A Comprehensive Observational Analysis for the Effects of Gas Cannons on Clouds and Precipitation     

吴彬  王丹丹  李艳芳  尹浩  杜爽  黎朋红 《热带气象学报(英文版)》2022,28(2):237-251

To analyze the effects of gas cannons on clouds and precipitation, multisource observational data, including those from National Centers for Environmental Prediction (NCEP) reanalysis, Hangzhou and Huzhou new-generation weather radars, laser disdrometer, ground-based automatic weather station, wind profiler radar, and Lin''an C-band dual polarization radar, were adopted in this study. Based on the variational dual-Doppler wind retrieval method and the polarimetric variables obtained by the dual-polarization radar, we analyzed the microphysical processes and the variations in the macro - and microphysical quantities in clouds from the perspective of the synoptic background before precipitation enhancement, the polarization echo characteristics before, during and after enhancement, and the evolution of the fine three-dimensional kinematic structure and the microphysical structure. The results show that the precipitation enhancement operation promoted the development of radar echoes and prolonged their duration, and both the horizontal and vertical wind speeds increased. The dual-polarization radar echo showed that the diameter of the precipitation particles increased, and the concentration of raindrops increased after precipitation enhancement. The raindrops were lifted to a height corresponding to 0 to -20 ℃ due to vertical updrafts. Based on the disdrometer data during precipitation enhancement, the concentration of small raindrops (lgNw) showed a significant increase, and the mass-weighted diameter Dm value decreased, indicating that the precipitation enhancement operation played a certain“lubricating”effect. After the precipitation enhancement, the concentration of raindrops did not change much compared with that during the enhancement process, while the Dm increased, corresponding to an increase in rain intensity. The results suggest the positive effect of gas cannons on precipitation enhancement.  相似文献   

Fengyun-4 Geostationary Satellite-Based Solar Energy Nowcasting System and Its Application in North China     

Chunlin HUANG  Hongrong SHI  Ling GAO  Mengqi LIU  Qixiang CHEN  Disong FU  Shu WANG  Yuan YUAN  Xiang′ao XIA 《大气科学进展》2022,39(8):1316-1328

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   

Aerosol-Cloud-Precipitation Interactions in a Closed-cell and Non-homogenous MBL Stratocumulus Cloud     

Xiaojian ZHENG  Xiquan DONG  Dale M. WARD  Baike XI  Peng WU  Yuan WANG 《大气科学进展》2022,39(12):2107-2123

A closed-cell marine stratocumulus case during the Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) aircraft field campaign is selected to examine the heterogeneities of cloud and drizzle microphysical properties and the aerosol-cloud-precipitation interactions. The spatial and vertical variabilities of cloud and drizzle microphysics are found in two different sets of flight legs: Leg-1 and Leg-2, which are parallel and perpendicular to the cloud propagation, respectively. The cloud along Leg-2 was close to adiabatic, where cloud-droplet effective radius and liquid water content linearly increase from cloud base to cloud top with less drizzle. The cloud along Leg-1 was sub-adiabatic with lower cloud-droplet number concentration and larger cloud-droplet effective, but higher drizzle droplet number concentration, larger drizzle droplet median diameter and drizzle liquid water content. The heavier drizzle frequency and intensity on Leg-1 were enhanced by the collision-coalescence processes within cloud due to strong turbulence. The sub-cloud precipitation rate on Leg-1 was significantly higher than that along Leg-2. As a result, the sub-cloud accumulation mode aerosols and CCN on Leg-1 were depleted, but the coarse model aerosols increased. This further leads to a counter-intuitive phenomenon that the CCN is less than cloud-droplet number concentration for Leg-1. The average CCN loss rates are ?3.89 \begin{document}$\mathrm{c}{\mathrm{m}}^{-3}\;{\mathrm{h}}^{-1}$\end{document} and ?0.77 \begin{document}$\mathrm{c}{\mathrm{m}}^{-3}\;{\mathrm{h}}^{-1}$\end{document} on Leg-1 and Leg-2, respectively. The cloud and drizzle heterogeneities inside the same stratocumulus can significantly alter the sub-cloud aerosols and CCN budget. Hence it should be treated with caution in the aircraft assessment of aerosol-cloud-precipitation interactions.  相似文献   

