3701. Atmospheric sciences
Title | 3701. Atmospheric sciences |
---|---|
Parent | 37. Earth Sciences |
Latest research outputs
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An advanced deep learning predictive model for air quality index forecasting with remote satellite-derived hydro-climatological variables
Ahmed, Abul Abrar Masrur, Jui, S. Janifer Jabin, Sharma, Ekta, Ahmed, Mohammad Hafez, Raj, Nawin and Bose, Aditi. 2023. "An advanced deep learning predictive model for air quality index forecasting with remote satellite-derived hydro-climatological variables." Science of the Total Environment. 906. https://doi.org/10.1016/j.scitotenv.2023.167234Article
A drought monitor for Australia
Guillory, Laura, Pudmenzky, Christa, Nguyen-Huy, Thong, Cobon, David and Stone, Roger. 2023. "A drought monitor for Australia." Environmental Modelling and Software. https://doi.org/10.1016/j.envsoft.2023.105852Article
Mapping the effects of ozone pollution and mixing on floral odour plumes and their impact on plant-pollinator interactions
Langford, Ben, Ryalls, James M.W., Mullinger, Neil J., Hayden, Paul, Nemitz, Eiko, Pfrang, Christian, Robins, Alan, Touhami, Dalila, Bromfield, Lisa M. and Girling, Robbie D.. 2023. "Mapping the effects of ozone pollution and mixing on floral odour plumes and their impact on plant-pollinator interactions." Environmental Pollution. 336. https://doi.org/10.1016/j.envpol.2023.122336Article
Madden-Julian Oscillation Impacts on Australian Temperatures and Extremes
Marshall, Andrew G., Wheeler, Mathew C. and Cowan, Tim. 2023. "Madden-Julian Oscillation Impacts on Australian Temperatures and Extremes." Journal of Climate. 36 (2), pp. 335-357. https://doi.org/10.1175/JCLI-D-22-0413.1Article
Flash flood-risk areas zoning using integration of decision-making trial and evaluation laboratory, GIS-based analytic network process and satellite-derived information
Taherizadeh, Mehrnoosh, Niknam, Arman, Nguyen-Huy, Thong, Mezősi, Gábor and Sarli, Reza. 2023. "Flash flood-risk areas zoning using integration of decision-making trial and evaluation laboratory, GIS-based analytic network process and satellite-derived information." Natural Hazards. 118 (3), p. 2309–2335. https://doi.org/10.1007/s11069-023-06089-5Article
Revealing the effect of an industrial flash flood on vegetation area: a case study of Khusheh Mehr in Maragheh-Bonab Plain, Iran
Taherizadeh, Mehrnoosh, Khushemehr, Javid Hojabri, Niknam, Arman, Nguyen-Huy, Thong and Mezősi, Gábor. 2023. "Revealing the effect of an industrial flash flood on vegetation area: a case study of Khusheh Mehr in Maragheh-Bonab Plain, Iran." Remote Sensing Applications: Society and Environment. 32. https://doi.org/10.1016/j.rsase.2023.101016Article
Investigating the effects of diesel exhaust and flower color on flower visitation by free-flying honey bees
Lusebrink, I., Girling, R. D., Dobrindt, L., Jackson, C. W., Newman, T. A. and Poppy, G. M.. 2023. "Investigating the effects of diesel exhaust and flower color on flower visitation by free-flying honey bees." Arthropod-Plant Interactions. 17 (1), pp. 11-17. https://doi.org/10.1007/s11829-022-09941-wArticle
An Evaluation of the Performance of the Twentieth Century Reanalysis Version 3
Slivinski, L. C., Compo, G. P., Sardeshmukh, P. D., Whitaker, J. S., McColl, C., Allan, R., Brohan, P., Yin, X., Smith, C. A., Spencer, L. J., Vose, R. S., Rohrer, M., Conroy, R. P., Schuster, D. C., Kennedy, J. J., Ashcroft, L., Bronnimann, S., Brunet, M., Camuffo, D., ..., Wyszynski, P.. 2021. "An Evaluation of the Performance of the Twentieth Century Reanalysis Version 3." Journal of Climate. 34 (4), pp. 1417-1438. https://doi.org/10.1175/JCLI-D-20-0505.1Article
Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra and Parisi, Alfio V.. 2019. "Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm." AMSI Optimise 2019. Perth, Australia 17 - 21 Jun 2019 Perth, Australia.Poster
Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long short-term memory network
Deo, Ravinesh C., Grant, Richard H., Webb, Ann, Ghimire, Sujan, Igoe, Damien P., Downs, Nathan J., Al-Musaylh, Mohanad S., Parisi, Alfio V. and Soar, Jeffrey. 2022. "Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long short-term memory network." Stochastic Environmental Research and Risk Assessment. 36, p. 3183–3220. https://doi.org/10.1007/s00477-022-02188-0Article
Machine learning regression and classification methods for fog events prediction
