English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Consistent increase in East Asian Summer Monsoon rainfall and its variability under climate change over China in CMIP6

Katzenberger, A., Levermann, A. (2024): Consistent increase in East Asian Summer Monsoon rainfall and its variability under climate change over China in CMIP6. - Earth System Dynamics, 15, 4, 1137-1151.
https://doi.org/10.5194/esd-15-1137-2024

Item is

Files

show Files
hide Files
:
30160oa.pdf (Publisher version), 12MB
Name:
30160oa.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show
hide
Locator:
https://zenodo.org/doi/10.5281/zenodo.13234608 (Supplementary material)
Description:
This repository contains data and code necessary for replication of the publication.

Creators

show
hide
 Creators:
Katzenberger, Anja1, 2, Author              
Levermann, Anders1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2Submitting Corresponding Author, Potsdam Institute for Climate Impact Research, ou_29970              

Content

show
hide
Free keywords: -
 Abstract: The East Asian Monsoon (EAM) dominates the climate over the densely populated region of eastern China and adjacent regions and therefore influences a fifth of the world's population. Thus, it is highly relevant to assess the changes in the central characteristics of the East Asian Summer Monsoon (EASM) under future warming in the latest generation of coupled climate models of the Coupled Model Intercomparison Project Phase 6 (CMIP6). We apply a set of selection criteria to 34 CMIP6 models to identify the six best performing (TOP6) models that best capture the EASM in the reference period 1995–2014. All of these models project an increase in June–August rainfall independent of the underlying emission scenario. The multi-model mean increase is 16.5 % under SSP5-8.5, 11.8 % under SSP3-7.0, 12.7 % under SSP2-4.5 and 9.3 % under SSP1-2.6 in the period 2081–2100 compared to 1995–2014. For China, the projected monsoon increase is slightly higher (12.6 % under SSP1-2.6 and 18.1 % under SSP5-8.5). The EASM rainfall will particularly intensify in southeastern China, Taiwan and North Korea. The multi-model mean indicates a linear relationship of the EASM rainfall depending on the global mean temperature that is relatively independent of the underlying scenario: per degree of global warming, the rainfall is projected to increase by 0.17 mm d−1, which refers to 3.1 % of rainfall in the reference period. It is thus predominately showing a “wet regions get wetter” pattern. The changes in the wind fields in the region are relatively small indicating the minor importance of dynamic factors, while pointing towards thermodynamic factors as responsible for the rainfall increase. The interannual variability is also robustly projected to increase between 17.6 % under SSP1-2.6 and 23.8 % under SSP5-8.5 in the multi-model mean between 2051–2100 and 1965–2014. Comparing the same periods, extremely wet seasons are projected to occur 7 times more often under SSP5-8.5.

Details

show
hide
Language(s): eng - English
 Dates: 2024-08-222024-08-22
 Publication Status: Finally published
 Pages: 15
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.5194/esd-15-1137-2024
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Monsoon
Research topic keyword: Atmosphere
Regional keyword: Asia
MDB-ID: No MDB - stored outside PIK (see locators/paper)
OATYPE: Gold Open Access
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Earth System Dynamics
Source Genre: Journal, SCI, Scopus, p3, oa
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 15 (4) Sequence Number: - Start / End Page: 1137 - 1151 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1402282
Publisher: Copernicus