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1.
The approach of getting useful information of monthly dynamical prediction from ensemble forecasts is studied. The extended
range ensemble forecasts (8 members, the initial perturbations of the lagged average forecast (LAF)(0000, 0600, 1200 and 1800
GMT in two consecutive days) of the 500 hPa height field with the global spectral model (T63L16) from January to May 1997
are provided by the National Climate Center of China. The relationship between the spread of ensemble measured by root–mean–square
deviation of ensemble member from ensemble mean and forecast skill (the anomaly correlation or the root–mean–square distance
between the ensemble mean forecast and the observation) is significant. The spread of ensemble can evaluate the useful forecast
days N for the best estimate of 30 days mean. Thus, a weighted mean approach based on ensemble spread is put forward for monthly
dynamical prediction. The anomaly correlation of the weighted monthly mean by the ensemble spread is higher than that of both
the arithmetic mean and the linear weighted mean. Better results of the monthly mean circulation and anomaly are obtained
from the ensemble spread weighted mean.
Supported by the Excellent National State Key Laboratory Project (49823002), the National Key Project ‘Study on Chinese Short-Term
Climate Forecast System’ (96-908-02) and IAP Innovation Foundation (8-1308).
The data were provided through the National Climate Center of China. The authors wish to thank Ms. Chen Lijuan for her assistance. 相似文献
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Observed daily precipitation data from the National Meteorological Observatory in Hainan province and daily data from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis-2 dataset from 1981 to 2014 are used to analyze the relationship between Hainan extreme heavy rainfall processes in autumn (referred to as EHRPs) and 10–30 d low-frequency circulation. Based on the key low-frequency signals and the NCEP Climate Forecast System Version 2 (CFSv2) model forecasting products, a dynamical-statistical method is established for the extended-range forecast of EHRPs. The results suggest that EHRPs have a close relationship with the 10–30 d low-frequency oscillation of 850 hPa zonal wind over Hainan Island and to its north, and that they basically occur during the trough phase of the low-frequency oscillation of zonal wind. The latitudinal propagation of the low-frequency wave train in the middle-high latitudes and the meridional propagation of the low-frequency wave train along the coast of East Asia contribute to the ‘north high (cold), south low (warm)’ pattern near Hainan Island, which results in the zonal wind over Hainan Island and to its north reaching its trough, consequently leading to EHRPs. Considering the link between low-frequency circulation and EHRPs, a low-frequency wave train index (LWTI) is defined and adopted to forecast EHRPs by using NCEP CFSv2 forecasting products. EHRPs are predicted to occur during peak phases of LWTI with value larger than 1 for three or more consecutive forecast days. Hindcast experiments for EHRPs in 2015–2016 indicate that EHRPs can be predicted 8–24 d in advance, with an average period of validity of 16.7 d. 相似文献
4.
D. R. Pattanaik 《Meteorology and Atmospheric Physics》2014,124(3-4):167-182
The real-time multi-model ensemble (MME)-based extended range (up to 3 weeks) forecast of monsoon rainfall over India during the 2012 monsoon season is analyzed using the outputs of European Centre for Medium Range Weather Forecasts (ECMWF) monthly forecast coupled model, National Centre for Environmental Prediction (NCEP) Climate Forecast System version 2 coupled model and Japan Meteorological Agency (JMA)’ ensemble prediction system. Although the individual models show useful skill in predicting the extended range forecast of monsoon, the MME forecast is found to be superior compared to these. For the country as a whole, the correlation coefficient (CC) between the observed and MME forecast rainfall departure is found to be statistically significant (99 % level) at least for 2 weeks (up to 18 days). Over the four homogeneous regions of India, the CC is found to be significant (above 95 % level) up to 2 weeks except in case of northeast India, which shows significant CC for week 1 (days 5–11) only. On the meteorological subdivision level (India is divided into 36 meteorological subdivisions) the mean percentage of correct forecast is found to be much higher than the climatology forecast. Considering the complex problem of forecasting of monsoon in the extended range timescales, the MME-based predictions for 2–3 weeks provide skillful results and useful guidance for application in agriculture and other sectors in India. 相似文献
5.