Castillo-Boton, C., Casillas-Perez, D., Casanova-Mateo, C., Ghimire, S., Cerro-Prada, E., Gutierrez, P. A., Deo, R. C. and Salcedo-sanz, S.. 2022. "Machine learning regression and classification methods for fog events prediction." Atmospheric Research. 272, pp. 1-23. https://doi.org/10.1016/j.atmosres.2022.106157Article
Advances in the Subseasonal Prediction of Extreme Events: Relevant Case Studies across the Globe
Domeisen, Daniela I. V., White, Christopher J., Afargan-Gerstman, Hilla, Munoz, Angel G., Janiga, Matthew A., Vitart, Frederic, Wulff, C. Ole, Antoine, Salome, Ardilouze, Constantin, Batte, Lauriane, Bloomfield, Hannah C., Brayshaw, David J., Camargo, Suzana J., Charlton-Perez, Andrew, Collins, Dan, Cowan, Tim, del Mar Chaves, Maria, Ferranti, Laura, Gomez, Rosario, ..., Tian, Di. 2022. "Advances in the Subseasonal Prediction of Extreme Events: Relevant Case Studies across the Globe." Bulletin of the American Meteorological Society. 103 (6), pp. E1473-E1501. https://doi.org/10.1175/BAMS-D-20-0221.1Article
Formalizing Trust in Historical Weather Data
Sieber, Renee, Slonosky, Victoria, Ashcroft, Linden and Pudmenzky, Christa. 2022. "Formalizing Trust in Historical Weather Data." Weather, Climate and Society. 14 (3), pp. 993-1007. https://doi.org/10.1175/WCAS-D-21-0077.1Article
Wet season rainfall onset and flash drought: The case of the northern Australian wet season
Lisonbee, Joel, Ribbe, Joachim, Otkin, Jason A. and Pudmenzky, Christa. 2022. "Wet season rainfall onset and flash drought: The case of the northern Australian wet season." International Journal of Climatology. 42 (12), pp. 6499-6514. https://doi.org/10.1002/joc.7609Article
Multi‑week prediction of livestock chill conditions associated with the northwest Queensland floods of February 2019
Cowan, Tim, Wheeler, Matthew C., de Burgh-Day, Catherine, Nguyen, Hanh and Cobon, David. 2022. "Multi‑week prediction of livestock chill conditions associated with the northwest Queensland floods of February 2019." Scientific Reports. 12 (1), pp. 1-13. https://doi.org/10.1038/s41598-022-09666-zArticle
A satellite-based Standardized Antecedent Precipitation Index (SAPI) for mapping extreme rainfall risk in Myanmar
Nguyen-Huy, Thong, Kath, Jarrod, Nagler, Thomas, Khaung, Ye, Aung, Thee Su Su, Mushtaq, Shahbaz, Marcussen, Torben and Stone, Roger. 2022. "A satellite-based Standardized Antecedent Precipitation Index (SAPI) for mapping extreme rainfall risk in Myanmar." Remote Sensing Applications: Society and Environment. 26, pp. 1-19. https://doi.org/10.1016/j.rsase.2022.100733Article
Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho, Sharma, Ekta and Ali, Mumtaz. 2022. "Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction." Measurement. 202, pp. 1-22. https://doi.org/10.1016/j.measurement.2022.111759Article
Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System
Prasad, Salvin S., Deo, Ravinesh C., Downs, Nathan, Igoe, Damien, Parisi, Alfio V. and Soar, Jeffrey. 2022. "Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System." IEEE Access. 10, pp. 24704-24720. https://doi.org/10.1109/ACCESS.2022.3153475Article
Air quality monitoring based on chemical and meteorological drivers: Application of a novel data filtering-based hybridized deep learning model
Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Karbasi, Masoud, Sharma, Ekta and Yaseen, Zaher Mundher. 2022. "Air quality monitoring based on chemical and meteorological drivers: Application of a novel data filtering-based hybridized deep learning model." Journal of Cleaner Production. 374, pp. 1-17. https://doi.org/10.1016/j.jclepro.2022.134011Article
Copula-based statistical modelling of synoptic-scale climate indices for quantifying and managing agricultural risks in Australia
Nguyen-Huy, Thong. 2020. "Copula-based statistical modelling of synoptic-scale climate indices for quantifying and managing agricultural risks in Australia." Bulletin of the Australian Mathematical Society. 101 (1), pp. 166-169. https://doi.org/10.1017/S0004972719001217Article
Drought Outlook Products Review
Cobon, David, Nguyen-Huy, Thong and Reardon-Smith, Kate. 2019. Drought Outlook Products Review. Toowoomba, Australia. University of Southern Queensland.Project report
Improving the seasonal prediction of Northern Australian rainfall onset to help with grazing management decisions
