Tijana Janjic

Professor

University Name

Germany

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Articles (11)

Comparison of uncertainty quantification methods for cloud simulation

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Year:

2023

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review

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Year:

2023

Understanding the dependence of mean precipitation on convective treatment and horizontal resolution in tropical aquachannel experiments

Article Link

Year:

2023

Combining data assimilation and machine learning to estimate parameters of a convective‐scale model

Article Link

Year:

2022

Ensemble Kalman filter based data assimilation for tropical waves in the MJO skeleton model

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Year:

2022

Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes

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Year:

2021

Weakly Constrained LETKF for Estimation of Hydrometeor Variables in Convective‐Scale Data Assimilation

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Year:

2021

Representing Microphysical Uncertainty in Convective‐Scale Data Assimilation Using Additive Noise

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Year:

2021

Interpreting estimated observation error statistics of weather radar measurements using the ICON-LAM-KENDA system

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Year:

2021

Waves to Weather: Exploring the limits of predictability of weather

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Year:

2021

A data assimilation algorithm for predicting rain

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Year:

2021

Collaborators (6)

Axel Seifert

Deutscher Wetterdienst

GERMANY

Stefan Kneifel

University of Cologne

GERMANY

Clemens Simmer

University Professor

Rheinische Friedrich-Wilhelms-Universität Bonn

GERMANY

Heike Kalesse-Los

Junior Professor

Leipzig University

GERMANY

Alberto de Lozar

Deutscher Wetterdienst

GERMANY

Silke Trömel

lecturer, group leader

Rheinische Friedrich-Wilhelms-Universität Bonn

GERMANY

Tijana Janjic

Research Interests

Explore related searches

Contact this professor

Articles (11)

Comparison of uncertainty quantification methods for cloud simulation

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review

Understanding the dependence of mean precipitation on convective treatment and horizontal resolution in tropical aquachannel experiments

Combining data assimilation and machine learning to estimate parameters of a convective‐scale model

Ensemble Kalman filter based data assimilation for tropical waves in the MJO skeleton model

Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes

Weakly Constrained LETKF for Estimation of Hydrometeor Variables in Convective‐Scale Data Assimilation

Representing Microphysical Uncertainty in Convective‐Scale Data Assimilation Using Additive Noise

Interpreting estimated observation error statistics of weather radar measurements using the ICON-LAM-KENDA system

Waves to Weather: Exploring the limits of predictability of weather

A data assimilation algorithm for predicting rain

Collaborators (6)

Axel Seifert

Stefan Kneifel

Clemens Simmer

Heike Kalesse-Los

Alberto de Lozar

Silke Trömel

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