370108. Meteorology
| Title | 370108. Meteorology |
|---|---|
| Parent | 3701. Atmospheric sciences |
Latest research outputs
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Regional climate impacts of stabilizing global warming at 1.5 K using solar geoengineering
Jones, Anthony C., Hawcroft, Matthew K., Haywood, James M., Jones, Andy, Guo, Xiaoran and Moore, John C.. 2018. "Regional climate impacts of stabilizing global warming at 1.5 K using solar geoengineering." Earth's Future. 6 (2), pp. 230-251. https://doi.org/10.1002/2017EF000720Article
Significantly increased extreme precipitation expected in Europe and North America from extratropical cyclones
Hawcroft, Matt, Walsh, Ella, Hodges, Kevin and Zappa, Giuseppe. 2018. "Significantly increased extreme precipitation expected in Europe and North America from extratropical cyclones." Environmental Research Letters. 13 (12), pp. 1-9. https://doi.org/10.1088/1748-9326/aaed59Article
The contrasting climate response to tropical and extratropical energy perturbations
Hawcroft, Matt, Haywood, Jim M., Collins, Mat and Jones, Andy. 2018. "The contrasting climate response to tropical and extratropical energy perturbations." Climate Dynamics. 51 (9-10), pp. 3231-3249. https://doi.org/10.1007/s00382-018-4076-8Article
Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models
Lavender, Sally L., Walsh, Kevin J. E., Caron, Louis-Philippe, King, Malcolm, Monkiewicz, Sam, Guishard, Mark, Zhang, Qiong and Hunt, barrie. 2018. "Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models." Science Advances. 4 (8), pp. 1-8. https://doi.org/10.1126/sciadv.aat6509Article
The influence of sea surface temperature on the intensity and associated storm surge of tropical cyclone Yasi: a sensitivity study
Lavender, Sally L., Hoeke, Ron K. and Abbs, Deborah J.. 2018. "The influence of sea surface temperature on the intensity and associated storm surge of tropical cyclone Yasi: a sensitivity study." Natural Hazards and Earth System Sciences. 18 (3), pp. 795-805. https://doi.org/10.5194/nhess-18-795-2018Article
The physical processes causing nocturnal rainfall over northwest Australia and their representation in high- and low-resolution models with parametrized convection
Ackerley, D., Birch, C. E., Garcia-Carreras, L., Lavender, S. L. and Weller, E.. 2018. "The physical processes causing nocturnal rainfall over northwest Australia and their representation in high- and low-resolution models with parametrized convection." Quarterly Journal of the Royal Meteorological Society. 144 (711), pp. 511-528. https://doi.org/10.1002/qj.3223Article
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
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
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
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
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
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
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
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
bomrang: fetch Australian Government Bureau of Meteorology data in R [Journal of Open Source Software, vol. 2, no. 17, 411]
Sparks, Adam H., Padgham, Mark, Parsonage, Hugh and Pembleton, Keith. 2017. bomrang: fetch Australian Government Bureau of Meteorology data in R [Journal of Open Source Software, vol. 2, no. 17, 411]. Baltimore, Maryland, United States. NumFOCUS. https://doi.org/10.21105/joss.00411Software
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
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
Application of a Bayesian classifier of anomalous propagation to single-polarization radar reflectivity data
Peter, Justin R., Seed, Alan and Steinle, Peter J.. 2013. "Application of a Bayesian classifier of anomalous propagation to single-polarization radar reflectivity data ." Journal of Atmospheric and Oceanic Technology. 30 (9), pp. 1985-2005. https://doi.org/10.1175/JTECH-D-12-00082.1Article
Analysis of a destructive wind storm on 16 November 2008 in Brisbane, Australia
Richter, Harald, Peter, Justin and Collis, Scott. 2014. "Analysis of a destructive wind storm on 16 November 2008 in Brisbane, Australia." Monthly Weather Review. 142 (9), pp. 3038-3060. https://doi.org/10.1175/MWR-D-13-00405.1Article
Bayesian echo classification for Australian single-polarization weather radar with application to assimilation of radial velocity observations
Rennie, S. J., Curtis, M., Peter, J., Seed, A. W., Steinle, P. J. and Wen, G.. 2015. "Bayesian echo classification for Australian single-polarization weather radar with application to assimilation of radial velocity observations ." Journal of Atmospheric and Oceanic Technology. 32 (7), pp. 1341-1355. https://doi.org/10.1175/JTECH-D-14-00206.1Article
Radar-derived statistics of convective storms in southeast Queensland
Peter, Justin R., Manton, Michael J., Potts, Rodney J., May, Peter T., Collis, Scott M. and Wilson, Louise. 2015. "Radar-derived statistics of convective storms in southeast Queensland." Journal of Applied Meteorology and Climatology. 54 (10), pp. 1985-2008. https://doi.org/10.1175/JAMC-D-13-0347.1Article
GSODR: Global Summary Daily Weather Data in R
Sparks, Adam H., Hengl, Tomislav and Nelson, Andrew. 2017. GSODR: Global Summary Daily Weather Data in R. https://cran.r-project.org/package=GSODR. Comprehensive R Archive Network. https://doi.org/10.21105/joss.00177Software
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
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
Diagnosis of flood events in Brisbane (Australia) using a flood index based on daily effective precipitation
Deo, R. C., Byun, H. R., Adamowski, J. F. and Kim, D. W.. 2014. "Diagnosis of flood events in Brisbane (Australia) using a flood index based on daily effective precipitation." International Conference on Analysis and Management of Changing Risks for Natural Hazards (2014). Padua, Italy Padua, Italy.Paper
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 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
Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia
Deo, Ravinesh C. and Sahin, Mehmet. 2015. "Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia." Atmospheric Research. 153, pp. 512-525. https://doi.org/10.1016/j.atmosres.2014.10.016Article
Forecasting rainfall based on the Southern Oscillation Index phases at longer lead-times in Australia
Cobon, David H. and Toombs, Nathan R.. 2013. "Forecasting rainfall based on the Southern Oscillation Index phases at longer lead-times in Australia." The Rangeland Journal. 35 (4), pp. 373-383. https://doi.org/10.1071/RJ12105Article