3702. Climate change science
Title | 3702. Climate change science |
---|---|
Parent | 37. Earth Sciences |
Latest research outputs
Sort by Date Title
Summer North Atlantic Oscillation (SNAO) variability on decadal to palaeoclimate time scales
Linderholm, Hans W. and Folland, Chris K.. 2017. "Summer North Atlantic Oscillation (SNAO) variability on decadal to palaeoclimate time scales." Past Global Changes Magazine. 25 (1), pp. 57-60. https://doi.org/10.22498/pages.25.1.57Article
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 Unpublished.Working paper
Applying an Empirical Evaluation to the Governance Legitimacy of Carbon Offset Mechanisms on the Basis of Stakeholder Perceptions
Cadman, Tim. 2013. "Applying an Empirical Evaluation to the Governance Legitimacy of Carbon Offset Mechanisms on the Basis of Stakeholder Perceptions ." Cadman, Tim (ed.) Climate Change and Global Policy Regimes:Towards Institutional Legitimacy. United Kingdom. Palgrave Macmillan. pp. 79-95Edited book (chapter)
Plant responses to increased carbon dioxide
Seneweera, S. and Norton, R. M.. 2011. "Plant responses to increased carbon dioxide." Yadav, Shyam S., Redden, Robert J., Hatfield, Jerry L., Lotze-Campen, Hermann and Hall, Anthony E. (ed.) Crop adaptation to climate change . Chichester, West Sussex. United Kingdom. John Wiley & Sons. pp. 198-217Edited book (chapter)
Risk matrix approach useful in adapting agriculture to climate change
Cobon, David H., Williams, Allyson A. J., Power, Brendan, McRae, David and Davis, Peter. 2016. "Risk matrix approach useful in adapting agriculture to climate change." Climatic Change: an interdisciplinary, international journal devoted to the description, causes and implications of climatic change. 138 (1-2), pp. 173-189. https://doi.org/10.1007/s10584-016-1732-zArticle
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
The Influence of Non-State Actors on Corporate Climate Change Disclosure
Cotter, Julie. 2013. "The Influence of Non-State Actors on Corporate Climate Change Disclosure ." Cadman, Timothy (ed.) Climate Change and Global Policy Regimes:Towards Institutional Legitimacy. United Kingdom. Palgrave Macmillan. pp. 232-247Edited book (chapter)
Model-based learning about climate change with productive failure: preliminary findings
Jacobson, Michael J., Markauskaite, Lina, Kelly, Nick and Stokes, Paul G.. 2012. "Model-based learning about climate change with productive failure: preliminary findings." Tyson, Cynthia A. (ed.) 2012 American Educational Research Association Annual Meeting (AERA 2012). Vancouver, Canada 13 - 17 Apr 2012 Washington, DC. United States.Paper
Projected impact of climate change on hydrological regimes in the Philippines
Tolentino, Pamela Louise M., Poortinga, Ate, Kanamaru, Hideki, Keesstra, Saskia, Maroulis, Jerry, David, Carlos Primo C. and Ritsema, Coen J.. 2016. "Projected impact of climate change on hydrological regimes in the Philippines." PLoS One. 11 (10), pp. 1-14. https://doi.org/10.1371/journal.pone.0163941Article
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
Factors contributing to record-breaking heat waves over the great plains during the 1930s Dust Bowl
Cowan, Tim, Hegerl, Gabriele C., Colfescu, Ioana, Bollasina, Massimo, Purich, Ariaan and Boschat, Ghyslaine. 2017. "Factors contributing to record-breaking heat waves over the great plains during the 1930s Dust Bowl." Journal of Climate. 30 (7), pp. 2437-2461. https://doi.org/10.1175/JCLI-D-16-0436.1Article
getCRUCLdata: use and explore CRU CL v. 2.0 climatology elements in R
Sparks, Adam H.. 2017. getCRUCLdata: use and explore CRU CL v. 2.0 climatology elements in R. https://cran.r-project.org/package=getCRUCLdata. Comprehensive R Archive Network. https://doi.org/10.21105/joss.00230Software
The effectiveness and need for flash flood warning systems in a regional inland city in Australia
Nieland, Carlette and Mushtaq, Shahbaz. 2016. "The effectiveness and need for flash flood warning systems in a regional inland city in Australia." Natural Hazards. 80 (1), pp. 153-171. https://doi.org/10.1007/s11069-015-1962-9Article
Prediction of SPEI using MLR and ANN: a case study for Wilsons Promontory Station in Victoria
Mouatadid, Soukayna, Deo, Ravinesh C. and Adamowski, Jan F.. 2015. "Prediction of SPEI using MLR and ANN: a case study for Wilsons Promontory Station in Victoria." Guerrero, Juan E. (ed.) 2015 IEEE 14th International Conference on Machine Learning and Applications. Miami, United States of America 09 - 11 Dec 2015 United States. https://doi.org/10.1109/ICMLA.2015.87Paper
Statistical downscaling of climate change scenarios of rainfall and temperature over Indira Sagar Canal Command area in Madhya Pradesh, India
