Annual Frequency of Tropical Cyclones Directly Affecting Guangdong Province:Prediction Based on LSTM-FC     

胡娅敏  陈韵竹  何健  刘圣军  闫文杰  赵亮  汪明圣  李芷卉  王娟怀  董少柔  刘新儒 《热带气象学报(英文版)》2022,28(1):45-56

Tropical cyclone (TC) annual frequency forecasting is significant for disaster prevention and mitigation in Guangdong Province. Based on the NCEP-NCAR reanalysis and NOAA Extended Reconstructed global sea surface temperature (SST) V5 data in winter, the TC frequency climatic features and prediction models have been studied. During 1951-2019, 353 TCs directly affected Guangdong with an annual average of about 5.1. TCs have experienced an abrupt change from abundance to deficiency in the mid to late 1980 with a slightly decreasing trend and a normal distribution. 338 primary precursors are obtained from statistically significant correlation regions of SST, sea level pressure, 1000hPa air temperature, 850hPa specific humidity, 500hPa geopotential height and zonal wind shear in winter. Then those 338 primary factors are reduced into 19 independent predictors by principal component analysis (PCA). Furthermore, the Multiple Linear Regression (MLR), the Gaussian Process Regression (GPR) and the Long Short-term Memory Networks and Fully Connected Layers (LSTM-FC) models are constructed relying on the above 19 factors. For three different kinds of test sets from 2010 to 2019, 2011 to 2019 and 2010 to 2019, the root mean square errors (RMSEs) of MLR, GPR and LSTM-FC between prediction and observations fluctuate within the range of 1.05-2.45, 1.00-1.93 and 0.71-0.95 as well as the average absolute errors (AAEs) 0.88-1.0, 0.75-1.36 and 0.50-0.70, respectively. As for the 2010-2019 experiment, the mean deviations of the three model outputs from the observation are 0.89, 0.78 and 0.56, together with the average evaluation scores 82.22, 84.44 and 88.89, separately. The prediction skill comparisons unveil that LSTM-FC model has a better performance than MLR and GPR. In conclusion, the deep learning model of LSTM-FC may shed light on improving the accuracy of short-term climate prediction about TC frequency. The current research can provide experience on the development of deep learning in this field and help to achieve further progress of TC disaster prevention and mitigation in Guangdong Province.  相似文献   

Experiments with the Improved Dynamical-Statistical-Analog Ensemble Forecast Model for Landfalling Typhoon Precipitation over South China     

马蕴琦  任福民  贾莉  丁晨晨 《热带气象学报(英文版)》2022,28(2):139-153

In recent work, three physical factors of the Dynamical-Statistical-Analog Ensemble Forecast Model for Landfalling Typhoon Precipitation (DSAEF_LTP model) have been introduced, namely, tropical cyclone (TC) track, TC landfall season, and TC intensity. In the present study, we set out to test the forecasting performance of the improved model with new similarity regions and ensemble forecast schemes added. Four experiments associated with the prediction of accumulated precipitation were conducted based on 47 landfalling TCs that occurred over South China during 2004-2018. The first experiment was designed as the DSAEF_LTP model with TC track, TC landfall season, and intensity (DSAEF_LTP-1). The other three experiments were based on the first experiment, but with new ensemble forecast schemes added (DSAEF_LTP-2), new similarity regions added (DSAEF_LTP-3), and both added (DSAEF_LTP- 4), respectively. Results showed that, after new similarity regions added into the model (DSAEF_LTP-3), the forecasting performance of the DSAEF_LTP model for heavy rainfall (accumulated precipitation ≥250 mm and ≥100 mm) improved, and the sum of the threat score (TS250 + TS100) increased by 4.44%. Although the forecasting performance of DSAEF_LTP-2 was the same as that of DSAEF_LTP-1, the forecasting performance was significantly improved and better than that of DSAEF_LTP-3 when the new ensemble schemes and similarity regions were added simultaneously (DSAEF_LTP-4), with the TS increasing by 25.36%. Moreover, the forecasting performance of the four experiments was compared with four operational numerical weather prediction models, and the comparison indicated that the DSAEF_LTP model showed advantages in predicting heavy rainfall. Finally, some issues associated with the experimental results and future improvements of the DSAEF_LTP model were discussed.  相似文献   

