370202. Climatology
| Title | 370202. Climatology |
|---|---|
| Parent | 3702. Climate change science |
Latest research outputs
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Forecasting the extreme rainfall, low temperatures, and strong winds associated with the northern Queensland floods of February 2019
Cowan, T., Wheeler, M. C., Alves, O., Narsey, S., de Burgh-Day, C., Griffiths, M., Jarvis, C., Cobon, D. H. and Hawcroft, M. K.. 2019. "Forecasting the extreme rainfall, low temperatures, and strong winds associated with the northern Queensland floods of February 2019." Weather and Climate Extremes. 26, pp. 1-14. https://doi.org/10.1016/j.wace.2019.100232Article
Are changes in atmospheric circulation important for black carbon aerosol impacts on clouds, precipitation, and radiation?
Johnson, B. T., Haywood, J. M. and Hawcroft, M. K.. 2019. "Are changes in atmospheric circulation important for black carbon aerosol impacts on clouds, precipitation, and radiation?" Journal of Geophysical Research: Atmospheres. 124 (14), pp. 7930-7950. https://doi.org/10.1029/2019JD030568Article
Disentangling the causes of the 1816 European year without a summer
Schurer, Andrew P., Hegerl, Gabriele C., Luterbacher, Jurg, Bronnimann, Stefan, Cowan, Tim, Tett, Simon F. B., Zanchettin, Davide and Timmreck, Claudia. 2019. "Disentangling the causes of the 1816 European year without a summer." Environmental Research Letters. 14 (094019), pp. 1-10. https://doi.org/10.1088/1748-9326/ab3a10Article
Impacts of hemispheric solar geoengineering on tropical cyclone frequency
Jones, Anthony C., Haywood, James M., Dunstone, Nick, Emanuel, Kerry, Hawcroft, Matthew K., Hodges, Kevin I. and Jones, Andy. 2017. "Impacts of hemispheric solar geoengineering on tropical cyclone frequency." Nature Communications. 8 (1), pp. 1-10. https://doi.org/10.1038/s41467-017-01606-0Article
Southern Ocean albedo, inter-hemispheric energy transports and the double ITCZ: global impacts of biases in a coupled model
Hawcroft, M., Haywood, J. M., Collins, M., Jones, A., Jones, A. C. and Stephens, G.. 2017. "Southern Ocean albedo, inter-hemispheric energy transports and the double ITCZ: global impacts of biases in a coupled model." Climate Dynamics. 48 (7-8), pp. 2279-2295. https://doi.org/10.1007/s00382-016-3205-5Article
Climate change in Nepal: a comprehensive analysis of instrumental data and people’s perceptions
Shrestha, Uttam Babu, Shrestha, Asheshwor Man, Aryal, Suman, Shrestha, Sujata, Gautam, Madhu Sudan and Ojha, Hemant. 2019. "Climate change in Nepal: a comprehensive analysis of instrumental data and people’s perceptions." Climatic Change: an interdisciplinary, international journal devoted to the description, causes and implications of climatic change. 154 (3-4), pp. 315-334. https://doi.org/10.1007/s10584-019-02418-5Article
The contribution of tropical cyclones to rainfall in northwest Australia
Ng, Benjamin, Walsh, Kevin and Lavender, Sally. 2015. "The contribution of tropical cyclones to rainfall in northwest Australia." International Journal of Climatology. 35 (10), pp. 2689-2697. https://doi.org/10.1002/joc.4148Article
A climatology of Australian heat low events
Lavender, Sally L.. 2017. "A climatology of Australian heat low events." International Journal of Climatology. 37 (1), pp. 534-539. https://doi.org/10.1002/joc.4692Article
An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction
Yaseen, Zaher Mundher, Sulaiman, Sadeq Oleiwi, Deo, Ravinesh C. and Chau, Kwok-Wing. 2019. "An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction." Journal of Hydrology. 569, pp. 387-408. https://doi.org/10.1016/j.jhydrol.2018.11.069Article
Evaluation of spatio-temporal rainfall variability and performance of a stochastic rainfall model in Bangladesh
Chowdhury, A. F. M. Kamal, Kar, Kanak Kanti, Shahid, Shamsuddin, Chowdhury, Rezaul and Rashid, Md. Mamunur. 2019. "Evaluation of spatio-temporal rainfall variability and performance of a stochastic rainfall model in Bangladesh." International Journal of Climatology. https://doi.org/10.1002/joc.6071Article
Valuing seasonal climate forecasts in Australian agriculture: northern grains case study
Darbyshire, R., Crean, J., Kouadio, L., Cashen, M., Anwar, M. and Cobon, D.. 2018. Valuing seasonal climate forecasts in Australian agriculture: northern grains case study. Nnew South Wales, Australia. NSW Department of Primary Industries.Technical report
The spatial and temporal contribution of glacier runoff to watershed discharge in the Yarkant River Basin, Northwest China
Yin, Zhenliang, Feng, Qi, Liu, Shiyin, Zhou, Songbing, Li, Jing, Yang, Linshan and Deo, Ravinesh C.. 2017. "The spatial and temporal contribution of glacier runoff to watershed discharge in the Yarkant River Basin, Northwest China." Water: an open access journal. 9 (3), pp. 159-178. https://doi.org/10.3390/w9030159Article
Significantly increased extreme precipitation expected in Europe and North America from extratropical cyclones
Hawcroft, Matt, Walsh, Ella, Hodges, Kevin and Zappa, Giuseppe. 2018. "Significantly increased extreme precipitation expected in Europe and North America from extratropical cyclones." Environmental Research Letters. 13 (12), pp. 1-9. https://doi.org/10.1088/1748-9326/aaed59Article
The contrasting climate response to tropical and extratropical energy perturbations
Hawcroft, Matt, Haywood, Jim M., Collins, Mat and Jones, Andy. 2018. "The contrasting climate response to tropical and extratropical energy perturbations." Climate Dynamics. 51 (9-10), pp. 3231-3249. https://doi.org/10.1007/s00382-018-4076-8Article
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
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
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
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
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)
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
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