Shukla, Rituraj, Deo, Ravinesh and Khare, Deepak. 2015. "Statistical downscaling of climate change scenarios of rainfall and temperature over Indira Sagar Canal Command area in Madhya Pradesh, India." Guerrero, Juan E. (ed.) 2015 IEEE 14th International Conference on Machine Learning and Applications. Miami, United States of America 09 - 11 Dec 2015 USA. https://doi.org/10.1109/ICMLA.2015.75Paper
Robusta coffee model: an integrated model for coffee production at a regional scale
Kouadio, Louis, Stone, Roger, Tixier, Philippe, Mushtaq, Shahbaz and Marcussen, Torben. 2015. "Robusta coffee model: an integrated model for coffee production at a regional scale." Tropical Agriculture Conference 2015: Meeting the Productivity Challenge in the Tropics (TropAg2015). Brisbane, Australia 16 - 18 Nov 2015Poster
Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms
Salcedo-sanz, S., Deo, R. C., Carro-Calvo, L. and Saavedra-Moreno, B.. 2016. "Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms." Theoretical and Applied Climatology. 125 (1-2), pp. 13-25. https://doi.org/10.1007/s00704-015-1480-4Article
Projection of heat wave mortality related to climate change in Korea
Kim, Do-Woo, Deo, Ravinesh C., Chung, Jea-Hak and Lee, Jong-Seol. 2016. "Projection of heat wave mortality related to climate change in Korea." Natural Hazards. 80 (1), pp. 623-637. https://doi.org/10.1007/s11069-015-1987-0Article
Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models
Deo, Ravinesh C., Samui, Pijush and Kim, Dookie. 2016. "Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models." Stochastic Environmental Research and Risk Assessment. 30 (6), pp. 1769-1784. https://doi.org/10.1007/s00477-015-1153-yArticle
A palaeoclimatic rainfall history from Lake Broadwater, southeast Queensland, Australia
Cottrill, D. A., Ribbe, J., Maron, M. and Jacobsen, G.. 2014. "A palaeoclimatic rainfall history from Lake Broadwater, southeast Queensland, Australia." Proceedings of the Royal Society of Queensland. 119, pp. 35-43.Article
Broad scale mapping of vegetation cover across Australia from rainfall and temperature data
Pudmenzky, Christa, King, Rachel and Butler, Harry. 2015. "Broad scale mapping of vegetation cover across Australia from rainfall and temperature data." Journal of Arid Environments. 120, pp. 55-62. https://doi.org/10.1016/j.jaridenv.2015.04.010Article
Prepare the next generation for changes: education programs of climate change adaptation at the University of Southern Queensland
Xu, C. and Ribbe, J.. 2010. "Prepare the next generation for changes: education programs of climate change adaptation at the University of Southern Queensland." Climate Adaptation Futures: Preparing for the Unavoidable Impacts of Climate Change (2010). Gold Coast, Australia 29 Jun - 01 Jul 2010 Brisbane, Australia.Poster
Evidence for link between modelled trends in Antarctic sea ice and underestimated westerly wind changes
Purich, Ariaan, Cai, Wenju, England, Matthew H. and Cowan, Tim. 2016. "Evidence for link between modelled trends in Antarctic sea ice and underestimated westerly wind changes." Nature Communications. 7. https://doi.org/10.1038/ncomms10409Article
Natural hazards in Australia: heatwaves
Perkins-Kirkpatrick, S. E., White, C. J., Alexander, L. V., Argueso, D., Boschat, G., Cowan, T., Evans, J. P., Ekstrom, M., Oliver, E. C. J., Phatak, A. and Purich, A.. 2016. "Natural hazards in Australia: heatwaves." Climatic Change: an interdisciplinary, international journal devoted to the description, causes and implications of climatic change. 139 (1), pp. 101-114. https://doi.org/10.1007/s10584-016-1650-0Article
Long-term streamflow trends in the middle reaches of the Yellow River Basin: Detecting drivers of change
Gao, Zhaoliang, Zhang, Lu, Zhang, Xiaoping, Cheng, Lei, Potter, Nick, Cowan, Tim and Cai, Wenju. 2016. "Long-term streamflow trends in the middle reaches of the Yellow River Basin: Detecting drivers of change." Hydrological Processes. 30 (9), pp. 1315-1329. https://doi.org/10.1002/hyp.10704Article
On the use of composite analyses to form physical hypotheses: An example from heat wave - SST associations
Boschat, Ghyslaine, Simmonds, Ian, Purich, Purich, Cowan, Tim and Pezza, Alexandre Bernardes. 2016. "On the use of composite analyses to form physical hypotheses: An example from heat wave - SST associations." Scientific Reports. 6. https://doi.org/10.1038/srep29599Article
Flood adaptation strategies under climate change in Nepal: a socio-hydrological aalysis
Devkota, Rohini Prasad. 2014. Flood adaptation strategies under climate change in Nepal: a socio-hydrological aalysis. PhD Thesis Doctor of Philosophy. University of Southern Queensland.PhD Thesis
