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1.
Optimal precursor perturbations of El Nino in the Zebiak-Cane model were explored for three different cost functions. For the different characteristics of the eastern-Pacific （EP） El Nino and the central-Pacific （CP） El Nino, three cost functions were defined as the sea surface temperature anomaly （SSTA） evolutions at prediction time in the whole tropical Pacific, the Nino3 area, and the Nino4 area. For all three cost functions, there were two optimal precursors that developed into El Nino events, called Precursor Ⅰ and Precursor Ⅱ. For Precursor Ⅰ, the SSTA component consisted of an east-west （positive-negative） dipole spanning the entire tropical Pacific basin and the thermocline depth anomaly pattern exhibited a tendency of deepening for the whole of the equatorial Pacific. Precursor Ⅰ can develop into an EP-El Nino event, with the warmest SSTA occurring in the eastern tropical Pacific or into a mixed El Nino event that has features between EP-El Nino and CP-El Nino events. For Precursor Ⅱ, the thermocline deepened anomalously in the eastern equatorial Pacific and the amplitude of deepening was obviously larger than that of shoaling in the central and western equatorial Pacific. Precursor Ⅱ developed into a mixed El Nino event. Both the thermocline depth and wind anomaly played important roles in the development of Precursor Ⅰ and Precursor Ⅱ.  相似文献   

2.
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   

3.
By using of an ensemble method,the tests of rainfall for the predictions of the seasonal,interseasonal and annual scales in China during 1982—1995 have been made by the atmosphericGCM/mixed layer ocean and ice model(OSU/NCC).Contrasts between forecasts by the OSU/NCC and the observations show that the model has a certain ability in the prediction ofprecipitation for summer over China in all of the three different time scales.And it indicates thatthe interseasonal prediction is the best among the forecasts of three scales.It is also indicated thatthe prediction is especially acceptable in certain areas.  相似文献   

4.
This paper comprehensively studies the spatio-temporal characteristics of the frequency of extremely heavy precipitation events over South China by using the daily precipitation data of 110 stations during 1961 to 2008 and the extremely heavy precipitation thresholds determined for different stations by REOF, trend coefficients, linear trend, Mann-Kendall test and variance analysis. The results are shown as follows. The frequency distribution of extremely heavy precipitation is high in the middle of South China and low in the Guangdong coast and western Guangxi. There are three spatial distribution types of extremely heavy precipitation in South China. The consistent anomaly distribution is the main type. Distribution reversed between the east and the west and between the south and the north is also an important type. Extremely heavy precipitation events in South China mainly occurred in the summer-half of the year. Their frequency during this time accounts for 83.7% of the total frequency. In the 1960s and 1980s, extremely heavy precipitation events were less frequent while having an increasing trend from the late 1980s. Their climatological tendency rates decrease in the central and rise in the other areas of South China, and on average the mean series also shows an upward but insignificant trend at all of the stations. South China＇s frequency of extremely heavy precipitation events can be divided into six major areas and each of them shows a different inter-annual trend and three of the representative stations experience abrupt changes by showing remarkable increases in terms of Mann-Kendall tests.  相似文献   

5.
The variation of the East Asian jet stream(EAJS) associated with the Eurasian(EU) teleconnection pattern is investigated using 60-yr NCEP–NCAR daily reanalysis data over the period 1951–2010. The EAJS consists of three components: the polar front jet(PFJ); the plateau subtropical jet(PSJ); and the ocean subtropical jet(OSJ). Of these three jets over East Asia,the EU pattern exhibits a significant influence on the PFJ and OSJ. There is a simultaneous negative correlation between the EU pattern and the PFJ. A significant positive correlation is found between the EU pattern and the OSJ when the EU pattern leads the OSJ by about 5 days. There is no obvious correlation between the EU pattern and the PSJ. The positive EU phase is accompanied by a weakened and poleward-shifted PFJ, which coincides with an intensified OSJ. A possible mechanism for the variation of the EAJS during different EU phases is explored via analyzing the effects of 10-day high-and low-frequency eddy forcing. The zonal wind tendency due to high-frequency eddy forcing contributes to the simultaneous negative correlation between the EU pattern and the PFJ, as well as the northward/southward shift of the PFJ. High- and low-frequency eddy forcing are both responsible for the positive correlation between the EU pattern and the OSJ, but only high-frequency eddy forcing contributes to the lagged variation of the OSJ relative to the EU pattern. The negative correlation between the EU pattern and winter temperature and precipitation anomalies in China is maintained only when the PFJ and OSJ are out of phase with each other. Thus, the EAJS plays an important role in transmitting the EU signal to winter temperature and precipitation anomalies in China.  相似文献   

