RIEMS2.0模式提高分辨率对中国气温模拟能力的影响

董思言; 熊喆; 延晓冬

doi:10.3878/j.issn.1006-9585.2013.13088

RIEMS2.0模式提高分辨率对中国气温模拟能力的影响

doi: 10.3878/j.issn.1006-9585.2013.13088

1.
国家气候中心, 北京 100081
2.
中国科学院大气物理研究所东亚区域气候—环境重点实验室, 北京 100029
3.
北京师范大学, 北京 100875

基金项目: 国家重点基础研究发展计划项目2009CB421100，国家自然科学基金项目91025003，中国科学院战略性先导科技专项XDA05090206

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出版历程
- 收稿日期: 2013-05-17
- 修回日期: 2013-09-16

Influence of Increasing RIEMS 2.0 Model’s Resolution on Mean Air Temperature over China

1.
National Climate Center, Beijing 100081
2.
Key laboratory of Regional Climate-Environment Research for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Science, Beijing 100029
3.
Beijing Normal University, Beijing 100875

摘要

摘要: 利用区域环境集成系统模式（RIEMS2.0）在60 km和30 km两种分辨率下进行中国区域的长期模拟试验（1991～2000年），开展不同分辨率下中国气温平均气候态和年际变率的模拟能力分析研究。结果表明：（1）RIEMS2.0能较好模拟出多数分区多年平均气温的空间分布，与观测空间分布较接近。随着水平分辨率的提高，模式模拟的气温空间分布模拟更精细，使得平均气温的模拟冷偏差减小，模拟结果更趋于实测。对年均温和冬季气温来说，中国及多数分区模拟与观测的偏差减少，且通过显著性检验（P<0.01）；对夏季气温来说，中国及多数分区的偏差增加，气温的模拟能力没有明显提高。（2）对年际变率来说，随着水平分辨率的提高，大部分区域模拟能力有一定程度的提高。特别是年均温和冬季气温的年际变率，多数地区模拟改进效果较好；而夏季气温年际变率的模拟在中国大部分地区没有明显改善。
- RIEMS2.0 /
- 水平分辨率 /
- 中国气温 /
- 数值模拟
Abstract: Climate simulations (1991-2000) at 60-km and 30-km resolutions using the Regional Environmental Integration Model System (RIEMS2.0) were made to test its ability to simulate the mean temperature and inter-annual variability of temperature in China and to comprehensively evaluate the influence of horizontal resolution on temperature simulation. The results showed that, (1) whether at high or low horizontal resolution, RIEMS2.0 can simulate the spatial distribution of mean temperature to a degree that is similar to observational data results. With an improvement in horizontal resolution, results show a systematic cold bias which is even closer to observational data results. In the winter and annual system, the cold bias is reduced in China and in a majority of the regions, and these reductions are significant (P<0.01). In summer, however, a warm bias around China and in the majority of its regions increased, but the simulation ability was not improved with an increase in resolution. (2) Simulation capabilities for the temperature inter-annual variability were significantly improved with increased resolution. In particular, the inter-annual variability of the annual temperature and winter temperature improved the most, and the ability to simulate the inter-annual variability in the winter temperature and the annual temperature in China, and in most of its regions, were also greatly improved. However, the ability to simulate the inter-annual variability of the summer temperature in China and in most of its regions worsened.
- RIEMS2.0 /
- Resolution /
- Chinese air temperature /
- Numerical simulation

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