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Richard Laugesen
Richard Laugesen
Senior hydrological scientist, Australian Bureau of Meteorology and University of Adelaide
Verified email at bom.gov.au
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Cited by
Cited by
Year
How streamflow has changed across Australia since the 1950s: evidence from the network of hydrologic reference stations
XS Zhang, GE Amirthanathan, MA Bari, RM Laugesen, D Shin, DM Kent, ...
Hydrology and Earth System Sciences 20 (9), 3947-3965, 2016
812016
Experimental evaluation of the dynamic seasonal streamflow forecasting approach
NK Tuteja, D Shin, R Laugesen, U Khan, Q Shao, E Wang, M Li, H Zheng, ...
Commonwealth of Australia (Bureau of Meteorology), 2011
262011
Multi-temporal Hydrological Residual Error Modelling for Seamless Subseasonal Streamflow Forecasting
D McInerney, M Thyer, D Kavetski, R Laugesen, N Tuteja, G Kuczera
Hydrology and Water Resource Symposium HWRS2021, 2021
112021
Development of catchment water quality models within a realtime status and forecast system for the Great Barrier Reef
U Khan, FJ Cook, R Laugesen, MM Hasan, K Plastow, GE Amirthanathan, ...
Environmental Modelling & Software 132, 104790, 2020
72020
Seasonal Streamflow Forecasting with a workflow-based dynamic hydrologic modelling approach
R Laugesen, NK Tuteja, D Shin, T Chia, U Khan
Paper accepted for oral presentation at Modelling and Simulation Society of …, 2011
72011
Developing Specialist Language Styles: Research & Application
M O'Toole, R Laugesen
Boraga Academic, 2011
72011
Evaluation of multi-model rainfall forecasts for the national 7-day ensemble streamflow forecasting service
A Kabir, M Hasan, P Hapuarachchi, XS Zhang, J Liyanage, N Gamage, ...
HWRS 2018, 3-8, 2018
42018
Dynamic streamflow forecasts within an uncertainty framework for 100 catchments in Australia
J Lerat, CA Pickett-Heaps, D Shin, S Zhou, P Feikema, U Khan, ...
36th Hydrology and Water Resources Symposium: The art and science of water …, 2015
42015
Seamless streamflow model provides forecasts at all scales from daily to monthly and matches the performance of non-seamless monthly model
D McInerney, M Thyer, D Kavetski, R Laugesen, F Woldemeskel, N Tuteja, ...
Hydrology and Earth System Sciences Discussions, 1-22, 2022
22022
Concepts, philosophy and methods for development of a general linear statistical model for river water quality
FJ Cook, U Khan, R Laugesen, G Amirthanathan, NK Tuteja, MA Bari
22nd International Congress on Modelling and Simulation, Hobart, Tasmania …, 2017
22017
Yagi-uda antenna
R Laugesen
Phys327-Electromagnetic Applications, Access on November, 2011
22011
Improving the Reliability of Sub‐Seasonal Forecasts of High and Low Flows by Using a Flow‐Dependent Nonparametric Model
D McInerney, M Thyer, D Kavetski, R Laugesen, F Woldemeskel, N Tuteja, ...
Water Resources Research 57 (11), e2020WR029317, 2021
12021
Short-range streamflow forecasts for the Great Barrier Reef using semi-distributed and distributed hydrological models
U Khan, SC Wells, P Hapuarachchi, SJ Cole, GE Amirthanathan, ...
Hydrology and Water Resources Symposium 2018, 2018
12018
Development of an operational system for the 7-day streamflow forecast service in Australia
P Hapuarachchi, A Kabir, S Zhang, N Tuteja, D Enever, D Kent, M Bari, ...
Proceedings of OZWater conference, 10-12, 2016
12016
Operational modelling system development for short-term and seasonal streamflow forecasting services
D Shin, A MacDonald, D Kent, P Hapuarachchi, K Plastow, R Laugesen, ...
36th Hydrology and Water Resources Symposium HWRS, 2015
12015
A flexible approach for evaluating the value of probabilistic forecasts for different decision types and risk averse decision-makers
R Laugesen, M Thyer, D McInerney, D Kavetski
EGU22, 2022
2022
Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts
R Laugesen, M Thyer, D McInerney, D Kavetski
Hydrology and Earth System Sciences Discussions, 1-35, 2022
2022
Improving sub-seasonal forecasts of high and low flows using a flow-dependent nonparametric model
D Kavetski, D McInerney, R Laugesen, M Thyer
EGU General Assembly 2022, 2022
2022
Do you want Seamless Subseasonal Streamflow Forecasts? Ask MuTHRE!
M Thyer, D McInerney, D Kavetski, R Laugesen, N Tuteja, G Kuczera
EGU General Assembly Conference Abstracts, EGU21-3714, 2021
2021
Advances in subseasonal streamflow forecasting: An overview
M Thyer, D McInerney, D Kavetski, R Laugesen, F Woldemeskel, N Tuteja, ...
24th International Congress on Modelling and Simulation, 2021
2021
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