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91.
研究的第一部分讨论了如何有效应用集合预报误差的科学方案,确定了集合预报误差在GRAPES(Global Regional Assimilation and PrEdiction System)全球4DVar(four dimensional variational data assimilation)中应用的分析框架。在此基础上研究了针对集合预报误差实际应用于GRAPES全球4DVar,解决接近或超过100个集合样本数时高效生成的计算效率问题,以及与GRAPES全球4DVar匹配的同化关键参数确定问题。选择基于4DVar的集合资料同化方法生成集合样本,通过将第1个样本极小化迭代过程中产生的预调节信息用于其他样本极小化做预调节,将计算效率提高了2倍。通过时间错位扰动方法增加集合样本数,实现集合样本增加到3倍。对集合方差进行膨胀,并选择水平局地化相关尺度为流函数背景误差水平相关的1.4倍。通过批量数值试验方法确定背景误差与集合预报误差的权重系数,对60个集合样本当集合预报误差权重为0.7时预报效果最好。对北半球夏、冬两季各52 d的批量试验表明,对于南、北半球En4DVar (ensemble 4DVar)较4DVar的改进在冬季主要集中在700—30 hPa,而在夏季主要集中在400—150 hPa。赤道地区受季节影响较小,En4DVar对位势高度、风场与温度的改进都较为明显,且经向风场的改进最为显著。文中研发的集合预报误差在GRAPES全球4DVar中应用的方法合理可行。   相似文献   
92.
Surface solar irradiance (SSI) nowcasting (0–3 h) is an effective way to overcome the intermittency of solar energy and to ensure the safe operation of grid-connected solar power plants. In this study, an SSI estimate and nowcasting system was established using the near-infrared channel of Fengyun-4A (FY-4A) geostationary satellite. The system is composed of two key components: The first is a hybrid SSI estimation method combining a physical clear-sky model and an empirical cloudy-sky model. The second component is the SSI nowcasting model, the core of which is the derivation of the cloud motion vector (CMV) using the block-matching method. The goal of simultaneous estimation and nowcasting of global horizontal irradiance (GHI) and direct normal irradiance (DNI) is fulfilled. The system was evaluated under different sky conditions using SSI measurements at Xianghe, a radiation station in the North China Plain. The results show that the accuracy of GHI estimation is higher than that of DNI estimation, with a normalized root-mean-square error (nRMSE) of 22.4% relative to 45.4%. The nRMSE of forecasting GHI and DNI at 30–180 min ahead varied within 25.1%–30.8% and 48.1%–53.4%, respectively. The discrepancy of SSI estimation depends on cloud occurrence frequency and shows a seasonal pattern, being lower in spring–summer and higher in autumn–winter. The FY-4A has great potential in supporting SSI nowcasting, which promotes the development of photovoltaic energy and the reduction of carbon emissions in China. The system can be improved further if calibration of the empirical method is improved.  相似文献   
93.
Wetland ecosystems are the most important natural methane (CH4) sources, whose fluxes periodically fluctuate. Methanogens (methane producers) and methanotrophs (methane consumers) are considered key factors affecting CH4 fluxes in wetlands. However, the symbiotic relationship between methanogens and methanotrophs remains unclear. To help close this research gap, we collected and analyzed samples from four soil depths in the Dajiuhu subalpine peatland in January, April, July, and October 2019 and acquired seasonal methane flux data from an eddy covariance (EC) system, and investigated relationships. A phylogenetic molecular ecological networks (pMENs) analysis was used to identify keystone species and the seasonal variations of the co-occurrence patterns of methanogenic and methanotrophic communities. The results indicate that the seasonal variations of the interactions between methanogenic and methanotrophic communities contributed to CH4 emissions in wetlands. The keystone species discerned by the network analysis also showed their importance in mediating CH4 fluxes. Methane (CH4) emissions in wetlands were lowest in spring; during this period, the most complex interactions between microbes were observed, with intense competition among methanogens while methanotrophs demonstrated better cooperation. Reverse patterns manifested themselves in summer when the highest CH4 flux was observed. Methanoregula formicica was negatively correlated with CH4 fluxes and occupied the largest ecological niches in the spring network. In contrast, both Methanocella arvoryzae and Methylocystaceae demonstrated positive correlations with CH4 fluxes and were better adapted to the microbial community in the summer. In addition, soil temperature and nitrogen were regarded as significant environmental factors to CH4 fluxes. This study was successful in explaining the seasonal patterns and microbial driving mechanisms of CH4 emissions in wetlands.  相似文献   
94.
