STAHY 2018 Workshop – 24-26 September 2018 – Adelaide, South Australia

Orals II

II

Advances in hydrological forecasting and data series analysis
Session details
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 Sep 2018
Lecture Theater (Beachside 3)
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

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
Coffee break
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

Tuesday, 25 Sep 2018
Lecture Theater (Beachside 3)
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
Coffee break
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