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

doi:10.1016/j.jhydrol.2017.09.016

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 journal › Article › Academic › peer-review

7 Citations (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 language	English
Pages (from-to)	824-826
Journal	Journal of Hydrology
Volume	556
Early online date	13 Sept 2017
DOIs	https://doi.org/10.1016/j.jhydrol.2017.09.016
Publication status	Published - Jan 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

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10.1016/j.jhydrol.2017.09.016

Cite this

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

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.",

author = "Andreas Langousis and Roberto Deidda and Carsteanu, \{Alin Andrei\} and Chistian Onof and Paolo Burlando and Remko Uijlenhoet and Andr{\'a}s B{\'a}rdossy",

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T2 - Uncertainty, variability, observations, ensemble simulation and downscaling

AU - Langousis, Andreas

AU - Deidda, Roberto

AU - Carsteanu, Alin Andrei

AU - Onof, Chistian

AU - Burlando, Paolo

AU - Uijlenhoet, Remko

AU - Bárdossy, András

PY - 2018/1

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N2 - 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.

AB - 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.

U2 - 10.1016/j.jhydrol.2017.09.016

DO - 10.1016/j.jhydrol.2017.09.016

M3 - Article

AN - SCOPUS:85035092789

SN - 0022-1694

VL - 556

SP - 824

EP - 826

JO - Journal of Hydrology

JF - Journal of Hydrology

ER -

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

Abstract

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