.36334/modsim.2023.kim378
- Evaluating the reliability of ChatGPT answers for safety management in chemical handling facilities
  Lee, D.G., Bae, S. and Baek, J.B.
  https://doi.org/10.36334/modsim.2023.lee384

Baethgen, W.
- Can local information impact in SWAT catchment scenario modelling?
  Nervi, E., Alonso, J., Vervoort, R.W. and Baethgen, W.
  https://doi.org/10.36334/modsim.2023.nervi672
- Visualisation platform demo for experimental catchment data
  Nervi, E., Alonso, J., Vervoort, R.W. and Baethgen, W.
  https://doi.org/10.36334/modsim.2023.nervi545

Baggaley, N.
- Cross-scale analysis of social-ecological systems: Policy options appraisal for delivering NetZero and other environmental objectives in Scotland
  Matthews, K.B., Blackstock, K.L., Wardell-Johnson, D.H., Miller, D.G., Tavana, M., Thomson, S., Moxey, A., Nielsen, R., Baggaley, N., Loades, K., Paterson, E., Pakeman, R., Hawes, C., Stockan, J., Stutter, M., Addy, S. and Wilkinson, M.
  https://doi.org/10.36334/modsim.2023.matthews

Bahramian, K.
- Streamflow regime shifts in a changing climate: A case study from Victoria, Australia
  Bende-Michl, U., Thomas, S., Bahramian, K., Kociuba, G., Sharples, W., Pepler, A. and Tolhurst, G.
  https://doi.org/10.36334/modsim.2023.bende-michl
- Towards a seamless probabilistic flood inundation modelling capability across the disaster response timeline
  Hou, J., Sharples, W., Bahramian, K., Pickett-Heaps, C.A., Woldemeskel, F., Rüdiger, C. and Carrara, E.
  https://doi.org/10.36334/modsim.2023.hou353

Baird, M.E.
- Simulated deposition of aeolian dust on the Australian continental shelf: Preliminary results
  Margvelashvili, N., Skerratt, J.H., Mongin, M., Baird, M.E. and Wild-Allen, K.
  https://doi.org/10.36334/modsim.2023.margvelashvili
- Integrating field observations and mapping with model outputs (pesticides) to help identify ecologically vulnerable areas and determine suitable field site locations in the Great Barrier Reef
  Skerratt, J.H., Baird, M.E. and Mongin, M.
  https://doi.org/10.36334/modsim.2023.skerratt
- Modelling Trichodesmium optics and buoyancy in the Great Barrier Reef using the eReefs models
  Ani, C.J., Baird, M.E. and Robson, B.J.
  https://doi.org/10.36334/modsim.2023.ani317
- A light-hearted approach to a serious problem: Building “educated trust” in models
  O'Brien, K.R., Adams, M.P., Egger, F., Maxwell, P., Weber, T., Maier, H.R., Vilas, M.P., Shaw, M., Turner, R., Birkett, G.R., Hamilton, D.P., Langsdorf, H. and Baird, M.E.
  https://doi.org/10.36334/modsim.2023.obrien

Bakar, S.
- An operational framework to automatically evaluate the quality of weather observations from third-party stations
  Shao, Q., Li, M., Dabrowski, J.J., Bakar, S., Rahman, A., Powell, A. and Henderson, B.
  https://doi.org/10.36334/modsim.2023.shao114

Baker, C.M.
- Developing an agent-based simulation model to evaluate biosecurity inspection policies
  Baker, C.M., Le, T.P., Waring, T.K. and Robinson, A.P.
  https://doi.org/10.36334/modsim.2023.baker
- A partially observed approach to invasive species management: To monitor or control?
  Waring, T.K., Somers, V., McCarthy, M. and Baker, C.M.
  https://doi.org/10.36334/modsim.2023.waring

Baker, D.
- Role of modelling and monitoring hub in fostering interagency collaboration
  Loonat, N., Baker, D., Joyner, A. and Couriel, E.
  https://doi.org/10.36334/modsim.2023.loonat

Baker, P.
- Provena: A provenance system for large distributed modelling and simulation workflows
  Yu, J., Baker, P., Cox, S.J.D., Petridis, R., Freebairn, A.C., Mirza, F., Thomas, L., Tickell, S., Lemon, D. and Rezvani, M.
  https://doi.org/10.36334/modsim.2023.yu90