Spatial and temporal variability of rainfall in the Gandaki River Basin of Nepal Himalaya
Panthi, Jeeban, Dahal, Piyush, Shrestha, Madan Lall, Aryal, Suman, Krakauer, Nir Y., Pradhanang, Soni M., Lakhankar, Tarendra, Jha, Ajay K., Sharma, Mohan and Karki, Ramchandra. 2015. "Spatial and temporal variability of rainfall in the Gandaki River Basin of Nepal Himalaya ." Climate. 3 (1), pp. 210-226. https://doi.org/10.3390/cli3010210Article
On the new concept of the available water climatology and its application
Byun, H. R., Kim, D. W., Choi, K. S., Deo, R. C., Lee, S. M., Park, C. K., Kwon, S. H., Kim, G. B. and Kwon, H. N.. 2014. "On the new concept of the available water climatology and its application." American Geophysical Union, Fall Meeting 2014. San Francisco, United States 15 - 19 Dec 2014 San Francisco, USA.Poster
Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological parameters and climate indices in eastern Australia
Deo, Ravinesh C. and Sahin, Mehmet. 2015. "Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological parameters and climate indices in eastern Australia." Atmospheric Research. 161-162, pp. 65-81. https://doi.org/10.1016/j.atmosres.2015.03.018Article
Reconfiguring agriculture through the relocation of production systems for water, environment and food security under climate change
Mushtaq, S., White, N., Cockfield, G., Power, B. and Jakeman, G.. 2015. "Reconfiguring agriculture through the relocation of production systems for water, environment and food security under climate change." The Journal of Agricultural Science. 153 (5), pp. 779-797. https://doi.org/10.1017/S0021859614001117Article
Decomposition of energy-related CO2 emissions in Australia: challenges and policy implications
Shahiduzzaman, Md., Layton, Allan and Alam, Khorshed. 2015. "Decomposition of energy-related CO2 emissions in Australia: challenges and policy implications." Economic Analysis and Policy. 45, pp. 100-111. https://doi.org/10.1016/j.eap.2014.12.001Article
The water impacts of climate change mitigation measures
Wallis, Philip J., Ward, Michael B., Pittock, Jamie, Hussey, Karen, Bamsey, Howard, Denis, Amandine, Kenway, Steven J., King, Carey W., Mushtaq, Shahbaz, Retamal, Monique L. and Spies, Brian R.. 2014. "The water impacts of climate change mitigation measures." Climatic Change: an interdisciplinary, international journal devoted to the description, causes and implications of climatic change. 125 (2), pp. 209-220. https://doi.org/10.1007/s10584-014-1156-6Article
El Nino southern oscillation based rainfall forecasts in southern Africa. II. daily forecasts could help summer planting decisions in Zimbabwe
Cobon, D. H., Unganai, L. S. and Clewett, J. F.. 2003. "El Nino southern oscillation based rainfall forecasts in southern Africa. II. daily forecasts could help summer planting decisions in Zimbabwe." Allsopp, N., Palmer, A. R., Milton, S. J., Kirkman, K. P., Kerley, G. I. H., Hurt, C. R. and Brown, C. J. (ed.) 7th International Rangelands Congress 2003: Rangelands in the New Millennium . Durban, South Africa 26 Jul - 01 Aug 2003 Durban, South Africa.Paper
El Nino southern oscillation based rainfall forecasts in southern Africa. 1. seasonal forecasts can help communal farmers manage drought
Cobon, D. H., Unganai, L. S. and Clewett, J. F.. 2003. "El Nino southern oscillation based rainfall forecasts in southern Africa. 1. seasonal forecasts can help communal farmers manage drought." Allsopp, N., Palmer, A. R., Milton, S. J., Kirkman, K. P., Kerley, G. I. H., Hurt, C. R. and Brown, C. J. (ed.) 7th International Rangelands Congress 2003: Rangelands in the New Millennium . Durban, South Africa 26 Jul - 01 Aug 2003 Durban, South Africa.Paper
Climate change impacts on Australia's rangeland livestock carrying capacity: a review of issues
McKeon, G. M., Stone, G. S., Syktus, J. I., Carter, J. O., Flood, N. R., Ahrens, D. G., Bruget, D. N., Chilcott, C. R., Cobon, D. H., Cowley, R. A., Crimp, S. J., Fraser, G. W., Howden, S. M., Johnston, P. W., Ryan, J. G., Stokes, C. J. and Day, K. A.. 2009. "Climate change impacts on Australia's rangeland livestock carrying capacity: a review of issues." The Rangeland Journal. 31 (1), pp. 1-29. https://doi.org/10.1071/RJ08068Article
Climate information needs of Gascoyne-Murchison pastoralists: a representative study of the Western Australian grazing industry
Keogh, D. U., Watson, I. W., Bell, K. L., Cobon, D. H. and Dutta, S. C.. 2005. "Climate information needs of Gascoyne-Murchison pastoralists: a representative study of the Western Australian grazing industry." Animal Production Science. 45 (12), pp. 1613-1625. https://doi.org/10.1071/EA04275Article