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

If ERA5 precipitation is assumed to be close to reality, this application can be considered a proof-ofconcept for

Authors

Andrew Orr (ORCID: https://orcid.org/0000-0001-5111-8402)
Kenza Tazi (ORCID: https://orcid.org/0000-0002-8169-6673)
J. Scott Hosking (ORCID: https://orcid.org/0000-0002-3646-3504)
Richard E. Turner (ORCID: https://orcid.org/0000-0003-0066-0984)

Publication Details

Journal: Environmental Data Science
Published: 2025-01-01
DOI: https://doi.org/10.1017/eds.2025.10023
Primary Topic: Meteorological Phenomena and Simulations
Type: article
Field-Weighted Citation Impact: 0.00

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article

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

Andrew Orr, Kenza Tazi, J. Scott Hosking, Richard E. Turner

Jan 1, 2025

Environmental Data Science

Meteorological Phenomena and Simulations

article

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

Andrew Orr, Kenza Tazi, J. Scott Hosking, Richard E. Turner

January 1, 2025article en

Abstract

If ERA5 precipitation is assumed to be close to reality, this application can be considered a proof-ofconcept for

Environmental Data ScienceVol. 4

Openalex Percentile: Top 62%

Meteorological Phenomena and Simulations

DOI Open Access PDF OpenAlex

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Precipitation prediction over the upper Indus Basin from large-scale circulation patterns using Gaussian processes – CORRIGENDUM — Andrew Orr, Kenza Tazi, et al. · Environmental Data Science (2025) | TGRS Research Map | TGRS