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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 17, issue 23 | Copyright
Atmos. Chem. Phys., 17, 14457-14471, 2017
https://doi.org/10.5194/acp-17-14457-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 06 Dec 2017

Research article | 06 Dec 2017

Modeling the contributions of global air temperature, synoptic-scale phenomena and soil moisture to near-surface static energy variability using artificial neural networks

Sara C. Pryor et al.
Data sets

The Modern-Era Retrospective Analysis for Research and applications, Version 2 (MERRA-2) NASA (The US National Aeronautics and Space Administration) http://disc.sci.gsfc.nasa.gov/daac-bin/FTPSubset2.pl

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Short summary
The air temperature and water vapor content are increasing globally due to the increased concentration of "heat-trapping" (greenhouse) gases. But not all regions are warming at the same rate. This analysis is designed to improve understanding of the causes of recent trends and year-to-year variability in summertime heat indices over the eastern US and to present a new model that can be used to make projections of future events that may cause loss of life and/or decreased human well-being.
The air temperature and water vapor content are increasing globally due to the increased...
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