Alexandra Nauditt

Researcher and Lecturer

Technische Hochschule Koln

Germany

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Alexandra Nauditt is a Researcher and Lecturer at the Technical University Cologne in Germany. Her research areas focus on drought representation, climate model performance, and integrated systems for water, energy, and food. Recent publications include works on the Drought Representation Index (DRIP) and methodologies for evaluating drought forecasting tools in various geographical contexts.

Articles (13)

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2025

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2024

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2024

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2023

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2023

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2022

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2022

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2021

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2021

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2020

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2020

Collaborators (3)

Lars Ribbe

TH Köln - University of Applied Sciences

GERMANY

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Ian McNamara

Forschungszentrum Jülich GmbH Institut für Bio- und Geowissenschaften Agrosphäre 3

GERMANY

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Werner Platzer

Head

Fraunhofer Institute for Solar Energy Systems

GERMANY

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Alexandra Nauditt

Research Interests

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Articles (13)

The Methodological Framework for DRIP: Drought Representation Index for CMIP Model Performance.

Development of DRIP - drought representation index for CMIP climate model performance, application to Southeast Brazil

Capacidade adaptativa às secas visando segurança hídrica: uma revisão sistemática

OWEFE—open modeling framework for integrated water, energy, food, and environment systems

Evaluating Markov chains and Bayesian networks as probabilistic meteorological drought forecasting tools in the seasonally dry tropics of Costa Rica

Evaluating tropical drought risk by combining open access gridded vulnerability and hazard data products

Streamflow droughts aggravated by human activities despite management

On the selection of precipitation products for the regionalisation of hydrological model parameters

Modelling water resources for planning irrigation development in drought-prone southern Chile

Combining satellite-based rainfall data with rainfallrunoff modelling to simulate low flows in a Southern Andean catchment

How well do gridded precipitation and actual evapotranspiration products represent the key water balance components in the Nile Basin?

Drought impacts on water quality and potential implications for agricultural production in the Maipo River Basin, Central Chile

RF-MEP: A novel Random Forest method for merging gridded precipitation products and ground-based measurements

Collaborators (3)

Lars Ribbe

Ian McNamara

Werner Platzer

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