Articles | Volume 18, issue 13
Atmos. Chem. Phys., 18, 10007–10023, 2018
https://doi.org/10.5194/acp-18-10007-2018
Atmos. Chem. Phys., 18, 10007–10023, 2018
https://doi.org/10.5194/acp-18-10007-2018
Research article
13 Jul 2018
Research article | 13 Jul 2018

Upscaling surface energy fluxes over the North Slope of Alaska using airborne eddy-covariance measurements and environmental response functions

Andrei Serafimovich et al.

Viewed

Total article views: 1,789 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,089 631 69 1,789 36 45
  • HTML: 1,089
  • PDF: 631
  • XML: 69
  • Total: 1,789
  • BibTeX: 36
  • EndNote: 45
Views and downloads (calculated since 19 Mar 2018)
Cumulative views and downloads (calculated since 19 Mar 2018)

Viewed (geographical distribution)

Total article views: 1,782 (including HTML, PDF, and XML) Thereof 1,770 with geography defined and 12 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (preprint)

Latest update: 21 May 2022
Download
Short summary
In order to support the evaluation of coupled atmospheric–land-surface models we investigated spatial patterns of energy fluxes in relation to land-surface properties and upscaled airborne flux measurements to high resolution flux maps. A machine learning technique allows us to estimate environmental response functions between spatially and temporally resolved flux observations and corresponding biophysical and meteorological drivers.
Altmetrics
Final-revised paper
Preprint