The evaporation rate over South China is estimated based on the Climate Prediction Center Merged Analysis of Precipitation(CMAP)data and the NCEP/DOE reanalysis II data from 1979 to 2007. The temporal variation of evaporation over South China and its relationship to precipitation are discussed. Climatologically,the evaporation rate over South China is the largest in July and smallest in March.In spring and summer,the evaporation rate is approximately one half of the precipitation rate.However,the evaporation rate is approximately equal to the precipitation rate in fall and winter.The year-to-year variation of the evaporation rate over South China is quite in phase with that of the precipitation rate in the period from February to May but out of phase with that of the precipitation rate in early winter.Over South China there is a pronounced decreasing trend in the evaporation in colder seasons and a positive correlation between the evaporation variation and the rainfall variation in spring.In summer,the abnormality of rainfall over South China is closely related to the anomalous evaporation over the northeastern part of the South China Sea and its eastern vicinity.In winter,the rainfall variation in South China has a close linkage with the evaporation variation in a belt area covering the eastern Arabian Sea,the Bay of Bengal,the southeastern periphery of the Plateau,the southern part of South China Sea and the central part of Indonesia. 相似文献
6.
In this study, the relationship between the subsystems of Asian summer monsoon is analyzed using U.S. National Centers for Environmental Protection/National Center for Atmospheric Research reanalysis and Climate Prediction Center Merged Analysis of Precipitation monthly mean precipitation data. The results showed that there is significant correlation between the subsystems of Asian summer monsoon. The changes of intensity over the same period show that weak large-scale Asian monsoon, Southeast Asia monsoon and South Asian monsoon are associated with strong East Asian monsoon and decreasing rainfall in related areas. And when the large-scale Asian monsoon is strong, Southeast Asia and South Asia monsoons will be strong and precipitation will increase. While the Southeast Asia monsoon is strong, the South Asia monsoon is weak and the rainfall of South Asia is decreasing, and vice versa. The various subsystems are significantly correlated for all periods of intensity changes. 相似文献
7.
Dong-Kyou Lee Dae-Yong Eom Joo-Wan Kim Jae-Bok Lee 《Asia-Pacific Journal of Atmospheric Sciences》2010,46(3):341-353
The WRF-based real-time forecast system (http://jhwc.snu.ac.kr/weather) of the Joint Center for High-impact Weather and Climate Research (JHWC) has been in operation since November 2006; this system has three nested model domains using GFS (Global Forecast System) data for its initial and boundary conditions. In this study, we evaluate the improvement in daily and hourly weather prediction, particularly the prediction of summer rainfall over the Korean Peninsula, in the JHWC WRF (Weather Research and Forecasting) model system by 3DVAR (three-Dimensional Variational) data assimilation using the data obtained from KEOP (Korea Enhanced Observation Program). KEOP was conducted during the period June 15 to July 15, 2007, and the data obtained included GTS (Global Telecommunication System) upper-air sounding, AWS (Automatic Weather System), wind profiler, and radar observation data. Rainfall prediction and its characteristics should be verified by using the precipitation observation and the difference field of each experiment. High-resolution (3 km in domain 3) summer rainfall prediction over the Korean peninsula is substantially influenced by improved synoptic-scale prediction in domains 1 (27 km) and 2 (9 km), in particular by data assimilation using the sounding and wind profiler data. The rainfall prediction in domain 3 was further improved by radar and AWS data assimilation in domain 3. The equitable threat score and bias score of the rainfall predicted in domain 3 indicated improvement for the threshold values of 0.1, 1, and 2.5 mm with data assimilation. For cases of occurrence of heavy rainfall (7 days), the equitable threat score and bias score improved considerably at all threshold values as compared to the entire period of KEOP. Radar and AWS data assimilation improved the temporal and spatial distributions of diurnal rainfall over southern Korea, and AWS data assimilation increased the predicted rainfall amount by approximately 0.3 mm 3hr?1. 相似文献
8.
