Bayesian methods for uncertainty analysis of extremes based on multi-model techniques - DTU Orbit

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Bayesian methods for uncertainty analysis of extremes based on multi-model techniques

Project: PhD

With the same participants

Kvantitativt potentiale for regnvandshåndtering
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Innovativ klimatilpasning med borgerne
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Risk Management of Climate Extremes in an Urban Environment
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Using hydro-economic modelling to support water resources and water quality management in China
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Risk based design in a changing climate
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From surveillance to risk management – Risk management in the water supply
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Reducing uncertainty in future extreme precipitation
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Innovation network for environmental Technology (Innovationsnetværk på miljøteknologi)
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Non-stationary time series models of hydrologic extremes
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Multi-objective management of multi-reservoir systems using Artificial Intelligence
Project

Sunyer Pinya, Maria Antonia (Phd Student)
Arnbjerg-Nielsen, Karsten (Main Supervisor)
Rosbjerg, Dan (Supervisor)

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Status	Current
Period	01-04-11 → 31-03-14

Financing source	Internal funding (public)
Research programme	Institut stipendie (DTU) Samf.

ID: 2332681