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  Using a causal effect network approach to quantify the impact of ENSO teleconnections on summer monsoon precipitation over the Himalayas and key regional circulations

Muszynski, G., Orr, A., Roy, I., Di Capua, G., Pritchard, H. D., Hosking, J. S. (2026): Using a causal effect network approach to quantify the impact of ENSO teleconnections on summer monsoon precipitation over the Himalayas and key regional circulations. - Quarterly Journal of the Royal Meteorological Society, 152, 776, e70114.
https://doi.org/10.1002/qj.70114

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Externe Referenzen

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externe Referenz:
https://psl.noaa.gov/data/timeseries/month/ (Forschungsdaten)
Beschreibung:
ENSO index
OA-Status:
Keine Angabe
externe Referenz:
https://doi.org/10.24381/cds.6860a573 (Forschungsdaten)
Beschreibung:
ERA5 monthly averaged data on pressure levels from 1940 to present
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Keine Angabe
externe Referenz:
https://github.com/jakobrunge/tigramite (Code)
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The causal time-series analysis Python package: Tigramite 5.0.
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Keine Angabe

Urheber

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 Urheber:
Muszynski, Grzegorz1, Autor
Orr, Andrew1, Autor
Roy, Indrani1, Autor
Di Capua, Giorgia2, Autor                 
Pritchard, Hamish D.1, Autor
Hosking, J. Scott1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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Schlagwörter: causal effect networks ENSO teleconnections Himalayas monsoon Hadley circulation regional Walker circulation summer monsoon precipitation
 Zusammenfassung: We perform a causal analysis to quantify the direct causal links on intraseasonal time-scales associated with the influence of El Niño–Southern Oscillation (ENSO) teleconnections on summer monsoon Himalayan precipitation (SMHP) and two key coupled regional circulations, which are the monsoon Hadley circulation (MHC) and the component of the regional Walker circulation (RWC) over the Himalayas. This is achieved by using a causal effect network (CEN) approach to show graphically the direction and strength of linkages between four monthly climate indices representing ENSO, SMHP, RWC, and MHC from 1940 to 2022 with a time lag of one month. Depending on the complexity of the CENs constructed, the results show causal effect (CE) values as follows: (i) ENSO to SMHP of 0.33 to 0.44 (i.e., a one standard deviation increase in ENSO causes a decrease in SMHP of between 0.33 and 0.44 standard deviations with a lag of one month), (ii) ENSO to MHC of 0.12 to 0.15, and (iii) ENSO to RWC of 0.17 to 0.20. These are interpreted as an increase in ENSO (analogous to the El Niño phase) causing a substantial decrease in Himalayan precipitation, as well as weakening the key regional circulations. Further results showed CE values from MHC to SMHP of 0.32 to 0.43 and from RWC to SMHP of 0.30 to 0.37. These are interpreted as a strengthening of both the regional Walker circulation and the monsoon Hadley circulation causing a substantial increase in Himalayan precipitation. Finally, the approach was used to clarify the coupled interactions between RWC and MHC, which showed a CE value of 0.14 to 0.17 from RWC to MHC and from MHC to RWC. This suggests positive feedback between the two regional circulations.

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Sprache(n): eng - English
 Datum: 2025-12-312026-02-012026-04-01
 Publikationsstatus: Final veröffentlicht
 Seiten: 17
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1002/qj.70114
PIKDOMAIN: RD1 - Earth System Analysis
Organisational keyword: RD1 - Earth System Analysis
Working Group: Climate Extremes
MDB-ID: No MDB - stored outside PIK (see locators/paper)
OATYPE: Hybrid Open Access
 Art des Abschluß: -

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Titel: Quarterly Journal of the Royal Meteorological Society
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 152 (776) Artikelnummer: e70114 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals414
Publisher: Wiley