University of New Hampshire / College Road / University of Alaska Fairbanks / / /
IndustryTerm
neural networks / energy feedbacks / energy usage / pressure systems / greenhouse gas concentration equivalents / surface energy exchange / Trace gas emissions / /
MarketIndex
Canadian Fire Weather / /
NaturalFeature
Great bay / Lakes bay / Rocky Mountains / BOREAL FOREST / Great Lakes bay / MacKenzie / /
Organization
Bureau of Land Management / University of New Hampshire / Durham / Analysis Coupled Global Climate Model / Great Lakes Forestry Centre / Government of Alberta / National Oceanic and Atmospheric Administration / wComplex Systems Research Center / zUS Geological Survey / Alaska Cooperative Fish and Wildlife Research Unit / Alaska Fire Service / Complex Systems Research Center / kInternational Arctic Research Center / Canadian Forest Service / Canadian Center for Climate Modeling / Department of Biology and Wildlife / Canadian Center for Climate Modeling and Analysis Coupled Global Climate Model / University of Alaska Fairbanks / University of New Hampshire / /
Person
Woods Hole / James Bays / Van Wagner / Hudson Bays / / /
Position
model development data / model development datasets / /
ProgrammingLanguage
DC / /
ProvinceOrState
Alberta / Quebec / Alaska / Saskatchewan / Newfoundland / Yukon Territory / Manitoba / Massachusetts / Colorado / Ontario / New Hampshire / Alaska and western Canada / Alaska and Canada / /
PublishedMedium
The Authors Journal / the CGCM2 daily / /
Region
Antarctic / central Canada / western Canada / western United States / western Ontario / western Newfoundland / eastern Canada / western North America / eastern Manitoba / /
Assessing the response of area burned to changing climate in western boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach