Senior modeller and project manager at Bureau of Meteorology, and PhD candidate at the University of Adelaide researching the value of forecasts for water-sensitive decisions.

Email is the best way to contact me, richard@laugesen.com.au. You can also connect with me on twitter or linkedin.

Research publications

I’m interested in water security, particularly how forecasts can improve decisions (ORCiD, Google Scholar).

Books

O’Toole J. M., and R. Laugesen (2011), Developing specialist language styles: Research and Application, Boraga Academic, ISBN:978-1-74130-9515

Journal publications (8)

Laugesen, R., Thyer, M., McInerney, D., and Kavetski, D.: Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2022-65, in review, 2022.

McInerney, D., Thyer, M., Kavetski, D., Laugesen, R., Woldemeskel, F., Tuteja, N., and Kuczera, G.: Seamless streamflow model provides forecasts at all scales from daily to monthly and matches the performance of non-seamless monthly model, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2021-589, in review, 2022.

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, e2020WR029317. https://doi.org/10.1029/2020WR029317

D. McInerney, M. Thyer, D. Kavetski, R. Laugesen, N. K. Tuteja, G. Kuczera (2020), Multi‐temporal Hydrological Residual Error Modeling for Seamless Subseasonal Streamflow Forecasting, Water Resource Research, 56, 11, https://doi.org/10.1029/2019WR026979

U. Khan, F.J. Cook, R. Laugesen, M. M. Hasan, K. Plastow, G. Amirthanathan, M. Bari and N. K. Tuteja (2020), Development of catchment water quality models within a realtime status and forecast system for the Great Barrier Reef, Journal of Environmental Modelling and Software, 132, 104790, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2020.104790

S Zangmo, R Laugesen, JM O’Toole, and K Gyeltshen (2018), Cloze as a measure of specialist language difficulties: Write-in or multiple choice?, Bhutan Journal of Research and Development, Volume 7-12, 1321-4585

Zhang, X. S., Amirthanathan, G. E., Bari, M. A., Laugesen, R. M., Shin, D., Kent, D. M., MacDonald, A. M., Turner, M. E., and Tuteja, N. K.: How streamflow has changed across Australia since the 1950s: evidence from the network of hydrologic reference stations, Hydrol. Earth Syst. Sci., 20, 3947–3965, https://doi.org/10.5194/hess-20-3947-2016, 2016.

O’Toole, J.M., S. Zangmo, and R. Laugesen (2016), Convenient and equivalent? Multiple choice and gap-filling cloze tests, Language Testing, Bhutan Journal of Research and Development, 1321-4585

Conferences publications (32)

Laugesen, R., Thyer, M., McInerney, D., and Kavetski, D. (2022): A flexible approach for evaluating the value of probabilistic forecasts for different decision types and risk averse decision-makers, EGU General Assembly 2022, 23-27 May 2022, Vienna, Austria

Kavetski, D., McInerney, D., Laugesen, R., Thyer, M., (2022): Improving sub-seasonal forecasts of high and low flows using a flow-dependent nonparametric model, EGU General Assembly 2022, 23-27 May 2022, Vienna, Austria

Kavetski, D., McInerney, D., Thyer, M, Laugesen, R., Tuteja, N., & Kuczera, G. (2021): Seamless probabilistic streamflow forecasts from daily to monthly scales, International Association of Hydrological Sciences, Statistical Hydrology conference 2021 (STAHY2021), 16-17 September 2021, Valencia, Spain

McInerney, D., Thyer, M., Kavetski, D., Laugesen, R., Woldemeskel, F., Tuteja, N., & Kuczera, G. (2021): A flow-dependent non-parametric residual error model for improving sub-seasonal forecasts of high and low flows Number, International Association of Hydrological Sciences, Statistical Hydrology conference 2021 (STAHY2021), 16-17 September 2021, Valencia, Spain

McInerney, D., Thyer, M., Kavetski, D., Laugesen, R., Woldemeskel, F., Tuteja, N., & Kuczera, G. (2021), Improving sub-seasonal streamflow forecasts across flow regimes, 24th International Congress on Modelling and Simulation, [invited paper], December 2021. ISBN: 978-0-9872143-8-6. https://doi.org/10.36334/modsim.2021.K5.mcinerney

Thyer, M., McInerney, D., Kavetski, D., Laugesen, R., Woldemeskel, F., Tuteja, N. and Kuczera, G. (2021), Advances in subseasonal streamflow forecasting: An overview, 24th International Congress on Modelling and Simulation, December 2021. ISBN: 978-0-9872143-8-6. https://doi.org/10.36334/modsim.2021.K5.thyer

Thyer, M., McInerney, D., Kavetski, D., Laugesen, R., Tuteja, N., and Kuczera, G.: Do you want Seamless Subseasonal Streamflow Forecasts? Ask MuTHRE!, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-3714, https://doi.org/10.5194/egusphere-egu21-3714, 2021.

