Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 11, issue 4
Articles | Volume 11, issue 4
https://doi.org/10.5194/amt-11-2151-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-11-2151-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 11, issue 4
Research article
 | 
16 Apr 2018
Research article |  | 16 Apr 2018

Computational efficiency for the surface renewal method

Jason Kelley and Chad Higgins

Viewed

Total article views: 2,390 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,532 750 108 2,390 434 105 110
  • HTML: 1,532
  • PDF: 750
  • XML: 108
  • Total: 2,390
  • Supplement: 434
  • BibTeX: 105
  • EndNote: 110
Views and downloads (calculated since 01 Jun 2017)
Cumulative views and downloads (calculated since 01 Jun 2017)

Viewed (geographical distribution)

Total article views: 2,390 (including HTML, PDF, and XML) Thereof 2,373 with geography defined and 17 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Nov 2024
Download
Short summary
Measuring fluxes of energy and trace gases using the surface renewal (SR) method can be economical and robust, but it requires computationally intensive calculations. Several new algorithms were written to perform the required calculations more efficiently and rapidly, and were tested with field data and computationally rigorous SR methods. These efficient algorithms facilitate expanded use of SR in atmospheric experiments, for applied monitoring, and in novel field implementations.
Read more