Hoffman_Understanding-Climate-Change-from-Data_20140701.tex

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\title{Representativeness-based Sampling Network Design for NGEE and Identifying Phenoregions for the Conterminous U.S.}
\author{Forrest~M.~Hoffman$^{\dag\ddag}$, Jitendra~Kumar$^\dag$, Damian~Maddalena$^\dag$, and William~W.~Hargrove*}
\institute{$^\dag$Oak~Ridge~National~Laboratory, $^\ddag$University~of~California-Irvine, and *USDA~Forest~Service, Eastern Forest Environmental Threat Assessment Center (EFETAC)}
\date{July 1, 2014}

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  Fourth Workshop on Understanding Climate Change from Data, Boulder, Colorado, USA
  } \\
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% Data Mining for Climate Change Model Intercomparison (view on browser)
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%\section[Model Intercomparison]{Data Mining for Climate Change Model Intercomparison}
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\section[Representativeness]{Sampling Domain Representativeness}
\input{ngee_representativeness}
\subsection[Barrow]{Barrow Environmental Observatory Representativeness}
\input{beo_representativeness}
\subsection[NGEE Tropics]{NGEE Tropics Representativeness}
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% Modified version of Forrest's US-IALE 2013 talk on phenregions,
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\section[ForWarn]{The ForWarn Early Warning System}
\input{ForWarn}
\section[Phenoregions]{Identifying Phenoregion for the Conterminous U.S.}
\input{phenoregions}
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% Estimating Tree Species Ranges using Associative Clustering
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%\section[Tree Ranges]{Estimating Tree Species Ranges from Forest Inventories}
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% A Clustering Approach to Model-Data Comparison
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%\section[Model-Data Comparison]{A Clustering Approach to Model-Data Comparison}
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\section[AGU Advert]{AGU Fall Meeting Session Advertisement}
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% Acknowledgments
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\section{Acknowledgments}
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\section{References}
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