Technical note: Improving the AWAT filter with interpolation schemes for  advanced processing of high resolution data

Peters, Andre; Nehls, Thomas; Wessolek, Gerd

doi:https://doi.org/10.5194/hess-20-2309-2016

Articles | Volume 20, issue 6

https://doi.org/10.5194/hess-20-2309-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-20-2309-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 6

Technical note

|

15 Jun 2016

Technical note |

| 15 Jun 2016

Technical note: Improving the AWAT filter with interpolation schemes for advanced processing of high resolution data

Andre Peters, Thomas Nehls, and Gerd Wessolek

Download

Final revised paper (published on 15 Jun 2016)
Preprint (discussion started on 21 Mar 2016)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Review of the technical note : improving the AWAT filter with interpolation schemes for advanced processing of high resolution data by Peters et al.', Anonymous Referee #1, 09 Apr 2016
- AC1: 'Reply to anonymous Reviewer', Andre Peters, 13 Apr 2016
RC2: 'Technical note: Improving the AWAT filter with interpolation schemes for advanced processing of high resolution data', Johann Fank, 09 Apr 2016
- AC2: 'Reply to comments from Johann Fank', Andre Peters, 13 Apr 2016
RC3: 'Comments', Thomas Puetz, 10 May 2016
- AC3: 'Reply to comments from Thomas Pütz', Andre Peters, 20 May 2016

Peer-review completion

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

ED: Publish subject to minor revisions (Editor review) (20 May 2016) by Marnik Vanclooster

AR by Andre Peters on behalf of the Authors (20 May 2016) Author's response Manuscript

ED: Publish as is (20 May 2016) by Marnik Vanclooster

Short summary

The AWAT (Adaptive Window and Adaptive Threshold) filter routine for high-resolution lysimeter data is improved. The threshold scheme with original step interpolation yields unrealistic fluxes for high temporal resolution. Improvement applies linear and spline interpolation schemes so that fluxes in high temporal resolution are automatically calculated. The spline scheme allows continuous differentiability of filtered data so that any output resolution for the fluxes is sound.