Balocchi, F.
- Integrated modelling of forest growth and hydrologic processes for forest management
  Yang, J., White, D., Palma, J.H.N., Meason, D., Balocchi, F. and Rajanayaka, C.
  https://doi.org/10.36334/modsim.2023.yang393

Banhalmi-Zakar, Z.
- i-RAT: An interactive rapid assessment tool to assess economic and environmental impacts of different sugarcane irrigation practices
  Collins, B., Attard, S., Banhalmi-Zakar, Z. and Everingham, Y.
  https://doi.org/10.36334/modsim.2023.collins

Barca, J.C.
- A review of UAV swarm-based detection of a dynamic contamination plume
  Borazjani, S., Kennedy, J., Barca, J.C. and Crase, S.
  https://doi.org/10.36334/modsim.2023.borazjani

Barton, C.M.
- Earth systems to Anthropocene systems: An evolutionary, system-of-systems, convergence paradigm for interdependent societal challenges
  Little, J.C., Kaaronen, R.O., Hukkinen, J.I., Xiao, S., Sharpee, T., Farid, A.M., Nilchiani, R. and Barton, C.M.
  https://doi.org/10.36334/modsim.2023.little

Batelaan, O.
- A large difference in rain use efficiency among Australian terrestrial ecosystems
  Liu, Z., Guan, H., Batelaan, O. and Grzegorz, S.
  https://doi.org/10.36334/modsim.2023.liu258
- Using expert participation to evaluate the accuracy and variability of hand-drawn water table mapping
  Marshall, S.K., Batelaan, O. and Peeters, L.J.M.
  https://doi.org/10.36334/modsim.2023.marshall
- Spatial modelling of understorey evapotranspiration based on the maximum entropy production method
  Liu, W., Guan, H., Bruce, D., Batelaan, O., Keane, R., Keegan-Treloar, R., Gutiérrez-Jurado, K.Y., Thompson, J. and Wang, J.
  https://doi.org/10.36334/modsim.2023.liu287
- Predicting surface-specific humidity from radiative temperature and ambient weather for evapotranspiration modelling
  Gou, J., Liu, W., Guan, H., Batelaan, O., Bruce, D., Gutierrez, K., Wang, H., Gutierrez, H., Burk, L., Thompson, J. and Woods, J.
  https://doi.org/10.36334/modsim.2023.gou
- Increasing our understanding of the adjoint state method of model sensitivity calculation
  Turnadge, C., Neupauer, R.M., Batelaan, O., Crosbie, R.S. and Simmons, C.T.
  https://doi.org/10.36334/modsim.2023.turnadge

Bath, A.
- Predicting impact of fires on water quality
  Miotlinski, K., Horwitz, P., Bellhouse, J.A., Blake, D., Silberstein, R., Bath, A., Mitchell, A., Carvalho, A. and Tshering, K.
  https://doi.org/10.36334/modsim.2023.miotlinski

Battaglia, M.
- Integrated modelling of forest growth and hydrologic processes for forest management
  Yang, J., White, D., Palma, J.H.N., Meason, D., Balocchi, F., Rajanayaka, C., Dawes, W. and Battaglia, M.
  https://doi.org/10.36334/modsim.2023.yang393

Baumgartl, T.
- Decoding soil-plant-atmosphere processes by extending in-situ monitoring and experimental data with numerical modelling
  Filipović, V., Krevh, V. and Baumgartl, T.
  https://doi.org/10.36334/modsim.2023.filipovic

Baumgartner, P.
- Indoor movement data analytics based on machine learning for manufacturing assembly line
  Rana, M., Smith, D.V., Rahman, A. and Baumgartner, P.
  https://doi.org/10.36334/modsim.2023.rana
- Data-driven probabilistic logic programming applied to movement analytics in manufacturing
  Tartaglia, E. and Baumgartner, P.
  https://doi.org/10.36334/modsim.2023.tartaglia

Baur, L.
- Exploring policy options in a system dynamics model of childhood and adolescent obesity
  Chiu, S., Freebairn, L., Occhipinti, J. and Baur, L.
  https://doi.org/10.36334/modsim.2023.chiu524

Bayer, P.
- Modelling the impact of climate change on global groundwater temperatures
  Benz, S.A., Irvine, D.J., Rau, G.C., Bayer, P., Menberg, K., Blum, P., Jamieson, R.C., Griebler, C. and Kurylyk, B.L.
  https://doi.org/10.36334/modsim.2023.benz

