NDLI: Prediction of decadal variability of sea surface temperature by a coupled global climate model FGOALS

Content Provider	Springer Nature Link
Author	Wu, Bo Zhou, TianJun
Copyright Year	2012
Abstract	A decadal climate prediction was performed by a coupled global climate model FGOALS_gl developed by the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG) within the Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences. First, an Incremental Analysis Updates (IAU) scheme was applied to assimilate surface and subsurface ocean temperature and salinity fields derived from oceanic objective analysis data, for the initialization of the ocean component of the model. Starting from the initialized states, hindcast integrations were performed with the specified historical solar cycle variations, concentrations of greenhouse gasses and sulfate aerosol, following the standard 20C3M scenario used in phase three of the Coupled Model Intercomparison Project (CMIP3). Based on the hindcast integrations, we performed forecast integrations under the radiative forcing of the A1B scenario in the CMIP3. Compared with the 20C3M run, the hindcast integrations have a much higher ability to simulate the decadal variability of SST (Sea Surface Temperature) in the tropical central-eastern Pacific and mid-latitude northeastern Pacific. This suggests that the ocean initialization is able to enhance the model skill in the regions with large decadal variability. The forecast integrations suggest that the SST in the tropical central-eastern Pacific has reached its trough phase, and will gradually increase in the following 10–15 years. Meanwhile, the global mean surface temperature predicted by the forecast integrations increases slower than that projected by the A1B scenario run over 2000–2010, but faster than the latter after that.
Starting Page	2453
Ending Page	2459
Page Count	7
File Format	PDF
ISSN	10016538
Journal	Chinese Science Bulletin
Volume Number	57
Issue Number	19
e-ISSN	18619541
Language	English
Publisher	SP Science China Press
Publisher Date	2012-04-22
Publisher Place	Heidelberg
Access Restriction	Subscribed
Subject Keyword	decadal prediction CGCM IPCC AR5 Science Earth Sciences Physics Chemistry/Food Science Engineering Life Sciences
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Prediction of decadal variability of sea surface temperature by a coupled global climate model FGOALS_gl developed in LASG/IAP

Probabilistic multimodel ensemble prediction of decadal variability of East Asian surface air temperature based on IPCC-AR5 near-term climate simulations

Probabilistic multimodel ensemble prediction of decadal variability of East Asian surface air temperature based on IPCC-AR5 near-term climate simulations

Interdecadal variations in global climate and earth rotation rate

Decadal changes of the wintertime tropical tropospheric temperature and their influences on the extratropical climate

Weak response of the Atlantic thermohaline circulation to an increase of atmospheric carbon dioxide in IAP/LASG Climate System Model

A physical model for the global mean surface air temperature anomalies over the past century

Decadal-scale variability of warm season temperature in Beijing over the past 2650 years

EnOI‐IAU Initialization Scheme Designed for Decadal Climate Prediction System IAP‐DecPreS

Prediction of decadal variability of sea surface temperature by a coupled global climate model FGOALS_gl developed in LASG/IAP

Similar Documents

Prediction of decadal variability of sea surface temperature by a coupled global climate model FGOALS_gl developed in LASG/IAP

Probabilistic multimodel ensemble prediction of decadal variability of East Asian surface air temperature based on IPCC-AR5 near-term climate simulations

Probabilistic multimodel ensemble prediction of decadal variability of East Asian surface air temperature based on IPCC-AR5 near-term climate simulations

Interdecadal variations in global climate and earth rotation rate

Decadal changes of the wintertime tropical tropospheric temperature and their influences on the extratropical climate

Weak response of the Atlantic thermohaline circulation to an increase of atmospheric carbon dioxide in IAP/LASG Climate System Model

A physical model for the global mean surface air temperature anomalies over the past century

Decadal-scale variability of warm season temperature in Beijing over the past 2650 years

EnOI‐IAU Initialization Scheme Designed for Decadal Climate Prediction System IAP‐DecPreS

Prediction of decadal variability of sea surface temperature by a coupled global climate model FGOALS_gl developed in LASG/IAP