STAHY 2018 Workshop 24-26 September 2018 Adelaide, South Australia
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II Advances in hydrological forecasting and data series analysis |
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Orals
/ Mon, 24 Sep, 13:50–15:40
/ Lecture Theater (Beachside 3)
/ Tue, 25 Sep, 09:00–12:30 / Lecture Theater (Beachside 3) |
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Monday, 24 September 2018 Lecture Theater (Beachside 3) |
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| 13:50–14:10 |
STAHY2018-12
An Entropy-based Method for Monthly Streamflow Forecasting Huijuan Cui and Vijay Singh |
| 14:10–14:30 |
Improving probabilistic streamflow predictions through residual error modelling by David McInerney
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| 14:30–14:50 |
STAHY2018-15
Rainfall network optimization based on information theory and temporal variability analysis Wenqi Wang, Dong Wang, Vijay P Singh, Yuankun Wang, Jichun Wu, Lachun Wang, Xinqing Zou, Jiufu Liu, Ying Zou, and Ruimin He |
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Coffee break
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| 15:10–15:40 |
STAHY2018-40
Improving precipitation extremes generated by a random cascade model - experiences from Queensland (solicited) Neil McIntyre, Christian Onof, and András Bárdossy |
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Tuesday, 25 September 2018 Lecture Theater (Beachside 3) |
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| 09:00–09:30 |
STAHY2018-41
On the generation of stochastic simulations of rainfall in space and time for hydrological applications (solicited) Alan Seed |
| 09:30–09:50 |
STAHY2018-19
Using Independent Component Analysis for spatial bias correction Fiona Johnson, Jannatun Nahar, and Ashish Sharma |
| 09:50–10:10 |
STAHY2018-24
Identifying land use trends in residuals of modelled streamflow: A case study in Santa Lucía basin, Uruguay Rafael Navas, Angela Gorgoglione, Jimena Alonso, and Willem Vervoort |
| 10:10–10:30 |
STAHY2018-26
Assessing the impact of systematic biases in detection of soil moisture change across Australia Ze Jiang, Ashish Sharma, and Fiona Johnson |
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Coffee break
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| 10:50–11:10 |
STAHY2018-28
A data-driven approach to understand spatio-temporal water quality variability from long-term records Danlu Guo, Anna Lintern, Angus Webb, Dongryeol Ryu, Shuci Liu, and Andrew Western |
| 11:10–11:30 |
STAHY2018-27
Approximation Bayesian computation for calibration of water quality models considering the impact of observation uncertainty Xia Wu, Lucy Marshall, and Ashish Sharma |
| 11:30–11:50 |
STAHY2018-32
A hybrid random forest model for prediction of daily surface water nutrient concentrations Benya Wang, Carolyn Oldham, and Matthew Hipsey |
| 11:50–12:10 |
STAHY2018-34
The Lasso as an exploratory tool in hydroclimatic forecasting: a case study of the Waitaki River catchment, New Zealand Varvara Vetrova and Earl Bardsley |
| 12:10–12:30 |
Presentation by Seth Westra
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