Mr Richard Laugesen
Higher Degree by Research Candidate
School of Civil Engineering and Construction
College of Engineering and Information Technology
| Year | Citation |
|---|---|
| 2026 | Laugesen, R., Thyer, M., McInerney, D., & Kavetski, D. (2026). Software library to quantify the value of forecasts for decision-making: Case study on sensitivity to damages. Environmental Modelling and Software, 196, 12 pages. |
| 2025 | Turner, S., Hannaford, J., Barker, L. J., Suman, G., Killeen, A., Armitage, R., . . . Whitfield, P. H. (2025). ROBIN: Reference observatory of basins for international hydrological climate change detection.. Scientific Data, 12(1), 654-1-654-13. Scopus2 WoS1 Europe PMC1 |
| 2025 | Turner, S., Hannaford, J., Barker, L. J., Suman, G., Killeen, A., Armitage, R., . . . Whitfield, P. H. (2025). Erratum: Author Correction: ROBIN: Reference observatory of basins for international hydrological climate change detection (Scientific data (2025) 12 1 DOI: 10.1038/s41597-025-04907-y.). Scientific Data, 12(1), 1716. |
| 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. |
| 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. Scopus5 WoS5 |
| 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. |
| 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. Scopus8 WoS8 |
| 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. Scopus17 WoS15 |
| 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. Scopus14 |
| 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. Scopus39 WoS37 |
| 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. Scopus115 WoS105 |
| 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. Scopus1 |
| Year | Citation |
|---|---|
| 2011 | O Toole, J. M., & Laugesen, R. (2011). Developing Specialist Language Styles: Research & Application. Boraga Academic / Five Mile Press. |
| Year | Citation |
|---|---|
| 2024 | Khan, U., Pegios, M., Laugesen, R., D'Andrea, J., Hughes-Miller, Z., Kazemi, H., . . . Cornish, A. (2024). Distributed Hydrological Modelling For Great Barrier Reef Catchments To Simulate Streamflows For Input Into Marine Models. In Hydrology and Water Resources Symposium Hwrs 2024 (pp. 558-562). |
| 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 Scopus1 |
| 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). Scopus2 |
| 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 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). |
| 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 Abstracts of the European Geosciences Union General Assembly (EGU 2023). Vienna, Austria & Online: Copernicus GmbH. 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 |
| 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). |
| 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. (2023). DOI |
| - | Laugesen, R., Thyer, M., McInerney, D., & Kavetski, D. (n.d.). Supporting data for "Software library to quantify the value of forecasts for decision-making: Case study on sensitivity to damages" by Laugesen et al. (2025). DOI |
| Year | Citation |
|---|---|
| - | Thyer, M., McInerney, D., Kavetski, D., Laugesen, R., & Tuteja, N. (n.d.). Do you want high quality subseasonal streamflow forecasts? Ask MuTHRE! vEGU 2021 Conference Presentation. DOI |
| Year | Citation |
|---|---|
| 2025 | Pickett-Heaps, C. A., Sunter, P., Sharples, W., Pegios, M., Wilson, C., Cornish, A., . . . Carrara, E. (2025). From gridded runoff to streamflow: application of statistical post-processing to generate seasonal streamflow forecasts. DOI |
| 2022 | McInerney, D., Thyer, M., Kavetski, D., Laugesen, R., Woldemeskel, F., Tuteja, N., & Kuczera, G. (2022). Seamless streamflow model provides forecasts at all scales from daily to monthly and matches the performance of non-seamless monthly model. DOI |
Connect With Me
External Profiles
