3701. Atmospheric sciences
| Title | 3701. Atmospheric sciences |
|---|---|
| Parent | 37. Earth Sciences |
Latest research outputs
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Evaluation of the HadGEM3-A simulations in view of detection and attribution of human influence on extreme events in Europe
Vautard, Robert, Christidis, Nikolaos, Ciavarella, Andrew, Alvarez-Castro, Carmen, Bellprat, Omar, Christiansen, Bo, Colfescu, Ioana, Cowan, Tim, Doblas-Reyes, Francisco, Eden, Jonathan, Hauser, Mathias, Hegerl, Gabriele, Hempelmann, Nils, Klehmet, Katharina, Lott, Fraser, Nangini, Cathy, Orth, Rene, Radanovics, Sabine, Seneviratne, Sonia I., ..., Yiou, Pascal. 2019. "Evaluation of the HadGEM3-A simulations in view of detection and attribution of human influence on extreme events in Europe." Climate Dynamics. 52 (1-2), pp. 1187-1210. https://doi.org/10.1007/s00382-018-4183-6Article
Atmospheric circulation. 1. Mean sea level pressure and related modes of variability
Allan, R. and Folland, C. K.. 2018. "Atmospheric circulation. 1. Mean sea level pressure and related modes of variability." Bulletin of the American Meteorological Society. 99 (8), pp. S39-S41. https://doi.org/10.1175/2018BAMSStateoftheClimate.1Article
Investigation of correlation of broadband UVA reflection to broadband visible reflection for a variety of surfaces in the built environment
Turner, Joanna and Parisi, Alfio V.. 2018. "Investigation of correlation of broadband UVA reflection to broadband visible reflection for a variety of surfaces in the built environment." Building and Environment. 136, pp. 259-268. https://doi.org/10.1016/j.buildenv.2018.03.062Article
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)
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
Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2018. "Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities." Remote Sensing of Environment: an interdisciplinary journal. 212, pp. 176-198. https://doi.org/10.1016/j.rse.2018.05.003Article
An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index." Atmospheric Research. 207, pp. 155-180. https://doi.org/10.1016/j.atmosres.2018.02.024Article
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
An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia
Salcedo-sanz, Sancho, Deo, Ravinesh C., Cornejo-Bueno, Laura, Camacho-Gomez, Carlos and Ghimire, Sujan. 2018. "An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia." Applied Energy. 209, pp. 79-94. https://doi.org/10.1016/j.apenergy.2017.10.076Article
Forecasting evaporative loss by least-square support-vector regression and evaluation with genetic programming, Gaussian process, and minimax probability machine regression: case study of Brisbane City
Deo, Ravinesh C. and Samui, Pijush. 2017. "Forecasting evaporative loss by least-square support-vector regression and evaluation with genetic programming, Gaussian process, and minimax probability machine regression: case study of Brisbane City." Journal of Hydrologic Engineering. 22 (6), pp. 1-15. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001506Article
Comparative study of hybrid-wavelet artificial intelligence models for monthly groundwater depth forecasting in extreme arid regions, Northwest China
Yu, Haijiao, Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Si, Jianhua and Wu, Min. 2018. "Comparative study of hybrid-wavelet artificial intelligence models for monthly groundwater depth forecasting in extreme arid regions, Northwest China." Water Resources Management. 32 (1), pp. 301-323. https://doi.org/10.1007/s11269-017-1811-6Article
Was the cold European winter of 2009/10 modified by anthropogenic climate change? An attribution study
Christiansen, Bo, Alvarez-Castro, Carmen, Christidis, Nikolaos, Ciavarella, Andrew, Colfescu, Ioana, Cowan, Timothy, Eden, Jonathan, Hauser, Mathias, Hempelmann, Nils, Klehmet, Katharina, Lott, Fraser, Nangini, Cathy, van Oldenborgh, Geert Jan, Orth, Rene, Stott, Peter, Tett, Simon, Vautard, Robert, Wilcox, Laura and Yiou, Pascal. 2018. "Was the cold European winter of 2009/10 modified by anthropogenic climate change? An attribution study." Journal of Climate. 31 (9), pp. 3387-3410. https://doi.org/10.1175/JCLI-D-17-0589.1Article
Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA
Yaseen, Zaher Mundher, Ghareb, Mazen Ismaeel, Ebtehaj, Isa, Bonakdari, Hossein, Siddique, Ridwan, Heddam, Sali, Yusif, Ali A. and Deo, Ravinesh. 2018. "Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA." Water Resources Management. 32 (1), pp. 105-122. https://doi.org/10.1007/s11269-017-1797-0Article
Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements
Yeom, Jong-Min, Deo, Ravinesh, Chun, Junghwa, Hong, Jinkyu, Kim, Dong-Su, Han, Kyung-Soo and Cho, Jaeil. 2017. "Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements." International Journal of Remote Sensing. 38 (23), pp. 7441-7456. https://doi.org/10.1080/01431161.2017.1375573Article
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
Improving fungal disease forecasts in winter wheat: a critical role of intra-day variations of meteorological conditions in the development of Septoria leaf blotch
El Jarroudi, Moussa, Kouadio, Louis, El Jarroudi, Mustapha, Junk, Jurgen, Bock, Clive, Diouf, Abdoul Aziz and Delfosse, Philippe. 2017. "Improving fungal disease forecasts in winter wheat: a critical role of intra-day variations of meteorological conditions in the development of Septoria leaf blotch." Field Crops Research. 213, pp. 12-20. https://doi.org/10.1016/j.fcr.2017.07.012Article
Mapping heatwave vulnerability in Korea
Kim, Do-Woo, Deo, Ravinesh C., Lee, Jong-Seol and Yeom, Jong-Min. 2017. "Mapping heatwave vulnerability in Korea." Natural Hazards. 89 (1), pp. 35-55. https://doi.org/10.1007/s11069-017-2951-yArticle
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
Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle
Deo, Ravinesh C., Downs, Nathan, Parisi, Alfio V., Adamowski, Jan F. and Quilty, John M.. 2017. "Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle." Environmental Research. 155, pp. 141-166. https://doi.org/10.1016/j.envres.2017.01.035Article
Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland
Deo, Ravinesh C. and Sahin, Mehmet. 2017. "Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland." Renewable and Sustainable Energy Reviews. 72, pp. 828-848. https://doi.org/10.1016/j.rser.2017.01.114Article
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
Elevated ozone alters the plume structure of an important floral volatile organic compound (α-terpinene): a detailed mapping at temporal and spatial scales relevant to insects
Girling, R.D., Hayden, P., Langford, B., Mullinger, N., Nemitz, E., Pfrang, C., Robins, A. and Touhami, D.. 2018. "Elevated ozone alters the plume structure of an important floral volatile organic compound (α-terpinene): a detailed mapping at temporal and spatial scales relevant to insects ." International Society of Chemical Ecology Annual Meeting 2018. Budapest, Hungary 12 - 18 Aug 2018 Hungary.Presentation
Study of the termination of two acrylonitrile radicals and infrared spectrum
Li, X., Yang, M.-S., Xu, C., Song, P-A., Chen, L., Du, H.-C. and Wang, Y.. 2014. "Study of the termination of two acrylonitrile radicals and infrared spectrum." Spectroscopy and Spectral Analysis. 34 (9), pp. 2331-2336. https://doi.org/10.3964/j.issn.1000-0593(2014)09-2331-06Article
Dual calibrated dosimeter for simultaneous measurements of erythemal and vitamin D effective solar ultraviolet radiation
Wainwright, L., Parisi, A. V. and Downs, N.. 2016. "Dual calibrated dosimeter for simultaneous measurements of erythemal and vitamin D effective solar ultraviolet radiation." Journal of Photochemistry and Photobiology, B: Biology. 157, pp. 15-21. https://doi.org/10.1016/j.jphotobiol.2016.02.003Article
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
A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
Deo, Ravinesh C., Wen, Xiaohu and Feng, Qi. 2016. "A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset." Applied Energy. 168, pp. 568-593. https://doi.org/10.1016/j.apenergy.2016.01.130Article
Queensland Cloud Seeding Research Program - QCSRP
Craig, Ian and Stone, Roger. 2008. "Queensland Cloud Seeding Research Program - QCSRP." USQ Research Showcase (2008). Toowoomba, Australia 05 Nov 2008Poster
Concurrent evaluation of personal damaging and beneficial UV exposures over an extended period
Wainwright, L. K., Parisi, A. V. and Downs, N. J.. 2017. "Concurrent evaluation of personal damaging and beneficial UV exposures over an extended period." Journal of Photochemistry and Photobiology, B: Biology. 170, pp. 188-196. https://doi.org/10.1016/j.jphotobiol.2017.04.013Article
Investigation of unstabilized polyvinyl chloride (PVC) for use as a long-term UV dosimeter: preliminary results
