Peter Gibson

National Institute of Water and Atmospheric Research Wellington

New Zealand

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Articles (18)

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2025

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2025

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2021

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2021

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2021

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2020

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2020

Collaborators (7)

Aneesh C. Subramanian

UNITED STATES

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Ting Sun

Lecturer in Climate and Meteorological Hazard Risks

University College London

UNITED KINGDOM

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Paul Loikith

Associate Professor

Portland State University

UNITED STATES

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Steven Sherwood

Professor

University of New South Wales

AUSTRALIA

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Stuart Moore

NIWA - The National Institute of Water and Atmospheric Research Ltd.

NEW ZEALAND

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Nicolas James Cullen

Professor

University of Otago

NEW ZEALAND

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Gab Abramowitz

Senior Lecturer

University of New South Wales

AUSTRALIA

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Peter Gibson

Research Interests

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Articles (18)

A Reliable Generative Adversarial Network Approach for Climate Downscaling and Weather Generation

Downscaled CMIP6 future climate projections for New Zealand: climatology and extremes

Downscaled Climate Projections of Tropical and Ex‐Tropical Cyclones Over the Southwest Pacific

Precipitation Over Complex Mountain Terrain in a Convection‐Permitting Regional Climate Model

High‐Resolution Climate Change Projections of Atmospheric Rivers Over the South Pacific

Higher-resolution projections needed for small island climates

Storylines for Future Projections of Precipitation Over New Zealand in CMIP6 Models

On the Extrapolation of Generative Adversarial Networks for Downscaling Precipitation Extremes in Warmer Climates

High‐Resolution CCAM Simulations Over New Zealand and the South Pacific for the Detection and Attribution of Weather Extremes

Development of a Statistical Subseasonal Forecast Tool to Predict California Atmospheric Rivers and Precipitation Based on MJO and QBO Activity

High-resolution downscaling with interpretable deep learning: Rainfall extremes over New Zealand

Large-scale environments of successive atmospheric river events leading to compound precipitation extremes in California

Advances in the application and utility of subseasonal-to-seasonal predictions

Genesis Locations of the Costliest Atmospheric Rivers Impacting the Western United States

Training machine learning models on climate model output yields skillful interpretable seasonal precipitation forecasts

A Climatology of Atmospheric Rivers in New Zealand

Subseasonal‐to‐Seasonal Hindcast Skill Assessment of Ridging Events Related to Drought Over the Western United States

Bayesian Model Averaging of Climate Model Projections Constrained by Precipitation Observations over the Contiguous United States

Collaborators (7)

Aneesh C. Subramanian

Ting Sun

Paul Loikith

Steven Sherwood

Stuart Moore

Nicolas James Cullen

Gab Abramowitz

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