Dr. Paul M. Feikema

Department of Forest and Ecosystem Science

University of Melbourne, Australia

Email: pfeikema@unimelb.edu.au

Qualifications

2000 Ph.D., Monash University, Australia

1995 M.Sc., University of Melbourne, Australia

1992 B.Sc., University of Melbourne, Australia

Publications (Selected)

1. Bari, M. A., Hasan, M. M., Amirthanathan, G. E., Hapuarachchi, H. A. P., Kabir, A., Cornish, A. D., ... & Feikema, P. M. (2024). Performance Evaluation of a National Seven-Day Ensemble Streamflow Forecast Service for Australia. Water, 16(10), 1438.
2. Bari, M. A., Hasan, M. M., Amirthanathan, G. E., Hapuarachchi, H. A. P., Kabir, A., Cornish, A. D., ... & Feikema, P. M. (2024). Performance Evaluation of a National 7-Day Ensemble Streamflow Forecast Service for Australia.
3. Amirthanathan, G. E., Bari, M. A., Woldemeskel, F. M., Tuteja, N. K., & Feikema, P. M. (2023). Regional significance of historical trends and step changes in Australian streamflow. Hydrology and Earth System Sciences, 27(1), 229-254.
4. Hapuarachchi, H. A. P., Bari, M. A., Kabir, A., Hasan, M. M., Woldemeskel, F. M., Gamage, N., ... & Feikema, P. M. (2022). Development of a national 7-day ensemble streamflow forecasting service for Australia. Hydrology and Earth System Sciences, 26(18), 4801-4821.
5. Woldemeskel, F., Bishop, A., Sunter, P., Ramanathan, N., Subramanian, R., Kabir, A., ... & Feikema, P. (2021, January). Adoption of 7-day streamflow forecasting service for operational decision making in the Murray Darling Basin, Australia (HWRS 2021). In HWRS 2021: Digital Water: Hydrology and Water Resources Symposium 2021: Hydrology and Water Resources Symposium 2021 (pp. 394-398). Engineers Australia.
6. Lerat, J., Thyer, M., McInerney, D., Kavetski, D., Woldemeskel, F., Pickett-Heaps, C., ... & Feikema, P. (2020). A robust approach for calibrating a daily rainfall-runoff model to monthly streamflow data. Journal of Hydrology, 591, 125129.
7. Feikema, P. M., Wang, Q. J., Zhou, S., Shin, D., Robertson, D. E., Schepen, A., ... & Jayasuriya, D. (2018). Service and research on seasonal streamflow forecasting in Australia. In Bridging science and policy implication for managing climate extremes (pp. 157-175).
8. Schepen, A., Zhao, T., Wang, Q. J., Zhou, S., & Feikema, P. (2016). Optimising seasonal streamflow forecast lead time for operational decision making in Australia. Hydrology and Earth System Sciences, 20(10), 4117-4128.
9. Pappenberger, F., Pagano, T. C., Brown, J. D., Alfieri, L., Lavers, D. A., Berthet, L., ... & Thielen-del Pozo, J. (2016). Hydrological ensemble prediction systems around the globe. In Handbook of hydrometeorological ensemble forecasting.
10. Togashi, H. F., Prentice, I. C., Evans, B. J., Forrester, D. I., Drake, P., Feikema, P., ... & Taylor, D. (2015). Morphological and moisture availability controls of the leaf area‐to‐sapwood area ratio: analysis of measurements on A ustralian trees. Ecology and Evolution, 5(6), 1263-1270.
11. Lerat, J., Pickett-Heaps, C. A., Shin, D., Zhou, S., Feikema, P., Khan, U., ... & Kavetski, D. (2015, January). Dynamic streamflow forecasts within an uncertainty framework for 100 catchments in Australia. In 36th Hydrology and Water Resources Symposium: The art and science of water: The art and science of water (pp. 1396-1403). Barton, ACT: Engineers Australia.
12. Le, B., Tuteja, N., MacDonald, A., Feikema, P., Zhou, S., Shin, D., ... & Wilson, T. (2014, January). Improving statistical streamflow predictions using a water balance model for operational seasonal forecasts. In Hydrology and Water Resources Symposium 2014 (pp. 28-35). Barton, ACT: Engineers Australia.
13. Feikema, P. M., Sherwin, C. B., & Lane, P. N. (2013). Influence of climate, fire severity and forest mortality on predictions of long term streamflow: potential effect of the 2009 wildfire on Melbourne’s water supply catchments. Journal of Hydrology, 488, 1-16.

Profile Details

WoS ResearcherID: H-8007-2012

https://www.linkedin.com/in/paul-feikema/?originalSubdomain=au

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