Amar, Abdurazaq and Parisi, Alfio V.. 2012. "Investigation of unstabilized polyvinyl chloride (PVC) for use as a long-term UV dosimeter: preliminary results." 37th Annual Conference of the Australasian Radiation Protection Society (ARPS 2012): Radiation Safety: Bridging the Gap. Sydney, Australia 14 - 17 Oct 2012 Hobart, Australia.Presentation
Comparison of GOME-2 UVA satellite data to ground-based spectroradiometer measurements at a subtropical site
Parisi, Alfio V., Downs, Nathan, Turner, Joanna and King, Rachel. 2017. "Comparison of GOME-2 UVA satellite data to ground-based spectroradiometer measurements at a subtropical site." IEEE Transactions on Geoscience and Remote Sensing. 55 (6), pp. 3145-3149. https://doi.org/10.1109/TGRS.2017.2662714Article
Joy’s Law, Anti-Hale classifications, and the evolution of emerging sunspot regions
McClintock, Bruce H.. 2016. Joy’s Law, Anti-Hale classifications, and the evolution of emerging sunspot regions. PhD Thesis Doctor of Philosophy. University of Southern Queensland.PhD Thesis
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
Reducing the amount of required propane refrigerant in the condenser of a commercial air-conditioner by increasing the inlet temperature
Tangalajuk Siang, Jeri and Sharifian, Ahmad. 2012. "Reducing the amount of required propane refrigerant in the condenser of a commercial air-conditioner by increasing the inlet temperature." 2012 Southern Regional Engineering Conference (SREC 2012). Toowoomba, Australia 01 Sep 2012 Canberra, Australia.Paper
Global meteorological influences on the record UK rainfall of winter 2013–14
Knight, Jeff R., Maidens, Anna, Watson, Peter A. G., Andrews, Martin, Belcher, Stephen, Brunet, Gilbert, Fereday, David, Folland, Chris K., Scaife, Adam A. and Slingo, Julia. 2017. "Global meteorological influences on the record UK rainfall of winter 2013–14." Environmental Research Letters. 12 (7). https://doi.org/10.1088/1748-9326/aa693cArticle
Geochemical processes controlling mobilization of arsenic and trace elements in shallow aquifers in mining regions, Bolivian Altiplano
Ramos Ramos, O. E., Quino, I., Quintanilla, J., Bhattacharya, P. and Bundschuh, J.. 2014. "Geochemical processes controlling mobilization of arsenic and trace elements in shallow aquifers in mining regions, Bolivian Altiplano." Litter, Marta I., Quici, Natalia and Meichtry, J. Martin (ed.) 5th International Congress on Arsenic in the Environment (AS 2014): One Century of the Discovery of Arsenicosis in Latin America (1914-2014). Buenos Aires, Argentina 11 - 16 May 2014 Leiden, Netherlands.Paper
Developing a viable concept for sustainable arsenic removal from groundwater in remote area: findings of pilot trials in rural Bihar, India
Schmidt, S., Herrmann, M., Gukelberger, E., Fiedler, F., Grossmann, B., Deowan, S. A., Hoinkis, J., Ghosh, S. A., Chatterjee, D. and Bundschuh, J.. 2014. "Developing a viable concept for sustainable arsenic removal from groundwater in remote area: findings of pilot trials in rural Bihar, India." Litter, Marta I., Quici, Natalia and Meichtry, J. Martin (ed.) 5th International Congress on Arsenic in the Environment (AS 2014): One Century of the Discovery of Arsenicosis in Latin America (1914-2014). Buenos Aires, Argentina 11 - 16 May 2014 Leiden, Netherlands. https://doi.org/10.1201/b16767-290Paper
Tectonic-sourced groundwater arsenic in Andean foreland of Argentina: insight from flow path modeling
Mukherjee, A., Raychowdhury, N., Bhattacharya, P., Bundschuh, J. and Johannesson, K.. 2014. "Tectonic-sourced groundwater arsenic in Andean foreland of Argentina: insight from flow path modeling." Litter, Marta I., Quici, Natalia and Meichtry, Martin (ed.) 5th International Congress on Arsenic in the Environment (AS 2014): One Century of the Discovery of Arsenicosis in Latin America (1914-2014). Buenos Aires, Argentina 11 - 16 May 2014 Leiden, Netherlands.Paper
Small-scale membrane-based desalinators: developing a viable concept for sustainable arsenic removal from groundwater
Hoinkis, Jan, Deowan, S. A., Herrmann, M., Schmidt, S., Gukelberger, E., Fiedler, F., Grossmann, B., Ghosh, A. K., Chatterjee, D. and Bundschuh, J.. 2014. "Small-scale membrane-based desalinators: developing a viable concept for sustainable arsenic removal from groundwater ." Litter, Marta I., Quici, Natalia and Meichtry, Martin (ed.) 5th International Congress on Arsenic in the Environment (AS 2014): One Century of the Discovery of Arsenicosis in Latin America (1914-2014). Buenos Aires, Argentina 11 - 16 May 2014 Leiden, Netherlands.Paper
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