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You searched for +publisher:"University of New South Wales" +contributor:("Sharma, Ashish, Civil & Environmental Engineering, Faculty of Engineering, UNSW"). Showing records 1 – 23 of 23 total matches.

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University of New South Wales

1. Khan, Urooj. A New Framework for Process Based Computationally Efficient Semi-distributed Hydrological Modelling.

Degree: Civil & Environmental Engineering, 2014, University of New South Wales

 While physically based distributed hydrological models are widely used to simulate spatially distributed hydrological fluxes, the computational time/effort associated with their use restrict their application… (more)

Subjects/Keywords: Distributed hydrological modelling; Hydrologic Response Units (HRUs); Equivalent cross-sections (ECSs); Computationally efficient; Landforms; Soil moisture modelling

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APA (6th Edition):

Khan, U. (2014). A New Framework for Process Based Computationally Efficient Semi-distributed Hydrological Modelling. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53581 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12276/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Khan, Urooj. “A New Framework for Process Based Computationally Efficient Semi-distributed Hydrological Modelling.” 2014. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/53581 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12276/SOURCE02?view=true.

MLA Handbook (7th Edition):

Khan, Urooj. “A New Framework for Process Based Computationally Efficient Semi-distributed Hydrological Modelling.” 2014. Web. 26 Sep 2020.

Vancouver:

Khan U. A New Framework for Process Based Computationally Efficient Semi-distributed Hydrological Modelling. [Internet] [Doctoral dissertation]. University of New South Wales; 2014. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/53581 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12276/SOURCE02?view=true.

Council of Science Editors:

Khan U. A New Framework for Process Based Computationally Efficient Semi-distributed Hydrological Modelling. [Doctoral Dissertation]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/53581 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12276/SOURCE02?view=true


University of New South Wales

2. Jeremiah, Erwin. A Bayesian Framework for Reducing Structural and Parameter Uncertainty in Hydrological Modelling.

Degree: Civil & Environmental Engineering, 2012, University of New South Wales

 Understanding the uncertainties associated with streamflow prediction in hydrological modelling has gained much interest over the past years, mainly because these uncertainties remain ambiguous and… (more)

Subjects/Keywords: Catchment predictors; Hydrological models; Bayesian inference; Hierarchical Mixture of Experts; Modelling uncertainty

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APA (6th Edition):

Jeremiah, E. (2012). A Bayesian Framework for Reducing Structural and Parameter Uncertainty in Hydrological Modelling. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52516 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11189/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Jeremiah, Erwin. “A Bayesian Framework for Reducing Structural and Parameter Uncertainty in Hydrological Modelling.” 2012. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/52516 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11189/SOURCE01?view=true.

MLA Handbook (7th Edition):

Jeremiah, Erwin. “A Bayesian Framework for Reducing Structural and Parameter Uncertainty in Hydrological Modelling.” 2012. Web. 26 Sep 2020.

Vancouver:

Jeremiah E. A Bayesian Framework for Reducing Structural and Parameter Uncertainty in Hydrological Modelling. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/52516 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11189/SOURCE01?view=true.

Council of Science Editors:

Jeremiah E. A Bayesian Framework for Reducing Structural and Parameter Uncertainty in Hydrological Modelling. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/52516 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11189/SOURCE01?view=true


University of New South Wales

3. Johnson, Fiona. Evaluating and enhancing general circulation model simulations for water resources climate change impact assessments.

Degree: Civil & Environmental Engineering, 2010, University of New South Wales

 Human induced climate change will, in many parts of the world, create additional pressure on water supply systems. It is therefore vital for water resources… (more)

Subjects/Keywords: Drought; Climate change; Rainfall; Interannual variability; GCM

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APA (6th Edition):

Johnson, F. (2010). Evaluating and enhancing general circulation model simulations for water resources climate change impact assessments. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/45535 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8830/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Johnson, Fiona. “Evaluating and enhancing general circulation model simulations for water resources climate change impact assessments.” 2010. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/45535 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8830/SOURCE02?view=true.

