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Customized Spatial Climate Models for North America

Daniel W. McKenneyCanadian Forest Service, Natural Resources Canada, Sault Ste. Marie, Ontario, Canada

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Michael F. HutchinsonFenner School of Environment and Society, Australian National University, Canberra, Australian Capital Territory, Australia

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Pia PapadopolCanadian Forest Service, Natural Resources Canada, Sault Ste. Marie, Ontario, Canada

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Kevin LawrenceCanadian Forest Service, Natural Resources Canada, Sault Ste. Marie, Ontario, Canada

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John PedlarCanadian Forest Service, Natural Resources Canada, Sault Ste. Marie, Ontario, Canada

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Kathy CampbellCanadian Forest Service, Natural Resources Canada, Sault Ste. Marie, Ontario, Canada

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Ewa MilewskaClimate Research Division, Environment Canada, Toronto, Ontario, Canada

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Ron F. HopkinsonCustom Climate Services, Regina, Saskatchewan, Canada

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David PriceCanadian Forest Service, Natural Resources Canada, Edmonton, Alberta, Canada

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Tim OwenNOAA/National Climatic Data Center, Asheville, North Carolina

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Over the past two decades, researchers at Natural Resources Canada's Canadian Forest Service, in collaboration with the Australian National University (ANU), Environment Canada (EC), and the National Oceanic and Atmospheric Administration (NOAA), have made a concerted effort to produce spatial climate products (i.e., spatial models and grids) covering both Canada and the United States for a wide variety of climate variables and time steps (from monthly to daily), and across a range of spatial resolutions. Here we outline the method used to generate the spatial models, detail the array of products available and how they may be accessed, briefly describe some of the usage and impact of the models, and discuss anticipated further developments. Our initial motivation in developing these models was to support forestry-related applications. They have since been utilized by a wider range of agencies and researchers. This article is intended to further raise awareness of the strengths and weaknesses of these climate models and to facilitate their wider application.

Over the past two decades, researchers at Natural Resources Canada's Canadian Forest Service, in collaboration with the Australian National University (ANU), Environment Canada (EC), and the National Oceanic and Atmospheric Administration (NOAA), have made a concerted effort to produce spatial climate products (i.e., spatial models and grids) covering both Canada and the United States for a wide variety of climate variables and time steps (from monthly to daily), and across a range of spatial resolutions. Here we outline the method used to generate the spatial models, detail the array of products available and how they may be accessed, briefly describe some of the usage and impact of the models, and discuss anticipated further developments. Our initial motivation in developing these models was to support forestry-related applications. They have since been utilized by a wider range of agencies and researchers. This article is intended to further raise awareness of the strengths and weaknesses of these climate models and to facilitate their wider application.

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