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  Investigating the hidden patterns: A data-driven approach for temporal correlation estimation of errors in rainfall-runoff models

El Ouahabi, T.-A., Andréassian, V., Bourgin, F., Perrin, C. (2023): Investigating the hidden patterns: A data-driven approach for temporal correlation estimation of errors in rainfall-runoff models, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3654

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020888 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020888_1
Genre: Conference Paper

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 Creators:
El Ouahabi, Taha-Abderrahman1, Author
Andréassian, Vazken1, Author
Bourgin, François1, Author
Perrin, Charles1, Author
Affiliations:
1IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations, ou_5011304              

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 Abstract: Streamflow forecasts produced by hydrological models and post-processing approaches provide valuable information for water management and decision-making. Existing post-processing approaches rarely account for temporal correlation in error models and assume their statistical independence. Understanding this correlation is essential for developing robust post-processors of hydrological models, able to provide reliable forecasts across multiple lead times and aggregation timescales.The temporal correlation of errors is complex. It is often non-linear and dynamic, and influenced by many factors. Here, we use a probabilistic framework coupled with a few statistical methods (including among others, machine learning techniques) to estimate the temporal structure of error correlation. We aim to address several research questions: i) detecting and understanding situations that significantly affect the temporal characteristics of errors; ii) improving the reliability of aggregated forecasts by explicitly modelling the autocorrelation structure. We provide an analysis for a large set of French catchments and several reforecast experiments based on the lumped GR6J hydrological model.

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Language(s): eng - English
 Dates: 2023-07-112023-07-11
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.57757/IUGG23-3654
 Degree: -

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Title: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Place of Event: Berlin
Start-/End Date: 2023-07-11 - 2023-07-20

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Title: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Source Genre: Proceedings
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Publ. Info: Potsdam : GFZ German Research Centre for Geosciences
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -