37. Earth Sciences
| Title | 37. Earth Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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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
Apan, Armando A., Muhury, Newton, 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
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
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
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
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
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
Assessment and Prediction of Sea Level Trend in the South Pacific Region
Raj, Nawin, Gharineiat, Zahra, Ahmed, Abul Abrar Masrur and Stepanyants, Yury. 2022. "Assessment and Prediction of Sea Level Trend in the South Pacific Region." Remote Sensing. 14 (4), pp. 1-25. https://doi.org/10.3390/rs14040986Article
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
Spatiotemporal water dynamic modelling of Ramsar-listed lakes on the Victorian Volcanic Plains using Landsat, ICESat-2 and airborne LiDAR data
Zhang, Zhenyu, Liu, Xiaoye and Wright, Wendy. 2022. "Spatiotemporal water dynamic modelling of Ramsar-listed lakes on the Victorian Volcanic Plains using Landsat, ICESat-2 and airborne LiDAR data." Ecological Informatics. 71, pp. 1-15. https://doi.org/10.1016/j.ecoinf.2022.101789Article
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
Dynamics of internal envelope solitons in a rotating fluid of a variable depth
Stepanyants, Yury. 2019. "Dynamics of internal envelope solitons in a rotating fluid of a variable depth." Fluids. 4 (1), pp. 1-12. https://doi.org/10.3390/fluids4010056Article
Modulation property of flexural-gravity waves on a water surface covered by a compressed ice sheet
Slunyaev, A. V. and Stepanyants, Y. A.. 2022. "Modulation property of flexural-gravity waves on a water surface covered by a compressed ice sheet." Physics of Fluids. 34, pp. 1-17. https://doi.org/10.1063/5.0100179Article
Calibrating APSIM for forage sorghum using remote sensing and field data under sub-optimal growth conditions
Della Nave, Facundo N., Ojeda, Jonathan J., Irisarri, J. Gonzalo N., Pembleton, Keith, Oyarzabal, Mariano and Oesterheld, Martin. 2022. "Calibrating APSIM for forage sorghum using remote sensing and field data under sub-optimal growth conditions." Agricultural Systems. 201, pp. 1-14. https://doi.org/10.1016/j.agsy.2022.103459Article
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
Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River
Raheli, Bahare, Aalami, Mohammad Taghi, El-Shafie, Ahmed, Ghorbani, Mohammad Ali and Deo, Ravinesh C.. 2017. "Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River." Environmental Earth Sciences. 76 (14). https://doi.org/10.1007/s12665-017-6842-zArticle
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
Arsenic in Latin America: New findings on source, mobilization and mobility in human environments in 20 countries based on decadal research 2010-2020
Bundschuh, Jochen, Armienta, Maria Aurora, Morales-Simfors, Nury, Alam, Mohammad Ayaz, Lopez, Dina L., Quezada, Valeria Delgado, Dietrich, Sebastian, Schneider, Jerusa, Tapia, Joseline, Sracek, Ondra, Castillo, Elianna, Parra, Lue-Meru Marco, Espinoza, Maximina Altamirano, Guilherme, Luiz Roberto Guimaraes, Sosa, Numa Nahuel, Niazi, Nabeel Khan, Tomaszewska, Barbara, Allende, Katherine Lizama, Bieger, Klaus, ..., Ahmad, Arslan. 2021. "Arsenic in Latin America: New findings on source, mobilization and mobility in human environments in 20 countries based on decadal research 2010-2020." Critical Reviews in Environmental Science and Technology. 51 (16), pp. 1727-1865. https://doi.org/10.1080/10643389.2020.1770527Article
The value of seasonal climate forecasting in agricultural decision-making
Reardon-Smith, Kate and An-Vo, Duc-Anh. 2022. "The value of seasonal climate forecasting in agricultural decision-making." African Technical Workshop on Crop Models and coupling with Numerical Weather and Seasonal to Sub-seasonal Forecasts. Niamey, Niger 13 - 15 Jun 2022Presentation
Causes of irregularities in trends of global mean surface temperature since the late 19th century
Folland, Chris K., Boucher, Olivier, Colman, Andrew and Parker, David E.. 2018. "Causes of irregularities in trends of global mean surface temperature since the late 19th century." Science Advances. 4 (6), pp. 1-16. https://doi.org/10.1126/sciadv.aao5297Article
Livelihood Cycle and Vulnerability of Rural Households to Climate Change and Hazards in Bangladesh
Alam, G. M. Monirul. 2017. "Livelihood Cycle and Vulnerability of Rural Households to Climate Change and Hazards in Bangladesh." Environmental Management (New York): an international journal for decision-makers, scientists and environmental auditors. 59 (5), pp. 777-791. https://doi.org/10.1007/s00267-017-0826-3Article
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