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arXiv physics/0401143physics.ao-phphysics.data-an
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火山强迫改善大气-海洋耦合环流模式的尺度性能

Volcanic forcing improves Atmosphere-Ocean Coupled General Circulation Model scaling performance

Dmitry Vyushin, Igor Zhidkov, Shlomo Havlin, Armin Bunde, Stephen Brenner

摘要:

最近的大气-海洋耦合环流模式(AOGCM)对20世纪气候的模拟考虑了人为和自然强迫,使研究观测记录中发现的长期温度相关性的起源成为可能。我们研究集合实验与NCAR PCM为10个不同的历史情景,包括没有强迫,温室气体,硫酸盐气溶胶,臭氧,太阳,火山强迫和各种组合,如它的自然,人为和所有强迫。我们比较的标度指数特征的长期相关性的观测和模拟模式数据的16个代表性的陆地站和16个站点在大西洋这些情况。我们发现,列入火山强迫在AOGCM大大提高PCM标度行为。包含火山强迫的情景能够很好地再现观测到的陆地标度指数,指数约为0.65,与站距海洋的距离无关。对于大西洋,与火山强迫的情况下,稍微低估了观察到的持久性表现出平均指数为0.74,而不是0.85重建数据。

英文摘要:

Recent Atmosphere-Ocean Coupled General Circulation Model (AOGCM) simulations of the twentieth century climate, which account for anthropogenic and natural forcings, make it possible to study the origin of long-term temperature correlations found in the observed records. We study ensemble experiments performed with the NCAR PCM for 10 different historical scenarios, including no forcings, greenhouse gas, sulfate aerosol, ozone, solar, volcanic forcing and various combinations, such as it natural, anthropogenic and all forcings. We compare the scaling exponents characterizing the long-term correlations of the observed and simulated model data for 16 representative land stations and 16 sites in the Atlantic Ocean for these scenarios. We find that inclusion of volcanic forcing in the AOGCM considerably improves the PCM scaling behavior. The scenarios containing volcanic forcing are able to reproduce quite well the observed scaling exponents for the land with exponents around 0.65 independent of the station distance from the ocean. For the Atlantic Ocean, scenarios with the volcanic forcing slightly underestimate the observed persistence exhibiting an average exponent 0.74 instead of 0.85 for reconstructed data.

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