Impact of Optimal Observational Time Window on Coupled Data Assimilation: Simulation with a Simple Climate Model

Zhao, Yuxin; Deng, Xiong; Zhang, Shaoqing; Liu, Zhengyu; Liu, Chang; Vecchi, Gabriel; Han, Guijun; Wu, Xinrong

doi:10.5194/npg-24-681-2017

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Impact of Optimal Observational Time Window on Coupled Data Assimilation: Simulation with a Simple Climate Model

2017
By Zhao, Yuxin ; Deng, Xiong ; Zhang, Shaoqing ; ...
Source: Nonlinear Processes in Geophysics, 24(4)

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Journal Title:

Nonlinear Processes in Geophysics
Personal Author:

Zhao, Yuxin ; Deng, Xiong ; Zhang, Shaoqing ; Liu, Zhengyu ; Liu, Chang ; ... More +

Zhao, Yuxin ; Deng, Xiong ; Zhang, Shaoqing ; Liu, Zhengyu ; Liu, Chang ; Vecchi, Gabriel ; Han, Guijun ; Wu, Xinrong Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; GFDL (Geophysical Fluid Dynamics Laboratory)

OAR (Oceanic and Atmospheric Research) ; GFDL (Geophysical Fluid Dynamics Laboratory) Less -
Description:

Climate signals are the results of interactions of multiple timescale media such as the atmosphere and ocean in the coupled earth system. Coupled data assimilation (CDA) pursues balanced and coherent climate analysis and prediction initialization by incorporating observations from multiple media into a coupled model. In practice, an observational time window (OTW) is usually used to collect measured data for an assimilation cycle to increase observational samples that are sequentially assimilated with their original error scales. Given different timescales of characteristic variability in different media, what are the optimal OTWs for the coupled media so that climate signals can be most accurately recovered by CDA? With a simple coupled model that simulates typical scale interactions in the climate system and twin CDA experiments, we address this issue here.
Keywords:

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Climatology Mathematical Models
Source:

Nonlinear Processes in Geophysics, 24(4)
DOI:

https://doi.org/10.5194/npg-24-681-2017
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Journal Article
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CC BY
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urn:sha256:e180bc6187e6148f932bd4959c7627d274d47d695f7545f821f6ac8b145ecab3
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https://repository.library.noaa.gov/view/noaa/32385/noaa_32385_DS1.pdf
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