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81.
During the period between 18 August and 22 September 2006, an ultraviolet
photometric O3 analyzer, a NO-NO2-NOx chemiluminescence
analyzer, and a quartz micro-oscillating-scale particle concentration
analyzer were simultaneously used for monitoring at three different heights
each at Beijing (325-m tower) and Tianjin (255-m tower). These towers belong
to the Institute of Atmospheric Physics (IAP) of the Chinese Academy of
Sciences (CAS) and to the Tianjin Municipal Meteorological Bureau,
respectively. These measurements were used to continuously measure the
atmospheric O3 and NOx volume-by-volume concentrations and the
PM2.5 mass concentration within a vertical gradient. When combined with
meteorological data and information on the variation of vertical
characteristics of the various atmospheric pollutants in the two cities,
analysis shows that these two cities were seriously polluted by both
PM2.5 and O3 during summer and autumn. The highest daily-average
concentrations of PM2.5 near the ground in Beijing and Tianjin reached
183 μg m-3 and 165 μg m-3, respectively, while the O3 concentrations reached 52 ppb and 77 ppb, and NOx concentrations
reached 48 ppb and 62 ppb for these two cities, respectively. The variations
in the daily-average concentrations of PM2.5 between Beijing and
Tianjin were demonstrated to be consistent over time. The concentrations of
PM2.5 measured in Beijing were found to be higher than those in
Tianjin. However, the overall O3 concentrations near the ground in
Tianjin were higher than in Beijing. NOx concentrations in Tianjin were
consistently lower than in Beijing. It was also found that PM2.5
pollution in Beijings atmosphere may also be affected by the pollutants
originating in and delivered from Tianjin, and that Ti 相似文献
82.
83.
本文研究时间序列的变点问题。所给出的统计方法可用来推断一个时间序列是否存在变点,存在几个变点以及变点在什么位置。这种统计推断方法可用于气候阶段的划分。 相似文献
84.
A two-layer primitive equation model is developed in this paper. The capabilities of this model aretested by the use of multiyearly averaged January and July sea surface level pressure fields and windfields which can be diagnosed from the pressure fields. The results show that the ocean surface currentsand undercurrents in the second layer driven by the sea surface wind and the sea surface pressure areclose to the observation. The results are also compared with that of the IAP OGCM and the OSUOGCM. 相似文献
85.
86.
87.
利用贵州省81站1964—2013年秋季(9—11月)雨日数及美国国家环境预报中心/大气研究中心(NCEP/NCAR)再分析资料,借助Morlet小波、合成分析等相关诊断方法,对贵州省秋季雨日数时空特征及其与大气环流的关系进行了分析。结果表明:贵州省秋季雨日数分布由东南部向西北部逐渐增多,一般在30.0~52.3 d。近50年秋季全省平均雨日数为40.5 d,总体呈减少趋势,每10年雨日数减少1.9 d。秋季雨日数突变发生在1987年前后,1964—1987年为偏多时段,1988—2013年为偏少时段,其中1997年以后减少趋势最为明显。近50年贵州秋季雨日序列存在准5 a和2~3 a的振荡周期,其中准5 a振荡最为显著。当贵州秋季雨日异常偏多时,南海上空的水汽通量在贵州地区辐合抬升,来自低纬地区的暖湿空气输送更加活跃,东亚大槽偏强,低纬度地区槽脊略有加深,贵州处于印缅槽前,偏南气流强盛,从而有利于冷、暖空气在贵州地区交汇,形成阴雨天气,造成贵州秋季雨日数异常偏多;反之亦然。 相似文献
88.
89.
基于CMIP5多模式集合资料的中国气温和降水预估及概率分析 总被引:3,自引:1,他引:3
选用国际耦合模式比较计划第五阶段(CMIP5)提供的30个全球大气-海洋耦合模式(AOGCMs)在典型浓度路径(RCPs)情景下气温和降水量的预估结果,采用扰动法,用站点观测资料作为气候背景场替代AOGCM模拟的气候平均,尝试校正气候预估结果的系统性偏差。通过集合方法,用概率的形式给出中国平均气温升高1 ℃,2 ℃和3 ℃以及降水量增加10%,20%和30%概率的空间分布,讨论了中国未来平均气温和降水量可能的变化。结果表明:经过扰动法处理后的气温和降水量预估集合保留了当前气候的局地信息。预估平均气温在中国均有上升,北方地区尤其是青藏高原地区变暖的程度大于南方地区,北方大部分地区平均气温升高的趋势为0.28 ℃/10a。在21世纪初,中国北方地区年平均气温升高1 ℃的可能性超过50%。到了21世纪末期,中国大部分地区平均气温升高2 ℃的可能性超过60%,新疆北部以及青藏高原南部地区气温升高3 ℃的可能性超过50%。预估中国降水量普遍增多,中国北方地区降水量增多的程度要明显大于江淮流域及其以南地区,尤其是西北地区降水量增多非常显著,降水量增多30%的可能性超过70%以上。 相似文献
90.
Relationships between Interannual and Intraseasonal Variations of the Asian-Western Pacific Summer Monsoon Hindcasted by BCC_CSM1.1(m) 总被引:4,自引:0,他引:4
LIU Xiangwen ;WU Tongwen ;YANG Song ;LI Qiaoping ;CHENG Yanjie ;LIANG Xiaoyun ;FANG Yongjie ;JIE Weihua ;NIE Suping 《大气科学进展》2014,31(5):1051-1064
Using hindcasts of the Beijing Climate Center Climate System Model, the relationships between interannual variability (IAV) and intraseasonal variability (ISV) of the Asian-western Pacific summer monsoon are diagnosed. Predictions show reasonable skill with respect to some basic characteristics of the ISV and IAV of the western North Pacific summer monsoon (WNPSM) and the Indian summer monsoon (ISM). However, the links between the seasonally averaged ISV (SAISV) and seasonal mean of ISM are overestimated by the model. This deficiency may be partially attributable to the overestimated frequency of long breaks and underestimated frequency of long active spells of ISV in normal ISM years, although the model is capable of capturing the impact of ISV on the seasonal mean by its shift in the probability of phases. Furthermore, the interannual relationships of seasonal mean, SAISV, and seasonally averaged long-wave variability (SALWV; i.e., the part with periods longer than the intraseasonal scale) of the WNPSM and ISM with SST and low-level circulation are examined. The observed seasonal mean, SAISV, and SALWV show similar correlation patterns with SST and atmospheric circulation, but with different details. However, the model presents these correlation distributions with unrealistically small differences among different scales, and it somewhat overestimates the teleconnection between monsoon and tropical central-eastern Pacific SST for the ISM, but underestimates it for the WNPSM, the latter of which is partially related to the too-rapid decrease in the impact of E1 Nifio-Southern Oscillation with forecast time in the model. 相似文献