Richard Laugesen

Higher Degree by Research Candidate

School of Architecture and Civil Engineering

Faculty of Sciences, Engineering and Technology


  • Journals

    Year Citation
    2024 Bari, M. A., Khan, U., Amirthanathan, G. E., Tuteja, M., & Laugesen, R. M. (2024). Simulation of Gauged and Ungauged Streamflow of Coastal Catchments across Australia. Water (Switzerland), 16(4), 26 pages.
    DOI
    2023 Laugesen, R., Thyer, M., McInerney, D., & Kavetski, D. (2023). Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts. Hydrology and Earth System Sciences, 27(4), 873-893.
    DOI
    2022 Laugesen, R., Thyer, M., McInerney, D., & Kavetski, D. (2022). Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts.
    DOI
    2022 Mcinerney, D., Thyer, M., Kavetski, D., Laugesen, R., Woldemeskel, F., Tuteja, N., & Kuczera, G. (2022). Seamless streamflow forecasting at daily to monthly scales: MuTHRE lets you have your cake and eat it too. Hydrology and Earth System Sciences, 26(21), 5669-5683.
    DOI Scopus2
    2021 McInerney, D., Thyer, M., Kavetski, D., Laugesen, R., Woldemeskel, F., Tuteja, N., & Kuczera, G. (2021). Improving the reliability of sub‐seasonal forecasts of high and low flows by using a flow‐dependent non‐parametric model. Water Resources Research, 57(11), 16 pages.
    DOI Scopus8 WoS4
    2020 Khan, U., Cook, F. J., Laugesen, R., Hasan, M. M., Plastow, K., Amirthanathan, G. E., . . . Tuteja, N. K. (2020). Development of catchment water quality models within a realtime status and forecast system for the Great Barrier Reef. Environmental Modelling and Software, 132, 104790.
    DOI Scopus10
    2020 McInerney, D., Thyer, M., Kavetski, D., Laugesen, R., Tuteja, N., & Kuczera, G. (2020). Multi‐temporal hydrological residual error modelling for seamless sub‐seasonal streamflow forecasting. Water Resources Research, 56(11), 1-33.
    DOI Scopus25 WoS20
    2018 Zangmo, S., Laugesen, R., O Toole, J. M., & Gyeltshen, K. (2018). Cloze as a measure of specialist language difficulties:Write-in or multiple choice?. Bhutan Journal of Research & Development, 7, 26-31.
    2016 Zhang, X. S., Amirthanathan, G. E., Bari, M. A., Laugesen, R. M., Shin, D., Kent, D. M., . . . Tuteja, N. K. (2016). How streamflow has changed across Australia since the 1950s: Evidence from the network of hydrologic reference stations. Hydrology and Earth System Sciences, 20(9), 3947-3965.
    DOI Scopus83 WoS69
    2016 Zhang, S. X., Amirthanathan, G. E., Bari, M., Laugesen, R., Shin, D., Kent, D., . . . Tuteja, N. K. (2016). How streamflow has changed across Australia since 1950's: Evidence from the network of Hydrologic Reference Stations. Hydrology and Earth System Sciences Discussions, 2016.
    DOI
  • Books

    Year Citation
    2011 O Toole, J. M., & Laugesen, R. (2011). Developing Specialist Language Styles: Research & Application. Boraga Academic / Five Mile Press.
  • Conference Papers