6.
Considering the observational error, the truncation error and the requirements of numerical weather prediction, three formulas for determining the distance between two adjacent stations d1, the observational vertical increment △p1 and the observational time interval △t1 in optimum sense, have been derived. Since they depend on the shortest wavelength concerned and the ratio of maximum observational error to wave amplitude, the results are quite different for different scale systems.For the filtered model the values of d1, △p1,, and △t1 in general come near those required in the MANUAL on the GOS published in 1980 by WMO. But for the primitive equation model the estimated value of △t1 is much less than those required in the filtered model case.Therefore, it is improper to study the fast moving and developing processes of the atmospheric motion only on the basis of the conventional observations. It seems to be necessary to establish an optimum composite observational system including the surface-based system and the space-based system.  相似文献   

7.
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8.
Analyzed in this paper are the 20-yr(1991-2010)tropical cyclone(TC)intensity from three forecast centers in the Western North Pacific,i.e.China Meteorological Administration(CMA),Japan Meteorological Agency(JMA),and Joint Typhoon Warning Center(JTWC)of the United States.Results show that there is more or less discrepancy in the intensity change of a TC among different datasets.The maximum discrepancy reaches 22 hPa/6h(42 hPa/6h,33 hPa/6h)between CMA and JMA(CMA and JTWC,JMA and JTWC).Special attention is paid to the records for abrupt intensity change,which is currently a difficult issue for forecasters globally.It is found that an abrupt intensity change process recorded by one dataset can have,in some extreme cases,intensity change in another dataset varying from 0 to≥10 hPa/6h with the same sign or the opposite sign.In a total of 2511 cases experiencing rapid intensity change,only 14%have consensus among all the three datasets and 25%have agreement between two of the three datasets.In spite of such a significant uncertainty,the three datasets agree on the general statistical characteristics of abrupt intensity change,including regional and seasonal distribution,the relationship with initial intensity and TC moving speed,and persistence features.Notable disagreement is on very strong systems(SuperTY)and TCs moving very fast.  相似文献   

9.
Nowadays, ensemble forecasting is popular in numerical weather prediction (NWP). However, an ensemble may not produce a perfect Gaussian probability distribution owing to limited members and the fact that some members significantly deviate from the true atmospheric state. Therefore, event samples with small probabilities may downgrade the accuracy of an ensemble forecast. In this study, the evolution of tropical storms (weak typhoon) was investigated and an observed tropical storm track was used to limit the probability distribution of samples. The ensemble forecast method used pure observation data instead of assimilated data. In addition, the prediction results for three tropical storm systems, Merbok, Mawar, and Guchol, showed that track and intensity errors could be reduced through sample optimization. In the research, the vertical structures of these tropical storms were compared, and the existence of different thermal structures was discovered. One possible reason for structural differences is sample optimization, and it may affect storm intensity and track.  相似文献   

10.
Optimal precursor perturbations of El Ni?o in the Zebiak-Cane model were explored for three different cost functions. For the different characteristics of the eastern-Pacific(EP) El Ni?o and the central-Pacific(CP) El Ni?o, three cost functions were defined as the sea surface temperature anomaly(SSTA) evolutions at prediction time in the whole tropical Pacific, the Ni?o3 area, and the Ni?o4 area. For all three cost functions, there were two optimal precursors that developed into El Ni?o events, called Precursor I and Precursor Ⅱ. For Precursor Ⅰ, the SSTA component consisted of an east-west(positive-negative) dipole spanning the entire tropical Pacific basin and the thermocline depth anomaly pattern exhibited a tendency of deepening for the whole of the equatorial Pacific. Precursor I can develop into an EP-El Ni?o event, with the warmest SSTA occurring in the eastern tropical Pacific or into a mixed El Ni?o event that has features between EP-El Ni?o and CP-El Ni?o events. For Precursor Ⅱ, the thermocline deepened anomalously in the eastern equatorial Pacific and the amplitude of deepening was obviously larger than that of shoaling in the central and western equatorial Pacific. Precursor Ⅱ developed into a mixed El Ni?o event. Both the thermocline depth and wind anomaly played important roles in the development of Precursor Ⅰ and Precursor Ⅱ.  相似文献   

