On the effect of model parameters on forecast objects

Marzban, Caren; Jones, Corinne; Li, Ning; Sandgathe, Scott

doi:https://doi.org/10.5194/gmd-11-1577-2018

Articles | Volume 11, issue 4

https://doi.org/10.5194/gmd-11-1577-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-11-1577-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 4

Methods for assessment of models

|

19 Apr 2018

Methods for assessment of models |

| 19 Apr 2018

On the effect of model parameters on forecast objects

Caren Marzban, Corinne Jones, Ning Li, and Scott Sandgathe

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Final revised paper (published on 19 Apr 2018)
Preprint (discussion started on 13 Nov 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'comments', Anonymous Referee #1, 09 Dec 2017
- AC1: 'Response to Reviewer 1', Caren Marzban, 10 Dec 2017
RC2: 'review of "On the Effect of Model Parameters on Forecast Objects"', Anonymous Referee #2, 13 Dec 2017
- AC2: 'response to Reviewer 2', Caren Marzban, 20 Dec 2017
RC3: 'Referee comment', Anonymous Referee #3, 20 Dec 2017
- AC3: 'response to Reviewer 3', Caren Marzban, 04 Jan 2018

Peer-review completion

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

AR by Caren Marzban on behalf of the Authors (08 Feb 2018) Author's response Manuscript

ED: Referee Nomination & Report Request started (03 Mar 2018) by Paul Ullrich

RR by Anonymous Referee #1 (04 Mar 2018)

RR by Anonymous Referee #3 (20 Mar 2018)

ED: Publish as is (22 Mar 2018) by Paul Ullrich

Short summary

Some numerical models generate "maps", for example temperature or precipitation maps produced by numerical weather prediction models. These maps often contain "objects", for example a storm. Features of these objects are generally affected by the parameters of the numerical model. This paper puts forth a methodology for exposing both the strength and the statistical significance of the effect of the model parameters on object features.