Bayraktarov, E.
- The sensitivity of species distribution models to new data and the utility of putting uncertainty on the map
  Clemens, R., Schwenke, A., Bayraktarov, E. and Laffan, S.W.
  https://doi.org/10.36334/modsim.2023.clemens

Beale, P.J.
- A method to improve the efficiency of calibrating biophysical models for pastures
  Thomas, D.T., Chen, C., Ota, N., Mata, G., Murphy, S.R., Giblin, S. and Beale, P.J.
  https://doi.org/10.36334/modsim.2023.thomas105

Beatty, R.
- Forecast of residential demand drivers for Greater Darwin
  Beatty, R., Pinto, R. and Holden, R.
  https://doi.org/10.36334/modsim.2023.beatty

Beecham, R.
- Climate risk assessments in New South Wales using publicly available stochastic climate data
  Armstrong, M., Beecham, R., Dutta, D. and Higgins, P.A.
  https://doi.org/10.36334/modsim.2023.armstrong115
- Sampling NARCliM factored stochastic data for infrastructure risk assessment
  Beecham, R., Smith, C., Sugiyanto, M., Dutta, D. and Armstrong, M.
  https://doi.org/10.36334/modsim.2023.beecham

Beh, E.H.Y.
- Modelling Lake Bonney: The salty problem child of the Lock 3 weir pool at River Murray South Australia
  Beh, E.H.Y.
  https://doi.org/10.36334/modsim.2023.beh

Beh, E.J.
- A visual examination of Selikoff’s 20-year rule using correspondence analysis and the Cressie-Read family of divergence statistics
  Alzahrani, A., Beh, E.J. and Stojanovski, E.
  https://doi.org/10.36334/modsim.2023.alzahrani

Belik, V.
- Infectious disease spread in free-range egg-laying hens based on empirical mobility patterns and contact networks
  Palmini, A., Jarynowski, A., Welch, M.C., Belik, V., Sibanda, T. and Ruhnke, I.
  https://doi.org/10.36334/modsim.2023.palmini

Beling, E.
- Combining salinity and water management modelling for the Hawkesbury Nepean Valley
  Simpson, J., Podger, S., Li, C., Nicholls, J., Kumandur, K., Dunne, P., Beling, E. and Coen, F.
  https://doi.org/10.36334/modsim.2023.simpson120

Bellhouse, J.A.
- Applying the Bureau of Meteorology’s national hydrological projections dataset to assess risks to future water supply scheme reliability
  Bellhouse, J.A., Schopf, J. and Turner, M.
  https://doi.org/10.36334/modsim.2023.bellhouse
- Predicting impact of fires on water quality
  Miotlinski, K., Horwitz, P., Bellhouse, J.A., Blake, D., Silberstein, R., Bath, A., Mitchell, A., Carvalho, A. and Tshering, K.
  https://doi.org/10.36334/modsim.2023.miotlinski

Belward, S.
- Strategic decisions for routing autonomous vehicles: When to reoptimise?
  Andersen, T., Sankupellay, M., Belward, S., Myers, T. and Chen, C.
  https://doi.org/10.36334/modsim.2023.andersen

Bende-Michl, U.
- Streamflow regime shifts in a changing climate: A case study from Victoria, Australia
  Bende-Michl, U., Thomas, S., Bahramian, K., Kociuba, G., Sharples, W., Pepler, A. and Tolhurst, G.
  https://doi.org/10.36334/modsim.2023.bende-michl
- What is the flood risk in Australia under future climate?
  Khan, Z., Bende-Michl, U., Srikanthan, S., Vogel, E., Sharples, W., Peter, J., Hope, P., Dowdy, A. and Wilson, L.
  https://doi.org/10.36334/modsim.2023.khan432
- Contrasting sediment and nutrient export patterns across different hydrological regimes: A case study in the Great Barrier Reef catchments
  Liu, S., Guo, D., Bende-Michl, U., Lintern, A., Waters, D.K. and Wang, Q.
  https://doi.org/10.36334/modsim.2023.liu77
- Australia’s water quality trends over two decades
  Guo, D., Minaudo, C., Zhang, Q., Dupas, R., Liu, S., Zhang, K., Bende-Michl, U., Duvert, C. and Lintern, A.
  https://doi.org/10.36334/modsim.2023.guo615
- A guide to future climate projections for water resource management in Western Australia
  Schopf, J., Kitsios, A., McCallum, S., Turner, M., Bende-Michl, U. and Hall, J.
  https://doi.org/10.36334/modsim.2023.schopf

