Articles | Volume 24, issue 2
Nonlin. Processes Geophys., 24, 125–139, 2017
https://doi.org/10.5194/npg-24-125-2017

Special issue: Current perspectives in modelling, monitoring, and predicting...

Nonlin. Processes Geophys., 24, 125–139, 2017
https://doi.org/10.5194/npg-24-125-2017

Research article 06 Mar 2017

Research article | 06 Mar 2017

Insights on the role of accurate state estimation in coupled model parameter estimation by a conceptual climate model study

Xiaolin Yu et al.

Data sets

Application of the cross wavelet transform and wavelet coherence to geophysical time series (www.glaciology.net/wavelet-coherence) A. Grinsted, M. J. Moore, and S. Jevrejeva https://doi.org/10.5194/npg-11-561-2004

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Short summary
Parameter estimation (PE) with a global coupled data assimilation (CDA) system can improve the runs, but the improvement remains in a limited range. We have to come back to simple models to sort out the sources of noises. Incomplete observations and the chaotic nature of the atmosphere have much stronger influences on the PE through the state estimation (SE) process. Here, we propose the guidelines of how to enhance the signal-to-noise ratio under partial SE status.