Articles | Volume 9, issue 3
https://doi.org/10.5194/tc-9-1249-2015
https://doi.org/10.5194/tc-9-1249-2015
Research article
 | 
19 Jun 2015
Research article |  | 19 Jun 2015

Theoretical analysis of errors when estimating snow distribution through point measurements

E. Trujillo and M. Lehning

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ernesto Trujillo on behalf of the Authors (07 Apr 2015)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (08 Apr 2015) by Ross Brown
RR by Anonymous Referee #2 (21 Apr 2015)
ED: Publish subject to minor revisions (Editor review) (11 May 2015) by Ross Brown
AR by Ernesto Trujillo on behalf of the Authors (19 May 2015)  Author's response   Manuscript 
ED: Publish as is (25 May 2015) by Ross Brown
AR by Ernesto Trujillo on behalf of the Authors (26 May 2015)
Download
Short summary
In this article, we present a methodology for the objective evaluation of the error in capturing mean snow depths from point measurements. We demonstrate, using LIDAR snow depths, how the model can be used for assisting the design of survey strategies such that the error is minimized or an estimation threshold is achieved. Furthermore, the model can be extended to other spatially distributed snow variables (e.g., SWE) whose statistical properties are comparable to those of snow depth.