第33回 ESCセミナー
Coastal upwelling regions: an online perspective
- 日時
- 2007年12月21日(金) 13:30-15:00
- 場所
- 横浜研究所 シミュレータ研究棟1階 大会議室
- 講演者
- Dr. John Donners (University of Reading)
- 使用言語
- 英語
要旨
Coupled climate models often suffer from large biases in regions adjacent to coastlines, most prominently off the eastern boundaries of Africa and America, where interactions between atmospheric winds and clouds, and ocean upwelling and SST, are poorly simulated. Traditionally, global climate models were too coarse to resolve the important processes and interactions in these regions and therefore modelling studies used regional atmosphere- or ocean-only models. Although these areas only occupy 0.5% of the global ocean, they account for 11% of the global primary production transported to the thermocline and 20% of global fish catch (Kearns and Carr, 2003), and hence are an important part of the carbon cycle and our food supply. Observations show that these regions are very sensitive to climate change (McGregor et al., 2007).
The seasonal cycle of SST shows different improvements with increases in ocean and atmosphere mesh size in our matrix of coupled climate models: while the standard resolution HadGEM model shows significant but opposite-signed biases in summer and winter, the high resolution HiGEM model follows the observations more closely. Although a higher resolution in either the atmosphere or the ocean improves the simulation, both are needed to give a good simulation throughout the year. The increased atmospheric resolution improves the radiation balance over these stratocumulus areas in summer, while the ocean resolution moderates the seasonal cycle through a stronger upwelling response.
High resolution climate model output and observational datasets require large amounts of disk space and cpu to process for further analysis. This could be a bottleneck in their adoption by a broad range of users. New online tools can provide web access to systems that host these datasets and are powerful enough to analyse the data. Jade (Joint analysis of datasets and experiments) combines different datasets into an integrated interface. It allows for direct comparisons of multiple datasets with different kinds of filters (means, masks, etc.) applied to the input data, which can be visualized in different plot types (qq, scatter, etc.).
問い合わせ先
地球シミュレータセンター複雑性シミュレーション研究グループ
高橋 桂子
Phone : 045-778-5834
Fax : 045-778-5493
e-mail :
