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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

董思言, 熊喆, 延晓冬. RIEMS2.0模式提高分辨率对中国气温模拟能力的影响[J]. 气候与环境研究, 2014, 19(5): 627-635. doi: 10.3878/j.issn.1006-9585.2013.13088
引用本文: 董思言, 熊喆, 延晓冬. RIEMS2.0模式提高分辨率对中国气温模拟能力的影响[J]. 气候与环境研究, 2014, 19(5): 627-635. doi: 10.3878/j.issn.1006-9585.2013.13088
DONG Siyan, XIONG Zhe, YAN Xiaodong. Influence of Increasing RIEMS 2.0 Model’s Resolution on Mean Air Temperature over China[J]. Climatic and Environmental Research, 2014, 19(5): 627-635. doi: 10.3878/j.issn.1006-9585.2013.13088
Citation: DONG Siyan, XIONG Zhe, YAN Xiaodong. Influence of Increasing RIEMS 2.0 Model’s Resolution on Mean Air Temperature over China[J]. Climatic and Environmental Research, 2014, 19(5): 627-635. 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
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

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

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

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