11.
采用2011年发布的20世纪全球大气环流再分析资料,结合长期观测序列,分析了百余年来大气中南极绕极波的强弱变化和传播过程。结果显示,南极绕极波有显著的年代际变化,在1940~1960年和1980~2000年附近出现和活跃,而在其他年代消失。东南太平洋南极绕极波振幅最强,该区域的海气耦合过程可能是绕极波信号增强的关键之一。初步揭示了百年来南极绕极波和南极涛动的对应关系,偏强的南极涛动有利于南极绕极波的出现,但并非决定绕极波产生的唯一因素。  相似文献   

12.
Temperature trends of Chennai City, India   总被引：1，自引：1，他引：0  
Chennai is the fourth largest metropolitan city in India, and it is one of India's chief industrial and economic growth centers. The temperature change in Chennai is studied in this research by analyzing the mean maximum temperature (MMaxT), mean minimum temperature (MMinT), and mean annual temperature (MAT) from 1951 to 2010. Data are analyzed in three parts by running linear regression and by taking anomalies of all time periods: (a) the whole period from 1951 to 2010; (b) phase 1, 1951–1980; and (c) phase 2, 1981–2010. The trends have been evaluated by Student's t statistics and supported by Mann Kendall rank statistics. The observed change in temperature is positive, which has been clear increasing trends in MMaxT, MMinT, and MAT. MAT has increased 1.3°C since the last 60 years. MMaxT has increased up to 1.6°C, in which the second phase accounts for 75 % of the total change during the last 60 years. MMinT over Chennai has increased 1.0°C. There is a high rise in temperature during winter season.  相似文献   

13.
利用1951-1980年和1981-2010年两个气候期的月平均气温数据,对中国大陆地区建筑气候分区进行对比,讨论建筑气候分区的变化;并基于近气候期的建筑气候分区以逐日气温为基础,讨论了1951-2018年不同分区采暖气候条件变化特征。结果表明：与1951-1980年相比,1981-2010年严寒地区范围有所缩减,南界北移;寒冷区、夏热冬冷区、夏热冬暖区北进,温和区西扩,夏热冬暖区范围增大。中国大陆采暖度日数、采暖日数、采暖日均强度分布一致,东部随纬向增加,西部随海拔增加;采暖度日数严寒地区最大,寒冷地区其次,夏热冬暖地区最小;1951-2018年,中国大陆各建筑分区的采暖度日数都呈显著减少趋势,减少速率严寒地区最大,温和地区最小;夏热冬冷地区距平百分率的波动最大,严寒地区波动最小。1998-2012年,全国各建筑气候分区采暖度日数和采暖日均强度在此期间均表现为增加,其中夏热冬暖地区增加趋势通过了0.05显著性检验。  相似文献   

14.
利用NCEP／NCAR逐月SLP再分析资料，通过复经验正交函数展开(CEOF)，借助其第1模态恢复场研究了1952-1998年期间南极绕极波动的年代际变化和传播特征。结果表明，东南太平洋是研究南极绕极波动(ACW)的关键区，并由此定义东南太平洋ACW活动指数(EPAI)。相关分析揭示了秋季EPAI与次年中国夏季降水有着密切的关系，当秋季EPAI出现异常正位相时，即当东南太平洋SLP距平出现正异常时，次年春、夏季澳大利亚高压偏强，进而由于越赤道气流的增强及西太平洋副高调整引起次年夏季中国出现华南多雨、江淮少雨的雨型分布，证实了ACW是另一个与中国夏季降水异常有密切关联的年际变化强信号。  相似文献   

