3702. Climate change science
| Title | 3702. Climate change science |
|---|---|
| Parent | 37. Earth Sciences |
Latest research outputs
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Comments on 'Rethinking the lower bound on aerosol radiative forcing'
Booth, Ben B. B., Harris, Glen R., Jones, Andy, Wilcox, Laura, Hawcroft, Matt and Carslaw, Ken S.. 2018. "Comments on 'Rethinking the lower bound on aerosol radiative forcing'." Journal of Climate. 31 (22), pp. 9407-9412. https://doi.org/10.1175/JCLI-D-17-0369.1Article
Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models
Lavender, Sally L., Walsh, Kevin J. E., Caron, Louis-Philippe, King, Malcolm, Monkiewicz, Sam, Guishard, Mark, Zhang, Qiong and Hunt, barrie. 2018. "Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models." Science Advances. 4 (8), pp. 1-8. https://doi.org/10.1126/sciadv.aat6509Article
The influence of sea surface temperature on the intensity and associated storm surge of tropical cyclone Yasi: a sensitivity study
Lavender, Sally L., Hoeke, Ron K. and Abbs, Deborah J.. 2018. "The influence of sea surface temperature on the intensity and associated storm surge of tropical cyclone Yasi: a sensitivity study." Natural Hazards and Earth System Sciences. 18 (3), pp. 795-805. https://doi.org/10.5194/nhess-18-795-2018Article
The physical processes causing nocturnal rainfall over northwest Australia and their representation in high- and low-resolution models with parametrized convection
Ackerley, D., Birch, C. E., Garcia-Carreras, L., Lavender, S. L. and Weller, E.. 2018. "The physical processes causing nocturnal rainfall over northwest Australia and their representation in high- and low-resolution models with parametrized convection." Quarterly Journal of the Royal Meteorological Society. 144 (711), pp. 511-528. https://doi.org/10.1002/qj.3223Article
Influence of internal climate variability on Indian Ocean Dipole properties
Ng, Benjamin, Cai, Wenju, Cowan, Tim and Bi, Daohua. 2018. "Influence of internal climate variability on Indian Ocean Dipole properties." Scientific Reports. 8 (1), pp. 1-8. https://doi.org/10.1038/s41598-018-31842-3Article
Tropical cyclone insurance for Queensland agriculture
Mushtaq, Shahbaz, Kath, Jarrod, Stone, Roger, Marcussen, Torben, Roberts, Julian, Wilkinson, Claire, Mehmet, Russell and Henry, Ross. 2018. Tropical cyclone insurance for Queensland agriculture. University of Southern Queensland. University of Southern Queensland.Government report
Drought climate adaptation program: producing enhanced agricultural crop insurance systems: summary report
Mushtaq, Shabaz, Marcussen, Torben, Kath, Jarrod, Reardon-Smith, Kathryn, Kouadio, Louis, Krishnamurti, Chandrasekhar, Stone, Roger, Roberts, Julian, Mehmet, Russell, Pilling, Debbie and Henry, Ross. 2018. Drought climate adaptation program: producing enhanced agricultural crop insurance systems: summary report. University of Southern Queensland.Government report
Drought climate adaptation program: producing enhanced agricultural crop insurance systems: final report
Mushtaq, Shahbaz, Marcussen, Torben, Kath, Jarrod, Reardon-Smith, Kathryn, Kouadio, Louis, Krishnamurti, Chandrasekhar, Stone, Roger, Roberts, Julian, Mehmet, Russell, Pilling, Debbie and Henry, Ross. 2017. Drought climate adaptation program: producing enhanced agricultural crop insurance systems: final report. University of Southern Queensland.Government report
Early warning and response systems in the Pacific and Timor-Leste: How to make a lasting difference on the ground
Power, Scott, Alexander, Karen and Hoebreck, Cedric. 2019. Early warning and response systems in the Pacific and Timor-Leste: How to make a lasting difference on the ground. Australia. Department of Foreign Affairs and Trade.Other
The value of the Australian Drought Monitor to the cattle industry
Pudmenzky, Christa. 2019. "The value of the Australian Drought Monitor to the cattle industry." International Tropical Agriculture Conference (TropAg 2019). Brisbane, Australia 11 - 13 Nov 2019Presentation
Index insurance benefits agricultural producers exposed to excessive rainfall risk
Kath, Jarrod, Mushtaq, Shahbaz, Henry, Ross, Adeyinka, Adewuyi and Stone, Roger. 2018. "Index insurance benefits agricultural producers exposed to excessive rainfall risk." Weather and Climate Extremes. 22, pp. 1-9. https://doi.org/10.1016/j.wace.2018.10.003Article
Description and assessment of regional sea-level trends and variability from altimetry and tide gauges at the northern Australian coast
Gharineiat, Zahra and Deng, Xiaoli. 2018. "Description and assessment of regional sea-level trends and variability from altimetry and tide gauges at the northern Australian coast." Advances in Space Research. 61 (10), pp. 2540-2554. https://doi.org/10.1016/j.asr.2018.02.038Article
