G. E. Bodeker

Bodeker Scientific (New Zealand) — New Zealand

Earth and Planetary Sciences · Physical Sciences

49h-index13.1kcitations318works6.12yr avg
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Research Topics

Atmospheric Ozone and Climate(213), Atmospheric chemistry and aerosols(179), Atmospheric and Environmental Gas Dynamics(178), Climate variability and models(60), Meteorological Phenomena and Simulations(30)

Publications318 total

Statistical modelling of extreme daily rainfall over Aotearoa New Zealand
Weather and Climate Extremes·2025· 2 citedOpen Access
Empirical Models of Shallow Groundwater and Multi‐Hazard Flood Forecasts as Sea‐Levels Rise
Earth s Future·2025· 2 citedOpen Access
Anthropogenic influence on precipitation in Aotearoa New Zealand with differing circulation types
Weather and Climate Extremes·2024· 1 citedOpen Access
A Coastal Asset Risk Index (CARI) based on multi-criteria spatial analysis: New Zealand pilot study
Abstracts of the ICA·2024Open Access
Geospatial Metaphors in the Communication of Climate Change-Related Flooding Uncertainty
Abstracts of the ICA·2024· 1 citedOpen Access
Cyclone Gabrielle as a Design Storm for Northeastern Aotearoa New Zealand Under Anthropogenic Warming
Earth s Future·2024· 13 citedOpen Access
A perspective on the next generation of Earth system model scenarios: towards representative emission pathways (REPs)
Geoscientific model development·2024· 34 citedOpen Access
Regional characteristics of extreme precipitation events over Aotearoa New Zealand
Weather and Climate Extremes·2024· 2 citedOpen Access
Report on the 4th SPARC General Assembly
elib (German Aerospace Center)·2024Open Access
Sensitivity of extreme precipitation to climate change inferred using artificial intelligence shows high spatial variability
Communications Earth & Environment·2023· 19 citedOpen Access
Data files for figures in "Sensitivity of extreme precipitation to climate change inferred using artificial intelligence shows high spatial variability" by Bird et al.
Zenodo (CERN European Organization for Nuclear Research)·2023· 1 citedOpen Access
Data files for figures in "Sensitivity of extreme precipitation to climate change inferred using artificial intelligence shows high spatial variability" by Bird et al.
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Reply on CC3
2023Open Access
Reply on CC1
2023Open Access
Reply on CC1
2023Open Access
A value-of-information lens is needed
2023Open Access
A perspective on the next generation of Earth system model scenarios: towards representative emission pathways (REPs)
2023· 9 citedOpen Access
A forecast-model-based extreme weather event attribution system developed for Aotearoa New Zealand
Environmental Research Climate·2023· 8 citedOpen Access
Uncertainty in Mapping Climate Change-Related Flooding Risk to Residential Property Values
Abstracts of the ICA·2023· 1 citedOpen Access
Deep learning for stochastic precipitation generation – deep SPG v1.0
Geoscientific model development·2023· 1 citedOpen Access
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Frequent Co-authors

S. M. Frith(10), R. S. Stolarski(8), M. Dameris(7), Eugene Rozanov(7), H. Claude(7), Sophie Godin‐Beekmann(7), Ian Boyd(7), Veronika Eyring(6), Hideharu Akiyoshi(6), H. Struthers(6), Birgit Haßler(6), Martyn P. Chipperfield(5), Andrew Gettelman(5), Kiyotaka Shibata(5), D. W. Tarasick(5), Richard McKenzie(5), B. J. Connor(5), Thierry Leblanc(5), I. S. McDermid(5), Anne M. Thompson(5)