Kavina Dayal
Kavina Dayal
Applied Climate Scientist
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PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches
O Rahmati, A Kornejady, M Samadi, RC Deo, C Conoscenti, L Lombardo, ...
Science of the total environment 664, 296-311, 2019
Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia
O Rahmati, F Falah, KS Dayal, RC Deo, F Mohammadi, T Biggs, ...
Science of the Total Environment 699, 134230, 2020
Spatio-temporal drought risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia
KS Dayal, RC Deo, AA Apan
Natural Hazards 93 (2), 823-847, 2018
Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia
O Rahmati, M Panahi, Z Kalantari, E Soltani, F Falah, KS Dayal, ...
Science of The Total Environment 718, 134656, 2020
Investigating Drought Duration-Severity-Intensity Characteristics Using the Standardized Precipitation-Evapotranspiration Index: Case Studies in Drought-Prone Southeast Queensland
KS Dayal, RC Deo, A Armando. A
Journal of Hydrologic Engineering 23 (1), 1-16, 2017
Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia
K Dayal, R Deo, AA Apan
Climate change adaptation in Pacific countries, 177-198, 2017
Nationwide crop yield estimation based on photosynthesis and meteorological stress indices
Y Chen, RJ Donohue, TR McVicar, F Waldner, G Mata, N Ota, ...
Agricultural and Forest Meteorology 284, 107872, 2020
Cooperative neuro-evolution of elman recurrent networks for tropical cyclone wind-intensity prediction in the south pacific region
R Chandra, K Dayal
2015 IEEE Congress on Evolutionary Computation (CEC), 1784-1791, 2015
Application of cooperative neuro-evolution of Elman recurrent networks for a two-dimensional cyclone track prediction for the South Pacific region
R Chandra, K Dayal, N Rollings
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index
K Dayal, R Deo, A Apan
IEEE Region 10 International Conference: Technologies for Smart Nation, 2962 …, 2016
Quantifying flood events in Bangladesh with a daily-step flood monitoring index based on the concept of daily effective precipitation
RC Deo, JF Adamowski, K Begum, S Salcedo-Sanz, DW Kim, KS Dayal, ...
Theoretical and Applied Climatology 137 (1), 1201-1215, 2019
Development of copula-statistical drought prediction model using the standardized precipitation-evapotranspiration index
KS Dayal, RC Deo, AA Apan
Handbook of Probabilistic Models, 141-178, 2020
Coevolutionary recurrent neural networks for prediction of rapid intensification in wind intensity of tropical cyclones in the south pacific region
R Chandra, KS Dayal
International Conference on Neural Information Processing, 43-52, 2015
Scope for predicting seasonal variation of the SPCZ with ACCESS-S1
TA Beischer, P Gregory, K Dayal, JR Brown, AN Charles, WXD Wang, ...
Climate Dynamics 56 (5), 1519-1540, 2021
Climate drivers provide valuable insights into late season prediction of Australian wheat yield
K Dayal, JN Brown, F Waldner, R Lawes, Z Hochman, R Donohue, ...
Agricultural and Forest Meteorology 295, 108202, 2020
Use of seasonal forecasts for guiding early season decisions in Australian cotton systems
C Nunn, JC Brown, PC McIntosh, K Dayal, MP Bange
Proceedings of 19th Australian Agronomy Conference, 2019
Development of statistical and geospatial-based framework for drought-risk assessment
KS Dayal
University of Southern Queensland, 2018
Past and future rainfall changes in the Australian midlatitudes and implications for agriculture
K Waha, J Clarke, K Dayal, M Freund, C Heady, I Parisi, E Vogel
Climatic Change 170 (3), 1-21, 2022
Intelligent data analytics for time series, trend analysis and drought indices comparison
KS Dayal, RC Deo, AA Apan
Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation …, 2021
National-scale crop yield estimation based on biomass and climate-driven stress indices.
Y Chen, R Donohue, T McVicar, F Waldner, G Mata, N Ota, ...
Geophysical Research Abstracts 21, 2019
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