15.
利用中国160站1951-2005年的逐月降水资料,以华北17站夏季降水异常为研究对象,在对其时空变化特征进行分析的基础上,探讨了影响其异常的同期因子——该地区上空大尺度环流异常特征.研究结果表明,华北夏季降水在55a里总的趋势是减少的,该地区干旱化的趋势明显,华北夏季降水存在准3a、准6a、准8a的年际周期和17～19a的年代际振荡周期。在华北夏季降水异常的年份,其降水通常与江南和华南的呈现反位相。在低层850hPa,当贝加尔湖地区的东北气流、中南半岛的西南气流及青藏高原北侧的偏西气流较常年偏强时,华北夏季降水较常年偏多;中层500hPa,副热带高压较常年偏弱、偏北、偏西,冷空气偏强,低纬热带季风活跃,南方水汽也供应充沛,从而华北多雨.  相似文献   

16.
Based on reconstructions of precipitation events from the rain and snowfall archives of the Qing Dynasty (1736–1911),the drought/flood index data mainly derived from Chinese local gazettes from 1736–2000, and the observational data gathered since 1951,the spatial patterns of monsoon rainbands are analyzed at different time scales.Findings indicate that monsoon rainfall in northern China and the middle-lower reaches of the Yangtze River have significant inter-annual(e.g.,5–7-yr and 2–4-yr)as well as inter-de...  相似文献   

17.
区域极端降水事件阈值计算方法比较分析   总被引：7，自引：4，他引：3       下载免费PDF全文
根据南京站1951—2010年逐日降水资料,采用2种传统的百分位法以及3种正态变换方法,探讨了确定区域极端降水事件阈值的最佳方法。结果表明,由于降水量的实际概率分布是一种明显的偏态分布,而传统的百分位法是在假设降水量遵从均匀分布条件下进行的,计算结果的稳定性较差。正态变换的3种方法是在降水量实际概率分布下采用百分位法计算阈值的,结果稳定性较好。其中以方法4效果最佳。为消除气候变化的影响,可以将研究时段按降水量变化的不同趋势分为几个气候阶段分别计算阈值。或者采用滑动气候阶段处理整个研究时段,并以各个滑动气候阶段阈值的平均值作为整个研究时段的阈值。  相似文献   

18.
An objective cyclone tracking algorithm is applied to twentieth century reanalysis (20CR) 6-hourly mean sea level pressure fields for the period 1871–2010 to infer historical trends and variability in extra-tropical cyclone activity. The tracking algorithm is applied both to the ensemble-mean analyses and to each of the 56 ensemble members individually. The ensemble-mean analyses are found to be unsuitable for accurately determining cyclone statistics. However, pooled cyclone statistics obtained by averaging statistics from individual members generally agree well with statistics from the NCEP-NCAR reanalyses for 1951–2010, although 20CR shows somewhat weaker cyclone activity over land and stronger activity over oceans. Both reanalyses show similar cyclone trend patterns in the northern hemisphere (NH) over 1951–2010. Homogenized pooled cyclone statistics are analyzed for trends and variability. Conclusions account for identified inhomogeneities, which occurred before 1949 in the NH and between 1951 and 1985 in the southern hemisphere (SH). Cyclone activity is estimated to have increased slightly over the period 1871–2010 in the NH. More substantial increases are seen in the SH. Notable regional and seasonal variations in trends are evident, as is profound decadal or longer scale variability. For example, the NH increases occur mainly in the mid-latitude Pacific and high-latitude Atlantic regions. For the North Atlantic-European region and southeast Australia, the 20CR cyclone trends are in agreement with trends in geostrophic wind extremes derived from in-situ surface pressure observations. European trends are also consistent with trends in the mean duration of wet spells derived from rain gauge data in Europe.  相似文献   

19.
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20.
主成分分析与聚类分析在青岛夏季气温变化研究中的应用   总被引：1，自引：1，他引：0  
选用青岛站1951-2010年每年6-8月各月平均气温资料,通过SAS软件进行了主成分分析和聚类分析,分析了近60 a夏季气温的年际气候变化.主成分分析的结果表明,第一主成分反映青岛夏季气温距平,其正（负）方向反映夏季气温的正（负）距平,其强度反映气温偏高（低）的程度;第二主成分则反映同一年内夏季各月间气温的差异,其绝对值越大,表示各月气温差异越大.聚类分析的结果表明,青岛站夏季月平均气温的变化可以分为3类：1）6月、7月气温较低,在8月升温;2）7月平均气温最高,6月、8月相对较低;3）6月气温低,7、8两月气温较高.其中1993、2003年为第一类,2005年为第二类,其余为第三类.  相似文献   

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