Copula-based agricultural conditional value-at-risk modelling for geographical diversifications in wheat farming portfolio management
Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz, Kath, Jarrod and Khan, Shahjahan. 2018. "Copula-based agricultural conditional value-at-risk modelling for geographical diversifications in wheat farming portfolio management." Weather and Climate Extremes. 21, pp. 76-89. https://doi.org/10.1016/j.wace.2018.07.002Article
Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment
Yin, Zhenliang, Feng, Qi, Wen, Xiaohu, Deo, Ravinesh C., Yang, Linshan, Si, Jianhua and He, Zhibin. 2018. "Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment." Stochastic Environmental Research and Risk Assessment. 32 (9), pp. 2457-2476. https://doi.org/10.1007/s00477-018-1585-2Article
Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting." Computers and Electronics in Agriculture. 152, pp. 149-165. https://doi.org/10.1016/j.compag.2018.07.013Article
A real-time hourly water index for flood risk monitoring: pilot studies in Brisbane, Australia, and Dobong Observatory, South Korea
Deo, Ravinesh C., Byun, Hi-Ryong, Kim, Ga-Byn and Adamowski, Jan F.. 2018. "A real-time hourly water index for flood risk monitoring: pilot studies in Brisbane, Australia, and Dobong Observatory, South Korea." Environmental Monitoring and Assessment. 190 (450). https://doi.org/10.1007/s10661-018-6806-0Article
Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting." Atmospheric Research. 213, pp. 450-464. https://doi.org/10.1016/j.atmosres.2018.07.005Article
Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters
Fijani, Elham, Barzegar, Rahim, Deo, Ravinesh, Tziritis, Evangelos and Konstantinos, Skordas. 2019. "Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters." Science of the Total Environment. 648, pp. 839-853. https://doi.org/10.1016/j.scitotenv.2018.08.221Article
Seasonal climate forecasts and decision support systems for drought prone agriculture: a case study based on the development and application of the Rainman climate analysis software
Clewett, J. F.. 2003. "Seasonal climate forecasts and decision support systems for drought prone agriculture: a case study based on the development and application of the Rainman climate analysis software." Yokoyama, S. and Concepcion, R. N. (ed.) Coping against El Nino for stabilizing rainfed agriculture: lessons from Asia and the Pacific . CGPRT Centre, Bogor, Indonesia. United Nations. pp. 37-55Edited book (chapter)
Optimising farm dam irrigation in response to climatic risk
Clewett, J. F., Howden, S. M., McKeon, G. M. and Rose, C. W.. 1991. "Optimising farm dam irrigation in response to climatic risk." Muchow, Russell C. and Bellamy, Jennifer A. (ed.) Climatic risk in crop production: models and management for the semiarid tropics and subtropics. Wallingford, Oxon, United Kingdom. CABI. pp. 307-328Edited book (chapter)
Coastal altimetry for sea level changes in Northern Australian coastal oceans
Gharineiat, Zahra. 2017. Coastal altimetry for sea level changes in Northern Australian coastal oceans. PhD Thesis Doctor of Philosophy. University of Newcastle.PhD Thesis
Responding to climate change: the contribution of Maharishi Vedic science
Wells, Geoffrey, Fergusson, Lee, Kettle, David and Bonshek, Anna. 2017. "Responding to climate change: the contribution of Maharishi Vedic science." Journal of Maharishi Vedic Research Institute. 5, pp. 79-120.Article
Responding to climate change: the contribution of Maharishi Vedic Science
Wells, Geoffrey, Fergusson, Lee, Kettle, David and Bonshek, Anna. 2017. "Responding to climate change: the contribution of Maharishi Vedic Science." Journal of Health and Environmental Research. 3 (3-1), pp. 63-78. https://doi.org/10.11648/j.jher.s.2017030301.15Article
Return period and Pareto analyses of 45 years of tropical cyclone data (1970-2014) in the Philippines
Espada, Rudolf. 2018. "Return period and Pareto analyses of 45 years of tropical cyclone data (1970-2014) in the Philippines." Applied Geography. 97, pp. 228-247. https://doi.org/10.1016/j.apgeog.2018.04.018Article
Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition." Geoderma. 330, pp. 136-161. https://doi.org/10.1016/j.geoderma.2018.05.035Article
Non-tuned data intelligent model for soil temperature estimation: a new approach
Sanikhani, Hadi, Deo, Ravinesh C., Yaseen, Zaher Mundheer, Eray, Okan and Kisi, Ozgur. 2018. "Non-tuned data intelligent model for soil temperature estimation: a new approach." Geoderma. 330, pp. 52-64. https://doi.org/10.1016/j.geoderma.2018.05.030Article
Australian rainfall trends and their relation to the southern oscillation index