MLA Handbook (7th Edition):

Johnson, Fiona. “Evaluating and enhancing general circulation model simulations for water resources climate change impact assessments.” 2010. Web. 26 Sep 2020.

Vancouver:

Johnson F. Evaluating and enhancing general circulation model simulations for water resources climate change impact assessments. [Internet] [Doctoral dissertation]. University of New South Wales; 2010. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/45535 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8830/SOURCE02?view=true.

Council of Science Editors:

Johnson F. Evaluating and enhancing general circulation model simulations for water resources climate change impact assessments. [Doctoral Dissertation]. University of New South Wales; 2010. Available from: http://handle.unsw.edu.au/1959.4/45535 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8830/SOURCE02?view=true


University of New South Wales

4. Naseem, Bushra. Ecohydrological modeling for streamflow prediction.

Degree: Civil & Environmental Engineering, 2017, University of New South Wales

 Ecohydrology describes the hydrological processes that are caused by ecological patterns and processes. In the present research, ecology represented by dynamic vegetation processes is taken… (more)

Subjects/Keywords: Leaf area index; Ecohydrology; streamflow prediction

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APA (6th Edition):

Naseem, B. (2017). Ecohydrological modeling for streamflow prediction. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/57359 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43323/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Naseem, Bushra. “Ecohydrological modeling for streamflow prediction.” 2017. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/57359 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43323/SOURCE02?view=true.

MLA Handbook (7th Edition):

Naseem, Bushra. “Ecohydrological modeling for streamflow prediction.” 2017. Web. 26 Sep 2020.

Vancouver:

Naseem B. Ecohydrological modeling for streamflow prediction. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/57359 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43323/SOURCE02?view=true.

Council of Science Editors:

Naseem B. Ecohydrological modeling for streamflow prediction. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/57359 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43323/SOURCE02?view=true


University of New South Wales

5. Woldemeskel, Fitsum. A framework for quantifying and incorporating climate data uncertainty into water resources assessment.

Degree: Civil & Environmental Engineering, 2014, University of New South Wales

 Rainfall and temperature (the main driver of evaporation) are key inputs for hydrologic models in studying catchment responses to climate scenarios. Both rainfall and temperature,… (more)

Subjects/Keywords: Drought; Uncertainty; Climate change; Water resources; Merging; Precipitation

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APA (6th Edition):

Woldemeskel, F. (2014). A framework for quantifying and incorporating climate data uncertainty into water resources assessment. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53594 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12289/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Woldemeskel, Fitsum. “A framework for quantifying and incorporating climate data uncertainty into water resources assessment.” 2014. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/53594 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12289/SOURCE02?view=true.

MLA Handbook (7th Edition):

Woldemeskel, Fitsum. “A framework for quantifying and incorporating climate data uncertainty into water resources assessment.” 2014. Web. 26 Sep 2020.

Vancouver:

Woldemeskel F. A framework for quantifying and incorporating climate data uncertainty into water resources assessment. [Internet] [Doctoral dissertation]. University of New South Wales; 2014. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/53594 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12289/SOURCE02?view=true.

Council of Science Editors:

Woldemeskel F. A framework for quantifying and incorporating climate data uncertainty into water resources assessment. [Doctoral Dissertation]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/53594 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12289/SOURCE02?view=true


University of New South Wales

6. Pui, Alexander. Continuous rainfall simulation for design flood estimation in Australia.

Degree: Civil & Environmental Engineering, 2011, University of New South Wales

 The temporal and spatial variability of Australia’s climate has a profound impact on water resource management across broad disciplines, ranging from agricultural practice to flood… (more)

Subjects/Keywords: Australia; Rainfall; Flood design; Modelling; Risk

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APA (6th Edition):

Pui, A. (2011). Continuous rainfall simulation for design flood estimation in Australia. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/51605 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10272/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Pui, Alexander. “Continuous rainfall simulation for design flood estimation in Australia.” 2011. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/51605 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10272/SOURCE02?view=true.