一次爆发性气旋引发东北地区暴雨成因分析     

王宁  马梁臣  霍也 《气象与环境学报》2022,38(3):19-28

利用2016年5月2—4日NCEP的FNL 1°×1°再分析资料和GDAS的1°×1°再分析资料、地面观测资料,运用天气学分析、等熵位涡、物理量诊断和水汽来源追踪等方法,从大尺度环流背景、水汽源地和输送、动力和热力机制、等熵位涡等方面对2016年春季一次地面气旋爆发性发展导致的东北地区暴雨天气过程进行了分析。结果表明:位于40°N附近的黄淮气旋北上加强发展,2日14时至3日14时中心气压下降24 hPa,超过爆发性气旋的定义标准。500 hPa高空槽快速加强发展为闭合低涡,低空切变线加强发展为低空低涡,其东部形成明显的低空急流,为暴雨区提供水汽和热量,为东北地区典型的暖式切变降水。等熵位涡自320 K高层向305 K低层输送下传,并逐步向南向东移动,高空正位涡的下传促使地面气旋快速发展,上升运动加强,有利于暴雨的出现。比湿在6 g·kg^(-1)以上对东北地区春末夏初暴雨预报有一定的参考意义。水汽主要来源于东海、黄海及西北太平洋。暴雨区与850 hPa水汽通量散度的负值区、700 hPa垂直速度和850 hPa绝对涡度大值区较为一致,强降水区与850 hPa相当位温密集带和暖区锋生区相对应,降水位于能量锋区以及偏暖区一侧。  相似文献   

2020年秋季海洋天气评述          下载免费PDF全文

孙舒悦  尹尽勇  张增海  柳龙生 《山东气象》2021,41(1):19-29

2020年秋季(9—11月)大气环流特征表现为,北半球极涡呈单极型分布,中高纬环流呈4波型。9—11月,欧亚大陆中高纬环流经向度不断加大,冷空气势力增强。西太平洋副热带高压较历史平均偏强,热带气旋活动频繁。我国近海出现了19次8级以上大风过程,其中冷空气大风过程6次,台风大风过程4次,入海气旋大风过程1次,冷空气与热带气旋共同影响的大风过程7次,冷空气和温带气旋共同影响的大风过程1次。西北太平洋和南海共生成13个热带气旋,其中10月共有7个热带气旋生成,追平10月热带气旋生成数的历史最高纪录;全球其他海域共生成热带气旋26个。我国近海未出现2 m以上大浪过程的天数仅有12 d,约占秋季总日数的13％。秋季,我国近海海域呈明显降温过程,北部海域的降温幅度明显大于南部海域,受连续北上影响我国北部海域的热带气旋活动影响,9月黄海东部及东海东部的海面温度较气候态明显偏低。  相似文献   

SIMULATION OF TROPICAL CYCLONES OVER THE WESTERN NORTH PACIFIC AND LANDFALLING IN CHINA BY REGCM4     

吴婕  高学杰 《热带气象学报(英文版)》2019,25(4):437-447

This study evaluates the performance of the regional climate model RegCM4 in simulating tropical cyclone (TC) activities over the Western North Pacific (WNP) and their landfalling in China. The model is driven by ERA-Interim boundary conditions at a grid spacing of 25 km, with the simulation period as 1991–2010. Results show that RegCM4 performs well in capturing the main structural features of observed TCs, and in simulating the genesis number and annual cycle of the genesis. The model reproduces the general pattern of the observed TC tracks and occurrence frequency. However, significant underestimation of the occurrence frequency as well as the TC intensity is found. Number of the landfalling TCs over China is also much less than the observed. Bias of the model in reproducing the large-scale circulation pattern and steering flow may contribute to the underestimated landfalling TC numbers.  相似文献   

CONDITIONAL NONLINEAR OPTIMAL PERTURBATIONS: APPLICATION IN TROPICAL CYCLONE FORECASTS     

田洪军  李泽椿  王栋梁  王斌 《热带气象学报(英文版)》2019,25(4):421-436

Considering the feature of tropical cyclones (TCs) that strong positive vorticity exists in the lower layers of troposphere, this study proposed to use vorticity at 850 hPa as cost function to find the conditional nonlinear optimal perturbation (CNOP), which was largely different from those previous studies using total energy of perturbed forecast variables. The CNOP was obtained by an ensemble-based approach. All of the sensitive areas determined by CNOP with vorticity at 850 hPa as cost function for the three cases were located over the TC core region and its vicinity. The impact of the CNOP-based adaptive observations on TC forecasts was evaluated with three cases via observational system simulation experiments (OSSEs). Results showed obvious improvements in TC intensity or track forecasts due to the CNOP-based adaptive observations, which were related to the main error source of the verification area, i.e., intensity error or location error.  相似文献   

