Ensemble-based statistical interpolation with Gaussian anamorphosis for the spatial analysis of precipitation

Lussana, Cristian; Nipen, Thomas N.; Seierstad, Ivar A.; Elo, Christoffer A.

doi:https://doi.org/10.5194/npg-28-61-2021

Articles | Volume 28, issue 1

https://doi.org/10.5194/npg-28-61-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/npg-28-61-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 28, issue 1

Research article

|

22 Jan 2021

Research article |

| 22 Jan 2021

Ensemble-based statistical interpolation with Gaussian anamorphosis for the spatial analysis of precipitation

Cristian Lussana, Thomas N. Nipen, Ivar A. Seierstad, and Christoffer A. Elo

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Final revised paper (published on 22 Jan 2021)
Preprint (discussion started on 19 Jun 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of "Ensemble-based statistical interpolation with Gaussian anamorphosis for the spatial analysis of precipitation" by Lussana et al.', Anonymous Referee #1, 03 Aug 2020
RC2: 'A Geostatistician's review of "Ensemble-based statistical interpolation..." by Lussana et al.', Anonymous Referee #2, 26 Aug 2020
EC1: 'Summary comment on the first round of review', Alberto Carrassi, 27 Aug 2020
AC1: 'Authors response to reviewers comment', Cristian Lussana, 21 Sep 2020
- EC2: 'Upload a revised version of the manuscript', Alberto Carrassi, 25 Sep 2020

Peer-review completion

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

AR by Cristian Lussana on behalf of the Authors (10 Nov 2020) Author's response Manuscript

ED: Publish subject to technical corrections (27 Nov 2020) by Natale Alberto Carrassi

AR by Cristian Lussana on behalf of the Authors (01 Dec 2020) Author's response Manuscript

Post-review adjustments

AA: Author's adjustment | EA: Editor approval

AA by Cristian Lussana on behalf of the Authors (14 Jan 2021) Author's adjustment Manuscript

EA: Adjustments approved (19 Jan 2021) by Natale Alberto Carrassi

Short summary

An unprecedented amount of rainfall data is available nowadays, such as ensemble model output, weather radar estimates, and in situ observations from networks of both traditional and opportunistic sensors. Nevertheless, the exact amount of precipitation, to some extent, eludes our knowledge. The objective of our study is precipitation reconstruction through the combination of numerical model outputs with observations from multiple data sources.