| High-resolution downscaling with interpretable deep learning: Rainfall extremes over New Zealand N Rampal, PB Gibson, A Sood, S Stuart, NC Fauchereau, C Brandolino, ... Weather and Climate Extremes 38, 100525, 2022 | 35 | 2022 |
| Horizon scan on the benefits of ocean seasonal forecasting in a future of increasing marine heatwaves for Aotearoa New Zealand CL Stevens, CM Spillman, E Behrens, N Broekhuizen, P Holland, ... Frontiers in Climate 4, 907919, 2022 | 10 | 2022 |
| On the factors that determine boundary layer albedo N Rampal, R Davies Journal of Geophysical Research: Atmospheres 125 (15), e2019JD032244, 2020 | 7 | 2020 |
| Interpretable deep learning applied to rip current detection and localization N Rampal, T Shand, A Wooler, C Rautenbach Remote Sensing 14 (23), 6048, 2022 | 5 | 2022 |
| Quantile-regression-ensemble: A deep learning algorithm for downscaling extreme precipitation T Bailie, YS Koh, N Rampal, PB Gibson Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 21914 …, 2024 | 2 | 2024 |
| An Objective Weather Regime Classification for Aotearoa New Zealand Using a Two-Tiered K -Means Clustering Approach N Rampal, A Lorrey, N Fauchereau Monthly Weather Review 150 (11), 3103-3122, 2022 | 2 | 2022 |
| Storylines for future projections of precipitation over New Zealand in CMIP6 models PB Gibson, N Rampal, SM Dean, O Morgenstern Journal of Geophysical Research: Atmospheres 129 (5), e2023JD039664, 2024 | 1 | 2024 |
| Regional downscaling of climate data using deep learning and applications for drought and rainfall forecasting N Rampal, A Sood, M Rio, A Pletzer eResearch New Zealand Conference 2021, 2021 | 1 | 2021 |
| A Robust Generative Adversarial Network Approach for Climate Downscaling and Weather Generation N Rampal, PB Gibson, S Sherwood, G Abramowitz, S Hobeichi | | 2024 |
| Enhancing Regional Climate Downscaling through Advances in Machine Learning N Rampal, S Hobeichi, PB Gibson, J Baño-Medina, G Abramowitz, ... Artificial Intelligence for the Earth Systems 3 (2), 230066, 2024 | | 2024 |
| Revisiting Tabular Machine Learning and Sequential Models to Advance Climate Downscaling S Hobeichi, Y Shao, N Rampal, M Bittner, G Abramowitz EGU24, 2024 | | 2024 |
| Seasonal forecasting of mussel aquaculture meat yield in the Pelorus Sound N Rampal, N Broekhuizen, D Plew, J Zeldis, B Noll, T Meyers, ... Frontiers in Marine Science 10, 984, 2023 | | 2023 |
| Identifying rip currents using artificial intelligence [conference abstract# 250] A Wooler, C Rautenbach, N Rampal, T Shand, C Becconsall WCDP 2023 Shaping a global strategy. Mobilising for local action. Perth …, 2023 | | 2023 |
| Detecting the Phase of Marine Boundary Layer Clouds: Some Implications for Cloud Albedo N Rampal, R Davies Journal of Geophysical Research: Atmospheres 127 (24), e2022JD037496, 2022 | | 2022 |
| Interpretable Artificial Intelligence for Rip Current Detection and Localization N Rampal, C Rautenbach, T Shand Coastal Engineering Proceedings, 112-112, 2022 | | 2022 |
| Mesoscale Cellular Convection: Determining the radiative effect and the large-scale meteorological controls N Rampal Masters Thesis-University of Auckland, 2019 | | 2019 |
| Observed cloud morphology and inferred microphysics over the South Pacific from MISR and MODIS measurements of shortwave reflectivity R Davies, J Loveridge, N Rampal Radiation Processes in the Atmosphere and Ocean (IRS2016), 2017 | | 2017 |
| Guided by Artificial Intelligence: New Zealand’s first sub-seasonal drought forecast N Rampal, T Meyers, B Noll, P Gibson, C Brandolino | | |
Peter B GibsonNIWA, New ZealandVerified email at jpl.nasa.gov