A Machine Learning-based Cloud Detection Algorithm for the Himawari-8 Spectral Image     

Chao LIU  Shu YANG  Di DI  Yuanjian YANG  Chen ZHOU  Xiuqing HU  Byung-Ju SOHN 《大气科学进展》2022,39(12):1994-2007

Cloud Masking is one of the most essential products for satellite remote sensing and downstream applications. This study develops machine learning-based (ML-based) cloud detection algorithms using spectral observations for the Advanced Himawari Imager (AHI) onboard the Himawari-8 geostationary satellite. Collocated active observations from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) are used to provide reference labels for model development and validation. We introduce both daytime and nighttime algorithms that differ according to whether solar band observations are included, and the artificial neural network (ANN) and random forest (RF) techniques are adopted for comparison. To eliminate the influences of surface conditions on cloud detection, we introduce three models with different treatments of the surface. Instead of developing independent ML-based algorithms, we add surface variables in a binary way that enhances the ML-based algorithm accuracy by ~5%. Validated against CALIOP observations, we find that our daytime RF-based algorithm outperforms the AHI operational algorithm by improving the accuracy of cloudy pixel detection by ~5%, while at the same time, reducing misjudgment by ~3%. The nighttime model with only infrared observations is also slightly better than the AHI operational product but may tend to overestimate cloudy pixels. Overall, our ML-based algorithms can serve as a reliable method to provide cloud mask results for both daytime and nighttime AHI observations. We furthermore suggest treating the surface with a set of independent variables for future ML-based algorithm development.  相似文献   

Identification of Convective and Stratiform Clouds Based on the Improved DBSCAN Clustering Algorithm     

Yuanyuan ZUO  Zhiqun HU  Shujie YUAN  Jiafeng ZHENG  Xiaoyan YIN  Boyong LI 《大气科学进展》2022,39(12):2203-2212

A convective and stratiform cloud classification method for weather radar is proposed based on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. To identify convective and stratiform clouds in different developmental phases, two-dimensional (2D) and three-dimensional (3D) models are proposed by applying reflectivity factors at 0.5° and at 0.5°, 1.5°, and 2.4° elevation angles, respectively. According to the thresholds of the algorithm, which include echo intensity, the echo top height of 35 dBZ (ET), density threshold, and ε neighborhood, cloud clusters can be marked into four types: deep-convective cloud (DCC), shallow-convective cloud (SCC), hybrid convective-stratiform cloud (HCS), and stratiform cloud (SFC) types. Each cloud cluster type is further identified as a core area and boundary area, which can provide more abundant cloud structure information. The algorithm is verified using the volume scan data observed with new-generation S-band weather radars in Nanjing, Xuzhou, and Qingdao. The results show that cloud clusters can be intuitively identified as core and boundary points, which change in area continuously during the process of convective evolution, by the improved DBSCAN algorithm. Therefore, the occurrence and disappearance of convective weather can be estimated in advance by observing the changes of the classification. Because density thresholds are different and multiple elevations are utilized in the 3D model, the identified echo types and areas are dissimilar between the 2D and 3D models. The 3D model identifies larger convective and stratiform clouds than the 2D model. However, the developing convective clouds of small areas at lower heights cannot be identified with the 3D model because they are covered by thick stratiform clouds. In addition, the 3D model can avoid the influence of the melting layer and better suggest convective clouds in the developmental stage.  相似文献   

海啸波作用下泥沙运动——Ⅱ.床沙组成变化分析     

蒋昌波  陈杰  程永舟  邓斌  隆院男 《水科学进展》2012,23(6):802-807

在波浪水槽实验的基础上,对海啸波作用下的床沙组成变化规律开展研究。实验采用1/10~1/20的组合坡度,选取N波作为入射波。实验对波高进行采集,对波浪的上爬、回落和水跃过程进行拍摄记录,对每个波作用后的地形进行测量,并对初始和最终的床面顶层泥沙进行采样筛分。实验结果表明,N波作用下泥沙在离岸区水跃发生区域堆积,淤积沙坝泥沙粒径呈粗化趋势。同时采用规则波和非规则波进行对比,波浪作用后形成岸滩也为沙坝剖面,淤积沙坝泥沙粒径呈细化趋势,结果均遵循Çelikoğlu提出的泥沙运动的基本规律,细颗粒泥沙会在强烈的紊动作用下从床面中被筛选出来,并被搬运到低紊动地区,此过程造成了剧烈紊动区泥沙的粗化。  相似文献   

