English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Differential imprints of distinct ENSO flavors in global patterns of very low and high seasonal precipitation

Wiedermann, M., Siegmund, J. F., Donges, J. F., Donner, R. V. (2021): Differential imprints of distinct ENSO flavors in global patterns of very low and high seasonal precipitation. - Frontiers in Climate, 3, 618548.
https://doi.org/10.3389/fclim.2021.618548

Item is

Basic

show hide
Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_25293 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_25293_7
Genre: Journal Article

Files

show Files
hide Files
:
wiedermann_enso_si-1.pdf (Supplementary material), 2MB
Name:
wiedermann_enso_si-1.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-
:
25293oa.pdf (Publisher version), 3MB
Name:
25293oa.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Wiedermann, Marc1, Author              
Siegmund, Jonatan F.1, Author              
Donges, Jonathan Friedemann1, Author              
Donner, Reik V.1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              

Content

show
hide
Free keywords: Physics, Atmospheric and Oceanic Physics, physics.ao-ph
 Abstract: The effects of El Niño's two distinct flavors, East Pacific (EP) and Central Pacific (CP)/Modoki El Niño, on global climate variability have been studied intensively in recent years. Most of these studies have made use of linear multivariate statistics or composite analysis. Especially the former assumes the same type of linear statistical dependency to apply across different ENSO phases, which appears not necessarily a justified assumption. Here, we statistically evaluate the likelihood of co-occurrences between very high or very low seasonal precipitation sums over vast parts of the global land surface and the presence of the respective EP and CP types of both, El Niño and La Niña, which are classified based on global surface air temperature anomaly patterns by means of the recently developed climate network transitivity index. By employing event coincidence analysis, we uncover differential imprints of both ENSO flavors on strong wet/dry patterns over distinct regions across the globe, which may severely affect, among others, agricultural and biomass production or public health. We particularly find that EP periods significantly coincide with hydrometeorological anomalies at larger spatial scales, whereas sparser patterns emerge along with CP periods. Our statistical analysis confirms previously reported interrelations for EP periods and uncovers additional distinct regional patterns of very high/low seasonal precipitation, such as increased rainfall over Central Asia alongside CP periods that have to our knowledge not been reported so far. Our results demonstrate that a thorough distinction of El Niño and La Niña into their two respective flavors could be crucial for properly anticipating strong regional hydrometeorological anomalies and associated ecological and socioeconomic impacts.

Details

show
hide
Language(s): -
 Dates: 2017-02-012021-01-082021-01-212021-02-12
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: arXiv: 1702.00218
DOI: 10.3389/fclim.2021.618548
MDB-ID: yes - 3166
PIKDOMAIN: RD1 - Earth System Analysis
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD1 - Earth System Analysis
Organisational keyword: RD4 - Complexity Science
Working Group: Whole Earth System Analysis
Organisational keyword: FutureLab - Earth Resilience in the Anthropocene
Research topic keyword: Atmosphere
Research topic keyword: Climate impacts
Research topic keyword: Extremes
Research topic keyword: Freshwater
Research topic keyword: Oceans
Regional keyword: Global
Model / method: Nonlinear Data Analysis
OATYPE: Gold Open Access
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Frontiers in Climate
Source Genre: Journal, other, oa
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 3 Sequence Number: 618548 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/frontiers-in-climate
Publisher: Frontiers