Rainfall Forecasting

The following peer-reviewed publications related to rainfall and climate forecasting…

Abbot, J. & Marohasy J. 2017. The application of machine learning for evaluating anthropogenic versus natural climate change, GeoResJ, Volume 14, Pages 36-46. http://dx.doi.org/10.1016/j.gf.2017.08.001

Abbot, J. & Marohasy, J. 2017. Skilful rainfall forecasts from artificial neural networks with long duration series and single-month optimisation, Atmospheric Research, Volume 197, Pages 289-299. DOI10.1016/j.atmosres.2017.07.01

Abbot, J. & Nicol, J. 2017. The Contribution of Carbon Dioxide to Global Warming, In Climate Change: The Facts 2017, Institute of Public Affairs, Melbourne, Editor J. Marohasy, Pages 282-296.

Marohasy, J. 2017. The Homogenisation of Rutherglen, In Climate Change: The Facts 2017, Institute of Public Affairs, Melbourne, Editor J. Marohasy, Pages 132-146.

Marohasy, J. & Vlok, J. 2017. Moving in Unison: Maximum Temperatures from Victoria, Australia, In Climate Change: The Facts 2017, Institute of Public Affairs, Melbourne, Editor J. Marohasy, Pages 147-162.

Abbot, J. & Marohasy, J. 2017. Forecasting extreme monthly rainfall events in regions of Queensland, Australia, using artificial neural networks. International Journal of Sustainable Development & Planning, Volume 12, Pages 1117-1131.DOI 10.2495/SDP-V12-N7-1117-1131. (Open access.)

Abbot, J. & Marohasy, J. 2017. Application of artificial neural networks to forecasting monthly rainfall one year in advance for locations within the Murray Darling Basin, Australia, International Journal of Sustainable Development & Planning. Volume 12, Pages 1282-1298. DOI 10.2495/SDP-V12-N8-1282-1298.

Abbot, J. & Marohasy, J. 2016. Forecasting monthly rainfall in the Bowen Basin of Queensland, Australia, using neural networks with Nino indices. In AI 2016: Advances in Artificial Intelligence, Eds. B.H. Kand & Q. Bai. DOI: 10.1007/978-3-319-50127-7_7.

Abbot, J. & Marohasy, J. 2016. Forecasting monthly rainfall in the Western Australian wheat-belt up to 18-months in advance using artificial neural networks. In AI 2016: Advances in Artificial Intelligence, Eds. B.H. Kand & Q. Bai. DOI: 10.1007/978-3-319-50127-7_6.

Marohasy, J. & Abbot J. 2016. Southeast Australian Maximum Temperature Trends, 1887–2013: An Evidence-Based Reappraisal. In Evidence-Based Climate Science (Second Edition), Ed. D. Easterbrook. Pages 83-99. http://dx.doi.org/10.1016/B978-0-12-804588-6.00005-7

Marohasy, J. 2016. Temperature change at Rutherglen in south-east Australia, New Climate, http://dx.doi.org/10.22221/nc.2016.001

Marohasy, J. & Abbot, J. 2015. Assessing the quality of eight different maximum temperature time series as inputs when using artificial neural networks to forecast monthly rainfall at Cape Otway, Australia, Atmospheric Research, Volume 166, Pages 141-149. doi: 10.1016/j.atmosres.2015.06.025.

Abbot J. & Marohasy J. 2015. Using artificial intelligence to forecast monthly rainfall under present and future climates for the Bowen Basin, Queensland, Australia, International Journal of Sustainable Development and Planning, Volume 10, Issue 1, Pages 66 – 75. DOI: 10.2495/SDP-V10-N1-66-75

Abbot J. & Marohasy J. 2015. Using lagged and forecast climate indices with artificial intelligence to predict monthly rainfall in the Brisbane Catchment, Queensland, Australia, International Journal of Sustainable Development and Planning. Volume 10, Issue 1, Pages 29-41.

Abbot J. & Marohasy J., 2015. Improving monthly rainfall forecasts using artificial neural networks and single-month optimisation in the Brisbane Catchment, Queensland, Australia. WIT Transactions on Ecology and the Environment, 196: 3-13.

Abbot J. & Marohasy J., 2015. Forecasting of monthly rainfall in the Murray Darling Basin, Australia: Miles as a case study. WIT Transactions on Ecology and the Environment, 197: 149-159.

Abbot J. & Marohasy J. 2014. Input selection and optimisation for monthly rainfall forecasting in Queensland, Australia, using artificial neural networks. Atmospheric Research, Volume 138, Pages 166-178.

Abbot J. & Marohasy J. 2013. The application of artificial intelligence for monthly rainfall forecasting in the Brisbane Catchment, Queensland, Australia. River Basin Management VII. WIT Press. Editor C.A. Brebbia. Pages 125-135.

Abbot J. & Marohasy J. 2013. The potential benefits of using artificial intelligence for monthly rainfall forecasting for the Bowen Basin, Queensland, Australia. Water Resources Management VII. WIT Press. Editor C.A. Brebbia. Pages 287-297.

Abbot J., & J. Marohasy, 2011. Application of artificial neural networks to rainfall forecasting in Queensland, Australia. Advances in Atmospheric Sciences, Volume 29, Number 4, Pages 717-730. doi: 10.1007/s00376-012-1259-9.

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