瞬时频率属性在沉积相研究中的应用-以白音查干凹陷西部腾格尔组为例     

王玲  孙廷彬  白静波  李聪 《矿物岩石》2012,32(2):81-85

利用白音查干地区的测井、录井及地震资料。通过定性、定量两种手段进行瞬时频率与岩性的相关性分析,认为瞬时频率能够较好的区分砂泥岩。当砂岩百分比小于0.12时,瞬时频率属性为低频;当砂岩百分比为0.16～0.33时,瞬时频率为高频。通过瞬时频率切片与沉积相平面展布图对比分析发现,不同相类型的砂体在瞬时频率切片中具有明显不同的特征,辫状河三角洲砂体表现为沿物源方向延伸的枝状或朵状中高频区,滩砂表现为不规则滩状的高频区,坝砂在盆地边缘呈高频带状分布。此外,瞬时频率还可以进行物源分析、三角洲朵叶体识别和扇体叠置识别,是进行沉积体系、砂体展布和储层预测等方面研究的重要手段。  相似文献   

油气输导体系研究现状及存在问题的探讨     

牟瑜  张金功  席辉 《地下水》2012,(4):178-180

油气输导体系是油气成藏体系的必要元素,也是油气运移研究的薄弱环节。人们对于这一概念的阐述各不相同,绝大多数学者将其划分为高孔渗砂体、断层及裂缝、不整合面以及它们两两或全部的复合输导体系四种类型,目前对输导体系的研究也集中在这四种类型上。对高孔渗砂体的研究主要集中在孔隙结构、渗透率和优势运移通道上;对断层的研究主要集中在断层泥、非渗透性物质、两盘特征、断层面应力及断层活动性上;对不整合面的研究主要集中在其产状、性质、类型及岩性组合等方面。输导体系的类型划分应当以渗透率非均质性为依据,同时充分考虑烃源岩。从盆地沉积演化的角度出发研究各类输导体系的分布,也是油气运移研究领域中的薄弱环节。  相似文献   

散粒体斜坡运动堆积特征试验研究     

何娜  傅荣华  卜祥航  汪留洋  李川  邓荫万  陈国文  潘宏坚 《地质灾害与环境保护》2012,23(1):50-53

散粒体斜坡俗称“溜砂坡”,对其运动和堆积特征的研究是溜砂坡防治的关键.在斜坡模型架上模拟碎块石的运动过程和堆积过程,探索其颗粒大小、形态与斜坡角的关系.通过堆积体纵剖面取样发现,溜砂坡堆积呈现分形结构,其颗粒质量粒径分布分维数随黏粒含量的增大而增大.  相似文献   

板桥学校液化带工程地质条件及液化土层特性          下载免费PDF全文

侯龙清  陈松  陈革  徐红梅  程丽红 《水文地质工程地质》2012,39(1):102-106

砂土液化是地震主要次生地质灾害之一。在512汶川地震中,德阳等地发生较大面积砂土液化现象。为详细了解液化带工程地质基本特征,选择板桥学校液化带进行详细液化震害调查、钻探和现场试验。结果表明:（1）液化震害典型,主要包括喷水冒砂、地表裂缝、侧移和基础下沉等;（2）砾石层是唯一的无粘性土层,砾石层分为性质不同的全新世沉积和更新世沉积两部分,未见砂层分布;（3）液化土层是全新统砾石层,该砾石的颗粒大小分布特征表现为级配不良,并有粒组缺失现象;（4）非液化盖层对喷出物有过滤作用,砂粒等细颗粒容易沿裂缝喷出地表,卵砾石等粗颗粒受阻留在土层中,导致喷出物为砂土。  相似文献