McInerney, Thyer, M., D., Kavetski, D., Laugesen, R., Tuteja, N., and Kuczera, G.: Multi-temporal Hydrological Residual Error Modelling for Seamless Subseasonal Streamflow Forecasting, Hydrology and Water Resource Symposium HWRS2021, 31 Aug-1 Sep 2021, Virtual, ISBN: 978-1-925627-53-4

M. Tuteja, U. Khan, G. E. Amirthanathan, M. A. Bari, G Kociuba, R. Laugesen, N. K. Tuteja (2019), Australian coastal catchment river discharge dataset for marine reanalysis modelling and forecasting application, 23rd International Congress on Modelling and Simulation, Canberra, Australia, 1 to 6 December 2019

U. Khan, S. C. Wells, H.A.P. Hapuarachchi, S. J. Cole, M. Hasan, R. Laugesen, R. J. Moore, M. Bari, N. K. Tuteja (2019), Streamflow simulations for gauged and ungauged catchments of the Great Barrier Reef region using a distributed hydrological model, 23rd International Congress on Modelling and Simulation, Canberra, Australia, 1 to 6 December 2019

A. Kabir, M. Hasan, H.A.P. Hapuarachchi, X.S. Zhang, J. Liyanage, N. Gammage, R. Laugesen, K. Plastow, A. MacDonald, M.A. Bari and N.K. Tuteja (2018), Evaluation of multi-model rainfall forecasts for the national 7-day ensemble streamflow forecasting service, Hydrology and Water Resource Symposium HWRS2018, 3-8 December 2018, Melbourne

U. Khan, S. C. Wells, P. Hapuarachchi, S. J. Cole, G. Amirthanathan, R. Laugesen, M. M. Hasan, N. Gamage, A. MacDonald, R. J. Moore, M. Bari and N. K. Tuteja (2018), Forecasting freshwater discharges to the Great Barrier Reef using semi-distributed and distributed hydrological models, Hydrology and Water Resource Symposium HWRS2018, 3-8 December 2018, Melbourne

R. Laugesen, U. Khan, G. Amirthananthan, F. Cook, M. Hasan, P. Hapuarachchi, K. Plastow, D. Kent, M. Bari, N. K. Tuteja (2017), Forecasts of streamflow and water quality for catchments contributing to the Great Barrier Reef, 6th Queensland Coastal Conference 2017, 5-6 September 2017

R M Laugesen, N K Tuteja, G E Amirthanathan, D M Kent, M M Hasan, U Khan and M A Bari (2017), Forecasts and simulations of river water quantity and quality caused by Tropical Cyclone Debbie over Fitzroy River Basin, 22nd International Congress on Modelling and Simulation, Hobart, Tasmania, Australia, 3 to 8 December 2017

F. J. Cook, U. Khan, R. Laugesen, G. Amirthanathan, N. K. Tuteja, and M.A. Bari (2017), Concepts, Philosophy and Methods for Development of a General Linear Statistical model for River Water Quality, 22nd International Congress on Modelling and Simulation, Hobart, Tasmania, Australia, 3 to 8 December 2017

Brassington G., N. K. Tuteja, G. Stuart, J. Treleaven, F. Colberg, P. Sandery, P. Sakov, R. Laugesen, R. Brinkman, H. Tonin, and M. Bari (2017), eReefs: an integrated catchment and coastal forecasting system for the Great Barrier Reef and Queensland coast, 23rd Australasian Coastal and Ocean Engineering Conference

Hapuarachchi P., A. Kabir, S. Zhang, N. K. Tuteja, D. Enever, D. Kent, M. Bari, D. Shin, R. Laugesen, G. Amirthanathan (2016), Development of an operational system for the 7-day streamflow forecast service in Australia, OzWater’ 16 Conference Proceedings, Australian Water Association

Zangmo, S., R. Laugesen, and J. M. O’Toole (2016), Cloze as a measure of specialist language difficulties: Write-in or multiple choice? Spring Research Convention, Samste College of Education, Royal University of Bhutan, Samste, Bhutan May 26-27, Research Abstracts p. 23