Cowan, Tim, Stone, Roger, Wheeler, Matthew C. and Griffiths, Morwenna. 2020. "Improving the seasonal prediction of Northern Australian rainfall onset to help with grazing management decisions." Climate Services. 19, pp. 1-14. https://doi.org/10.1016/j.cliser.2020.100182Article
The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River
Diop, Lamine, Bodian, Ansoumana, Djaman, Koffi, Yaseen, Zaher Mundher, Deo, Ravinesh C., El-Shafie, Ahmed and Brown, Larry C.. 2018. "The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River." Environmental Earth Sciences. 77 (5). https://doi.org/10.1007/s1266Article
Methodology for producing the Drought Monitor
Pudmenzky, Christa, Guillory, Laura, Cobon, David H. and Nguyen-Huy, Thong. 2020. Methodology for producing the Drought Monitor. Toowoomba, Queensland. University of Southern Queensland.Other
Seven potential sources of arsenic pollution in Latin America and their environmental and health impacts
Bundschuh, Jochen, Schneider, Jerusa, Alam, Mohammad Ayaz, Niazi, Nabeel Khan, Herath, Indika, Parvez, Faruque, Tomaszewska, Barbara, Guilherme, Luiz Roberto Guimaraes, Maity, Jyoti Prakash, Lopez, Dina L., Cirelli, Alicia Fernandez, Perez-Carrera, Alejo, Morales-Simfors, Nury, Alarcon-Herrera, Maria Teresa, Baisch, Paulo, Mohan, Dinesh and Mukherjee, Abhijit. 2021. "Seven potential sources of arsenic pollution in Latin America and their environmental and health impacts." Science of the Total Environment. 780, pp. 1-29. https://doi.org/10.1016/j.scitotenv.2021.146274Article
Skill of ACCESS-S2 in predicting rainfall bursts over Australia
Cowan, Tim, Wheeler, Matthew C., Hudson, Debra, de Burgh-Day, Catherine, Griffiths, Morwenna and Young, Griffith. 2022. Skill of ACCESS-S2 in predicting rainfall bursts over Australia. Australia. Bureau of Meteorology.Technical report
Thiolated arsenic in natural systems: What is current, what is new and what needs to be known
Herath, Indika, Vithanage, Meththika, Seneweera, Saman and Bundschuh, Jochen. 2018. "Thiolated arsenic in natural systems: What is current, what is new and what needs to be known." Environment International. 115, pp. 370-386. https://doi.org/10.1016/j.envint.2018.03.027Article
Interaction of arsenic with biochar in soil and water: A critical review
Vithanage, Meththika, Herath, Indika, Joseph, Stephen, Bundschuh, Jochen, Bolan, Nanthi, Ok, Yong Sik, Kirkham, M. B. and Rinklebe, Jorg. 2017. "Interaction of arsenic with biochar in soil and water: A critical review." Carbon. 113, pp. 219-230. https://doi.org/10.1016/j.carbon.2016.11.032Article
Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots
Sharma, Ekta, Deo, Ravinesh C., Soar, Jeffrey, Prasad, Ramendra, Parisi, Alfio V. and Raj, Nawin. 2022. "Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots." Atmospheric Environment. 279, pp. 1-13. https://doi.org/10.1016/j.atmosenv.2022.119111Article
Subseasonal to Seasonal Climate Forecasts Provide the Backbone of a Near-Real-Time Event Explainer Service
Hope, Pandora, Zhao, Mei, Abhik, S., Tolhurst, Gen, McKay, Roseanna C., Rauniyar, Surendra P., Bettio, Lynette, Ramchurn, Avijeet, Lim, Eun-Pa, Pepler, Acacia S, Cowan, Tim and Watkins, Andrew B.. 2022. "Subseasonal to Seasonal Climate Forecasts Provide the Backbone of a Near-Real-Time Event Explainer Service." Bulletin of the American Meteorological Society. 103 (3), pp. S7-S13. https://doi.org/10.1175/BAMS-D-21-0253.1Article
Modelling secondary organic aerosol formation: from chemical mechanistic modelling to empirical modelling
Singh-Peterson, Lila. 2007. Modelling secondary organic aerosol formation: from chemical mechanistic modelling to empirical modelling. PhD Thesis Doctor of Philosophy. University of New South Wales.PhD Thesis
Severe storms inferred from 150 years of sub-daily pressure observations along Victoria’s 'Shipwreck Coast'
Alexander, Lisa V. and Power, Scott. 2009. "Severe storms inferred from 150 years of sub-daily pressure observations along Victoria’s 'Shipwreck Coast'." Australian Meteorological and Oceanographic Journal. 58 (2), pp. 129-133. https://doi.org/10.22499/2.5802.005Article
Summer peak, winter minimum, and growth in the demand for online weather services in Australia
Power, Scott B. and Delage, Francois. 2011. "Summer peak, winter minimum, and growth in the demand for online weather services in Australia." Bulletin of the American Meteorological Society. 92 (10), pp. 1275-1277. https://doi.org/10.1175/2011BAMS3113.1Article
Field-scale effects of elevated ozone and diesel exhaust emissions on insect pollination and natural enemy recruitment.
Ryalls, J., Mullinger, N.J., Langford, B., Nemitz, E., Pfrang, C. and Girling, R.. 2022. "Field-scale effects of elevated ozone and diesel exhaust emissions on insect pollination and natural enemy recruitment. " 26th International Congress of Entomology (ICE 2022). Helsinki, Finland 17 - 22 Jul 2022 Finland.Poster
Ozone Mitigates the Adverse Effects of Diesel Exhaust Pollutants on Ground-Active Invertebrates in Wheat
Ryalls, James M. W., Staton, Tom, Mullinger, Neil J., Bromfield, Lisa M., Langford, Ben, Pfrang, Christian, Nemitz, Eiko, Blande, James D. and Girling, Robbie D.. 2022. "Ozone Mitigates the Adverse Effects of Diesel Exhaust Pollutants on Ground-Active Invertebrates in Wheat." Frontiers in Ecology and Evolution. 10. https://doi.org/10.3389/fevo.2022.833088Article
Anthropogenic air pollutants reduce insect-mediated pollination services
Ryalls, James M.W., Langford, Ben, Mullinger, Neil J., Bromfield, Lisa M., Nemitz, Eiko, Pfrang, Christian and Girling, Robbie D.. 2022. "Anthropogenic air pollutants reduce insect-mediated pollination services." Environmental Pollution. 297, p. 118847. https://doi.org/10.1016/j.envpol.2022.118847Article
Concurrent anthropogenic air pollutants enhance recruitment of a specialist parasitoid
Ryalls,James M. W., Bromfield, Lisa M., Bell, Luke, Jasper, Jake, Mullinger, Neil J., Blande, James D. and Girling, Robbie D.. 2022. "Concurrent anthropogenic air pollutants enhance recruitment of a specialist parasitoid." Proceedings of the Royal Society B: Biological Sciences. 289 (1986). https://doi.org/10.1098/rspb.2022.1692Article
Repeated short-term exposure to diesel exhaust reduces honey bee colony fitness
Reitmayer, Christine M., Girling, Robbie D., Jackson, Christopher W. and Newman, Tracey A.. 2022. "Repeated short-term exposure to diesel exhaust reduces honey bee colony fitness." Environmental Pollution. 300. https://doi.org/10.1016/j.envpol.2022.118934Article
Editorial: Impacts of pollution on volatile-mediated interactions
Li, Tao and Girling, Robbie D.. 2022. "Editorial: Impacts of pollution on volatile-mediated interactions." Frontiers in Ecology and Evolution. 10. https://doi.org/10.3389/fevo.2022.973983Editorial
Characterising volatile organic compound emission changes in native black poplar under elevated carbon-dioxide (CO2), elevated ozone (O3) and herbivory
James, Laura, Pfrang, Christian, Girling, Robbie, Hayward, Scott and MacKenzie, Rob. 2022. "Characterising volatile organic compound emission changes in native black poplar under elevated carbon-dioxide (CO2), elevated ozone (O3) and herbivory." European Geosciences Union General Assembly 2022 (EGU 2022). Vienna, Austria 23 - 27 May 2022 Austria. https://doi.org/10.5194/egusphere-egu22-4487Presentation