基于GRU神经网络的雷州半岛近海岸能见度短临预报研究

近海岸大气能见度变化具有复杂的非线性和局地性特征,且近海岸气象观测站少,一直是精细化预报业务的难点。利用GRU(Gated Recurrent Unit)神经网络,采用广东省湛江市国家基本气象站及其周边上下游观测资料,构建了雷州半岛近海岸能见度1 h时效短临预报的多站GRU模型、单站GRU模型和逐步回归预报模型,并进行了检验评估。结果表明,相比传统的逐步回归方法,GRU神经网络能更好地识别上下游能见度的时空变化特征,多站GRU模型平均绝对误差(MAE)、均方根误差(RMSE)、决定系数(R2)评分均明显好于多元逐步回归模型。模型结构对能见度短临预报效果至关重要,将上下游的气象特征引入到能见度短临预报模型可显著提升预报效果。多站GRU模型在个例检验中较单站GRU模型的MAE、RMSE分别下降了36%和29%,R2提高了30%,表明多站GRU神经网络对能见度预报具有明显优势,为近海岸能见度的精细化短临预报提供了新思路。     

Comparison of Microphysical Characteristics of Warm-sector, Frontal and Shearline Heavy Rainfall During the Pre-summer Rainy Season in South China

Warm-sector heavy rainfall (WR), shear-line heavy rainfall (SR), and frontal heavy rainfall (FR) are three types of rainfall that frequently occur during the pre-summer rainy season in south China. In this research, we investigated the differences in microphysical characteristics of heavy rainfall events during the period of 10-15 May 2022 based on the combined observations from 11 S-band polarimetric radars in south China. The conclusions are as follows: (1) WR has the highest radar echo top height, the strongest radar echo at all altitudes, the highest lightning density, and the most active ice-phase process, which suggests that the convection is the most vigorous in the WR, moderate in the FR, and the weakest in the SR. (2) Three types of rainfall are all marine-type precipitation, the massweighted mean diameter (Dm, mm) and the intercept parameter (Nw, mm-1 m-3 ) of the raindrops in the WR are the largest. (3) The WR possesses the highest proportion of graupel compared with the FR and SR, and stronger updrafts and more abundant water vapor supply may lead to larger raindrops during the melting and collision-coalescence processes. (4) Over all the heights, liquid and ice water content in the WR are higher than those in the SR and FR, the ratio of ice to liquid water content in the WR is as high as 27% when ZH exceeds 50 dBZ, definitely higher than that in the SR and FR, indicating that the active ice-phase process existing in the WR is conducive to the formation of heavy rainfall.     

Comparison of Microphysical Characteristics Between Warm-sector and Frontal Heavy Rainfall in the South of China

During the April-June raining season,warm-sector heavy rainfall(WR) and frontal heavy rainfall(FR) often occur in the south of China,causing natural disasters.In this study,the microphysical characteristics of WR and FR events from 2016 to 2022 are analyzed by using 2-dimensional video disdrometer(2DVD) data in the south of China.The microphysical characteristics of WR and FR events are quite different.Compared with FR events,WR events have higher concentration of D<5.3 mm(especially D <1 ...     

大亚湾溶解氧分布特征及环境影响因子研究

基于2004-2010年间大亚湾海域的环境监测数据,分析了溶解氧的水平分布特征、年际变化规律及主要环境影响因子。分析结果表明,表层溶解氧水平分布均匀,底层浓度梯度明显,城镇入海口和大亚湾核电站附近溶解氧含量较低;表层溶解氧逐年变化不大,底层的年际变化较为显著,大亚湾中央位置溶解氧的年际变化幅度较大;经与各环境因子进行相关性分析得知无机氮是影响溶解氧变化的主要环境因子,二者呈负相关。     

矿区泥石流形成条件的力学分析——以贵州省开阳县洋水河泥石流为例

贵州省开阳地区富含磷矿矿床,是我国少有的特大磷矿区。从1958年开阳磷矿建矿至今,期间由于大量的开采磷矿、爆破岩石、修建道路、建设矿区等,曾经诱发了多次崩塌、滑坡、泥石流等自然灾害。研究区域内大量矸石、矿渣和山体滑坡、崩塌堆积体等堆积于洋水河流域内,为泥石流暴发提供了大量的物源,强降雨条件下极易暴发大规模的泥石流过程,威胁沿途的矿厂设施和下游县城居民的安全,为此分析该矿区泥石流物源总量、分布情况、分布特征及其稳定情况,分析可能诱发泥石流的降雨强度和降雨时间,为该区泥石流预警预报和泥石流的防治提供一定的参考。     

