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

Pryor, Sara C.; Sullivan, Ryan C.; Schoof, Justin T.

doi:https://doi.org/10.5194/acp-17-14457-2017

Articles | Volume 17, issue 23

https://doi.org/10.5194/acp-17-14457-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-17-14457-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 23

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, Ryan C. Sullivan, and Justin T. Schoof

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Final revised paper (published on 06 Dec 2017)
Preprint (discussion started on 13 Jul 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Referee 1 comments', Anonymous Referee #2, 30 Jul 2017
- AC1: 'Response to: Interactive comment on “Modeling the contributions of global air temperature, synoptic-scale phenomena and soil moisture to near-surface static energy variability using artificial neural networks” by Sara C. Pryor et al. Anonymous Referee', S.C. Pryor, 01 Nov 2017
RC2: 'Review for the manuscript “Modeling the contribution of global air temperature, synoptic-scale phenomena and soil moisture to near-surface static energy variability using artificial neural networks” by Pryor et al.', Anonymous Referee #3, 23 Oct 2017
- AC2: 'Response to: Interactive comment on “Modeling the contributions of global air temperature, synoptic-scale phenomena and soil moisture to near-surface static energy variability using artificial neural networks” by Sara C. Pryor et al. Anonymous Referee', S.C. Pryor, 01 Nov 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Sara C. Pryor on behalf of the Authors (01 Nov 2017) Author's response Manuscript

ED: Publish as is (04 Nov 2017) by Qiang Fu

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.