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1.
中国东部冬季降水的动力结合统计预测方法研究 总被引：1，自引：0，他引：1
针对中国东部6个气候关键区,首先,通过相关分析指出,冬季降水既与前期气候因子有关,又受同期大气环流的影响。因此,有必要采用动力与统计相结合的方法进行气候预测研究。然后,从实时预测的角度出发,综合考虑前期预测因子的观测信息和具有数值可预测性的同期气候因子的数值模式结果,使用多元线性回归分析方法就各区域平均冬季降水逐一建立了短期气候预测模型,并在预测模型中考虑了模型结果中系统误差的订正。交叉检验分析结果表明,所建立的各区域预测模型普遍具有较好的预测效果,预测优势主要表现在对冬季降水的变化趋势、年际变化、以及异常符号的预测准确率上。就6个区域平均而言,1982—2008年交叉检验结果与实况间的相关系数和距平同号率分别为0.69和78%,表明该预测思想具有可行性。 相似文献
2.
The purpose of this study was to design and test a statistical-dynamical scheme for the extraseasonal(one season in advance) prediction of summer rainfall at 160 observation stations across China.The scheme combined both valuable information from the preceding observations and dynamical information from synchronous numerical predictions of atmospheric circulation factors produced by an atmospheric general circulation model.First,the key preceding climatic signals and synchronous atmospheric circulation factors that were not only closely related to summer rainfall but also numerically predictable were identified as the potential predictors.Second,the extraseasonal prediction models of summer rainfall were constructed using a multivariate linear regression analysis for 15 subregions and then 160 stations across China.Cross-validation analyses performed for the period 1983-2008 revealed that the performance of the prediction models was not only high in terms of interannual variation,trend,and sign but also was stable during the whole period.Furthermore,the performance of the scheme was confirmed by the accuracy of the real-time prediction of summer rainfall during 2009 and 2010. 相似文献
3.
利用高原积雪信号改进我国南方夏季降水预测的新方法及其在2014年降水预测中的应用试验 总被引：1，自引：0，他引：1
2014年夏季我国南方出现严重洪涝、北方大部干旱,国内绝大多数预测模型在三月起报的汛期预测中均未能抓住位于南方地区的异常雨带,导致预测准确率明显偏低。基于模式对东亚地区夏季海平面气压场的高预报技巧和青藏高原冬季积雪与南方地区夏季降水的高相关性,本文提出一个针对我国夏季降水异常的组合统计降尺度预测新方法（Hybrid Statistical Downscaling Prediction,简称HSDP）,该方法综合利用了气候模式输出的高可预报性环流信息和前期观测的高原积雪异常信号,从而实现对我国南方夏季降水进行动力-统计相结合的改进预报。据此方法建立了一个基于国家气候中心气候预测模式的统计降尺度模型。对我国南方夏季降水进行跨季节预测的交叉检验结果显示,HSDP方法对于南方地区多年平均空间距平相关系数从模式原始预报的-0.006提高到0.24,且在大多数年份均有改进。基于HSDP方法于三月份制作的2014年夏季降水预测,能够很好地抓住南涝北旱的基本形势和我国南方的降水大值区,空间距平相关系数达到0.43。这表明,该方法对于我国夏季降水预测具有较好业务应用前景。 相似文献
4.
现阶段的动力气候模式尚不能满足东亚区域气候预测的实际需求,这就需要动力和统计相结合的方法,将动力模式中具有较高预测技巧的大尺度环流信息应用到降水等气象要素的统计预测模型当中,以改善后者预测效果。本文中所介绍的组合统计降尺度模型,可将动力气候模式预测的大尺度环流变量和前期观测的外强迫信号作为预测因子来预测中国夏季降水异常。交叉检验结果显示,组合统计降尺度预测模型的距平相关系数较原始模式结果有较大提高。在实时夏季降水预测中,2013～2018年平均的预测技巧相对较高,趋势异常综合检验（PS）评分平均为71.5分,特别是2015～2018年平均的PS评分预测技巧达到72.7分,总体上高于业务模式原始预测和业务发布预测的技巧。该组合统计降尺度模型预测性能稳定,为我国季节预测业务提供了一种有效参考。 相似文献
5.
