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Precipitation prediction over the upper Indus Basin from large-scale circulation patterns using Gaussian processes – CORRIGENDUM

Published online by Cambridge University Press:  05 November 2025

Kenza Tazi Open the ORCID record for Kenza Tazi [Opens in a new window] ,
Andrew Orr Open the ORCID record for Andrew Orr [Opens in a new window] ,
J. Scott Hosking Open the ORCID record for J. Scott Hosking [Opens in a new window]  and
Richard E. Turner

Abstract

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Information

Type
Corrigendum
Information
Environmental Data Science , Volume 4 , 2025 , e49
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press

The authors wish to correct an error in the introduction section of this article. In the published version it is stated:

If ERA5 precipitation is assumed to be close to reality, this application can be considered a proof-of-concept for heterogeneous model output statistics downscaling and bias-correction (Maraun and Widmann, 2017).

This should have read as follows:

If ERA5 precipitation is assumed to be close to reality, this application can be considered a proof-of-concept for inhomogeneous perfect prognosis downscaling and bias-correction (Maraun and Widmann, 2017).

The authors apologise for this error.

References

Tazi, K, Orr, A, Hosking, JS, Turner, RE (2025) Precipitation prediction over the upper Indus Basin from large-scale circulation patterns using Gaussian processes. Environmental Data Science 4, e46. https://doi.org/10.1017/eds.2025.10020.CrossRefGoogle Scholar