长牡蛎Wnt5b基因的鉴定及在黑色素生成中的作用

Wnt基因家族编码一类保守的分泌型糖蛋白,广泛参与细胞分化与增殖、细胞运动、凋亡、免疫调控以及色素生成等生物学过程。本研究鉴定了一个长牡蛎Wnt家族基因——CgWnt5b,比较了黑、白壳色长牡蛎中CgWnt5b转录水平的表达情况,并对其在调控黑色素生成方面的功能进行初步研究。研究结果显示,CgWnt5b编码序列全长1116 bp,编码371个氨基酸。生物信息学分析预测CgWnt5b蛋白相对分子量为42 KDa,等电点为9.28。对CgWnt5b与哺乳动物Wnt基因家族19个成员进行系统发育分析,确定了CgWnt5b为哺乳动物Wnt5a和Wnt5b的同源基因。荧光实时定量PCR检测长牡蛎外套膜、鳃、消化腺、闭壳肌、性腺、唇瓣以及血淋巴组织中CgWnt5b的mRNA分布,结果显示,CgWnt5b在外套膜、闭壳肌和唇瓣组织中的相对表达水平较高,在消化腺、鳃、血淋巴和性腺组织中相对表达量较低。黑壳长牡蛎中CgWnt5b mRNA表达量显著低于白壳长牡蛎,且siRNA敲降CgWnt5b的表达后,多个黑色素生成相关酪氨酸酶基因的表达显著上调。综上,本研究在长牡蛎中鉴定了一个Wnt家族成员CgWnt5b,可能通过抑制黑色素生成关键基因TYR的表达抑制长牡蛎中黑色素的生成。     

2017年广东西部一次暖区极端降水过程的维持机制及微物理特征

2017年6月22日广东西部经历了一次罕见的极端降水事件(24 h最大累积雨量562.5 mm),刷新了多项当地的历史雨量纪录.本文利用区域自动站、多普勒雷达和风廓线仪等观测资料,分析了这次极端暖区降水的维持机制,并通过二维雨滴谱仪、FY-3B微波湿度计研究了其微物理特征.结果表明:6月21日夜间一条地面中尺度辐合线触...     

MODIS brightness temperature data assimilation under cloudy conditions Ⅱ: Impacts on rainstorm forecasting

Although satellite observations provide large amount of information of clouds and precipitation and play an important role in the forecast of heavy rainfall, they have not been fully taken advantage of in data assimilation of numerical weather predictions, especially those in infrared channels. Assimilating radiances is common under clear-sky conditions since it is extremely difficult to simulate infrared transmittance in cloudy sky. Based on the Global and Regional Assimilation and Prediction Enhanced System 3-dimensional variance (GRAPES-3DVar), cloud liquid water content, ice-water content and cloud cover are employed as governing variables in the assimilation system. This scheme can improve the simulation of infrared transmittance by a fast radiative transfer model for TOVS (RTTOV) and adjust the atmospheric and cloud parameters based on infrared radiance observations. In this paper, we investigate a heavy rainfall over Guangdong province on May 26, 2007, which is right after the onset of a South China Sea monsoon. In this case, channels of the Moderate Resolution Imaging Spectroradiometer (MODIS) for observing water vapor (Channel 27) and cloud top altitude (Channel 36) are selected for the assimilation. The process of heavy rainfall is simulated by the Weather Research and Forecasting (WRF) model. Our results show that the assimilated MODIS data can improve the distribution of water vapor and temperature in the first guess field and indirectly adjust the upper-level wind field. The tendency of adjustment agrees well with the satellite observations. The assimilation scheme has positive impacts on the short-range forecasting of rainstorm.     

中尺度数值模式的资料同化系统：（一）伴随模式的设计

以一个有限区域的中尺度模式为基础,采用伴随模式技术进行有限区域气象资料的同化。伴随模式的方法是以数值天气预报的动力模式作为约束条件的变分方法,比传统的变分方法有了很大的改进。本文初步探讨了伴随模式系统的设计方法,特别是伴随模式的构造问题;用共轭码地方法导出伴随模式;初步试验表明该系统有较强的同化能力。     

Performance Evaluation of the GRAPES Model in Wind Simulations Over South China

In the present study, the performance of the GRAPES model in wind simulation over south China was assessed. The simulations were evaluated by using surface observations and two sounding stations in south China. The results show that the GRAPES model could provide a reliable simulation of the distribution and diurnal variation of the wind. It showed a generally overestimated southerly wind speed especially over the Pearl River Delta region and the south of Jiangxi Province as well as the coastal region over south China. GRAPES also exhibited a large number of stations with the opposite surface wind directions over the east of Guangxi and the south of Jiangxi during the nocturnal- to-morning period, as well as an overall overestimation of surface wind over the coastal regions during the afternoon. Although GRAPES could simulate the general evolutional characteristics of vertical wind profile, it underestimated wind speed above 900 hPa and overestimated wind speed below 900 hPa. Though the parameterization scheme of gravity wave drag proved to be an effective method to alleviate the systematic deviation of wind simulation, GRAPES still exhibited large errors in wind simulation, especially in the lower and upper troposphere.