A new way to predict forecast skill 总被引：1，自引：0，他引：1
Forecast skill (Anomaly Correlated Coefficient, ACC) is a quantity to show the forecast quality of the products of numerical weather forecasting models. Predicting forecast skill, which is the foundation of ensemble forecasting, means submitting products to predict their forecast quality before they are used.Checking the reason is to understand the predictability for the real cases. This kind of forecasting service has been put into operational use by statistical methods previously at the National Meteorological Center (NMC), USA (now called the National Center for Environmental Prediction (NCEP)) and European Center for Medium-range Weather Forecast (ECMWF). However, this kind of service is far from satisfactory because only a single variable is used with the statistical method. In this paper, a new way based on the Grey Control Theory with multiple predictors to predict forecast skill of forecast products of the T42L9 of the NMC, China Meteorological Administration (CMA) is introduced. The results show: (1) The correlation coefficients between “forecasted“ and real forecast skill range from 0.56 to 0.7 at different seasons during the two-year period. (2) The grey forecasting model GM(1,8) forecasts successfully the high peaks, the increasing or decreasing tendency, and the turning points of the change of forecast skill of cases from 5 January 1990 to 29 February 1992. 相似文献
9.
Hye-In Jeong Doo Young Lee Karumuri Ashok Joong-Bae Ahn June-Yi Lee Jing-Jia Luo Jae-Kyung E. Schemm Harry H. Hendon Karl Braganza Yoo-Geun Ham 《Climate Dynamics》2012,39(1-2):475-493
Forecast skill of the APEC Climate Center (APCC) Multi-Model Ensemble (MME) seasonal forecast system in predicting two main types of El Niño-Southern Oscillation (ENSO), namely canonical (or cold tongue) and Modoki ENSO, and their regional climate impacts is assessed for boreal winter. The APCC MME is constructed by simple composite of ensemble forecasts from five independent coupled ocean-atmosphere climate models. Based on a hindcast set targeting boreal winter prediction for the period 1982–2004, we show that the MME can predict and discern the important differences in the patterns of tropical Pacific sea surface temperature anomaly between the canonical and Modoki ENSO one and four month ahead. Importantly, the four month lead MME beats the persistent forecast. The MME reasonably predicts the distinct impacts of the canonical ENSO, including the strong winter monsoon rainfall over East Asia, the below normal rainfall and above normal temperature over Australia, the anomalously wet conditions across the south and cold conditions over the whole area of USA, and the anomalously dry conditions over South America. However, there are some limitations in capturing its regional impacts, especially, over Australasia and tropical South America at a lead time of one and four months. Nonetheless, forecast skills for rainfall and temperature over East Asia and North America during ENSO Modoki are comparable to or slightly higher than those during canonical ENSO events. 相似文献
10.
This study evaluates the potential use of the regional climate model version 3 (RegCM3) driven by (1) the National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) data during 1982–2001 and (2) the NCEP Climate Forecast System Version 2 (CFS2) hindcast data during 2000–2010 in forecasting Western North Pacific (WNP) tropical cyclone (TC) activity. The first experiment is conducted to investigate the ability of the model in generating a good climatology of TC activity in spatial and temporal scales, so the model could be used in the second experiment to test its ability in forecasting TC genesis and landfall. Both experiments extend through the May to October WNP-TC season. Results show that the use of RegCM3 driven by the CFSR achieves a better simulation on the temporal and spatial variation of WNP-TC genesis during 1982–2001, as compared to previous studies using the same model but driven by the ERA40 reanalysis. In addition, diagnoses on the use of RegCM3 driven by the CFS2 point out that the 2000–2010 WNP-TC genesis locations and numbers from the model are very similar to those from the observations. The skill of RegCM3 in the forecasts of landfalling TCs is higher over the Southeast Asian region than over the other sub-regions of East Asia. Potential causes for such regional differences are discussed. Most importantly, statistical analyses show that the use of RegCM3 driven by the CFS2 gives a better forecast skill than the use of CFS2 alone for the prediction of WNP-TCs making landfall in East Asia. This indicates that the use of a dynamical downscaling method for the global forecast data would likely lead to a higher forecast skill of regional TC landfalls in most of the East Asian region. 相似文献
11.