    Year Citation
    2021 McInerney, D., Thyer, M., Kavetski, D., Laugesen, R., Woldemsekel, F., Tuteja, N., & Kuczera, G. (2021). Improving sub-seasonal streamflow forecasts across flow regimes. In MODSIM2021, 24th International Congress on Modelling and Simulation. (pp. 616-622). Canberra, ACT, Australia: Modelling and Simulation Society of Australia and New Zealand.
    DOI
    2021 Thyer, M., McInerney, D., Kavetski, D., Laugesen, R., Woldemeskel, F., Tuteja, N., & Kuczera, G. (2021). Advances in subseasonal streamflow forecasting: An overview. In R. W. Vervoort, A. A. Voinov, J. P. Evans, & L. Marshall (Eds.), MODSIM2021, 24th International Congress on Modelling and Simulation. (pp. 623-629). Canberra, ACT, Australia: Modelling and Simulation Society of Australia and New Zealand.
    DOI
    2021 McInerney, D., Thyer, M., Kavetski, D., Laugesen, R., Tuteja, N., & Kuczera, G. (2021). The MuTHRE Model for High Quality Sub-seasonal Streamflow Forecasts. In Proceedings of the Hydrology and Water Resources Symposium (HWRS 2021) (pp. 444-452). Online: Engineers Australia.
    2018 Kabir, A., Hasan, M. M., Hapuarachchi, H. A. P., Zhang, X. S., Liyanage, J., Gamage, N., . . . Bennett, J. C. (2018). Evaluation of multi-model rainfall forecasts for the national 7-day ensemble streamflow forecasting service. In 2018 Hydrology and Water Resources Symposium, HWRS 2018: Water and Communities (pp. 393-406).
    Scopus1
    2017 Brassington, G. B., Tuteja, N., Colberg, F., Sandery, P., Sakov, P., Sakova, I., . . . Treleaven, J. (2017). EReefs: An integrated catchment and coastal forecasting system for the great barrier reef and Queensland coast. In Australasian Coasts and Ports 2017 Conference (pp. 166-171).
    2017 Cook, F. J., Khan, U., Laugesen, R., Amirthanathan, G., Tuteja, N. K., & Bari, M. A. (2017). Concepts, Philosophy and Methods for Development of a General Linear Statistical model for River Water Qualityc. In Modsim 2017 - 22nd International Congress on Modelling and Simulation, 3-8 December 2017, Hobart, Tasmania (pp. 607).
    2017 Laugesen, R. M., Tuteja, N. K., Amirthanathan, G. E., Kent, D. M., & Hasan, M. M. (2017). Forecasts and simulations of river water quantity and quality caused by Tropical Cyclone Debbie over Fitzroy River Basin. In Modsim 2017 - 22nd International Congress on Modelling and Simulation, 3-8 December 2017, Hobart, Tasmania (pp. 585).
    2017 Laugesen, R., Khan, U., Amirthananthan, G., Cook, F., Hasan, M., Hapuarachchi, P., . . . Tuteja, N. (2017). Forecasts of streamflow and water quality for catchments contributing to the Great Barrier Reef. In 6th Queensland Coastal Conference, Airlie Beach QLD , Australia 5-7 September, 2017.
    2017 Cook, F. J., Khan, U., Laugesen, R., Amirthanathan, G., Tuteja, N. K., & Bari, M. A. (2017). Concepts, Philosophy and Methods for Development of a General Linear Statistical model for River Water Quality. In Proceedings - 22nd International Congress on Modelling and Simulation, MODSIM 2017 (pp. 1850-1856).
    Scopus1
    2015 Shin, D., MacDonald, A., Kent, D., Hapuarachchi, P., Plastow, K., Laugesen, R., . . . Tuteja, N. (2015). Operational modelling system development for short-term and seasonal streamflow forecasting services. In The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015 (pp. 657-664).
    Scopus1
    2015 Lerat, J., Schepen, A., Laugesen, R., Khan, U., Pickett C, . -H., Shin, D., & Wang, Q. J. (2015). Value of ensemble merging for seasonal streamflow forecasts. In Modsim 2015 - 21st International Congress on Modelling and Simulation, 29 November - 4 December 2015, Gold Coast.
    2015 Lerat, J., Pickett-Heaps, C., Shin, D., Zhou, S., Feikema, P., Khan, U., . . . Kavetski, D. (2015). Dynamic streamflow forecasts within an uncertainty framework for 100 catchments in Australia. In The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015 (pp. 1396-1403). online: Engineers Australia.
    Scopus5
    2014 Lerat, J., Tuteja, N., Shin, D., Laugesen, R., MacDonald, A., Khan, U., . . . Pickett-Heaps, C. (2014). Driving a hydrological model with downscaled climate forecasts for seasonal streamflow forecasting. In International Riversymposium 2014.
    2013 Wethasinghe, C., Tuteja, N. K., & Laugesen, R. (2013). Dynamic seasonal streamflow forecasting approach - Evaluation of rainfall runoff model performances. In Proceedings of MODSIM 2013 - 20th International Congress on Modelling and Simulation, 1-6 December 2013 (pp. 684).
    2013 Shin, D., Tuteja, N. K., Zhou, S., Schepen, A., Perkins, J., Kabir, A., . . . Feikema, P. M. (2013). Seasonal Hydrologic Forecasting for Water Resources Management. In AGU Chapman Conference 2013, Portland Oregon, USA (28-31 July, 2013.
    2012 Tuteja, N. K., Wang, Q. J., Kuczera, G., Shin, D., & Laugesen, R. (2012). Application of seasonal climate forecasting to hydrologic forecasting and water resource management. In International Conference on Climate, Water and Policy (ICCWP) 2012: Exploring Climate Application Series I (ICCWP Handbook).
    2011 Laugesen, R., Tuteja, N. K., Shin, D., Chia, T., & Khan, U. (2011). Seasonal Streamflow Forecasting with a workflow-based dynamic hydrologic modelling approach. In F. Chan, D. Marinova, & R. S. Anderssen (Eds.), MODSIM 2011 - 19th International Congress on Modelling and Simulation - Sustaining Our Future: Understanding and Living with Uncertainty (pp. 2352-2358). Perth, AUSTRALIA: MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC.
    Scopus3 WoS2
    2002 Furst, J. E., Laugesen, R., Dastoor, P., & McNeill, C. (2002). Photoluminescence in conjugated polymers. In 15th Biennial Congress of the Australian Institute of Physics incorporating Australian Conference of Optical Fibre Technology (ACOFT) and Australian Optical Society (AOS) Handbook and abstracts (pp. 235).
  • Conference Items