Bennett, B.
- Streamflow-based evaluation highlights discrepancies in stochastic rainfall model performance
  Nguyen, T., Bennett, B. and Leonard, M.
  https://doi.org/10.36334/modsim.2023.nguyen509

Bennett, D.
- How ‘green’ is my hydrogen? A comparative study of land, water, and wastewater footprints of renewable hydrogen production
  Thomas, H., Bennett, D., Peeters, L.J.M. and Holland, K.
  https://doi.org/10.36334/modsim.2023.thomas391

Bennett, F.R.
- Parameter sensitivity analysis of the MERGE quasi-steady state gully erosion model
  Bennett, F.R., Singh, A. and Roberts, M.E.
  https://doi.org/10.36334/modsim.2023.bennett128
- Assimilating modelled dissolved inorganic nitrogen loads to monitored data using component-wise iterative ensemble Kalman inversion
  Bennett, F.R., Botha, I., Adams, M.P. and Drovandi, C.
  https://doi.org/10.36334/modsim.2023.bennett42

Bennett, J.C.
- Understanding residual risks of forecast-informed river system operations
  Robertson, D.E., Ng, T.L., Shrestha, D.L. and Bennett, J.C.
  https://doi.org/10.36334/modsim.2023.robertson
- Building a modern, all-purpose hydrological forecasting system
  Matala, A., Hunter, J., Robinson, K. and Bennett, J.C.
  https://doi.org/10.36334/modsim.2023.matala
- Better accounting of droughts in long-range inflow predictions with TULIP
  Horsley, D., Bennett, J.C., Schepen, A. and Robertson, D.E.
  https://doi.org/10.36334/modsim.2023.horsley
- Realised added value in rainfall trends and variance from regional climate models
  Teng, J., Bennett, J.C., Charles, S., Chiew, F.H.S., Ji, F., Potter, N., Fu, G. and Thatcher, M.
  https://doi.org/10.36334/modsim.2023.teng316

Benz, S.A.
- Modelling the impact of climate change on global groundwater temperatures
  Benz, S.A., Irvine, D.J., Rau, G.C., Bayer, P., Menberg, K., Blum, P., Jamieson, R.C., Griebler, C. and Kurylyk, B.L.
  https://doi.org/10.36334/modsim.2023.benz

Bhisitcharoentat, Y.
- Area-business continuity management web application model test plan
  Tang, J., Leelawat, N., Sornklin, B., Chaweewongpaisal, M., Vikraipaisarn, Y., Bhisitcharoentat, Y., Arayachookiat, P., Meechang, K., Kodaka, A., Iwasaki, Y., Inoue, M. and Watanabe, K.
  https://doi.org/10.36334/modsim.2023.tang226
- Effective user interface and user experience design for disaster-related applications: A review
  Bhisitcharoentat, Y., Saengtabtim, K., Leelawat, N. and Tang, J.
  https://doi.org/10.36334/modsim.2023.bhisitcharoentat

Bhosale, B.
- Wavelet-curvelet-contourlet based remote sensing data mining model
  Bhosale, B.
  https://doi.org/10.36334/modsim.2023.bhosale

Birand, A.
- Modelling eradication potential of a newly developed gene drive strategy in mice using spatially explicit agent-based simulations
  Birand, A., Gierus, L., Cassey, P., Ross, J.V., Prowse, T.A.A. and Thomas, P.Q.
  https://doi.org/10.36334/modsim.2023.birand

Birkett, G.R.
- A light-hearted approach to a serious problem: Building “educated trust” in models
  O'Brien, K.R., Adams, M.P., Egger, F., Maxwell, P., Weber, T., Maier, H.R., Vilas, M.P., Shaw, M., Turner, R., Birkett, G.R., Hamilton, D.P., Langsdorf, H. and Baird, M.E.
  https://doi.org/10.36334/modsim.2023.obrien
- Mathematical modelling demonstrates how students can get stuck in unproductive learning regimes
  Egger, F., Lodge, J.M., Adams, M.P., Birkett, G.R., Monsalve-Bravo, G.M., Howes, T. and O'Brien, K.R.
  https://doi.org/10.36334/modsim.2023.egger512

