Tropical and mid-latitude teleconnections interacting with the Indian summer monsoon rainfall: a theory-guided causal effect network approach
-
Published:2020-01-17
Issue:1
Volume:11
Page:17-34
-
ISSN:2190-4987
-
Container-title:Earth System Dynamics
-
language:en
-
Short-container-title:Earth Syst. Dynam.
Author:
Di Capua GiorgiaORCID, Kretschmer MarleneORCID, Donner Reik V.ORCID, van den Hurk BartORCID, Vellore Ramesh, Krishnan RaghavanORCID, Coumou Dim
Abstract
Abstract. The alternation of active and break phases in Indian summer monsoon
(ISM) rainfall at intraseasonal timescales characterizes each ISM season.
Both tropical and mid-latitude drivers influence this intraseasonal ISM
variability. The circumglobal teleconnection observed in boreal summer
drives intraseasonal variability across the mid-latitudes, and a two-way
interaction between the ISM and the circumglobal teleconnection pattern has
been hypothesized. We use causal discovery algorithms to test the
ISM circumglobal teleconnection hypothesis in a causal framework. A robust
causal link from the circumglobal teleconnection pattern and the North
Atlantic region to ISM rainfall is identified, and we estimate the normalized
causal effect (CE) of this link to be about 0.2 (a 1 standard deviation
shift in the circumglobal teleconnection causes a 0.2 standard deviation
shift in the ISM rainfall 1 week later). The ISM rainfall feeds back on
the circumglobal teleconnection pattern, however weakly. Moreover, we
identify a negative feedback between strong updraft located over India and
the Bay of Bengal and the ISM rainfall acting at a biweekly timescale, with
enhanced ISM rainfall following strong updraft by 1 week. This mechanism
is possibly related to the boreal summer intraseasonal oscillation. The
updraft has the strongest CE of 0.5, while the Madden–Julian oscillation
variability has a CE of 0.2–0.3. Our results show that most of the ISM
variability on weekly timescales comes from these tropical drivers, though
the mid-latitude teleconnection also exerts a substantial influence.
Identifying these local and remote drivers paves the way for improved
subseasonal forecasts.
Funder
Nederlandse Organisatie voor Wetenschappelijk Onderzoek Bundesministerium für Bildung und Forschung
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
Reference62 articles.
1. Anandh, P. C., Vissa, N. K., and Broderick, C.: Role of MJO in modulating
rainfall characteristics observed over India in all seasons utilizing TRMM,
Int. J. Climatol., 38, 2352–2373, https://doi.org/10.1002/joc.5339, 2018. 2. Bello, G. A., Angus, M., Pedemane, N., Harlalka, J. K., Semazzi, F. H. M.,
Kumar, V., and Samatova, N. F.: Response-Guided Community Detection:
Application to Climate Index Discovery, in: Machine Learning and Knowledge
Discovery in Databases, Springer-Verlag, Portugal, 736–751, 2015. 3. Benjamini, Y. and Hochberg, Y.: Controlling the False Discovery Rate: a
Practical and Powerful Approach to Multiple Testing, J. R. Stat. Soc. Ser.
B, 57, 289–300, https://doi.org/10.1111/j.2517-6161.1995.tb02031.x, 1995. 4. Benjamini, Y. and Yekutieli, D.: The control of the false discovery rate in
multiple testing under dependency, Ann. Stat., 29, 1165–1188,
https://doi.org/10.1214/aos/1013699998, 2001. 5. Beverley, J. D., Woolnough, S. J., Baker, L. H., Johnson, S. J., and
Weisheimer, A.: The northern hemisphere circumglobal teleconnection in a
seasonal forecast model and its relationship to European summer forecast
skill, Clim. Dynam., 52, 3759–3771, https://doi.org/10.1007/s00382-018-4371-4,
2019.
Cited by
35 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|