MLA Handbook (7th Edition):

Pui, Alexander. “Continuous rainfall simulation for design flood estimation in Australia.” 2011. Web. 26 Sep 2020.

Vancouver:

Pui A. Continuous rainfall simulation for design flood estimation in Australia. [Internet] [Doctoral dissertation]. University of New South Wales; 2011. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/51605 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10272/SOURCE02?view=true.

Council of Science Editors:

Pui A. Continuous rainfall simulation for design flood estimation in Australia. [Doctoral Dissertation]. University of New South Wales; 2011. Available from: http://handle.unsw.edu.au/1959.4/51605 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10272/SOURCE02?view=true


University of New South Wales

7. Wu, Xia. Incorporating observation uncertainty in environmental modelling.

Degree: Civil & Environmental Engineering, 2020, University of New South Wales

 Despite improvements in data collection and observing technologies, observation error in environmental data is still considerable and its precise quantification is important for improved environmental(more)

Subjects/Keywords: Residual error model; Uncertainty quantification; Model calibration; Hydrologic modelling

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APA (6th Edition):

Wu, X. (2020). Incorporating observation uncertainty in environmental modelling. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/70128

Chicago Manual of Style (16th Edition):

Wu, Xia. “Incorporating observation uncertainty in environmental modelling.” 2020. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/70128.

MLA Handbook (7th Edition):

Wu, Xia. “Incorporating observation uncertainty in environmental modelling.” 2020. Web. 26 Sep 2020.

Vancouver:

Wu X. Incorporating observation uncertainty in environmental modelling. [Internet] [Doctoral dissertation]. University of New South Wales; 2020. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/70128.

Council of Science Editors:

Wu X. Incorporating observation uncertainty in environmental modelling. [Doctoral Dissertation]. University of New South Wales; 2020. Available from: http://handle.unsw.edu.au/1959.4/70128


University of New South Wales

8. Pathiraja, Sahani. Improving Data Assimilation Algorithms for Enhanced Environmental Predictions.

Degree: Civil & Environmental Engineering, 2018, University of New South Wales

 Data Assimilation (DA) methods provide a means of combining model output with observations based on their respective uncertainties. They are considered an invaluable tool in… (more)

Subjects/Keywords: Uncertainty quantification; Data assimilation; Forecasting; Hydrology; Meteorology

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APA (6th Edition):

Pathiraja, S. (2018). Improving Data Assimilation Algorithms for Enhanced Environmental Predictions. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/59579 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49002/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Pathiraja, Sahani. “Improving Data Assimilation Algorithms for Enhanced Environmental Predictions.” 2018. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/59579 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49002/SOURCE02?view=true.

MLA Handbook (7th Edition):

Pathiraja, Sahani. “Improving Data Assimilation Algorithms for Enhanced Environmental Predictions.” 2018. Web. 26 Sep 2020.

Vancouver:

Pathiraja S. Improving Data Assimilation Algorithms for Enhanced Environmental Predictions. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/59579 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49002/SOURCE02?view=true.

Council of Science Editors:

Pathiraja S. Improving Data Assimilation Algorithms for Enhanced Environmental Predictions. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/59579 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49002/SOURCE02?view=true


University of New South Wales

9. Abu Shoaib, Syed. The relative importance and characteristics of uncertainty in hydrology.

Degree: Civil & Environmental Engineering, 2018, University of New South Wales

 Quantifying uncertainty in hydrologic models is essential for their effective use and assessment. This thesis presents methods that can be used to estimate and evaluate… (more)

Subjects/Keywords: Hydrolgy; Uncertainty; Model structures; Input

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APA (6th Edition):

Abu Shoaib, S. (2018). The relative importance and characteristics of uncertainty in hydrology. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/59637

Chicago Manual of Style (16th Edition):

Abu Shoaib, Syed. “The relative importance and characteristics of uncertainty in hydrology.” 2018. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/59637.