为了探索全球定位卫星观测系统无线电掩星技术(Global Positioning System/Radio Occulta-tion,简称GPSRO)在业务数值预报模式中的应用效果,以美国NCEP(National Centers for Environ-mental Prediction)业务同化系统为平台,对有/无COSMIC(Constellation Observing System for Meteor-ology,Ionosphere and Climate)GPS无线电掩星观测资料进行了一次降水过程的详细的同化对比试验。试验中GPSRO观测算子主要采用了相对简单但计算省时的局地(Local)同化技术。该个例试验表明:COSMICGPS掩星观测对分析影响较大的地区是常规观测资料较稀缺地区(如洋面),因此在这些地区GPSRO资料可以被看作是对常规观测很好的补充。同时还注意到COSMIC GPS RO资料在对流层下层对湿度场分析和预报的影响显著,在对流层中上层对风场分析也产生正面影响。这证实GPS RO资料在业务数值天气预报中应用的有效性,为我国数值预报未来开展业务GPS掩星观测资料同化提供了有益的科学参考依据。 相似文献
12.
A nested-model system is constructed by embedding the regional climate model RegCM3 into a
general circulation model for monthly-scale regional climate forecast over East China. The systematic
errors are formulated for the region on the basis of 10-yr (1991-2000) results of the nested-model system,
and of the datasets of the Climate Prediction Center (CPC) Merged Analysis of Precipitation (CMAP) and
the temperature analysis of the National Meteorological Center (NMC), U.S.A., which are then used for
correcting the original forecast by the system for the period 2001-2005. After the assessment of the original
and corrected forecasts for monthly precipitation and surface air temperature, it is found that the corrected
forecast is apparently better than the original, suggesting that the approach can be applied for improving
monthly-scale regional climate dynamical forecast. 相似文献
13.
This paper investigates the interannual variation of the West Pacific Subtropical High (WPSH)
intensity based on the data compiled by the Chinese National Climate Center. Monthly reanalysis data
from National Centers for Environmental Prediction and National Center for Atmospheric Research
(NCEP/NCAR) are also used to study the lead-lag relationship between WPSH intensity and surface heat
flux anomalies. The three major findings are as follows: First, WPSH intensity presents good seasonal
persistence, especially from winter to the ensuing summer. Persistence is more significant after 1977,
especially from spring to summer, and from summer to autumn; persistence of anticyclonic anomalies are
significantly better than cyclonic anomalies. Second, surface heat flux tends to present opposite anomalous
patterns between the strong and weak years of the WPSH intensity, which is especially valid at the latent
heat flux over the ocean. Simultaneous correlations between surface heat flux and WPSH intensity in each
of the seasons are marked by similar key areas. Finally, surface heat flux from the preceding winter of a
strong summer WPSH is quite similar to strong spring WPSH, but the positive anomalies over the
northwest Pacific and south of Japan are notably stronger. The situations in the weak years are similar
except for those over the northwest Pacific: winter surface heat flux shows negative anomalies for a weak
spring WPSH, but positive anomalies for a weak summer WPSH. It is suggested that surface heat flux in
the previous winter plays an important role in maintaining the WPSH intensity in the ensuing spring and
summer. 相似文献
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Qiao Shaobo Zou Meng Cheung Ho Nam Zhou Wen Li Qingxiang Feng Guolin Dong Wenjie 《Climate Dynamics》2020,54(3):1591-1606
Climate Dynamics - Using hindcast and forecast data from the National Centers for Environmental Prediction (NCEP) climate forecast system version 2 (CFSv2) for the period 1982–2017, we... 相似文献
16.
