A model for the spatial distribution of snow water equivalent parameterized
from the spatial variability of precipitation

Skaugen, Thomas; Weltzien, Ingunn H.

doi:https://doi.org/10.5194/tc-10-1947-2016

Articles | Volume 10, issue 5

https://doi.org/10.5194/tc-10-1947-2016

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

https://doi.org/10.5194/tc-10-1947-2016

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

Articles | Volume 10, issue 5

Research article

|

06 Sep 2016

Research article |

| 06 Sep 2016

A model for the spatial distribution of snow water equivalent parameterized from the spatial variability of precipitation

Thomas Skaugen and Ingunn H. Weltzien

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Final revised paper (published on 06 Sep 2016)
Preprint (discussion started on 19 Feb 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review', Anonymous Referee #1, 28 Mar 2016
- AC1: 'Responses and suggested changes to reviewer #1', Thomas Skaugen, 25 May 2016
RC2: 'Interactive comment on „A model for the spatial distribution of snow water equivalent parameterised from the spatial variability of precipitation“ by Thomas Skaugen and Ingunn H. Weltzien', Anonymous Referee #2, 19 Apr 2016
- AC2: 'Responses and suggested changes to reviewer #2', Thomas Skaugen, 25 May 2016
EC1: 'Table 1', Ross Brown, 26 May 2016

Peer-review completion

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

AR by Thomas Skaugen on behalf of the Authors (08 Jun 2016) Author's response Manuscript

ED: Referee Nomination & Report Request started (09 Jun 2016) by Ross Brown

RR by Juraj Parajka (04 Jul 2016)

RR by Anonymous Referee #2 (08 Jul 2016)

ED: Publish subject to minor revisions (Editor review) (08 Jul 2016) by Ross Brown

Dear authors: Both reviewers are satisifed with your response to their comments and recommended the paper be accepted for publication following some minor changes noted below:

Reviewer 1:
I really appreciate that authors have considered and taken my comments into account. Authors made quite an effort to put the study into more general context and to explain the basic principles of the applied approach. I would recommend publish the paper after considering a few minor comments (mainly improving the clarity of Figure captions):

1) Please consider to indicate in Fig. captions the meaning of S-E, M-N, ..etc. Maybe these regions can be indicated also in Figure 3, which can be used as a reference for the captions. Please consider to indicate the regions also in Fig.7 (c, d).

2) Please check once against the text flow. There are several now well connected “old” a “new” text parts, or duplicates of text (e.g. P.6., l7, P6., l.16, p10 and line 11-16)(pages and lines refer to pdf version with marked changes).

3) It will be interesting to elaborate somewhat more on why do the results sometime differ in different regions of Norway (e.g. why is the DDD_LN better in SW region, or why is there an underestimation of snow?)

Reviewer 2:
The revised manuscript of Skaugen et al. “A model for the spatial distribution of snow water equivalent parameterised from the spatial variability of precipitation“ is clearly improved to the former version. The reviewers comments were all answered and considered in the revised manuscript. Readability and clarity is improved. In my opinion the manuscript can be published with some technical corrections.

Details:
The quality of the figures is strongly improved. For me it is still difficult to understand the running mean in Figure 5, 8 and 9, as I expect a running mean for time series but with the explanations in the text and the given regions in the figures acceptable.

There are still some technical corrections to fix e.g. in the references p.32 line 39 or p.33 line 46.

I look forward to your response.

Best regards, Ross Brown (ed).

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AR by Thomas Skaugen on behalf of the Authors (12 Aug 2016) Author's response Manuscript

ED: Publish as is (22 Aug 2016) by Ross Brown

Short summary

In hydrological models it is important to properly simulate the spatial distribution of snow water equivalent (SWE) for the timing of spring melt floods and the accounting of energy fluxes. This paper describes a method for the spatial distribution of SWE which is parameterised from observed spatial variability of precipitation and has hence no calibration parameters. Results show improved simulation of SWE and the evolution of snow-free areas when compared with the standard method.