37. Earth Sciences
| Title | 37. Earth Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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Measuring and mapping excessive linear soil erosion features: rills and gullies
Kiani-Harchegani, Mahboobeh, Najafi, Saeed and Ghahramani, Afshin. 2021. "Measuring and mapping excessive linear soil erosion features: rills and gullies." Rodrigo-Comino, Jesus (ed.) Precipitation: earth surface responses and processes. Netherlands. Elsevier. pp. 419-438Edited book (chapter)
Modelling future spatial distribution of peanut crops in Australia under climate change scenarios
Haerani, Haerani, Apan, Armando, Nguyen-Huy, Thong and Basnet, Badri. 2023. "Modelling future spatial distribution of peanut crops in Australia under climate change scenarios." Geo-spatial Information Science. https://doi.org/10.1080/10095020.2022.2155255Article
Variability and long-term change in Australian monsoon rainfall: A review
Heidemann, Hanna, Cowan, Tim, Henley, Benjamin J., Ribbe, Joachim, Freund, Mandy and Power, Scott. 2023. "Variability and long-term change in Australian monsoon rainfall: A review ." Wiley Interdisciplinary Reviews: WIREs Climate Change. 14 (3). https://doi.org/10.1002/wcc.823Article
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
A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia
Paudyal, Dev Raj, Pakdel, Hadis, Chadalavada, Sreeni, Alam, Md Jahangir and Vazifedoust, Majid. 2023. "A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia." ISPRS International Journal of Geo-Information. 12 (9). https://doi.org/10.3390/ijgi12090370Article
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
Interannual and decadal variability of Australian monsoon rainfall and variability in the Pacific Ocean
Heidemann, Hanna. 2023. Interannual and decadal variability of Australian monsoon rainfall and variability in the Pacific Ocean. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z0140PhD by Publication
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
Advancements to the Generalised Clay Disaggregation Model
Redmond, Thomas William. 2023. Advancements to the Generalised Clay Disaggregation Model. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/yyw26PhD Thesis
Prediction of Mean Sea Level with GNSS-VLM Correction Using a Hybrid Deep Learning Model in Australia
Raj, Nawin and Brown, Jason. 2023. "Prediction of Mean Sea Level with GNSS-VLM Correction Using a Hybrid Deep Learning Model in Australia." Remote Sensing. 15 (11).Article
Climatology and composite evolution of flash drought over Australia and its vegetation impacts
Nguyen, Hanh, Wheeler, Mattew C., Otkin, Jason A., Nguyen-Huy, Thong and Cowan, Timothy. 2023. "Climatology and composite evolution of flash drought over Australia and its vegetation impacts." Journal of Hydrometeorology. 24 (6), p. 1087–1101. https://doi.org/10.1175/JHM-D-22-0033.1Article
Analysis of internal solitary waves in the Gulf of Oman and sources responsible for their generation
Koohestani, Kamran, Stepanyants, Yury and Allahdadi, Mohammad Nabi. 2023. "Analysis of internal solitary waves in the Gulf of Oman and sources responsible for their generation." Water: an open access journal. 15 (4), pp. 1-28. https://doi.org/10.3390/w15040746Article
Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm
Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Ghahramani, Afshin, Ghimire, Sujan and Raj, Nawin. 2021. "Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm." IEEE Access. 9, pp. 166695-166708. https://doi.org/10.1109/ACCESS.2021.3135362Article
Impacts of Low-Frequency Internal Climate Variability and Greenhouse Warming on El Nino–Southern Oscillation
Ng, Benjamin, Cai, Wenju, Cowan, Tim and Bi, Daohua. 2021. "Impacts of Low-Frequency Internal Climate Variability and Greenhouse Warming on El Nino–Southern Oscillation." Journal of Climate. 34 (6), pp. 2205-2218. https://doi.org/10.1175/JCLI-D-20-0232.1Article
Interaction of internal solitary waves with long periodic waves within the rotation modified Benjamin-Ono equation
Grimshaw, R. H. J., Smyth, N. F. and Stepanyants, Y. A.. 2021. "Interaction of internal solitary waves with long periodic waves within the rotation modified Benjamin-Ono equation." Physica D: Nonlinear Phenomena. 419, pp. 1-10. https://doi.org/10.1016/j.physd.2021.132867Article
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 Floodplain Vegetation Response to Groundwater Variability Using the ArcSWAT Hydrological Model, MODIS NDVI Data, and Machine Learning
Muhury, Newton, Apan, Armando A., Maraseni, Tek N. and Ayele, Gebiaw T.. 2022. "Modelling Floodplain Vegetation Response to Groundwater Variability Using the ArcSWAT Hydrological Model, MODIS NDVI Data, and Machine Learning." Land. 11 (12), pp. 1-23. https://doi.org/10.3390/land11122154Article