With the methods of REOF (Rotated Empirical Orthogonal Function), the summer precipitation from 43 stations over eastern China for the 1901 - 2000 period was examined. The results show that South China and Southwest China, the middle and lower reaches of Changjiang River, North China and the southwestern of Northeast China are the three main areas of summer rainfall anomaly. Furthermore, correlation analysis is used in three time series of three mostly summer rainfall modes and four seasonal Pacific SSTA (Sea Surface Temperature Anomaly), and the results suggest that the Pacific SSTA which notably causes the summer rainfall anomaly over eastern China are the SSTA of the preceding winter over Kuroshio region of Northwest Pacific, SSTA of the preceding spring in the eastern and central equatorial Pacific, and SSTA of the current summer in the central region of middle latitude. The relationship between summer precipitation over eastern China and SSTA of Pacific key regions was further verified by SVD (Singular Value Decomposition) analysis.The composite analysis was used to analyze the features of atmospheric general circulation in the years of positive and negative precipitation anomaly. Its results were used to serve as the base of numerical simulation analysis. 相似文献
6.
With the methods of REOF (Rotated Empirical Orthogonal Function), the summer precipitation from 43 stations over eastern China for the 1901 - 2000 period was examined. The results show that South China and Southwest China, the middle and lower reaches of Changjiang River, North China and the southwestern of Northeast China are the three main areas of summer rainfall anomaly. Furthermore, correlation analysis is used in three time series of three mostly summer rainfall modes and four seasonal Pacific SSTA (Sea Surface Temperature Anomaly), and the results suggest that the Pacific SSTA which notably causes the summer rainfall anomaly over eastern China are the SSTA of the preceding winter over Kuroshio region of Northwest Pacific, SSTA of the preceding spring in the eastern and central equatorial Pacific, and SSTA of the current summer in the central region of middle latitude. The relationship between summer precipitation over eastern China and SSTA of Pacific key regions was further verified by SVD (Singular Value Decomposition) analysis.The composite analysis was used to analyze the features of atmospheric general circulation in the years of positive and negative precipitation anomaly. Its results were used to serve as the base of numerical simulation analysis. 相似文献
7.
借助英国气候研究所（Climate Research Unit, CRU）全球陆地格点分析数据集（CRU TS v4.0）月降水资料和24个国际耦合模式比较计划第五阶段（Coupled Model Intercomparison Project Phase 5, CMIP5）模式历史气候模拟及RCP4.5情景下的降水预估数据,设计了多种回归方案并对模式降水预估偏差进行订正。这些方案包括一元回归、一元对数回归、一元差分回归、一元对数差分回归、多元回归、多元对数回归、多元差分回归、多元对数差分回归和简单移除气候漂移等。2006～2015年中国大陆模式降水预估的订正结果表明,一元回归订正法普遍优于多元回归订正和扣除气候漂移订正法,其中一元对数回归法的效果最好,其降水距平同号率（Anomaly Rate, AR）和降水距平百分率相关系数（Anomaly Percentage Correlation Coefficient, APCC）最高,分别达到69%和0.5;而降水距平相关系数（Anomaly Correlation Coefficient, ACC）最高的是一元对数差分回归法。不同回归订正法所得预估结果的距平同号格点分布显示,一元对数回归法在北方优于南方,而一元差分（年际增量）或对数差分回归法在南方优于北方。这直接导致在中国南方区域（95°E以东,35°N以南）一元对数回归或多元对数回归订正结果的AR、ACC和APCC均低于对应的差分/对数差分回归法,在北方和西部地区则与此相反。因此,模式降水的回归订正方案具有区域性,这可能源于不同区域降水序列统计性质的差异。用区域组合回归订正法,即在南方用一元差分回归订正,其余地区用一元对数回归订正,其降水预估场的AR提高到72%,但ACC和APCC均略有下降,原因是差分回归订正增加了预估降水场的方差。对RCP4.5情景下2016～2045年24个模式集合平均降水预估的组合回归订正结果显示,相对于1976～2005年平均,未来30年降水异常大致呈南北少,中间多的格局,其中长江中下游、江南中西部、西南东北部、华南沿海和海南省等地降水偏少10%～20%,淮河流域、三江源区和台湾省降水偏多10%～40%,西北东部、华北和东北大部降水正常或略偏少。从降水百分率方差看,模式群的离散度（不确定度）呈现东部小,西部大的分布特征,说明模式预估的西北中部和青藏高原西部等降水偏少区的不确定性较大;而河套北部、华北南部和江南东部等地对应于2006～2015年检验期的“盲区”（模式与观测降水距平反号）,其降水预估参考价值可能不大,需要引入他法加以改进。 相似文献
8.
