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107 Publications visible to you, out of a total of 107
Modeling and predicting spatio-temporal dynamics of PM_2.5 concentrations through time-evolving covariance models

Abstract

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Authors: Ghulam A. Qadir, Ying Sun

Date Published: 2025

Publication Type: Journal

Deep learning for postprocessing global probabilistic forecasts on subseasonal time scales

Abstract

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Authors: Nina Horat, Sebastian Lerch

Date Published: 1st Mar 2024

Publication Type: Journal

Non-crossing quantile regression neural network as a calibration tool for ensemble weather forecasts

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Authors: Mengmeng Song, Dazhi Yang, Sebastian Lerch, Xiang’ao Xia, Gokhan Mert Yagli, Jamie M. Bright, Yanbo Shen, Bai Liu, Xingli Liu, Martin János Mayer

Date Published: 1st Mar 2024

Publication Type: Journal

Easy uncertainty quantification (EasyUQ): Generating predictive distributions from single-valued model output

Abstract

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Authors: Eva-Maria Walz, Alexander Henzi, Johanna Ziegel, Tilmann Gneiting

Date Published: 8th Feb 2024

Publication Type: Journal

Testing quantile forecast optimality

Abstract

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Authors: Jack Fosten, Daniel Gutknecht, Marc-Oliver Pohle

Date Published: 8th Feb 2024

Publication Type: Journal

Learning to forecast: The Probabilistic Time Series Forecasting Challenge

Abstract

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Authors: Johannes Bracher, Nils Koster, Fabian Krüger, Sebastian Lerch

Date Published: 1st Feb 2024

Publication Type: Journal

Comparative evaluation of point process forecasts

Abstract

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Authors: Jonas R. Brehmer, Tilmann Gneiting, Marcus Herrmann, Warner Marzocchi, Martin Schlather, Kirstin Strokorb

Date Published: 1st Feb 2024

Publication Type: Journal

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