Development and Testing of a Multi-model Ensemble Coupling Framework View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2016

AUTHORS

Rucong Yu , Tianjun Zhou , Tongwen Wu , Wei Xue , Guangqing Zhou , Xiaoge Xin , Jie Zhang , Wusheng Zhang , Haiping Wu , Zhenchun Huang , Tao Zhang , Huimin Li , Nan Ding , Huang Huang

ABSTRACT

The ensemble method is effective at reducing model uncertainties. In this work, a novel ensemble technology has been developed and employed to the coupling process in the climate system model, forming a flexible multi-model ensemble coupling platform. This platform can perform the couple of the ensemble of multiple atmospheric models or multiple realizations of one atmospheric model with the ocean model, land model, and sea-ice model in a single experiment, which enables the quantification study on the role of atmospheric noise and model uncertainty in coupled model. Multiple initial condition ensemble simulations show that stochastic noise generated by atmospheric dynamics is reduced and can be used to estimate the impact of atmospheric perturbations on the ocean and to identify the impact of atmospheric noise in complex sea–air coupling process; better reproduction of the relationship between ENSO and mid–high-latitude SST in the North Pacific can be achieved compared to the original standard coupled model. To perform IE coupling simulation efficiently and effectively, we further propose a model-based process layout scheme for coupled climate simulation, as well as present a portal for our multi-model ensemble platform. More... »

PAGES

163-208

Book

TITLE

Development and Evaluation of High Resolution Climate System Models

ISBN

978-981-10-0031-7
978-981-10-0033-1

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-981-10-0033-1_4

DOI

http://dx.doi.org/10.1007/978-981-10-0033-1_4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023087420


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289 schema:name Department of Computer Science and Technology, Tsinghua University
290 Ministry of Education Key Laboratory for Earth System Modeling and Center for Earth System Science, Tsinghua University
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