MLA Handbook (7th Edition):

Abu Shoaib, Syed. “The relative importance and characteristics of uncertainty in hydrology.” 2018. Web. 26 Sep 2020.

Vancouver:

Abu Shoaib S. The relative importance and characteristics of uncertainty in hydrology. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/59637.

Council of Science Editors:

Abu Shoaib S. The relative importance and characteristics of uncertainty in hydrology. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/59637


University of New South Wales

10. Nguyen, Thi Thu Ha. A framework for correcting biases in climate model simulations in the frequency domain: Implications for hydrology.

Degree: Civil & Environmental Engineering, 2018, University of New South Wales

 Growing human population, urban expansion and increased standard of living coupled with climate change always, has placed pressure on available natural resources worldwide. For a… (more)

Subjects/Keywords: Low-frequency variability; Bias correction; Frequency domain bias correction; Hydrologic reference stations; Hydrological climate change impact assessments

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APA (6th Edition):

Nguyen, T. T. H. (2018). A framework for correcting biases in climate model simulations in the frequency domain: Implications for hydrology. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/60397

Chicago Manual of Style (16th Edition):

Nguyen, Thi Thu Ha. “A framework for correcting biases in climate model simulations in the frequency domain: Implications for hydrology.” 2018. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/60397.

MLA Handbook (7th Edition):

Nguyen, Thi Thu Ha. “A framework for correcting biases in climate model simulations in the frequency domain: Implications for hydrology.” 2018. Web. 26 Sep 2020.

Vancouver:

Nguyen TTH. A framework for correcting biases in climate model simulations in the frequency domain: Implications for hydrology. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/60397.

Council of Science Editors:

Nguyen TTH. A framework for correcting biases in climate model simulations in the frequency domain: Implications for hydrology. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/60397


University of New South Wales

11. Kang, Tae Ho. The cognitive classification of model deficiency in hydrology.

Degree: Civil & Environmental Engineering, 2018, University of New South Wales

 Predicting and understanding a hydrologic system requires modelling. The modelling can result in minimising casualties and socio-economic damages from catastrophic disasters such as typhoon, flooding,… (more)

Subjects/Keywords: Uncertainty; Hydrology; Model deficiency

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APA (6th Edition):

Kang, T. H. (2018). The cognitive classification of model deficiency in hydrology. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/60438

Chicago Manual of Style (16th Edition):

Kang, Tae Ho. “The cognitive classification of model deficiency in hydrology.” 2018. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/60438.

MLA Handbook (7th Edition):

Kang, Tae Ho. “The cognitive classification of model deficiency in hydrology.” 2018. Web. 26 Sep 2020.

Vancouver:

Kang TH. The cognitive classification of model deficiency in hydrology. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/60438.

Council of Science Editors:

Kang TH. The cognitive classification of model deficiency in hydrology. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/60438


University of New South Wales

12. Asadi Zarch, Mohammad Amin. Aridity and Drought in a Non-stationary Climate.

Degree: Civil & Environmental Engineering, 2015, University of New South Wales

 Both drought and aridity indicate an imbalance in water availability. While drought is a natural temporal hazard, aridity is a constant climatic feature. The purpose… (more)

Subjects/Keywords: Climate change; Aridity; Drought; Global warming

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APA (6th Edition):

Asadi Zarch, M. A. (2015). Aridity and Drought in a Non-stationary Climate. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/55312 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:37104/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Asadi Zarch, Mohammad Amin. “Aridity and Drought in a Non-stationary Climate.” 2015. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/55312 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:37104/SOURCE02?view=true.

MLA Handbook (7th Edition):

Asadi Zarch, Mohammad Amin. “Aridity and Drought in a Non-stationary Climate.” 2015. Web. 26 Sep 2020.

Vancouver:

Asadi Zarch MA. Aridity and Drought in a Non-stationary Climate. [Internet] [Doctoral dissertation]. University of New South Wales; 2015. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/55312 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:37104/SOURCE02?view=true.

