Evaluation of high-resolution precipitation analyses using a dense station network

Kann, A.; Meirold-Mautner, I.; Schmid, F.; Kirchengast, G.; Fuchsberger, J.; Meyer, V.; Tüchler, L.; Bica, B.

doi:https://doi.org/10.5194/hess-19-1547-2015

Articles | Volume 19, issue 3

https://doi.org/10.5194/hess-19-1547-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-19-1547-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 19, issue 3

Research article

|

26 Mar 2015

Research article |

| 26 Mar 2015

Evaluation of high-resolution precipitation analyses using a dense station network

A. Kann, I. Meirold-Mautner, F. Schmid, G. Kirchengast, J. Fuchsberger, V. Meyer, L. Tüchler, and B. Bica

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Final revised paper (published on 26 Mar 2015)
Preprint (discussion started on 21 Oct 2014)

Interactive discussion

Status: closed

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

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- Supplement

RC C5623: 'Comment on "On the skill of high frequency precipitation analyses" by A. Kann et al.', Anonymous Referee #1, 10 Dec 2014
- AC C6242: 'Author Comment to Referee #1', Alexander Kann, 30 Jan 2015
RC C5708: 'Comment on "On the skill of high frequency precipitation analyses" by A. Kann et al.', Anonymous Referee #2, 16 Dec 2014
- AC C6246: 'Author Comment to Referee #2', Alexander Kann, 30 Jan 2015

Peer-review completion

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

ED: Reconsider after major revisions (06 Feb 2015) by Uwe Ehret

AR by Alexander Kann on behalf of the Authors (17 Feb 2015) Author's response Manuscript

ED: Referee Nomination & Report Request started (25 Feb 2015) by Uwe Ehret

RR by Anonymous Referee #1 (10 Mar 2015)

Suggestions for revision or reasons for rejection

This version of the paper is improved in many aspects. The title now represents the contents of the paper, the data processing is described in a much more comprehensive way and the figures are significantly improved, where necessary.

The description of the way, radar data are processed reveals significant losses of data quality which are not necessary. A reduction to 14 reflectivity classes, with steps of a factor of roughly 1.8 in rain intensities, is not wise. Using maxcappi data is another source of uncertainties. The position of the WegenerNet relative to the neareast radars is not favorable. Nevertheless, the authors are not responsible for these limitations. They took what is available ("best available radar data") and show the quality of an operational precipitation estimation.

The paper brings a solid insight in the quality of up-to-date QPE routines. I would answer nearly all the questions to the referees according the quality of the paper in a positive way with the following exceptions:

- The 1° beam width in 135 km disctance is 2.3 km (not 2.6, line 24, page 5).
- Line 15, page 7: It should read QC layers 2, 5, and 7 (not 25 and 7).
- The distance of WegenerNet to radar Rauchenwarth is given as 135 km, on page 14, line 8 a different distance of 125 km is cited.
- The last sentence of the second paragraph on page 14 should be the first sentence of the third paragraph.
- In Figs. 8, 10, and 11 rapid-INCA is blue, Radar is green, TAWES is red. Please, use the same coordination of system to color in Fig. 7.

The paper should be publishes with these technical corrections.

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ED: Publish subject to technical corrections (11 Mar 2015) by Uwe Ehret

AR by Alexander Kann on behalf of the Authors (11 Mar 2015) Manuscript

Short summary

The paper introduces a high resolution precipitation analysis system which operates on 1 km x 1 km resolution with high frequency updates of 5 minutes. The ability of such a system to adequately assess the convective precipitation distribution is evaluated by means of an independant, high resolution station network. This dense station network allows for a thorough evaluation of the analyses under different convective situations and of the representativeness error of raingaue measurements.