Prediction of global patterns of dominant quasi-biweekly oscillation by the NCEP Climate Forecast System version 2 总被引：1，自引：0，他引：1
Xiaolong Jia Song Yang Xun Li Yunyun Liu Hui Wang Xiangwen Liu Scott Weaver 《Climate Dynamics》2013,41(5-6):1635-1650
Daily output from the hindcasts by the National Centers for Environmental Prediction (NCEP) Climate Forecast System version 2 (CFSv2) is analyzed to understand the skill of forecasting atmospheric variability on quasi-biweekly (QBW) time scale. Eight dominant quasi-biweekly oscillation (QBWO) modes identified by the extended empirical orthogonal function analysis are focused. In the CFSv2, QBW variability exhibits a significant weakening tendency with lead time for all seasons. For most QBWO modes, the variance drops to only 50 % of the initial value at lead time of 11–15 days. QBW variability has better prediction skill in the winter hemisphere than in the summer hemisphere. Skillful forecast can reach about 10–15 days for most modes but those in the winter hemisphere have better forecast skills. Among the eight QBWO modes, the North Pacific mode and the South Pacific (SP) mode have the highest forecast skills while the Asia–Pacific mode and the Central American mode have the lowest skills. For the Asia–Pacific and Central American modes, the forecasted QBWO phase shows an obvious eastward shift with increase in lead time compared to observations, indicating a smaller propagating speed. However, the predicted feature for the SP mode is more realistic. Air–sea coupling on the QBW time scale is perhaps responsible for the different prediction skills for different QBWO modes. In addition, most QBWO modes have better forecasting skills in El Niño years than in La Niña years. Different dynamical mechanisms for various QBWO modes may be partially responsible for the differences in prediction skill among different QBWO modes. 相似文献
17.
基于1980—2018年罗格斯大学全球积雪实验室积雪面积、英国气象局哈得来中心海温、欧洲中期天气预报中心（ECMWF）第5代再分析（ERA-5）土壤湿度、美国国家环境预报中心和美国国家大气研究中心（NCEP/NCAR）再分析、美国国家海洋大气管理局（NOAA）气候预测中心降水（CMAP）和全球降水气候计划降水（GPCP）等数据,采用相关、合成和回归等分析方法,分析了前期青藏高原积雪和厄尔尼诺-南方涛动（ENSO）年际尺度变化对南海夏季风强度及降水的协同影响。结果表明:在年际尺度上,青藏高原积雪、ENSO与南海夏季风变率有密切关系,当青藏高原春季积雪西部偏多且东部偏少时,夏季高原西部对流层温度偏低,在高原上空产生异常下沉气流并向外辐散,引起中国南海地区对流层中低层为异常下沉气流。另外,赤道中东太平洋海温异常偏高则会使夏季印度洋海温异常偏高,对流层温度偏高,在西北太平洋产生东北风异常,加强西北太平洋和中国南海上空的反气旋性环流异常。在青藏高原积雪和ENSO共同影响下,夏季850 hPa中国南海上空反气旋异常进一步加强,南海夏季风强度减弱,降水减少。 相似文献
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东亚夏季风降水年代际变异模态及其与太平洋年代际振荡的关系 总被引：3，自引：0，他引：3
利用全球陆地月平均降水资料、英国气象局哈德莱中心的月平均海表温度距平(SSTA)资料及NCEP/NCAR再分析大气环流资料,探讨东亚夏季风降水年代际变率及其与太平洋年代际振荡(PDO)的联系。研究指出:东亚夏季风降水年代际变异模态以及PDO均在1976年前后呈现显著的年代际转折,并且东亚夏季风降水与PDO在年代际尺度上具有较好的相关关系。PDO能够在对流层低层激发出与年代际东亚夏季风环流较为相似的大气环流异常特征,表明东亚夏季风环流的年代际变化可能受大气外强迫因子PDO在对流层低层的外源强迫作用影响,最终导致东亚夏季风降水发生年代际变化。 相似文献
20.
2010年国家级和自治区级业务预测产品对内蒙古短期气候预测能力的检验 总被引：1，自引：1，他引：0
对2010年1-12月和春季(3-5月)、夏季(6-8月)国家气候中心和内蒙古气候中心的短期气候预测业务质量进行评分,以检验国家级和自治区级气候预测业务对内蒙古的预测能力.通过对比分析表明:总体来看,2010年短期气候预测质量检验评分内蒙古气候中心91.7％的月份温度预测和75％的月份降水预测高于国家气候中心,其中,春季温度预测较差;夏季降水预测较差.平均而言,业务预测质量明显高于模式产品质量.因此,需要在内蒙古业务预测分析参考时注意,降水预测的指导能力相对较弱. 相似文献