Bishop, T.
- A framework for the fusion of earth observation and soil data to constrain soil organic carbon model parameters
  Ugbaje, S.U., Pagendam, D.E., Karunaratne, S., Bishop, T., Mishra, U., Gautam, S. and Farrell, M.
  https://doi.org/10.36334/modsim.2023.ugbaje

Biswas, P.
- Exploring the impact of modelling assumptions on distributive justice using JUSTICE
  Biswas, P., Akoluk, D., Zatarain Salazar, J., Kwakkel, J.H. and Verbraeck, A.
  https://doi.org/10.36334/modsim.2023.biswas

Biswas, T.
- Using in-situ hyperspectral reflectance data for cyanobacterial bloom monitoring and forecasting
  Joehnk, K.D., Biswas, T., Anstee, J., Ford, P., Drayson, N., Kerrisk, G. and Malthus, T.
  https://doi.org/10.36334/modsim.2023.joehnk

Bjerkén, A.
- Estimation of the water balance and water yield in the Lagan River catchment, Sweden, using the Australian Water Resources Assessment Landscape Model
  Bjerkén, A., Alsterberg, C., Klante, C. and Persson, K.M.
  https://doi.org/10.36334/modsim.2023.bjerken

Blackstock, K.L.
- Cross-scale analysis of social-ecological systems: Policy options appraisal for delivering NetZero and other environmental objectives in Scotland
  Matthews, K.B., Blackstock, K.L., Wardell-Johnson, D.H., Miller, D.G., Tavana, M., Thomson, S., Moxey, A., Nielsen, R., Baggaley, N., Loades, K., Paterson, E., Pakeman, R., Hawes, C., Stockan, J., Stutter, M., Addy, S. and Wilkinson, M.
  https://doi.org/10.36334/modsim.2023.matthews

Blake, D.
- Predicting impact of fires on water quality
  Miotlinski, K., Horwitz, P., Bellhouse, J.A., Blake, D., Silberstein, R., Bath, A., Mitchell, A., Carvalho, A. and Tshering, K.
  https://doi.org/10.36334/modsim.2023.miotlinski

Blondeau-Patissier, D.
- Application of denoising diffusion models in the augmentation of a regional dataset of inherent optical properties and applications for remote sensing
  Drayson, N., Diakogiannis, F., Cherukuru, N., Blondeau-Patissier, D. and Schroeder, T.
  https://doi.org/10.36334/modsim.2023.drayson

Bloomer, D.
- Use of APSIM Next Generation to identify in-field practices to reduce N leaching under intensive vegetable production systems
  Avendano, F., Cichota, R., Horne, D., Singh, R., Palmer, A. and Bloomer, D.
  https://doi.org/10.36334/modsim.2023.avendano334

Bloomfield, M.
- Prediction of wheat and barley phenology through integration of genomic prediction and a crop growth model
  Zheng, B., Brown, H., Zhao, Z.G., Wang, E., Huth, N.I., Dillon, S., Hyles, J., Rathjen, T., Bloomfield, M., Celestina, C., Hunt, J. and Trevaskis, B.
  https://doi.org/10.36334/modsim.2023.zheng289

Blum, P.
- Modelling the impact of climate change on global groundwater temperatures
  Benz, S.A., Irvine, D.J., Rau, G.C., Bayer, P., Menberg, K., Blum, P., Jamieson, R.C., Griebler, C. and Kurylyk, B.L.
  https://doi.org/10.36334/modsim.2023.benz

Blumson, D.
- Modelling the impacts of non-kinetic factors on combat effectiveness: The role of deception
  Hock, K., Staby, S.-E., Gary, M.S., Kosowski, L., Blumson, D., Cao, H.T., Elsawah, S., Kempt, N. and Richmond, M.K.
  https://doi.org/10.36334/modsim.2023.hock
- Moving beyond attrition in modelling land combat
  Staby, S.-E., Blumson, D., Cao, T., Elsawah, S., Gary, M.S., Hock, K., Kosowski, L. and Richmond, M.K.
  https://doi.org/10.36334/modsim.2023.staby373