Lerat J., A. Schepen, R. Laugesen, U. Khan, C. Pickett-Heaps, D. Shin, and Q. J. Wang (2015), Value of ensemble merging for seasonal streamflow forecasts, International Congress on Modelling and Simulation, http://doi.org/102.100.100/91305

Shin D., A. MacDonald, D. Kent, P. Hapuarachchi, K. Plastow, R. Laugesen, C. Pickett-Heaps, J. Lerat, A. Kabir, N. K. Tuteja (2015), Operational modelling system development for short-term and seasonal streamflow forecasting services, 36th Hydrology and Water Resources Symposium

Lerat J., C. A. Pickett-Heaps, D. Shin, S. Zhou, P. Feikema, U. Khan, R. Laugesen, N. K. Tuteja, G. Kuczera, M. Thyer, and D. Kavetski (2015), Dynamic streamflow forecasts within an uncertainty framework for 100 catchments in Australia, 36th Hydrology and Water Resources Symposium

Lerat, J., Tuteja, N., Shin, D., Laugesen, R., MacDonald, A., Khan, U., Kent, D. and Pickett-Heaps, C. (2014), Driving a Hydrological Model with Downscaled Climate Forecasts for Seasonal Sreamflow Forecasting, International River Symposium

Shin, D., R. Laugesen, A. Kabir, A. MacDonald, D. Kent, B. Le, and N. K. Tuteja (2013), POAMA climate forecasts for seasonal streamflow forecasting, Observing, Seventh CAWCR Workshop: Estimating and Forecasting Rainfall: From Science to Applications. http://www.bom.gov.au/research/publications/cawcrreports/CTR_066.pdf

Shin, D., N. K. Tuteja, S. Zhou, A. Schepen, J. Perkins, A. Kabir, D. Kent, R. Laugesen, B. Le, T. Wilson, C. Hawksworth, A. MacDonald, D. Jayasuriya and P. M. Feikema (2013), Seasonal Hydrologic Forecasting for Water Resources Management. AGU Chapman Conference

Wethasinghe, C., N. K. Tuteja, and R. Laugesen (2013), Dynamic Seasonal Streamflow Forecasting Approach - Evaluation of Rainfall Runoff Model Performances, International Congress on Modelling and Simulation

Shin, D., R. Laugesen, A. Kabir, N. K. Tuteja, A. MacDonald, D. Kent, and B. Le (2013), Rainfall-runoff modelling with downscaled rainfall forecasts for a seasonal streamflow forecast service, International Congress on Modelling and Simulation

Kabir, A., R. Laugesen, D. Shin, N. K. Tuteja, A. MacDonald, D. Kent, and B. Le (2013), Improving operational seasonal streamflow forecasts using the dynamic modelling approach, Asia Oceania Geosciences Society

MacDonald A., D. Kent, R. Laugesen, A. Kabir, N. K. Tuteja, A. Schepen, T. Wilson, B. Le, and D. Shin (2013), WAFARi 2.0: Upgrade of an operational modelling system for the seasonal streamflow forecasting service of the Bureau of Meteorology, International Congress on Modelling and Simulation

Tuteja, N. K., Q. J. Wang, G. Kuczera, D. Shin, and R. Laugesen (2012), Application of seasonal climate forecasting to hydrologic forecasting and water resource management, International Conference on Climate, Water and Policy (Korea), http://doi.org/102.100.100/99547

Tuteja, N. K., D. Shin, R. Laugesen, Q. Shao, E. Wang, G. K. Kuczera, M. Thyer, D. Kavetski, G. Evin, M. Li, H. Zheng, A. MacDonald, U. Khan, B. Le, and T. Chia (2011), Experimental Evaluation of the Dynamic Seasonal Streamflow Forecasting Approach in Australian Water Supply Catchments, Australian Water Association

Laugesen, R., N. K. Tuteja, D. Shin, T. Chia, and U. Khan (2011), Seasonal Streamflow Forecasting with a Workflow-based Dynamic Hydrologic Modelling Approach, International Congress on Modelling and Simulation

Furst, J. E., R. Laugesen, P. Dastoor, and C. McNeil (2002), Photoluminescence in conjugated polymers, 15th Biennial Congress of the Australian Institute of Physics

Technical reports

Tuteja, N. K., D. Shin, R. Laugesen, U. Khan, Q. Shao, E. Wang, M. Li, H. Zheng, G. K. Kuczera, D. Kavetski, G. Evin, M. Thyer, A. MacDonald, B. Le, and T. Chia (2011), Experimental Evaluation of the Dynamic Seasonal Streamflow Forecasting Approach, Bureau of Meteorology, http://doi.org/102.100.100/104889

Numerous internal reports and business proposals.