370202. Climatology
| Title | 370202. Climatology |
|---|---|
| Parent | 3702. Climate change science |
Latest research outputs
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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
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
Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey
Ghorbani, Mohammad Ali, Deo, Ravinesh C., Karimi, Vahid, Yaseen, Zaher Mundher and Terz, Ozlem. 2018. "Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey." Stochastic Environmental Research and Risk Assessment. 32 (6), pp. 1683-1697. https://doi.org/10.1007/s00477-017-1474-0Article
Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran
Ghorbani, M. A., Deo, Ravinesh C., Yaseen, Zaher Mundher, Kashani, Mahsa H. and Mohammadi, Babak. 2018. "Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran." Theoretical and Applied Climatology. 133 (3-4), pp. 1119-1131. https://doi.org/10.1007/s00704-017-2244-0Article
Statistical evaluation of rainfall time series in concurrence with agriculture and water resources of Ken River basin, Central India (1901–2010)
Meshram, Sarita Gajbhiye, Singh, Sudhir Kumar, Meshram, Chandrashekhar, Deo, Ravinesh C. and Ambade, Balram. 2018. "Statistical evaluation of rainfall time series in concurrence with agriculture and water resources of Ken River basin, Central India (1901–2010)." Theoretical and Applied Climatology. 134, pp. 1231-1243. https://doi.org/10.1007/s00704-017-2335-yArticle
Improving the use of climate information in decision-making
Hewitt, Chris D., Stone, Roger C. and Tait, Andrew B.. 2017. "Improving the use of climate information in decision-making." Nature Climate Change. 7 (9), pp. 614-616. https://doi.org/10.1038/nclimate3378Notes or commentaries
Separation of the Climatic and Land Cover Impacts on the Flow Regime Changes in Two Watersheds of Northeastern Tibetan Plateau
Yang, Linshan, Feng, Qi, Yin, Zhenliang, Deo, Ravinesh C., Wen, Xiaohu, Si, Jianhua and Li, Changbin. 2017. "Separation of the Climatic and Land Cover Impacts on the Flow Regime Changes in Two Watersheds of Northeastern Tibetan Plateau." Advances in Meteorology. 2017, pp. 1-15. https://doi.org/10.1155/2017/6310401Article
Changes in climatic elements in the Pan-Hexi region during 1960–2014 and responses to global climatic changes
Wei, Liu, Feng, Qi and Deo, Ravinesh C.. 2018. "Changes in climatic elements in the Pan-Hexi region during 1960–2014 and responses to global climatic changes." Theoretical and Applied Climatology. 133 (1-2), pp. 405-420. https://doi.org/10.1007/s00704-017-2194-6Article
Copula-statistical precipitation forecasting model in Australia’s agro-ecological zones
Nguyen-Huy, Thong, Deo, Ravinesh C., An-Vo, Duc-Anh, Mushtaq, Shahbaz and Khan, Shahjahan. 2017. "Copula-statistical precipitation forecasting model in Australia’s agro-ecological zones." Agricultural Water Management. 191, pp. 153-172. https://doi.org/10.1016/j.agwat.2017.06.010Article
Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2017. "Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm." Atmospheric Research. 197, pp. 42-63. https://doi.org/10.1016/j.atmosres.2017.06.014Article
Spatial variation in springtime temperature index values during ENSO and IOD events shows non-equivalent phase response for viticultural regions in Australia
Jarvis, C., Darbyshire, R., Goodwin, I., Barlow, E. and Eckard, R.. 2018. "Spatial variation in springtime temperature index values during ENSO and IOD events shows non-equivalent phase response for viticultural regions in Australia." Agriculture and Forest Meteorology. 250-251, pp. 217-225. https://doi.org/10.1016/j.agrformet.2017.12.261Article
Influence of El Niño-Southern Oscillation and the Indian Ocean Dipole on winegrape maturity in Australia
Jarvis, C., Darbyshire, R., Eckard, R., Goodwin, I. and Barlow, E.. 2018. "Influence of El Niño-Southern Oscillation and the Indian Ocean Dipole on winegrape maturity in Australia ." Agriculture and Forest Meteorology. 248, pp. 502-510. https://doi.org/10.1016/j.agrformet.2017.10.021Article