Based on an observational analysis, seven numerical experiments are designed to study the impacts of Pacific SSTA on summer precipitation over eastern China and relevant physical mechanism by NCAR CCM3. The numerical simulation results show that preceding winter SSTA in the Kuroshio region leads to summer precipitation anomaly over the Yangtze River valleys by modifying atmospheric general circulation over eastern Asia and middle-high latitude. West Pacific subtropical high is notably affected by preceding spring SSTA over the middle and east of Equator Pacific; SSTA of the central region of middle latitude in the corresponding period causes the summer rainfall anomaly over eastern China so as to trigger the atmospheric Eurasia-Pacific teleconnection pattern. 相似文献
9.
Based on an observational analysis, seven numerical experiments are designed to study the impacts of Pacific SSTA on summer precipitation over eastem China and relevant physical mechanism by NCAR CCM3. The numerical simulation results show that preceding winter SSTA in the Kuroshio region leads to summer precipitation anomaly over the Yangtze River valleys by modifying atmospheric general circulation over eastern Asia and middle-high latitude. West Pacific subtropical high is notably affected by preceding spring SSTA over the middle and east of Equator Pacific; SSTA of the central region of middle latitude in the corresponding period causes the summer rainfall anomaly over eastern China so as to trigger the atmospheric Eurasia-Pacific teleconnection pattern. 相似文献
10.
Based on an observational analysis, seven numerical experiments are designed to study the impacts of Pacific SSTA on summer precipitation over eastem China and relevant physical mechanism by NCAR CCM3. The numerical simulation results show that preceding winter SSTA in the Kuroshio region leads to summer precipitation anomaly over the Yangtze River valleys by modifying atmospheric general circulation over eastern Asia and middle-high latitude. West Pacific subtropical high is notably affected by preceding spring SSTA over the middle and east of Equator Pacific; SSTA of the central region of middle latitude in the corresponding period causes the summer rainfall anomaly over eastern China so as to trigger the atmospheric Eurasia-Pacific teleconnection pattern. 相似文献
11.
通过对2013年1月—2015年6月(MODES)发布的最优月预测产品在贵州省月平均气温距平和降水距平百分率的预测检验评估,发现MODES对全省平均气温有较好的预报,分析时段内预测与实况的相关系数为0.24,距平同号率为65.5%,且对气温偏高预测的可参考性高于其对气温偏低的预测。相比于气温,MODES对降水预测能力较弱,参考性也相对较低,其中对贵州全省平均降水偏多趋势的预测技巧要优于对全省平均偏少趋势的预报技巧。逐站分析显示,MODES对贵州气温预测效果较好的地区在西部、北部和东部,对降水偏多的预测效果较好的地区位于除西北部和北部边缘地区外的其余大部地区。通过对MODES与预报员综合预报的结果评估发现,MODES月预测总体效果较预报员好,且稳定性高于预报员,可为预报员提供参考信息。 相似文献
12.
Statistical Downscaling for Multi-Model Ensemble Prediction
of Summer Monsoon Rainfall in the Asia-Pacific
Region Using Geopotential Height Field 总被引：16，自引：1，他引：15
The 21-yr ensemble predictions of model precipitation and circulation in the East Asian and western North Pacific （Asia-Pacific） summer monsoon region （0°-50°N, 100° 150°E） were evaluated in nine different AGCM, used in the Asia-Pacific Economic Cooperation Climate Center （APCC） multi-model ensemble seasonal prediction system. The analysis indicates that the precipitation anomaly patterns of model ensemble predictions are substantially different from the observed counterparts in this region, but the summer monsoon circulations are reasonably predicted. For example, all models can well produce the interannual variability of the western North Pacific monsoon index （WNPMI） defined by 850 hPa winds, but they failed to predict the relationship between WNPMI and precipitation anomalies. The interannual variability of the 500 hPa geopotential height （GPH） can be well predicted by the models in contrast to precipitation anomalies. On the basis of such model performances and the relationship between the interannual variations of 500 hPa GPH and precipitation anomalies, we developed a statistical scheme used to downscale the summer monsoon precipitation anomaly on the basis of EOF and singular value decomposition （SVD）. In this scheme, the three leading EOF modes of 500 hPa GPH anomaly fields predicted by the models are firstly corrected by the linear regression between the principal components in each model and observation, respectively. Then, the corrected model GPH is chosen as the predictor to downscale the precipitation anomaly field, which is assembled by the forecasted expansion coefficients of model 500 hPa GPH and the three leading SVD modes of observed precipitation anomaly corresponding to the prediction of model 500 hPa GPH during a 19-year training period. The cross-validated forecasts suggest that this downscaling scheme may have a potential to improve the forecast skill of the precipitation anomaly in the South China Sea, western North Pacific and the East Asia Pacific regions, wh 相似文献
13.
