Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Hydrol. Earth Syst. Sci., 21, 1339-1358, 2017
http://www.hydrol-earth-syst-sci.net/21/1339/2017/
doi:10.5194/hess-21-1339-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
07 Mar 2017
Estimation of surface energy fluxes in the Arctic tundra using the remote sensing thermal-based Two-Source Energy Balance model
Jordi Cristóbal et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC1: 'Comment on "Estimation of surface energy fluxes in the Arctic tundra using the remote sensing thermal-based Two-Source Energy Balance model" by J. Crist\'obal et al.', Anonymous Referee #1, 20 Jul 2016 Printer-friendly Version 
AC1: 'AC: Reply to reviewer 1', Jordi Cristóbal, 06 Oct 2016 Printer-friendly Version 
 
RC2: 'Review: Estimation of surface energy fluxes in the Arctic tundra', Anonymous Referee #2, 15 Aug 2016 Printer-friendly Version 
AC2: 'AC: Reply to reviewer 2', Jordi Cristóbal, 06 Oct 2016 Printer-friendly Version 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (18 Oct 2016) by Prof. Matthew Hipsey  
AR by Anna Wenzel on behalf of the Authors (26 Oct 2016)  Author's response
ED: Referee Nomination & Report Request started (21 Nov 2016) by Prof. Matthew Hipsey
RR by Anonymous Referee #1 (17 Dec 2016)  
ED: Publish subject to minor revisions (further review by Editor) (10 Jan 2017) by Prof. Matthew Hipsey  
AR by Jordi Cristóbal on behalf of the Authors (27 Jan 2017)  Author's response  Manuscript
ED: Publish as is (07 Feb 2017) by Prof. Matthew Hipsey  
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Short summary
Quantifying trends in surface energy fluxes is crucial for forecasting ecological responses in Arctic regions. An extensive evaluation using a thermal-based remote sensing model and ground measurements was performed in Alaska's Arctic tundra for 5 years. Results showed an accurate temporal trend of surface energy fluxes in concert with vegetation dynamics. This work builds toward a regional implementation over Arctic ecosystems to assess response of surface energy fluxes to climate change.
Quantifying trends in surface energy fluxes is crucial for forecasting ecological responses in...
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