首页|三种再分析资料计算青藏高原大气热源的比较

三种再分析资料计算青藏高原大气热源的比较

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选取NCEP1、NCEP2和ERA-Interim中1981—2010年共30 a的风场、温度场和地面气压场再分析资料,利用"倒算法"计算青藏高原大气热源,对三套资料的计算结果进行了多方面比较分析,并运用Morlet小波法分析了区域平均的高原热源的时间变化特征.结果显示:(1)三套资料计算的季节平均的热源在空间分布上基本一致,夏季高原大部分地区为热源,冬季除高原西北部是热源外,其余地区为冷源.其中,ERA-Interim与NCEP1的分布更为接近;(2)三套资料均表明:就30 a平均而言,青藏高原大气为显著的热源,分布上ERA-Interim与NCEP1相似,量值上NCEP的两套资料更为接近;(3)区域平均热源的月际变化十分一致,相关系数均超过99%显著性检验.NCEP的两套资料对年际变化的描述更为一致,二者相关系数为0.88,ERA-Interim与NCEP两套资料的结果略有差距,相关系数分别为0.78和0.70;(4)整体而言,ERA-Interim资料在反映高原热源方面较优,但也要注意考察该资料给出的高原南坡强热源的真实合理性.
Comparison of the Atmospheric Heat Sources over the Tibetan Plateau Computed by Three Reanalysis Data Sets
Based on the NCEP/NCAR, NCEP/DOE and ERA-Interim four-times daily reanalyzed data, including wind,temperature and surface pressure elements from 1981 to 2010,the atmospheric heat sources over the Tibetan Plateau are computed by the inverted arithmetic. This paper compares and analyzes the characteristics of the atmospheric heat sources distribution over the Tibetan Plateau from three data sets in different aspects. Furthermore,the long-term trend of regional averaged heat sources is discussed by Morlet wavelet method. Results show that :(1)the three reanalysis products all have revealed the similar pattern in the seasonal mean in the past 30 years. In summer,most parts of the Tibetan Plateau are covered by positive heat sources,while in winter the Tibetan Plateau is mostly covered by negative heat sources expect the north-west parts of the Plateau. In addition,ERA-Interim is closer to NCEP/NCAR than NCEP/DOE. (2)In the aspect of 30-year average of atmospheric heat sources over the Tibetan Plateau,the three reanalyzed data sets show that Tibetan Plateau is a significant heating pump. ERA-Interim is more alike to NCEP/NCAR in the distribution than NCEP/DOE while much closer to NCEP/DOE in the magnitude.(3)Long-term trend of the heat sources over the Tibetan Plateau from three sets show a significant agreement. The correlation coefficients of the heat source inter-monthly variation in 30 years among three data sets exceed 99% significant level. In the aspect of the inter-annual variation,NCEP/NCAR and NCEP/DOE are more resemble. The correlation coefficient between them is 0.88. ERA-Interim is slightly different from the two others. The correlation coefficients between ERA-Interim and NCEP/NCAR is 0.78 and with the another is 0.70.(4)The reasonability of ERA-Interim should be pay more attention to when analyzing the heat source condition of southern tip of the plateau.

atmospheric heat sourcesTibetan Plateaureanalysis datacomparison

田雨润、李国平、刘云丰

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成都信息工程大学大气科学学院,四川 成都610225

大气热源 青藏高原 再分析资料 对比

国家自然科学基金国家自然科学基金公益性行业(气象)科研专项

9133721541675057GYHY201206042

2017

沙漠与绿洲气象
新疆维吾尔自治区气象学会 中国气象局乌鲁木齐沙漠气象研究所

沙漠与绿洲气象

CSTPCD
影响因子:1.007
ISSN:1002-0799
年,卷(期):2017.11(4)
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