ENSO对中国夏季降水可预测性变化的研究 总被引：16，自引：5，他引：16
众多研究表明,ENSO对东亚夏季风尤其是中国夏季降水存在很大影响,已成为中国夏季降水首要的预测因子。传统的预测模型认为,当前期ENSO为暖位相状态时,夏季中国主要雨带位置偏南,长江流域降水偏多;反之,当前期ENSO为冷位相状态时,夏季中国主要雨带位置偏北,长江流域降水偏少。基于1951—2003年中国160站月平均降水资料和同时段的NOAA ERSST海表温度资料,讨论了中国夏季降水和前冬Nino3区海温关系的年代际变化。分析结果显示,近20年来二者相关性已大大衰减。作为中国夏季降水的主要预测指标,ENSO的指示意义也相应减弱。在1951—1974年,依据前冬Nino3区SSTA预测夏季降水符号准确率在67%以上的站数有43站,但在1980—2003年,同样准确率的站数只有15站。在前一个研究时段,这43站呈区域性分布于东北地区、黄河和长江流域,但后一个研究时段内的15站分布分散,不利于区域性预测。相关分析结果表明,在20世纪70年代中期之前,当前冬赤道东太平洋海温偏高时,华北和江南南部的多数测站夏季降水偏多,淮河流域降水偏少,同时梅雨开始偏晚。反之,当前冬赤道东太平洋海温偏低时,华北和江南南部夏季降水易偏少,淮河流域降水则偏多,同时梅雨开始偏早。但在20世纪80年代之后,上述对应关系较难成立。因此,在汛期预测业务中参考ENSO的作用时必须充分考虑年代际背景的差异。 相似文献
14.
降水作为全球水循环的重要组成,与人们的生产生活密切相关.有效的降水预测对于防灾减灾,以及经济的可持续发展至关重要.然而,由于影响降水过程的复杂性,当前降水预测还存在诸多挑战.针对我国东部夏季降水,我们提出年际增量结合经验正交分解的新统计预测方法.首先计算降水年际增量的主模态,然后针对主模态时间序列构建预测模型,用预测的... 相似文献
15.
陆面热力因子应用于中国夏季降水预测的初步试验 总被引：4，自引：1，他引：3
基于对中国东部夏季降水与欧亚大陆土壤温度和全球海表温度的相关分析,选取不同关键区的土壤温度和海表温度作为夏季降水的预测因子。利用1961-1990年的资料,分别以土壤温度作为第1组预测因子,海表温度作为第2组预测因子,综合海表温度与土壤温度因子作为第3组预测因子,使用改进的典型相关分析和集合典型相关分析法对中国东部夏季降水场进行预测,建立了相应的预测模型。然后,利用1991—2010年的资料进行了独立样本预测试验。在独立样本预测试验中,综合海表温度与土壤温度因子建立的模型比只用海表温度进行预测的各项预测评分高,说明加入土壤温度因子后预测效果有所提高。基于陆面热力因子的预测模型对夏季降水有一定的技巧,而综合海温与陆面热力因子的预测模型对中国东部夏季降水有较高的预测能力。 相似文献
16.
基于土壤湿度和年际增量方法的我国夏季降水预测试验 总被引：1，自引：0，他引：1
选取欧亚大陆9个关键区的土壤湿度年际增量作为预测因子,采用变形的典型相关分析(BP-CCA)结合集合典型相关分析(ECC)方法建立集合预测模型,对我国东部夏季降水的年际增量进行预测,进而预测夏季降水。其中,1980~2004年的资料用于历史预测试验,而2005~2014年的资料用于独立样本预测试验。首先利用BP-CCA方法对9个因子分别建立单因子预测模型,然后采用ECC方法对9个预测因子按照不同的组合方式建立集合预测模型,并且对独立样本检验的效果进行了评估。结果表明,不同预测因子的组合对我国夏季降水均表现出一定的预测能力:东欧平原、贝加尔湖以北、我国河套地区及长江以南地区的土壤湿度对华北夏季降水预测效果较好;而巴尔喀什湖以北地区、我国西北地区、河套地区以及长江以南地区的土壤湿度对江淮夏季降水有较好预测效果;东欧平原、巴尔喀什湖以北地区以及我国河套地区的土壤湿度对华南降水预测技巧较高。这三组模型预测出的降水变化趋势与相应区域的观测结果较为一致,且预测评分(PS)均超过70分,距平相关系数(ACC)均为正值。研究表明土壤湿度因子中包含了对我国夏季降水有用的预测信号,可以考虑将土壤湿度应用于夏季降水的预测业务中。 相似文献
17.