Developed regions of the world represent a major atmospheric methane(CH_4) source, but these regional emissions remain poorly constrained. The Yangtze River Delta(YRD) region of China is densely populated(about 16% of China's total population) and consists of large anthropogenic and natural CH_4 sources. Here, atmospheric CH_4 concentrations measured at a 70-m tall tower in the YRD are combined with a scale factor Bayesian inverse(SFBI) modeling approach to constrain seasonal variations in CH_4 emissions. Results indicate that in 2018 agricultural soils(AGS, rice production) were the main driver of seasonal variability in atmospheric CH_4 concentration. There was an underestimation of emissions from AGS in the a priori inventories(EDGAR—Emissions Database for Global Atmospheric Research v432 or v50), especially during the growing seasons. Posteriori CH_4 emissions from AGS accounted for 39%(4.58 Tg, EDGAR v432) to 47%(5.21 Tg, EDGAR v50) of the total CH_4 emissions. The posteriori natural emissions(including wetlands and water bodies) were1.21 Tg and 1.06 Tg, accounting for 10.1%(EDGAR v432) and 9.5%(EDGAR v50) of total emissions in the YRD in2018. Results show that the dominant factor for seasonal variations in atmospheric concentration in the YRD was AGS,followed by natural sources. In summer, AGS contributed 42%(EDGAR v432) to 64%(EDGAR v50) of the CH_4 concentration enhancement while natural sources only contributed about 10%(EDGAR v50) to 15%(EDGAR v432). In addition, the newer version of the EDGAR product(EDGAR v50) provided more reasonable seasonal distribution of CH_4 emissions from rice cultivation than the old version(EDGAR v432).  相似文献   
95.
基于欧洲中期天气预报中心再分析资料ERA5,对GIIRS/FY-4A温度反演廓线在我国台风高发期东海和南海海区的反演精度进行研究,结果表明:(1)东海海区,无云时GIIRS质量控制0的数据总体RMSE为1.71 K,150~450 hPa高度范围内RMSE小于1 K,450 hPa至近海面RMSE在2 K以内。质量控制1的数据反演精度低且随高度的增加误差增大;有云时,质量控制0和1的反演数据总体RMSE为4.72 K和5.55 K。(2)南海海区,无云时,质量控制0的数据总体RMSE为1.67 K,150~800 hPa范围内RMSE小于1 K,反演精度较东海海区略高。质量控制1的数据RMSE为5.07 K。有云时,质量控制0和1的数据RMSE为6.68 K和7.56 K。(3)随着台风“利奇马”等级加强直至最大等级(海上发展阶段),GIIRS可信度较高的反演数据量呈现下降趋势,反演台风周边热力结构存在诸多不确定性,需要借助其他资料进行验证。   相似文献   
96.
本文首先研究了4D数据一体化多媒体电子地图集的理论和信息机理,包括4D数据在电子地图集中的集成、融合和应用的信息机理,多源多类信息交互认知和传输机理,4D信息的查询、分析、模拟、调控和表达的信息机理,以及4D数据一体化电子地图集的理论框架。其次,文章深入研究和解决了建立4D一体化多媒体电子地图集过程中的诸多技术方法问题,例如多源多类数据的集成和融合、基于主导数据库的多重表达、多媒体地图动画、基于4D数据的信息分析和量算、生态环境信息动态仿真和虚拟表达等。在论文第三部分,文章介绍了作者研发的《云南省生态环境多媒体电子地图集》成果,包括其结构、功能、内容、超媒体链接等方面的设计,查询功能和分析量算功能的开发,以及本电子地图集的分析应用成果。  相似文献   
97.
