Storm surges in the northern part of the Sea of Japan

All the available historic records of sea level and appropriate weather charts have been used to study storm surges in the northern part of the Sea of Japan. The generation of surges in this area was investigated by means of a two-dimensional numerical model. Computed sea levels were compared with hourly observed residual sea levels in De-Kastri. The agreement between computed and observed storm surges is quite satisfactory. The relative importance of various meteorological parameters and bottom topography in formation of the strong storm surge on 20–21 September 1975 was studied numerically.     

Development of a rain‐on‐snow detection algorithm using passive microwave radiometry

Currently observed climate warming in the Arctic has numerous consequences. Of particular relevance, the precipitation regime is modified where mixed and liquid precipitation can occur during the winter season leading to rain‐on‐snow (ROS) events. This phenomenon is responsible for ice crust formation, which has a significant impact on ecosystems (such as biological, hydrological, ecological and physical processes). The spatially and temporally sporadic nature of ROS events makes the phenomenon difficult to monitor using meteorological observations. This paper focuses on the detection of ROS events using passive microwave (PMW) data from a modified brightness temperature (T_B) gradient approach at 19 and 37 GHz. The approach presented here was developed empirically for observed ROS events with coincident ground‐based PMW measurements in Sherbrooke, Quebec, Canada. It was then tested in Nunavik, Quebec, with the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR‐E). We obtained a detection accuracy of 57, 71 and 89% for ROS detection for three AMSR‐E grid cells with a maximum error of 7% when considering all omissions and commissions with regard to the total number of AMSR‐E passes throughout the winter period. Copyright © 2016 John Wiley & Sons, Ltd.     

成都地区一次暴雨诊断分析

针对2012年8月16~19日成都地区出现短时、局地暴雨、特大暴雨的异常强降水天气,利用常规气象资料、1°×1°NCEP再分析资料和客观物理量场、卫星云图等资料,对造成此次强降水主要集中在成都地区西部沿山一带的原因进行了分析。分析得出:在有利的环流背景下,中小尺度系统发生发展和演变是这次暴雨产生的直接原因;中低层维持偏南气流,暖湿气流西进北抬,低空急流为这次暴雨提供了大量的水汽和不稳定能量;中低空的水平风切变不仅为暴雨提供了强烈的辐合上升运动,同时对水汽的水平辐合和垂直输送非常有利;另外,强对流云团的生成、移动与强降水的发生密切相连相关。     

一种基于M估计的Robust-ELM滑坡位移预测方法

采用传统ELM算法进行滑坡位移预测时,其网络输出权值由最小二乘估计得出,导致ELM抗差能力较差,从而造成网络训练参数不准确。为此,将M估计与ELM相结合,提出一种基于M估计的RobustELM滑坡变形预测方法。该方法利用加权最小二乘方法来取代最小二乘法计算ELM输出权值,以减少滑坡监测数据中粗差对ELM预测的干扰。分别以链子崖、古树屋滑坡体为例,将Robust-ELM进行了单维、多维粗差的抵御性验证。结果表明,该方法能够有效降低粗差对预测的影响,具有良好的抗差能力。     

Red Tide Frequency Analysis Using the Extreme Value Theory

In recent years, the red tide erupted frequently, and caused a great economic loss. At present, most literatures emphasize the academic research on the growth mechanism of red tide alga. In order to find out the characters of red tide in detail and improve the precision of forecast, this paper gives some new approaches to dealing with the red tide. By the extreme values, we deal with the red tide frequency analysis and get the estimation of T-times red tide level U （T） , which is the level once the consistence of red tide alga exceeds on the average in a period of T times.     

辽东湾东部区块热带风暴设计增水的计算

以辽东湾东部区块出现的极值增水序列为例,考虑热带气旋过程出现频次的影响,采用泊松-最大熵复合极值分布进行了增水统计分析,计算得到辽东湾东部区块的增水重现值.最大100年一遇值为183cm,最大50年一遇值为158cm,皆出现于第1区块.由于受地形的影响,区块1、2与3的增水大小相似,区块4则略小.该结果对辽东湾东部区块...     

中国南海东部海域气候特征及风浪流极值参数的研究——LAGFD数值模式群的应用

本文采用先进的ＬＡＧＦＤ风、浪数值模式和ＰＯＭ（ＰｒｉｎｃｅｔｏｎＯｃｅａｎＭｏｄｅｌ）三维海流模式对自１９４５～１９９５年间发生并影响南海东部海域的２９９个历史最强热带气旋过程进行数值后报,给出了南海东部部分海域（１９°～２３°Ｎ,１１３°～１１８°Ｅ）中１０００ｍ等深线内６０个点的多年一遇风、浪、流和水位极值,并简要分析了南海东部（１５°～２７°Ｎ,１０８°～１２２°Ｅ）的气候特征,为该海域区域性海洋环境研究与工程开发提供了基础参考数据。     

南海东北部台风潮的数值后报及极值增水估计

本研究对近40年来影响南海东北部陆架海区的28次台风引起的风暴潮进行了数值后报,其中8个过程的沿岸后报增水值与实测值进行了比较,表明后报值与实测值符合良好,90%以上的最大增水值偏差在30厘米以下。为了得出本海区多年一遇的台风增水极值,在后报台风路径密集处选择了9个不同水深点,对每点取出各次台风下的最大增水值,然后用Weibull分布进行拟合,得出了各点的极值分布。     

2017年洞庭湖特大洪水分析

2017年6月22日至7月1日,湖南省大部分地区发生了持续性强降雨过程。暴雨在湘水、资江、沅水及洞庭湖区来回摆动,三水(湘、资、沅)及湖区周边洪水接近于同时入湖,造成了洞庭湖历史罕见的特大洪水,入湖洪峰出湖洪峰均为1954年以来最大。     

“碧利斯”引发广西异常暴雨的成因分析

利用常规气象资料和卫星云图等资料对“碧利斯”造成异常暴雨的成因进行了综合分析，结果表明：“碧利斯”登陆减弱成的低压进入广西为强降水提供了动力抬升条件；中低层低压环流与强盛的西南暖湿气流相互作用，为降水云团不断发生和发展提供“燃料”；低层水汽辐合、高层辐散和强烈的上升运动是造成异常暴雨的主要原因。