基本信息
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Career Trajectory
Bio
QJ worked briefly as a Postdoctoral Fellow with Professor James Dooge at University College Dublin, before returning to University College Galway to take up a Lecturer position. In 1994, QJ came to Australia and joined the University of Melbourne, where he worked as a Lecturer and later as a Senior Lecturer. In 1999, QJ took up a Principal Scientist position at the Victorian Department of Primary Industries, where he led irrigation research. In 2007, QJ joined CSIRO Land and Water as an Office of the Chief Executive Science Leader and Senior Principal Research Scientist. At CSIRO, he built his national and international reputation as a leader in water forecasting research and development. In February 2017, QJ took up the position of Professor of Hydrological Forecasting at the University of Melbourne.
Before joining CSIRO in 2007, QJ’s research interests included statistical hydrology, hydrological modelling and optimisation, irrigation, and regional planning. In CSIRO, QJ built from scratch a globally renowned water forecasting research team. Research by QJ and his team led to a national seasonal streamflow forecasting service operated by the Australian Bureau of Meteorology. The service now provides forecasts for over 300 locations, including major water storages and river systems across Australia. Forecasts issued at the start of each month give probabilities of volumes of streamflow in the next three months (http://www.bom.gov.au/water/ssf). Research by QJ and his team also led to a new national short-term streamflow forecasting service, which provides daily forecasts of streamflow for the next seven days (http://www.bom.gov.au/water/7daystreamflow).
QJ developed a number of cutting-edge mathematical models. Among international applications, the US National Oceanic and Atmospheric Administration is evaluating the Calibration Bridging and Merging (CBaM) method for operational seasonal climate forecasting for the US. QJ has published widely, including many recent journal papers on flood, short term and seasonal streamflow forecasting, and on weather and climate forecasting. See
QJ served on the Queensland Government Chief Scientist’s Science, Engineering and Technology Expert Panel following the devastating 2010-11 Queensland Floods. He was awarded the 2014 GN Alexander Medal by the Institution of Engineers, Australia, and the 2016 CSIRO Medal for Impact from Science. Dr Wang is a co-chair of HEPEX, the peak international community for research and practice of ensemble hydrological forecasting (http://www.hepex.org).
At the University of Melbourne, QJ continues his research effort on ensemble forecasting of floods, short-term and seasonal streamflow, and ensemble forecasting of weather, climate and drought. He is interested in analysis of climate and hydrological data, post-processing of forecasts from weather and climate models, catchment water balance and river routing modelling, hydrological model prediction updating and uncertainty quantification, and verification of ensemble forecasts.
QJ is keen to apply his mathematical skill to solving general engineering and science problems. He is particularly interested in formulating and applying Bayesian statistical models, especially hierarchical models, for solving complex practical problems. QJ is also collaborating with colleagues on use of climate and hydrological ensemble forecasts for managing flood and drought hazards and for managing water resources.
Before joining CSIRO in 2007, QJ’s research interests included statistical hydrology, hydrological modelling and optimisation, irrigation, and regional planning. In CSIRO, QJ built from scratch a globally renowned water forecasting research team. Research by QJ and his team led to a national seasonal streamflow forecasting service operated by the Australian Bureau of Meteorology. The service now provides forecasts for over 300 locations, including major water storages and river systems across Australia. Forecasts issued at the start of each month give probabilities of volumes of streamflow in the next three months (http://www.bom.gov.au/water/ssf). Research by QJ and his team also led to a new national short-term streamflow forecasting service, which provides daily forecasts of streamflow for the next seven days (http://www.bom.gov.au/water/7daystreamflow).
QJ developed a number of cutting-edge mathematical models. Among international applications, the US National Oceanic and Atmospheric Administration is evaluating the Calibration Bridging and Merging (CBaM) method for operational seasonal climate forecasting for the US. QJ has published widely, including many recent journal papers on flood, short term and seasonal streamflow forecasting, and on weather and climate forecasting. See
QJ served on the Queensland Government Chief Scientist’s Science, Engineering and Technology Expert Panel following the devastating 2010-11 Queensland Floods. He was awarded the 2014 GN Alexander Medal by the Institution of Engineers, Australia, and the 2016 CSIRO Medal for Impact from Science. Dr Wang is a co-chair of HEPEX, the peak international community for research and practice of ensemble hydrological forecasting (http://www.hepex.org).
At the University of Melbourne, QJ continues his research effort on ensemble forecasting of floods, short-term and seasonal streamflow, and ensemble forecasting of weather, climate and drought. He is interested in analysis of climate and hydrological data, post-processing of forecasts from weather and climate models, catchment water balance and river routing modelling, hydrological model prediction updating and uncertainty quantification, and verification of ensemble forecasts.
QJ is keen to apply his mathematical skill to solving general engineering and science problems. He is particularly interested in formulating and applying Bayesian statistical models, especially hierarchical models, for solving complex practical problems. QJ is also collaborating with colleagues on use of climate and hydrological ensemble forecasts for managing flood and drought hazards and for managing water resources.
Research Interests
Papers共 227 篇Author StatisticsCo-AuthorSimilar Experts
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Journal of Hydrology (2024): 131409
Jiaquan Wan,Youwei Qin, Yufang Shen,Tao Yang, Xu Yan, Shuo Zhang,Guang Yang,Fengchang Xue,Quan J. Wang
Journal of Hydrology (2024): 131625
crossref(2024)
WATER RESEARCH (2024): 121202-121202
Nature Waterno. 10 (2023): 835-843
Tristan D. J. Graham,Quan J. J. Wang,Yating Tang,Andrew Western,Wenyan Wu, Guy Ortlipp, Mark Bailey,Senlin Zhou,Kirsti Hakala,Qichun Yang
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENTno. 9 (2023)
JOURNAL OF HYDROMETEOROLOGYno. 9 (2023): 1509-1525
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