Council of Science Editors:

Asadi Zarch MA. Aridity and Drought in a Non-stationary Climate. [Doctoral Dissertation]. University of New South Wales; 2015. Available from: http://handle.unsw.edu.au/1959.4/55312 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:37104/SOURCE02?view=true


University of New South Wales

13. Wasko, Conrad. Continuous rainfall simulation in a warmer climate.

Degree: Civil & Environmental Engineering, 2016, University of New South Wales

 Continuous sub-daily precipitation sequences are required for many hydrological applications. Unfortunately sub-daily precipitation data is often unavailable due to the paucity of measurements. To overcome… (more)

Subjects/Keywords: Climate change; Precipitation; Temperature; Rainfall simulation

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APA (6th Edition):

Wasko, C. (2016). Continuous rainfall simulation in a warmer climate. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/56432 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40707/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Wasko, Conrad. “Continuous rainfall simulation in a warmer climate.” 2016. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/56432 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40707/SOURCE02?view=true.

MLA Handbook (7th Edition):

Wasko, Conrad. “Continuous rainfall simulation in a warmer climate.” 2016. Web. 26 Sep 2020.

Vancouver:

Wasko C. Continuous rainfall simulation in a warmer climate. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/56432 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40707/SOURCE02?view=true.

Council of Science Editors:

Wasko C. Continuous rainfall simulation in a warmer climate. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/56432 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40707/SOURCE02?view=true


University of New South Wales

14. Rocheta, Eytan. On Low-Frequency Rainfall Variability Bias in Climate Model Simulations.

Degree: Civil & Environmental Engineering, 2016, University of New South Wales

 Water resource managers need to assess changes in low-frequency rainfall variability for future climates which can only be obtained through climate model simulations. These models… (more)

Subjects/Keywords: Low-Frequency Variability; Climate Change; Rainfall; Climate Model; Bias Correction

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APA (6th Edition):

Rocheta, E. (2016). On Low-Frequency Rainfall Variability Bias in Climate Model Simulations. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/57129 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42646/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Rocheta, Eytan. “On Low-Frequency Rainfall Variability Bias in Climate Model Simulations.” 2016. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/57129 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42646/SOURCE02?view=true.

MLA Handbook (7th Edition):

Rocheta, Eytan. “On Low-Frequency Rainfall Variability Bias in Climate Model Simulations.” 2016. Web. 26 Sep 2020.

Vancouver:

Rocheta E. On Low-Frequency Rainfall Variability Bias in Climate Model Simulations. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/57129 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42646/SOURCE02?view=true.

Council of Science Editors:

Rocheta E. On Low-Frequency Rainfall Variability Bias in Climate Model Simulations. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/57129 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42646/SOURCE02?view=true


University of New South Wales

15. Tang, Yating. Prior information and multi-objective analysis in Bayesian ecohydrological modeling.

Degree: Civil & Environmental Engineering, 2017, University of New South Wales

 This thesis presents a Bayesian multi-objective calibration approach associated with uncertainty analysis in ecohydrological modeling. This work focuses on three main objectives: (1) the development… (more)

Subjects/Keywords: ecohydrological model; Bayesian ecohydrological modeling; Bayesian

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APA (6th Edition):

Tang, Y. (2017). Prior information and multi-objective analysis in Bayesian ecohydrological modeling. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/60071 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51327/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Tang, Yating. “Prior information and multi-objective analysis in Bayesian ecohydrological modeling.” 2017. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/60071 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51327/SOURCE02?view=true.

MLA Handbook (7th Edition):

Tang, Yating. “Prior information and multi-objective analysis in Bayesian ecohydrological modeling.” 2017. Web. 26 Sep 2020.

Vancouver:

Tang Y. Prior information and multi-objective analysis in Bayesian ecohydrological modeling. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/60071 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51327/SOURCE02?view=true.

Council of Science Editors:

Tang Y. Prior information and multi-objective analysis in Bayesian ecohydrological modeling. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/60071 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51327/SOURCE02?view=true


University of New South Wales

16. Islam, Md Kamrul. Stochastic modelling for evaluation of impacts of headway variability on public transit performance.