Connecting the dots - climate information has no value unless it changes a management decision: Some illustrative cases
Stone, Roger C.. 2009. "Connecting the dots - climate information has no value unless it changes a management decision: Some illustrative cases." Wesley, Michael, Xinsheng, Wang and McMillen, Don (ed.) Non-traditional security in PRC - Australia relations: GLOBAL issues of common concern (2009). Guangzhou, China 02 - 04 Jul 2009 Brisbane, Australia.Paper
Quantitative definition and spatiotemporal distribution of little water season (LIWAS) in Korea
Kim, Su-Jeong, Byun, Hi-Ryong and Deo, Ravinesh C.. 2016. "Quantitative definition and spatiotemporal distribution of little water season (LIWAS) in Korea." Asia-Pacific Journal of Atmospheric Sciences. 52 (4), pp. 379-393. https://doi.org/10.1007/s13143-016-0012-1Article
The early 20th century warming: Anomalies, causes, and consequences
Hegerl, Gabriele C., Bronnimann, Stefan, Schurer, Andrew and Cowan, Tim. 2018. "The early 20th century warming: Anomalies, causes, and consequences." WIREs Climate Change. 9 (4). https://doi.org/10.1002/wcc.522Article
Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model
Deo, Ravinesh C., Tiwari, Mukesh K., Adamowski, Jan F. and Quilty, John M.. 2017. "Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model." Stochastic Environmental Research and Risk Assessment. 31 (5), pp. 1211-1240. https://doi.org/10.1007/s00477-016-1265-zArticle
Future strategies for climate services in agriculture: GFCS and collaborative implementation Australia / Western Pacific - national / regional implementation strategies
Stone, Roger. 2012. "Future strategies for climate services in agriculture: GFCS and collaborative implementation Australia / Western Pacific - national / regional implementation strategies." Joint International Symposium: ISAM 2012 and WMO-CAgM Climate Services for Agriculture: Best Practices and Future Strategies. Osaka, Japan 13 - 17 Mar 2012Paper
Current climate data rescue activities in Australia
Ashcroft, Linden, Allan, Rob, Bridgman, Howard, Gergis, Joelle, Pudmenzky, Christa and Thornton, Ken. 2016. "Current climate data rescue activities in Australia." Advances in Atmospheric Sciences. 33 (12), pp. 1323-1324. https://doi.org/10.1007/s00376-016-6189-5Notes or commentaries
Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2016. "Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index." 2016 IEEE Region 10 International Conference: Technologies for Smart Nation (TENCON 2016). Singapore 22 - 25 Nov 2016 Singapore. https://doi.org/10.1109/TENCON.2016.7848588Paper
Time of Observation Error (TOBs) in temperature maxima can be reliably measured from real data (rather than estimated from models)
House, Ron. 2016. Time of Observation Error (TOBs) in temperature maxima can be reliably measured from real data (rather than estimated from models). Toowoomba, Australia. Unpublished.Working paper
Food shortages are associated with droughts, floods, frosts and ENSO in Papua New Guinea
Cobon, David H., Ewai, Maureen, Inape, Kasis and Bourke, R. Michael. 2016. "Food shortages are associated with droughts, floods, frosts and ENSO in Papua New Guinea." Agricultural Systems. 145, pp. 150-164. https://doi.org/10.1016/j.agsy.2016.02.012Article
Effects of regional climate change on brown rust disease in winter wheat
Junk, J., Kouadio, L., Delfosse, P. and El Jarroudi, M.. 2016. "Effects of regional climate change on brown rust disease in winter wheat." Climatic Change: an interdisciplinary, international journal devoted to the description, causes and implications of climatic change. 135 (3-4), pp. 439-451. https://doi.org/10.1007/s10584-015-1587-8Article
Weather Detective: An Australian citizen science project
Pudmenzky, Christa. 2017. "Weather Detective: An Australian citizen science project." AMOS/MSNZ Conference and ANZ Climate Forum 2017. Canberra, Australia 07 - 10 Feb 2017Presentation