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.

Data sets

MEPS Archive Norwegian Meteorological Institute https://thredds.met.no/thredds/catalog/meps25epsarchive/catalog.html

Radar accr archive (Norway) Norwegian Meteorological Institute https://thredds.met.no/thredds/catalog/remotesensingradaraccr/catalog.html

Frost API MET Norway https://frost.met.no/

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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.