    Year Citation
    2023 Thyer, M., McInerney, D., Kavetski, D., Laugesen, R., Woldemeskel, F., Tuteja, N., & Kuczera, G. (2023). Seamless subseasonal probabilistic streamflow forecasting: MuTHRE lets you have your cake and eat it too. Poster session presented at the meeting of Unknown Conference.
    DOI
    2022 Laugesen, R., Thyer, M., McInerney, D., & Kavetski, D. (2022). A flexible approach for evaluating the value of probabilistic forecasts for different decision types and risk averse decision-makers. Poster session presented at the meeting of Unknown Conference.
    DOI
  • Report for External Bodies

    Year Citation
    2013 Shin, D., Laugesen, R., Kabir, A., MacDonald, A., Kent, D., Le, B., & Tuteja, N. K. (2013). POAMA climate forecasts for seasonal streamflow forecasting.
    2011 Tuteja, N. K., Shin, D., Laugesen, R., Khan, U., Shao, Q., Wang, E., . . . Le, B. (2011). Experimental evaluation of the dynamic seasonal streamflow forecasting approach. Melbourne, Victoria: Commonwealth of Australia (Bureau of Meteorology).
  • Datasets

    Year Citation
    2022 Laugesen, R., Thyer, M., McInerney, D., & Kavetski, D. (2022). Supplementary material to "Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts".
    DOI
    - Laugesen, R. (n.d.). Mistake.
    DOI
    - Laugesen, R., Thyer, M., McInerney, D., & Kavetski, D. (n.d.). Supporting data for "Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts" by Laugesen et.al. (2022).
    DOI

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