Degree: Civil & Environmental Engineering, 2014, University of New South Wales

 This thesis investigates stochastic factors influencing reliability of public transit (particularly bustransit) and examines performance indicators using probabilistic considerations such as the effectof randomness in… (more)

Subjects/Keywords: Headway variation; Public transit system; Reliability; Performance; Stochastic modelling

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APA (6th Edition):

Islam, M. K. (2014). Stochastic modelling for evaluation of impacts of headway variability on public transit performance. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53643 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12338/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Islam, Md Kamrul. “Stochastic modelling for evaluation of impacts of headway variability on public transit performance.” 2014. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/53643 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12338/SOURCE02?view=true.

MLA Handbook (7th Edition):

Islam, Md Kamrul. “Stochastic modelling for evaluation of impacts of headway variability on public transit performance.” 2014. Web. 26 Sep 2020.

Vancouver:

Islam MK. Stochastic modelling for evaluation of impacts of headway variability on public transit performance. [Internet] [Doctoral dissertation]. University of New South Wales; 2014. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/53643 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12338/SOURCE02?view=true.

Council of Science Editors:

Islam MK. Stochastic modelling for evaluation of impacts of headway variability on public transit performance. [Doctoral Dissertation]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/53643 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12338/SOURCE02?view=true


University of New South Wales

17. Kim, Seokhyeon. Improvements and Applications of Satellite-Derived Soil Moisture Data for Flood Forecasting.

Degree: Civil & Environmental Engineering, 2017, University of New South Wales

 Accurate knowledge of the spatiotemporal behavior of soil moisture can greatly improve hydrological forecasting capability. While ground-based soil moisture measurements are ideal, they tend to… (more)

Subjects/Keywords: Flood warning; Soil moisture; Remote sensing; Hydrology

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APA (6th Edition):

Kim, S. (2017). Improvements and Applications of Satellite-Derived Soil Moisture Data for Flood Forecasting. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/58815

Chicago Manual of Style (16th Edition):

Kim, Seokhyeon. “Improvements and Applications of Satellite-Derived Soil Moisture Data for Flood Forecasting.” 2017. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/58815.

MLA Handbook (7th Edition):

Kim, Seokhyeon. “Improvements and Applications of Satellite-Derived Soil Moisture Data for Flood Forecasting.” 2017. Web. 26 Sep 2020.

Vancouver:

Kim S. Improvements and Applications of Satellite-Derived Soil Moisture Data for Flood Forecasting. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/58815.

Council of Science Editors:

Kim S. Improvements and Applications of Satellite-Derived Soil Moisture Data for Flood Forecasting. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/58815


University of New South Wales

18. Mahmud, Kashif. Numerical methods for characterizing highly heterogeneous aquifer formations.

Degree: Civil & Environmental Engineering, 2015, University of New South Wales

 Stochastic simulation allows the creation of multiple realistic realizations of an unknown geological domain, with conditioning to existing observations and reproduction of a given spatial… (more)

Subjects/Keywords: Multiple-point geostatistics; Subsurface heterogeneity; Karst hydrogeology; Cave water infiltration; LiDAR

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APA (6th Edition):

Mahmud, K. (2015). Numerical methods for characterizing highly heterogeneous aquifer formations. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/55156 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36627/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Mahmud, Kashif. “Numerical methods for characterizing highly heterogeneous aquifer formations.” 2015. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/55156 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36627/SOURCE02?view=true.

MLA Handbook (7th Edition):

Mahmud, Kashif. “Numerical methods for characterizing highly heterogeneous aquifer formations.” 2015. Web. 26 Sep 2020.

Vancouver:

Mahmud K. Numerical methods for characterizing highly heterogeneous aquifer formations. [Internet] [Doctoral dissertation]. University of New South Wales; 2015. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/55156 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36627/SOURCE02?view=true.

