globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2017MS001194
Scopus记录号: 2-s2.0-85041074703
论文题名:
Adjoint-Based Climate Model Tuning: Application to the Planet Simulator
作者: Lyu G; , Köhl A; , Matei I; , Stammer D
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2018
卷: 10, 期:1
起始页码: 207
结束页码: 222
语种: 英语
英文关键词: Optical properties ; Parameter estimation ; Uncertainty analysis ; Water absorption ; Adjoint methods ; Chaos synchronization ; Cloud optical properties ; Coupled climate model ; Optimized parameter ; Short-wave radiation ; Top of the atmospheres ; Uncertain parameters ; Climate models ; adjoint method ; air temperature ; chaotic dynamics ; climate modeling ; data set ; optical property ; parameter estimation ; shortwave radiation ; simulator ; top of atmosphere
英文摘要: The adjoint method is used to calibrate the medium complexity climate model “Planet Simulator” through parameter estimation. Identical twin experiments demonstrate that this method can retrieve default values of the control parameters when using a long assimilation window of the order of 2 months. Chaos synchronization through nudging, required to overcome limits in the temporal assimilation window in the adjoint method, is employed successfully to reach this assimilation window length. When assimilating ERA-Interim reanalysis data, the observations of air temperature and the radiative fluxes are the most important data for adjusting the control parameters. The global mean net longwave fluxes at the surface and at the top of the atmosphere are significantly improved by tuning two model parameters controlling the absorption of clouds and water vapor. The global mean net shortwave radiation at the surface is improved by optimizing three model parameters controlling cloud optical properties. The optimized parameters improve the free model (without nudging terms) simulation in a way similar to that in the assimilation experiments. Results suggest a promising way for tuning uncertain parameters in nonlinear coupled climate models. © 2018. The Authors.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75666
Appears in Collections:影响、适应和脆弱性
气候变化与战略

Files in This Item:

There are no files associated with this item.


作者单位: Institute of Oceanography, Center for Earth System Research and Sustainability (CEN), University of Hamburg, Hamburg, Germany

Recommended Citation:
Lyu G,, Köhl A,, Matei I,et al. Adjoint-Based Climate Model Tuning: Application to the Planet Simulator[J]. Journal of Advances in Modeling Earth Systems,2018-01-01,10(1)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Lyu G]'s Articles
[, Köhl A]'s Articles
[, Matei I]'s Articles
百度学术
Similar articles in Baidu Scholar
[Lyu G]'s Articles
[, Köhl A]'s Articles
[, Matei I]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Lyu G]‘s Articles
[, Köhl A]‘s Articles
[, Matei I]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.