Tadhg Moore
Tadhg Moore
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Near-term forecasts of NEON lakes reveal gradients of environmental predictability across the U.S.
We scaled a near-term, iterative, water temperature forecasting system to all six NEON lakes in the conterminous US. Forecasts were more accurate than a null model. Lake characteristics interact with weather to control the predictability of thermal structure.
R. Quinn Thomas
,
Ryan P. McClure
,
Tadhg N. Moore
,
Whitney M. Woelmer
,
Carl Boettiger
,
Renato J. Figueiredo
,
Robert T. Hensley
,
Cayelan C. Carey
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DOI
Near-term forecasts of NEON lakes reveal gradients of environmental predictability across the U.S.
We scaled a near-term, iterative water temperature forecasting system to six conterminous NEON lakes. We generated forecasts using a hydrodynamic model. Forecasts were more accurate than a null model. Lake characteristics interact with weather to control the predictability of thermal structure.
R. Quinn Thomas
,
McClure, Ryan
,
Tadhg N. Moore
,
Whitney Woelmer
,
Carl Boettiger
,
Renato Figueiredo
,
Robert Hensley
,
Cayelan Carey
PDF
Cite
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DOI
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