Pattern recognition describing spatio-temporal drivers of catchment classification for water quality
O'Sullivan, Cherie M., Ghahramani, Afshin, Deo, Ravinesh C. and Pembleton, Keith G.. 2023. "Pattern recognition describing spatio-temporal drivers of catchment classification for water quality." Science of the Total Environment. 861, pp. 1-42. https://doi.org/10.1016/j.scitotenv.2022.160240Article
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
Sea Level Variation around Australia and Its Relation to Climate Indices
Agha Karimi, Armin, Deng, Xiaoli and Andersen, Ole Baltazar. 2019. "Sea Level Variation around Australia and Its Relation to Climate Indices." Marine Geodesy. 42 (5), pp. 469-489. https://doi.org/10.1080/01490419.2019.1629131Article
Estimating sea level rise around Australia using a new approach to account for low frequency climate signals
Agha Karimi, Armin and Deng, Xiaoli. 2020. "Estimating sea level rise around Australia using a new approach to account for low frequency climate signals." Advances in Space Research. 65 (10), pp. 2324-2338. https://doi.org/10.1016/j.asr.2020.02.002Article
Internal Variability Role on Estimating Sea Level Acceleration in Fremantle Tide Gauge Station
Agha Karimi, Armin. 2021. "Internal Variability Role on Estimating Sea Level Acceleration in Fremantle Tide Gauge Station." Frontiers in Earth Science. 9, pp. 1-8. https://doi.org/10.3389/feart.2021.664947Article
Multidecadal Sea Level Variability in the Baltic Sea and Its Impact on Acceleration Estimations
Agha Karimi, Armin, Bagherbandi, Mohammad and Horemuz, Milan. 2021. "Multidecadal Sea Level Variability in the Baltic Sea and Its Impact on Acceleration Estimations." Frontiers in Marine Science. 8, pp. 1-12. https://doi.org/10.3389/fmars.2021.702512Article
Mean sea surface and mean dynamic topography determination from Cryosat-2 data around Australia
Agha Karimi, Armin, Andersen, Ole Baltazar and Deng, Xiaoli. 2021. "Mean sea surface and mean dynamic topography determination from Cryosat-2 data around Australia." Advances in Space Research. 68 (2), pp. 1073-1089. https://doi.org/10.1016/j.asr.2020.01.009Article
Barystatic and steric sea level variations in the Baltic Sea and implications of water exchange with the North Sea in the satellite era
Agha Karimi, Armin, Ghobadi-Far, Khosro and Passaro, Marcello. 2022. "Barystatic and steric sea level variations in the Baltic Sea and implications of water exchange with the North Sea in the satellite era." Frontiers in Marine Science. 9, pp. 1-8. https://doi.org/10.3389/fmars.2022.963564Article
Groundwater-surface water interactions at wetland interface: Advancement in catchment system modeling
Rafiei, Vahid, Nejadhashemi, A. Pouyan, Mushtaq, Shahbaz, Bailey, Ryan T. and An-Vo, Duc-Anh. 2022. "Groundwater-surface water interactions at wetland interface: Advancement in catchment system modeling." Environmental Modelling and Software. 152, pp. 1-15. https://doi.org/10.1016/j.envsoft.2022.105407Article
Delineating Groundwater Recharge Potential through Remote Sensing and Geographical Information Systems
Maqsoom, Ahsen, Aslam, Bilal, Khalid, Nauman, Ullah, Fahim, Anysz, Hubert, Almaliki, Abdulrazak H., Almaliki, Abdulrhman A. and Hussein, Enas E.. 2022. "Delineating Groundwater Recharge Potential through Remote Sensing and Geographical Information Systems." Water: an open access journal. 14 (11), pp. 1-29. https://doi.org/10.3390/w14111824Article
Suspended sediment load modeling using advanced hybrid rotation forest based elastic network approach
Khosravi, Khabat, Golkarian, Ali, Melesse, Assefa M. and Deo, Ravinesh C.. 2022. "Suspended sediment load modeling using advanced hybrid rotation forest based elastic network approach." Journal of Hydrology. 610, pp. 1-14. https://doi.org/10.1016/j.jhydrol.2022.127963Article
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
Complex Dynamics of Solitons in Rotating Fluids
Ostrovsky, Lev A. and Stepanyants, Yury A.. 2022. "Complex Dynamics of Solitons in Rotating Fluids." Volchenkov, Dimitri and Machado, J. A. Tenreiro (ed.) Mathematical Methods in Modern Complexity Science. Switzerland. Springer. pp. 63-78Edited book (chapter)
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
Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network
Beringer, Jason, Moore, Caitlin E., Cleverly, Jamie, Campbell, David I., Cleugh, Helen, De Kauwe, Martin G., Kirschbaum, Miko U. F., Griebel, Anne, Grover, Sam, Huete, Alfredo, Hutley, Lindsay B., Laubach, Johannes, Van Niel, Tom, Arndt, Stefan K., Bennett, Alison C., Cernusak, Lucas A., Eamus, Derek, Ewenz, Cacilia M., Goodrich, Jordan P., ..., Woodgate, William. 2022. "Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network." Global Change Biology. 28 (11), pp. 3489-3514. https://doi.org/10.1111/gcb.16141Article
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