西北太平洋热带气旋变性过程中的风及降水分布变化特征分析     

王佳琪  李英 《大气科学》2019,43(6):1329-1343

利用中国气象局上海台风研究所（CMA/STI）整编的热带气旋最佳路径资料、美国飓风联合警报中心（JTWC）最佳路径资料、美国国家海洋与大气管理局（NOAA）的全球多平台热带气旋风场资料（MTCSWA）和CMORPH降水资料、日本卫星云顶黑体辐射温度（T_BB）资料等,分析1987～2016年30年间西北太平洋228个变性热带气旋（ETTC）的活动规律、风与降水分布及其演变特征。结果表明:（1）ETTC年均7.6个,除1～2月,各月均有分布,峰值在9月。约90.4%的ETTC变性位置在30°N以北,仅约9.6%在30°N以南较低纬度,且多发生于春夏和秋冬交替季节。（2）TC（热带气旋）变性通常发生在其转向后,半数以上移速加快,大多数中心气压升高或维持,仅10.5%降低。（3）变性过程中ETTC近中心最大风速减小,最大风速半径增大,内核趋于松散。其34节风圈半径北侧明显大于南侧,风场结构非对称性增强。（4）ETTC强风和强降水呈显著非对称性分布,其强风区主要出现在ETTC中心东侧,即路径右后方;强降水区主要出现在北侧,且变性后在东北象限向外扩张。（5）较强的环境水平风垂直切变（VWS）是影响ETTC风及降水分布的重要因子。强降水主要出现在顺风切方向及其左侧,强风（去除TC移速时）出现在切变左侧。  相似文献   

登陆我国热带气旋中心最低气压和最大风速关系研究     

殷成团  张然  熊梦婕  章卫胜  张金善 《气象科学》2019,39(6):834-838

热带气旋(TC)登陆时中心最大风速会发生明显衰减,研究此时的风压关系对风暴潮模拟和预测具有重要意义。采用中国气象局上海台风研究所数据资料,对1949—2016年风压关系序列的一致性进行检验,登陆风压关系公式拟合及误差分析。结果表明:1970s后风压关系发生变异;新公式在计算登陆风速时要优于原公式,尤其是大风速情况下;相同气压下台风在近岸时风速明显小于大洋中,且登陆时风速越大衰减越剧烈。  相似文献   

一次江淮气旋暴雪的积雪特征及气象影响因子分析   总被引：4，自引：4，他引：0       下载免费PDF全文

杨成芳  刘畅 《气象》2019,45(2):191-202

利用自动站、人工加密观测及常规观测资料,通过对2017年2月21—22日一次江淮气旋暴雪过程积雪特征的分析,揭示了近地面气象要素对积雪深度的复杂影响。结果表明:(1)江淮气旋系统特有的空间结构导致山东南、北地区的降雪量和积雪深度不均衡分布。(2)积雪深度具有时效性,在降雪结束时达到峰值,因温度的变化导致峰值不一定维持到次日08时。(3)积雪深度是近地面多气象要素共同作用的结果,降水相态、降雪量、降雪强度、气温、地温和风速均有影响。主要表现为:雨夹雪在转为纯雪之前可产生不超过1 cm的积雪,如果不转雪则不会产生有量积雪;各地降雪含水比差异较大,全省平均为0. 5 cm·mm~(-1),低于全国平均值;在降雪不融化的情况下,降雪量、降雪强度越大则积雪越深,降雪强度大是气温和地温都高于0℃时产生积雪的必要条件;地温和气温越低对积雪形成越有利,积雪开始产生时的地温最高阈值多在0℃左右,地温先突降后缓升是积雪产生前后的共性特征,积雪产生后1～2 h内地温略有上升并逐渐趋于稳定;积雪产生时气温一般低于0℃,气温高于0℃时大部分降雪融化;有利于产生积雪的平均风力多不超过2级,极大风则在3～4级以下。  相似文献   

A primary study of the correlation between the net air-sea heat flux and the interannual variation of western North Pacific tropical cyclone track and intensity   总被引：3，自引：0，他引：3  

WU Liang  WEN Zhiping  HUANG Ronghui 《海洋学报(英文版)》2011,30(6):27-35

A singular value decomposition (SVD) analysis is carried out to reveal the relationship between the interannual variation of track and intensity of the western North Pacific tropical cyclones (WNPTCs) in the tropical cyclone (TC) active season (July-November) and the global net air-sea heat flux (Q net ) in the preceding season (April-June). For this purpose, a tropical cyclone track and intensity function (TIF) is defined by a combination of accumulated cyclone energy (ACE) index and a cyclone track densit...  相似文献