Bode, M.
- Daily rhythmic behaviour of water buffalo and its effect on their spatial distribution
  Forrest, S.W., Pagendam, D.E., Hoskins, A.J., Drovandi, C., Perry, J., Vanderduys, E. and Bode, M.
  https://doi.org/10.36334/modsim.2023.forrest

Bogomolov, T.
- Markov chain modelling of causality in anomalous and non-anomalous combat event series
  Tiong, J.K.R., Bogomolov, T. and Chiera, B.A.
  https://doi.org/10.36334/modsim.2023.tiong

Boisgontier, H.
- Towards scalable and reproducible hydrological modelling with HydroMT: A proof of concept for Australia
  Hegnauer, M., Maguire, S., Eilander, D. and Boisgontier, H.
  https://doi.org/10.36334/modsim.2023.hegnauer

Boland, J.
- Probabilistic forecasting for solar energy
  Boland, J.
  https://doi.org/10.36334/modsim.2023.boland

Bolger, M.
- The importance of self-awareness to digital twins
  Hetherton, L., Bolger, M., Xie, P., Zhang, Z. and Rucinski, C.
  https://doi.org/10.36334/modsim.2023.hetherton
- Workspace and the Mixed Reality Lab: Where scientific workflows meet Industry 4.0
  Watkins, D., Bolger, M. and Zhang, Z.
  https://doi.org/10.36334/modsim.2023.watkins

Bolt, A.
- Building trust in hazard model uncertainties
  Huston, C., Kuhnert, P.M., Bolt, A. and Davis, J.
  https://doi.org/10.36334/modsim.2023.huston454

Bolz, P.
- Bias-correcting regional climate models for rainfall erosivity projections: How much does it matter?
  Bulovic, N., McIntyre, N., Trancoso, R., Bolz, P. and Shaygan, M.
  https://doi.org/10.36334/modsim.2023.bulovic618
- Evaluating downscaled CMIP5 and CMIP6 for rainfall erosivity projections
  Bulovic, N., McIntyre, N., Trancoso, R., Bolz, P. and Shaygan, M.
  https://doi.org/10.36334/modsim.2023.bulovic428

Borazjani, S.
- A review of UAV swarm-based detection of a dynamic contamination plume
  Borazjani, S., Kennedy, J., Barca, J.C. and Crase, S.
  https://doi.org/10.36334/modsim.2023.borazjani

Botelho, D.
- Developing an assessment framework to guide investment in water models
  Gibbes, B., Botelho, D., Singh, A., Rissik, D. and Hipsey, M.R.
  https://doi.org/10.36334/modsim.2023.gibbes

Botev, Z.
- A continuous optimization algorithm for column subset selection
  Mathur, A., Moka, S. and Botev, Z.
  https://doi.org/10.36334/modsim.2023.mathur

Botha, I.
- Assimilating modelled dissolved inorganic nitrogen loads to monitored data using component-wise iterative ensemble Kalman inversion
  Bennett, F.R., Botha, I., Adams, M.P. and Drovandi, C.
  https://doi.org/10.36334/modsim.2023.bennett42

Box, P.
- Identifying groundwater-dependent vegetation in arid zone Australia using imagery time series and singular value decomposition
  Box, P., Brim Box, J., Cobban, D., Lieper, I. and Nano, C.
  https://doi.org/10.36334/modsim.2023.box387
- Agent-based model of Macrobrachium sp. migration in the Daly River, Northern Territory, Australia
  Box, P., Brim Box, J. and Novak, P.
  https://doi.org/10.36334/modsim.2023.box390

Branchaud, D.
- Advancing environmental management through digital twin technology: A demonstration and future outlook for land and water resource development in Australia
  Branchaud, D., Seo, L., Petheram, C., Fu, Q. and Watson, I.
  https://doi.org/10.36334/modsim.2023.branchaud
- Digital twin–based river-system model
  Seo, L., Branchaud, D., Petheram, C. and Watson, I.
  https://doi.org/10.36334/modsim.2023.seo610

Breda, A.
- Assessment of mangroves' resilience to land use and climate change in the Pacific Islands
  Jorquera, E., Quijano Baron, J.P., Breda, A., Sandi, S.G., Verdon-Kidd, D., Saco, P.M. and Rodríguez, J.F.
  https://doi.org/10.36334/modsim.2023.jorquera
- The influence of different objective functions in GR4J model-on-model performance for streamflow forecasting application
  Nguyen, H., Tuteja, N., Perera, H., Raut, A., Hameed, T., Neupane, R. and Breda, A.
  https://doi.org/10.36334/modsim.2023.nguyen546
- Ecohydrological interactions in coastal wetlands and their resilience to future sea-level rise
  Saco, P.M., Rodríguez, J.F., Breda, A. and Sandi, S.G.
  https://doi.org/10.36334/modsim.2023.saco