Chowdhury, R. K. and Beecham, S.. 2010. "Australian rainfall trends and their relation to the southern oscillation index." Hydrological Processes. 24 (4), pp. 504-514. https://doi.org/10.1002/hyp.7504Article
Temporal characteristics and variability of point rainfall: a statistical and wavelet analysis
Beecham, S. and Chowdhury, R. K.. 2010. "Temporal characteristics and variability of point rainfall: a statistical and wavelet analysis." International Journal of Climatology. 30 (3), pp. 458-473. https://doi.org/10.1002/joc.1901Article
Influence of SOI, DMI and Niño3.4 on South Australian rainfall
Chowdhury, Rezaul K. and Beecham, Simon. 2013. "Influence of SOI, DMI and Niño3.4 on South Australian rainfall." Stochastic Environmental Research and Risk Assessment. 27 (8), pp. 1909-1920. https://doi.org/10.1007/s00477-013-0726-xArticle
Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia
Dayal, Kavina, Deo, Ravinesh and Apan, Armando A.. 2017. "Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia." Filho, Walter Leal (ed.) Climate change adaptation in Pacific countries:fostering resilience and improving the quality of life. Springer. pp. 177-198Edited book (chapter)
Statistical downscaling of multi-site daily rainfall in a South Australian catchment using a Generalized Linear Model
Beecham, Simon, Rashid, Mamunur and Chowdhury, Rezaul K.. 2014. "Statistical downscaling of multi-site daily rainfall in a South Australian catchment using a Generalized Linear Model." International Journal of Climatology. 34 (14), pp. 3654-3670. https://doi.org/10.1002/joc.3933Article
Statistical downscaling of rainfall: a non-stationary and multi-resolution approach
Rashid, Md. Mamunur, Beecham, Simon and Chowdhury, Rezaul Kabir. 2016. "Statistical downscaling of rainfall: a non-stationary and multi-resolution approach." Theoretical and Applied Climatology. 124 (3-4), pp. 919-933. https://doi.org/10.1007/s00704-015-1465-3Article
Statistical downscaling of CMIP5 outputs for projecting future changes in rainfall in the Onkaparinga catchment
Rashid, Md. Mamunur, Beecham, Simon and Chowdhury, Rezaul K.. 2015. "Statistical downscaling of CMIP5 outputs for projecting future changes in rainfall in the Onkaparinga catchment." Science of the Total Environment. 530-531, pp. 171-182. https://doi.org/10.1016/j.scitotenv.2015.05.024Article
Decadal scale relationship between indices of climate variability and Australian rainfall
Stilgoe, Bernard. 2016. Decadal scale relationship between indices of climate variability and Australian rainfall. Masters Thesis Master of Science (Research). University of Southern Queensland.Masters Thesis
Simulation of extreme rainfall and projection of future changes using the GLIMCLIM model
Rashid, Md. Mamunur, Beecham, Simon and Chowdhury, Resaul Kabir. 2017. "Simulation of extreme rainfall and projection of future changes using the GLIMCLIM model." Theoretical and Applied Climatology. 130 (1-2), pp. 453-466. https://doi.org/10.1007/s00704-016-1892-9Article
Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region
Mouatadid, Soukayna, Raj, Nawin, Deo, Ravinesh C. and Adamowski, Jan F.. 2018. "Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region." Atmospheric Research. 212, pp. 130-149. https://doi.org/10.1016/j.atmosres.2018.05.012Article
Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises
McCarthy, E., Deo, R. C., Li, Y. and Maraseni, T.. 2017. "Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises." Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (ed.) 22nd International Congress on Modelling and Simulation (MODSIM2017). Hobart, Australia 03 - 08 Dec 2017 Australia. Modelling and Simulation Society of Australia and New Zealand . https://doi.org/10.36334/modsim.2017.L1.mccarthyPaper
Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China
Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Wu, Min and Si, Jianhua. 2017. "Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China." Hydrology Research: an international journal. 48 (6), pp. 1710-1729. https://doi.org/10.2166/nh.2016.396Article
Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors." Soil and Tillage Research. 181, pp. 63-81. https://doi.org/10.1016/j.still.2018.03.021Article
Application of the hybrid artificial neural network coupled with rolling mechanism and grey model algorithms for streamflow forecasting over multiple time horizons
Yaseen, Zaher Mundher, Fu, Minglei, Wang, Chen, Mohtar, Wan Hanna Melini Wan, Deo, Ravinesh C. and El-Shafie, Ahmed. 2018. "Application of the hybrid artificial neural network coupled with rolling mechanism and grey model algorithms for streamflow forecasting over multiple time horizons." Water Resources Management. 32 (5), pp. 1883-1899. https://doi.org/10.1007/s11269-018-1909-5Article