Council of Science Editors:

Mahmud K. Numerical methods for characterizing highly heterogeneous aquifer formations. [Doctoral Dissertation]. University of New South Wales; 2015. Available from: http://handle.unsw.edu.au/1959.4/55156 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36627/SOURCE02?view=true


University of New South Wales

19. Hasan, Mohammad Mahadi. Radar rainfall estimation: consideration of input and structural uncertainty.

Degree: Civil & Environmental Engineering, 2016, University of New South Wales

 Accurate spatial and temporal distribution of rainfall is important for hydrological applications. Rain gauges and weather radars are most widely used sensors for rainfall measurement.… (more)

Subjects/Keywords: Merging radar and gauge rainfall; Radar reflectivity; Nonparametric radar rainfall; Weighted combination; Spatial and temporal; SIMEX; Spatial variability; Error model; Uncertainty; Z-R relationship; Copula

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APA (6th Edition):

Hasan, M. M. (2016). Radar rainfall estimation: consideration of input and structural uncertainty. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/57131 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42648/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Hasan, Mohammad Mahadi. “Radar rainfall estimation: consideration of input and structural uncertainty.” 2016. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/57131 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42648/SOURCE02?view=true.

MLA Handbook (7th Edition):

Hasan, Mohammad Mahadi. “Radar rainfall estimation: consideration of input and structural uncertainty.” 2016. Web. 26 Sep 2020.

Vancouver:

Hasan MM. Radar rainfall estimation: consideration of input and structural uncertainty. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/57131 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42648/SOURCE02?view=true.

Council of Science Editors:

Hasan MM. Radar rainfall estimation: consideration of input and structural uncertainty. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/57131 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42648/SOURCE02?view=true


University of New South Wales

20. Webster, Evan. Evapotranspiration, wildfire, and catchment water balance in south-east Australia.

Degree: Biological, Earth & Environmental Sciences, 2017, University of New South Wales

 Water accounting in remote heterogeneous landscapes is a largely uncertain process. Accurate estimates of actual evapotranspiration (ETa) are a vital component of the catchment water… (more)

Subjects/Keywords: South-east Australia; Wildfire; Evapotranspiration; Water catchments; Surface energy balance

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APA (6th Edition):

Webster, E. (2017). Evapotranspiration, wildfire, and catchment water balance in south-east Australia. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/57564 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43658/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Webster, Evan. “Evapotranspiration, wildfire, and catchment water balance in south-east Australia.” 2017. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/57564 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43658/SOURCE02?view=true.

MLA Handbook (7th Edition):

Webster, Evan. “Evapotranspiration, wildfire, and catchment water balance in south-east Australia.” 2017. Web. 26 Sep 2020.

Vancouver:

Webster E. Evapotranspiration, wildfire, and catchment water balance in south-east Australia. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/57564 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43658/SOURCE02?view=true.

Council of Science Editors:

Webster E. Evapotranspiration, wildfire, and catchment water balance in south-east Australia. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/57564 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:43658/SOURCE02?view=true


University of New South Wales

21. Choudhury, Dipayan. CMIP5 Decadal Predictions: Implications for Australian Hydrology.

Degree: Faculty of Engineering, 2017, University of New South Wales

 Effective prediction of regional climate, especially rainfall, at interannual to decadal timescales is of considerable importance to decision makers. To investigate predictions at these timescales,… (more)

Subjects/Keywords: Sea surface temperature; Decadal prediction; Australian rainfall; Climate model biases

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APA (6th Edition):

Choudhury, D. (2017). CMIP5 Decadal Predictions: Implications for Australian Hydrology. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/58583

Chicago Manual of Style (16th Edition):

Choudhury, Dipayan. “CMIP5 Decadal Predictions: Implications for Australian Hydrology.” 2017. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/58583.

MLA Handbook (7th Edition):

Choudhury, Dipayan. “CMIP5 Decadal Predictions: Implications for Australian Hydrology.” 2017. Web. 26 Sep 2020.

Vancouver:

Choudhury D. CMIP5 Decadal Predictions: Implications for Australian Hydrology. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/58583.