Bremner, S.
- Assessing the impact of Australian bushfires on rooftop photovoltaic energy production
  Isaza, A., Kay, M., Evans, J.P., Prasad, A. and Bremner, S.
  https://doi.org/10.36334/modsim.2023.isaza
- Estimation of long-term solar power fluctuations across Australia using high-resolution regional climate projections
  Poddar, S., Evans, J.P., Kay, M., Prasad, A. and Bremner, S.
  https://doi.org/10.36334/modsim.2023.poddar

Brettig, P.
- Barossa water security strategy: A demonstration of community leadership, strategic foresight, climate resilience and systems modelling
  Leigh, R., Kingsborough, A., Westra, S., Brettig, P. and Helfgott, A.
  https://doi.org/10.36334/modsim.2023.leigh

Bridgart, R.
- A new tool for determining potential biomass use for bioenergy in New South Wales
  Perraud, J.-M., Bridgart, R., Carney, C. and Ximenes, F.
  https://doi.org/10.36334/modsim.2023.perraud379

Brieva, C.
- NDVI and accumulated antecedent precipitation in the drylands of Mendoza, Argentina
  Brieva, C., Saco, P.M., Rodríguez, J.F. and Sandi, S.G.
  https://doi.org/10.36334/modsim.2023.brieva

Brim Box, J.
- Identifying groundwater-dependent vegetation in arid zone Australia using imagery time series and singular value decomposition
  Box, P., Brim Box, J., Cobban, D., Lieper, I. and Nano, C.
  https://doi.org/10.36334/modsim.2023.box387
- Agent-based model of Macrobrachium sp. migration in the Daly River, Northern Territory, Australia
  Box, P., Brim Box, J. and Novak, P.
  https://doi.org/10.36334/modsim.2023.box390

Brombacher, J.
- WaterSENSE: Update on implementing water use monitoring and assessment services
  Wonink, S., Jackson, B., Brombacher, J., Vervoort, R.W., Einfalt, T., Anderlieste, M., Chambel Leitão, P. and Noort, M.
  https://doi.org/10.36334/modsim.2023.wonink

Brookes, K.
- Strategic assessment of proposed river infrastructure, with Clarence River – Bellingen Pipeline, as an example
  Driver, P.D., Taylor, N., Carey, B., Cu, T.P., Brookes, K. and Harris, D.
  https://doi.org/10.36334/modsim.2023.driver209

Brooks, S.
- Assessing floodplain ecosystem ecohydrological responses in the Murray-Darling Basin using multiple lines of spatial evidence
  Brooks, S., Doody, T.M. and Gao, S.
  https://doi.org/10.36334/modsim.2023.brooks

Brown, H.
- Cross-scale modelling of cropping systems: from gene/genome to landscape in era of big data
  Wang, E., Brown, H., Trevaskis, B., Zheng, B., Rebetzke, G., Zhao, Z.G., Huth, N.I., He, D., Hyles, J., Glover, M., Malone, B. and Macdonald, B.
  https://doi.org/10.36334/modsim.2023.wang299
- Use of SCRUM-APSIM to predict soil water and soil nitrogen dynamics in arable crop rotations
  Khaembah, E.N., Thomas, S., Cichota, R., Sharp, J. and Brown, H.
  https://doi.org/10.36334/modsim.2023.khaembah
- Prediction of wheat and barley phenology through integration of genomic prediction and a crop growth model
  Zheng, B., Brown, H., Zhao, Z.G., Wang, E., Huth, N.I., Dillon, S., Hyles, J., Rathjen, T., Bloomfield, M., Celestina, C., Hunt, J. and Trevaskis, B.
  https://doi.org/10.36334/modsim.2023.zheng289

Brown, K.
- Capturing qualitative reef dynamics across decadal timescales
  Brown, K., Jenner, A.L., Araujo, R.P. and Corry, P.
  https://doi.org/10.36334/modsim.2023.brown

