ORCID as entered in ROS

Select Publications
2025, Investigating the effects of orography and ambient wind on deep convection over tropical islands, http://dx.doi.org/10.5194/egusphere-egu25-1221
,2025, Decadal climatology and trends in global oceanic precipitation from 27 satellite and reanalysis datasets, http://dx.doi.org/10.5194/egusphere-egu25-9341
,2025, Global projections of hail hazard frequency under climate change, http://dx.doi.org/10.5194/egusphere-egu25-13858
,2025, Investigating the Future Evolution of Extreme Convective Wind Gusts Using Pseudo-Global Warming Experiments. , http://dx.doi.org/10.5194/egusphere-egu25-12076
,2025, Quantifying Internal Variability Uncertainty in Regional Climate Projections using Artificial Intelligence, http://dx.doi.org/10.5194/egusphere-egu25-14590
,2025, Using SST as a proxy for cloud phase biases over the Southern Ocean, http://dx.doi.org/10.5194/egusphere-egu25-2195
,2025, "Up-Goer Five Challenge": A way to make science more accessible?, http://dx.doi.org/10.5194/egusphere-egu24-10867
,2025, Insights into cloud biases over high-latitude oceans from a cloud-controlling factor framework, http://dx.doi.org/10.5194/egusphere-egu24-14968
,2023, Evaluating Memory Properties in Convection Schemes Using Idealised Tests, http://dx.doi.org/10.5194/egusphere-egu23-4968
,2019, Supplementary material to "Enhanced warming of seasonal cold extremes relative to the mean in the Northern Hemisphere extratropics", http://dx.doi.org/10.5194/esd-2019-36-supplement
,2019, North Australian Cloud Lines, Clean Air Society of Australia and New Zealand, Sydney, Australia
,2017, Simulating roll clouds associated with low-level convergence in WRF, Climate Change Research Centre, Sydney, https://www.climatescience.org.au/sites/default/files/WRF_Workshop_Prasad.pdf#overlay-context=wrf2017
,2017, Supplementary material to "The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue – metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models", http://dx.doi.org/10.5194/gmd-2017-69-supplement
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