Council of Science Editors:

Choudhury D. CMIP5 Decadal Predictions: Implications for Australian Hydrology. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/58583


University of New South Wales

22. Zardari, Noor-ul-Hassan. An improved multicriterion analysis approach to avoid subjectivity in irrigation water allocation decisions.

Degree: Civil & Environmental Engineering, 2008, University of New South Wales

 The performance of the century-old irrigation system of Pakistan (i.e. warabandi) has been evaluated using socio-economic data gathered by the author in multiple farmers’ surveys… (more)

Subjects/Keywords: Multicriterion Decision Making; Rotational Irrigation Delivery System; The warabandi; ELECTRE; Subjectivity; Pakistan

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APA (6th Edition):

Zardari, N. (2008). An improved multicriterion analysis approach to avoid subjectivity in irrigation water allocation decisions. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/41300 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:4092/SOURCE1?view=true

Chicago Manual of Style (16th Edition):

Zardari, Noor-ul-Hassan. “An improved multicriterion analysis approach to avoid subjectivity in irrigation water allocation decisions.” 2008. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/41300 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:4092/SOURCE1?view=true.

MLA Handbook (7th Edition):

Zardari, Noor-ul-Hassan. “An improved multicriterion analysis approach to avoid subjectivity in irrigation water allocation decisions.” 2008. Web. 26 Sep 2020.

Vancouver:

Zardari N. An improved multicriterion analysis approach to avoid subjectivity in irrigation water allocation decisions. [Internet] [Doctoral dissertation]. University of New South Wales; 2008. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/41300 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:4092/SOURCE1?view=true.

Council of Science Editors:

Zardari N. An improved multicriterion analysis approach to avoid subjectivity in irrigation water allocation decisions. [Doctoral Dissertation]. University of New South Wales; 2008. Available from: http://handle.unsw.edu.au/1959.4/41300 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:4092/SOURCE1?view=true


University of New South Wales

23. Chowdhury, Shahadat Hossain. Mitigating predictive uncertainty in hydroclimatic forecasts: impact of uncertain inputs and model structural form.

Degree: Civil & Environmental Engineering, 2009, University of New South Wales

 Hydrologic and climate models predict variables through a simplification of the underlying complex natural processes. Model development involves minimising predictive uncertainty. Predictive uncertainty arises from… (more)

Subjects/Keywords: Dynamic weight; Uncertainty; Model combination; Input error; SIMEX; Flow forecast; Sea surface temperature; NINO3.4; Mixture regression

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APA (6th Edition):

Chowdhury, S. H. (2009). Mitigating predictive uncertainty in hydroclimatic forecasts: impact of uncertain inputs and model structural form. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/43378 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:4488/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Chowdhury, Shahadat Hossain. “Mitigating predictive uncertainty in hydroclimatic forecasts: impact of uncertain inputs and model structural form.” 2009. Doctoral Dissertation, University of New South Wales. Accessed September 26, 2020. http://handle.unsw.edu.au/1959.4/43378 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:4488/SOURCE02?view=true.

MLA Handbook (7th Edition):

Chowdhury, Shahadat Hossain. “Mitigating predictive uncertainty in hydroclimatic forecasts: impact of uncertain inputs and model structural form.” 2009. Web. 26 Sep 2020.

Vancouver:

Chowdhury SH. Mitigating predictive uncertainty in hydroclimatic forecasts: impact of uncertain inputs and model structural form. [Internet] [Doctoral dissertation]. University of New South Wales; 2009. [cited 2020 Sep 26]. Available from: http://handle.unsw.edu.au/1959.4/43378 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:4488/SOURCE02?view=true.

Council of Science Editors:

Chowdhury SH. Mitigating predictive uncertainty in hydroclimatic forecasts: impact of uncertain inputs and model structural form. [Doctoral Dissertation]. University of New South Wales; 2009. Available from: http://handle.unsw.edu.au/1959.4/43378 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:4488/SOURCE02?view=true

.