English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Impact of in-consistency between the climate model and its initial conditions on climate prediction

Liu, X., Köhl, A., Stammer, D., Masuda, S., Ishikawa, Y., & Mochizuki, T. (2017). Impact of in-consistency between the climate model and its initial conditions on climate prediction. Climate Dynamics, 49, 1061-1075. doi:10.1007/s00382-016-3194-4.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Liu, Xueyuan1, Author
Köhl, Armin1, Author           
Stammer, Detlef1, Author           
Masuda, Shuhei2, Author
Ishikawa, Yoichi2, Author
Mochizuki, Takashi2, Author
Affiliations:
1A 3 - Climate Sensitivity and Sea Level, Research Area A: Climate Dynamics and Variability, The CliSAP Cluster of Excellence, External Organizations, ou_1863480              
2external, ou_persistent22              

Content

show
hide
Free keywords: EL-NINO; DECADAL PREDICTIONS; OCEAN; VARIABILITY; ENSEMBLE; PREDICTABILITY; ASSIMILATION; CIRCULATION; SKILL; CMIP5Climate prediction; Initialization; Tropical Pacific; El Nino; Momentum balance;
 Abstract: We investigated the influence of dynamical inconsistency of initial conditions on the predictive skill of decadal climate predictions. The investigation builds on the fully coupled global model "Coupled GCM for Earth Simulator" (CFES). In two separate experiments, the ocean component of the coupled model is full-field initialized with two different initial fields from either the same coupled model CFES or the GECCO2 Ocean Synthesis while the atmosphere is initialized from CFES in both cases. Differences between both experiments show that higher SST forecast skill is obtained when initializing with coupled data assimilation initial conditions (CIH) instead of those from GECCO2 (GIH), with the most significant difference in skill obtained over the tropical Pacific at lead year one. High predictive skill of SST over the tropical Pacific seen in CIH reflects the good reproduction of El Nino events at lead year one. In contrast, GIH produces additional erroneous El Nino events. The tropical Pacific skill differences between both runs can be rationalized in terms of the zonal momentum balance between the wind stress and pressure gradient force, which characterizes the upper equatorial Pacific. In GIH, the differences between the oceanic and atmospheric state at initial time leads to imbalance between the zonal wind stress and pressure gradient force over the equatorial Pacific, which leads to the additional pseudo El Nino events and explains reduced predictive skill. The balance can be reestablished if anomaly initialization strategy is applied with GECCO2 initial conditions and improved predictive skill in the tropical Pacific is observed at lead year one. However, initializing the coupled model with self-consistent initial conditions leads to the highest skill of climate prediction in the tropical Pacific by preserving the momentum balance between zonal wind stress and pressure gradient force along the equatorial Pacific.

Details

show
hide
Language(s): eng - English
 Dates: 2017
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: ISI: 000407244700018
DOI: 10.1007/s00382-016-3194-4
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Climate Dynamics
  Other : Clim. Dyn.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Heidelberg : Springer-International
Pages: - Volume / Issue: 49 Sequence Number: - Start / End Page: 1061 - 1075 Identifier: ISSN: 0930-7575
CoNE: https://pure.mpg.de/cone/journals/resource/954925568800