基于制造业企业网络视角的城市网络核心—边缘结构的研究将加深对城市网络演化规律的理解。利用2020年中国制造业500强企业网络数据和隶属联系模型构建城市网络,研究了中国城市网络核心—边缘结构的演化特征,定量测度了核心—边缘结构的影响因素,并根据国际生产折衷理论解析了城市网络地位分异的动力机制。研究发现: 2005—2020年,核心区块的城市数量逐渐增加,主要由直辖市、经济特区以及东、中部地区的省会城市组成,这些城市通过互惠性的链接关系形成了凝聚子群,网络权力较为集中;边缘区块的城市则主要位于中、西部地区,城市间经济联系相对稀疏,整体网络结构并不稳定,城市的发展受到了网络资本的约束。关键资源、基础设施和区位优势是影响中国城市网络地位的决定性因素,择优选择、网络邻近和路径依赖构成了中国城市网络核心—边缘结构演化的动力机制,这将进一步增强核心城市的网络地位。在网络环境下,城市间的差距趋于扩大,城市网络地位的提升取决于城市在网络中的影响力,中国城市化政策需要做出相应调整。  相似文献   
98.
利用湟源台四分量钻孔应变观测的分钟值、1 sps、10 sps和100 sps四种不同采样率的观测数据,通过自检分析、同震应变阶分析和频谱分析等方法研究青海玛多M7.4地震同震变化特征。研究结果表明,分钟采样记录的地震波信息缺失严重,用分钟采样数据进行地震波初动、同震变化幅度等研究将会得到信度较低的结论;采样率越高,记录应变地震波信息的能力越强,但100 sps采样和10 sps采样结果相差不大,10 sps采样已能记录到比较全面的应变地震波信息;同震应变阶的变化性质和变化幅度与采样率无关;未来布设四分量钻孔应变仪时,建议应将采样率至少提高至1 sps。  相似文献   
99.
鄂尔多斯盆地镇北地区长3储层微观非均质性的实验分析   总被引:10,自引:0,他引:10  
刘林玉  张龙  王震亮  高潮 《沉积学报》2007,25(2):224-229
油气储层的微观非均质性特征是储层地质学研究的重要内容之一。本文的目的是研究鄂尔多斯盆地镇北地区长3储层微观非均质性特征,研究方法是利用真实砂岩微观模型实验。通过实验发现鄂尔多斯盆地镇北地区长3和储层为致密型砂岩,真实砂岩微观模型实验直观地显示出鄂尔多斯盆地镇北地区长3储层具有很强的微观非均质性,砂岩的成岩作用和孔隙结构是影响本区长3储层微观非均质性的主要原因。在低渗透砂岩中,溶蚀作用引起砂岩产生强烈的非均质性,而这些砂岩则形成长3储层的高渗带。  相似文献   
100.
The relationship between dissolved cadmium (Cd) and phosphate (PO4) was examined at three stations in the subtropical area near the Ryukyu Islands in May 1999. Preformed PO4 was obtained using the Redfield ratio in order to separate the surface water and the other layers in this study area. Almost 0 μM (−0.043 μM to 0.094 μM) was estimated in the layers above 300 m and 250 m at Sts. 1 and 3 and at St. 2, respectively. Up to these depths, water was considered to be uniform, and these layers were defined as the surface water in this study area. In the surface water, the slopes of the regression lines of the Cd-PO4 plot were 0.162, 0.156, and 0.226 (nM/μM) at Sts. 1, 2, and 3, respectively, and these values were much closer to the estimated regenerated ratio of Cd to PO4 from the Apparent Oxygen Utilization (AOU)-Cd/PO4 plots, which was 0.197 (nM/μM) in this study area. Below surface layers, the slopes of the Cd-PO4 plot changed to 0.371, 0.352, and 0.362 (nM//μM) at Sts. 1, 2, and 3, respectively. In the relationships between Cd and PO4, clear deviations or kinks were observed at three stations at a PO4 concentration of approximately 0.2 μM in the plot, which was attributable to the discontinuity of surface water and the other layers across the North Pacific subtropical mode water. In studies of the interaction between surface water and biogenic particles concerning the Cd/PO4 ratio, separate analyses of seawater (surface water and the other layers) should be carried out to obtain the individual surface water ratio because the Cd/PO4 ratio in the surface water is expected to differ from that of the underlying water. Furthermore, the biological fractionation of these constituents is based on the surface water ratio. This revised version was published online in July 2006 with corrections to the Cover Date.  相似文献   
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