利用国家气候中心第二代气候模式预测业务系统(BCC-CPSv2)预测产品,引入印度洋海温信号,采用组合降尺度方法建立了西北地区东部汛期降水预测模型。该预测模型对1991—2017年西北地区东部夏季降水的回报技巧较BCC-CPSv2预测技巧显著提高,空间相关系数由0.42提高到0.75,均方根误差明显减小,最多下降达80%。预测模型对降水空间分布型的预测能力较好,很好地回报了典型年份（1987年和2010年）夏季的降水距平百分率分布。通过抓住气象变量的空间分布特征,组合降尺度方法可以修正动力模式产品的预测误差,为西北地区东部夏季降水预测提供科学依据和技术支持,具有较好的应用前景。 相似文献
18.
The characteristics of longitudinal movement of the subtropical high in the western Pacific in the pre-rainy season in South China 总被引：7，自引：0，他引：7
Using the NCEP/NCAR reanalysis data, the China rainfall data of the China Meteorological Administration, and the sea surface temperature (SST) data of NOAA from 1951-2000, the features of the anomalous longitudinal position of the subtropical high in the western Pacific (SHWP) in the pre-rainy season in South China and associated circulation and precipitation are studied. Furthermore, the relationship between SHWP and SST and the eastern Asian winter monsoon is also investigated. Associated with the anomalous longitudinal position of SHWP in the pre-rainy season in South China, the flow patterns in both the middle and lower latitudes are different. The circulation anomalies greatly influence the precipitation in the pre-rainy season in South China. When the SHWP is in a west position (WP), the South China quasi-stationary front is stronger with more abundant precipitation there. However, when the SHWP is in an east position (EP), a weaker front appears with a shortage of precipitation there. There exists a good relationship between the longitudinal position of SHWP and SST in the tropical region. A negative correlation can be found both in the central and eastern tropical Pacific and the Indian Ocean.This means that the higher (lower) SST there corresponds to a west (east) position of SHWP. This close relationship can be found even in the preceding autumn and winter. A positive correlation appears in the western and northern Pacific and large correlation coefficient values also occur in the preceding autumn and winter. A stronger eastern Asian winter monsoon will give rise to cooler SSTs in the Kuroshio and the South China Sea regions and it corresponds to negative SST anomaly (SSTA) in the central and eastern Pacific and positive SSTA in the western Pacific in winter and the following spring. The whole tropical SSTA pattern, that is, positive (negative) SSTA in the central and eastern Pacific and negative (positive) SSTA in the western Pacific, is favorable to the WP (EP) of SHWP. 相似文献
19.
本文利用1961~2012年夏季西北地区东部(32~40°N,100~110°E)156个站点逐日降水资料,以及1982~2012年青藏高原70个站点的地面感热观测资料,采用EOF、相关分析等方法分析了西北地区东部夏季降水、青藏高原冬末春初(2~4月)地面感热的时空变化特征,讨论了西北地区东部夏季降水对于青藏高原冬末春初地面感热异常的响应,通过环流场分析高原感热异常对西北东部夏季降水的影响成因。结果表明:高原东部冬末春初地面感热偏强时,西北东部地区北部降水偏少,东南部和西南部降水偏多;反之,西北东部北部降水偏多,东南部和西南部降水偏少。 相似文献
20.
次季节气候和径流预测是主动减灾的一个关键。基于国家气候中心第三代气候模式系统的次季节到季节模式(CMA-CPS v3 S2S)的气候预测信息和HBV水文模型,应用集合预测技术研发了未来40 d时段平均径流量和时段内极端干旱概率预测模型,应用平均方差技巧评分、距平相关系数、相对操作特征曲线面积、布赖尔技巧评分开展了回报检验,并检验了2021年黄河流域径流异常预测效果。结果表明,所建模型能够以较高技巧预测黄河流域未来40 d时段平均的径流量,且表现出枯季预测技巧高、湿季技巧低的季节差异;对秋末11月和冬季3个月(12月、1月、2月)的极端干旱概率预测也有较高技巧。对于2021年5—8月黄河上中游干旱和9—10月的秋汛,该方法正确预测了除6月、9月外的其他4个月的径流异常方向,但异常程度与实况存在差异。对径流预测水平影响因素的进一步分析表明,S2S降水预测能力影响径流预测水平,特别是丰水期的径流预测,但还有降水之外的其他因素影响径流预测技巧。 相似文献