Precipitation measurement and modelling: Uncertainty, variability, observations, ensemble simulation and downscaling

Andreas Langousis*, Roberto Deidda, Alin Andrei Carsteanu, Chistian Onof, Paolo Burlando, Remko Uijlenhoet, András Bárdossy

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

Assessing the intermittent and highly variable character of precipitation in space and time, and modelling its statistical structure, are of crucial importance in a variety of applications, such as the evaluation of hydrological impacts of climate change, assessment of the availability of water resources in space and time, and flood risk estimation and forecasting, to name a few.
Original languageEnglish
Pages (from-to)824-826
JournalJournal of Hydrology
Volume556
Early online date13 Sep 2017
DOIs
Publication statusPublished - Jan 2018

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