Browne, C.
- If this, then that, then what? A generative process for overcoming implicit bias in the initial phases of participatory modelling
  Browne, C. and Nabavi, E.
  https://doi.org/10.36334/modsim.2023.browne

Bruce, D.
- Spatial modelling of understorey evapotranspiration based on the maximum entropy production method
  Liu, W., Guan, H., Bruce, D., Batelaan, O., Keane, R., Keegan-Treloar, R., Gutiérrez-Jurado, K.Y., Thompson, J. and Wang, J.
  https://doi.org/10.36334/modsim.2023.liu287
- Predicting surface-specific humidity from radiative temperature and ambient weather for evapotranspiration modelling
  Gou, J., Liu, W., Guan, H., Batelaan, O., Bruce, D., Gutierrez, K., Wang, H., Gutierrez, H., Burk, L., Thompson, J. and Woods, J.
  https://doi.org/10.36334/modsim.2023.gou

Bryan, B.A.
- Socio-ecological system dynamics modelling for sustainability assessment at the local scale
  Szetey, K., Moallemi, E.A. and Bryan, B.A.
  https://doi.org/10.36334/modsim.2023.szetey

Bryant, C.
- Modelling the probability of lightning-caused ignitions in Australia
  Zhao, L., Yebra, M. and Bryant, C.
  https://doi.org/10.36334/modsim.2023.zhao580

Bulovic, N.
- Bias-correcting regional climate models for rainfall erosivity projections: How much does it matter?
  Bulovic, N., McIntyre, N., Trancoso, R., Bolz, P. and Shaygan, M.
  https://doi.org/10.36334/modsim.2023.bulovic618
- Evaluating downscaled CMIP5 and CMIP6 for rainfall erosivity projections
  Bulovic, N., McIntyre, N., Trancoso, R., Bolz, P. and Shaygan, M.
  https://doi.org/10.36334/modsim.2023.bulovic428

Bulumulla, C.
- Modelling self-evacuation archetypes to improve wildfire evacuation traffic simulations: A regional case study
  Singh, D., Bulumulla, C., Strahan, K., Gilbert, J., Gamage, P., Marquez, L. and Lemiale, V.
  https://doi.org/10.36334/modsim.2023.singh54

Bunney, E.
- Are terrestrial groundwater-dependent ecosystems dependent on groundwater from localised or regional aquifers?
  Pritchard, J.L. and Bunney, E.
  https://doi.org/10.36334/modsim.2023.pritchard

Burdett, R.
- A comprehensive approach to operating theatre scheduling
  Humphreys, P., Spratt, B., Tariverdi, M., Hamilton, A., Cook, D., Burdett, R., Yarlagadda, P. and Corry, P.
  https://doi.org/10.36334/modsim.2023.humphreys

Burford, M.
- Assessing algal bloom risks from purified recycled water addition to Lake Wivenhoe
  Yu, S., Hamilton, D.P., Okely, P., Smolders, K. and Burford, M.
  https://doi.org/10.36334/modsim.2023.yu532
- Flow deficits in northern Australian estuaries: Implications for water extraction
  Egger, F., Burford, M., Weber, T. and O'Brien, K.R.
  https://doi.org/10.36334/modsim.2023.egger513

Burk, L.
- Predicting surface-specific humidity from radiative temperature and ambient weather for evapotranspiration modelling
  Gou, J., Liu, W., Guan, H., Batelaan, O., Bruce, D., Gutierrez, K., Wang, H., Gutierrez, H., Burk, L., Thompson, J. and Woods, J.
  https://doi.org/10.36334/modsim.2023.gou

Burns, G.
- Exploring future climate impacts on water allocations in the southern Murray–Darling Basin
  Fowler, K.J.A., Horne, A., Haddock, L., Burns, G. and Zhang, Z.
  https://doi.org/10.36334/modsim.2023.fowler638
- A practical approach to assessing climate change impacts on snow cover and streamflow in southeast Australia
  Burns, G., Fowler, K.J.A. and Horne, A.
  https://doi.org/10.36334/modsim.2023.burns

Butler, K.
- Bottlenecks, feedbacks and thresholds in wildfire suppression
  McCarthy, N.F., Duff, T., Butler, K. and Deutsch, S.
  https://doi.org/10.36334/modsim.2023.mccarthy

Modelling to support planning for resilience in a changing world