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气象:2019,45(12):1718-1726
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多源资料在青藏高原大气热源计算中的适用性分析
王美蓉,郭栋,钟珊珊
(南京信息工程大学资料同化研究与应用中心/气象灾害教育部重点实验室/气候与环境变化国际合作联合实验室/气象灾害预报预警与评估协同创新中心,南京 210044)
Comparision of the Multi-Source Datasets in Calculation of the Atmospheric Heat Sources over the Tibetan Plateau
WANG Meirong,GUO Dong,ZHONG Shanshan
(Joint Center for Data Assimilation Research and Applications/Key Laboratory of Meteorological Disaster, Ministry of Education/Joint International Research Laboratory of Climate and Environment Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044)
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投稿时间:2019-04-25    修订日期:2019-07-13
中文摘要: 大气热源是高原气象学的理论要点,研究其计算方法及其适用性,对加深高原气象学的认识,开拓“高原气象学”课程学生的视野,都具有重要意义。然而,精确计算大气热源仍是个挑战。本文详细介绍了大气热源两种计算方法,即正算法和倒算法,并基于站点观测、卫星辐射资料(ISCCP和SRB)及4套再分析资料(NCEP/NCAR、NCEP/DOE、ERA-Interim和JRA55),比较了不同资料计算所得夏季高原热源多尺度变率的差异。结果显示利用正算法时,辐射资料的选择需慎重;而在利用倒算法时,再分析资料的选择则需根据热源的研究尺度而定,不同再分析资料差异颇大。就长期趋势变化而言,再分析结果<Q1>-JRA55最接近观测;而在年际尺度上,<Q1>-ERAI与<Q1>-JRA55两套结果能近似重复观测计算所得热源变率;在季节内尺度上,多套再分析资料差异性缩小,均可细致刻画高原夏季热源变化周期,在高原地区均有较好的适用性。
Abstract:Atmospheric heat source is one of the main points of the theory of plateau meteorology. The studies on its calculation method and applicability are of great significance to deepen the understanding of plateau meteorology and broaden the horizon of students of this course. The precise calculation of atmospheric heat source remains a challenge. We introduced two methods for calculating the atmospheric heat sources in detail. Based on historical observations of meterological stations, satellite-based radiation datasets (ISCCP and SRB) and four reanalysis datasets (NCEP/NCAR, NCEP/DOE, ERA-Interim and JRA55), we calculated the atmospheric heat sources in summer season over the Tibetan Plateau and compared their differences in multiscale vaiabilities. The results showed that radiation data should be carefully selected in calculating the atmospheric column energy budget. When the atmospheric apparent heat sources are calculated, the reanalysis date should be carefully selected according to the focus of the timescale owing to their quite different performances. In terms of the long-term trend, <Q1>-JRA55 is the closest to observations; on the interannual time scale, the results of <Q1>-ERAI and <Q1>-JRA55 can repeat the variability of the heat source from observations; and on the intraseasonal oscillation, the differences of multiple sets of reanalysis data have been narrowed, and they all can be used well to describe the changes of the heat source over the Tibetan Plateau.
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基金项目:国家重点研发计划(2018YFC1505602)和国家自然科学基金项目(41605039、41807434、91637105、41725018、91337218、91637312、41675039)共同资助
引用文本:
王美蓉,郭栋,钟珊珊,2019.多源资料在青藏高原大气热源计算中的适用性分析[J].气象,45(12):1718-1726.
WANG Meirong,GUO Dong,ZHONG Shanshan,2019.Comparision of the Multi-Source Datasets in Calculation of the Atmospheric Heat Sources over the Tibetan Plateau[J].Meteor Mon,45(12):1718-1726.