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<sup>10</sup>Be in late deglacial climate simulated by ECHAM5-HAM – Part 2: Isolating the solar signal from <sup>10</sup>Be deposition
oleh: U. Heikkilä, X. Shi, S. J. Phipps, A. M. Smith
| Format: | Article |
|---|---|
| Diterbitkan: | Copernicus Publications 2014-04-01 |
Deskripsi
This study investigates the effect of deglacial climate on the deposition of the solar proxy <sup>10</sup>Be globally, and at two specific locations, the GRIP site at Summit, Central Greenland, and the Law Dome site in coastal Antarctica. The deglacial climate is represented by three 30 year time slice simulations of 10 000 BP (years before present = 1950 CE), 11 000 and 12 000 BP, compared with a preindustrial control simulation. The model used is the ECHAM5-HAM atmospheric aerosol–climate model, driven with sea-surface temperatures and sea ice cover simulated using the CSIRO Mk3L coupled climate system model. The focus is on isolating the <sup>10</sup>Be production signal, driven by solar variability, from the weather- or climate-driven noise in the <sup>10</sup>Be deposition flux during different stages of climate. The production signal varies at lower frequencies, dominated by the 11 year solar cycle within the 30 year timescale of these experiments. The climatic noise is of higher frequencies than 11 years during the 30 year period studied. We first apply empirical orthogonal function (EOF) analysis to global <sup>10</sup>Be deposition on the annual scale and find that the first principal component, consisting of the spatial pattern of mean <sup>10</sup>Be deposition and the temporally varying solar signal, explains 64% of the variability. The following principal components are closely related to those of precipitation. Then, we apply ensemble empirical decomposition (EEMD) analysis to the time series of <sup>10</sup>Be deposition at GRIP and at Law Dome, which is an effective method for adaptively decomposing the time series into different frequency components. The low-frequency components and the long-term trend represent production and have reduced noise compared to the entire frequency spectrum of the deposition. The high-frequency components represent climate-driven noise related to the seasonal cycle of e.g. precipitation and are closely connected to high frequencies of precipitation. These results firstly show that the <sup>10</sup>Be atmospheric production signal is preserved in the deposition flux to surface even during climates very different from today's both in global data and at two specific locations. Secondly, noise can be effectively reduced from <sup>10</sup>Be deposition data by simply applying the EOF analysis in the case of a reasonably large number of available data sets, or by decomposing the individual data sets to filter out high-frequency fluctuations.