Articles | Volume 28, issue 1
Nonlin. Processes Geophys., 28, 61–91, 2021
https://doi.org/10.5194/npg-28-61-2021
Nonlin. Processes Geophys., 28, 61–91, 2021
https://doi.org/10.5194/npg-28-61-2021

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 et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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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 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 Alberto Carrassi
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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.