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Climate Model Downscaling Data for Impacts Research

This project seeks to address the challenges faced by climate change impacts researchers in utilizing regional climate model outputs. With limited capacity to handle large binary datasets and the requirement for data in specific formats, software tools need to be developed to facilitate better access to high-resolution gridded datasets. Led by Ian Macadam and supported by partners from the ARC Centre of Excellence for Climate System Science and other institutions, this initiative aims to improve the usability of climate data for assessing impacts on agriculture, health, and species distributions.

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Climate Model Downscaling Data for Impacts Research

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  1. Climate Model Downscaling Data for Impacts Research • Climate Change Impacts Researchers • Limited capacity to handle large binary datasets • Software tools require data for a selection of variables in certain formats • Project Partners • Regional Climate Model Output • Large high- resolution gridded dataset • Binary format • Project Partner Developing a software system to facilitate the use of Regional Climate Model output by climate change impacts researchers Ian Macadam, David Fuchs, Adam Hotz, Patrice Constanza ARC Centre of Excellence for Climate System Science Rivers and Wetlands Prof Richard Kingsford, UNSW Wheat Yields Dr De Li Liu, NSW DPI NARCliM The NSW and ACT Regional Climate Model project Species Distributions Dr Linda Beaumont, Macquarie University Human Health Dr Hilary Bambrick, UWS Project Contact Ian MacadamUniversity of New South WalesEmail: i.macadam@unsw.edu.au This project is supported by the Australian National Data Service (ANDS). ANDS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program and the Education Investment Fund (EIF) Super Science Initiative.

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