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21.
The performances of various dynamical models from the Asia-Pacific Economic Cooperation(APEC) Climate Center(APCC) multi-model ensemble(MME) in predicting station-scale rainfall in South China(SC) in June were evaluated.It was found that the MME mean of model hindcasts can skillfully predict the June rainfall anomaly averaged over the SC domain.This could be related to the MME's ability in capturing the observed linkages between SC rainfall and atmospheric large-scale circulation anomalies in the Indo-Pacific region.Further assessment of station-scale June rainfall prediction based on direct model output(DMO) over 97 stations in SC revealed that the MME mean outperforms each individual model.However,poor prediction abilities in some in-land and southeastern SC stations are apparent in the MME mean and in a number of models.In order to improve the performance at those stations with poor DMO prediction skill,a station-based statistical downscaling scheme was constructed and applied to the individual and MME mean hindcast runs.For several models,this scheme can outperform DMO at more than 30 stations,because it can tap into the abilities of the models in capturing the anomalous Indo-Paciric circulation to which SC rainfall is considerably sensitive.Therefore,enhanced rainfall prediction abilities in these models should make them more useful for disaster preparedness and mitigation purposes.  相似文献   
22.
赵琳娜  董航宇  吴亮  王彬雁  白雪梅  党皓飞 《气象》2015,41(12):1503-1513
利用我国黄淮地区1961—2010年50年6—8月的日降水资料,采用REOF和t检验的方法,将中国黄淮地区夏季降水分成Ⅰ—Ⅴ区。5个区域进行差异性t检验表明5个区域之间(彼此)差异显著,说明了区域划分的正确性。在此基础上利用1999—2007年6—8月站点日降水资料以及CFSv2模式后预报的日降水资料建立了5个区域内共5个代表站点的夏季日降水概率预报方程,并进行了确定性、概率性预报检验和业务试用检验。对各区域内5个代表站日降水量的确定性预报检验表明:Logistic回归降水概率预报方程的TS评分要高于CFSv2模式预报和T213的集合预报平均,空报率也低于CFSv2模式预报和T213集合预报平均,但是漏报率却略高。各区域代表站日降水量的概率预报Brier评分检验表明:Brier评分均不超过0.2,大大低于T213集合预报所得概率预报的Brier评分分值,说明本文Logistic回归方程的概率预报较为可靠。Brier技巧评分表明:Logistic回归降水概率预报方程各站的BSS技巧评分都大于0.0,说明各站的预报技巧高于检验样本气候概率的预报技巧,且高于T213集合预报的Brier技巧评分,说明在分区基础上建立Logistic回归降水概率预报方程的方法是有预报意义的。  相似文献   
23.
In Germany, a county-resolution data set that consists of 35 land-use and animal-stock categories has been used extensively to assess the impact of agriculture on the environment. However, because such environmental effects as emission or nutrient surplus depend on the location, even a county resolution might produce misleading results. The aim of this article is to propose a Bayesian approach which combines two sorts of information, with one being treated as defining the prior and the other the data to form a posterior, used to estimate a data set at a municipality resolution. We define the joint prior density function based on (i) remote sensing data, thus accounting for differences in county data and missing data at the municipality level, and (ii) the results of a cluster analysis that was previously applied to the micro-census, whereas the data are defined by official statistics at the county level. This approach results in a fairly accurate data set at the municipality level. The results, using the proposed method, are validated by the national research data centre by comparing the estimates to actual observations. The test statistics presented here demonstrate that the proposed approach adequately estimates the production activities.  相似文献   
24.
基于2001~2010年TRMM 3B43降水资料和数字高程模型(DEM)数据,采用回归模型+残差的方法,对甘肃临夏回族自治州近10 a的TRMM 3B43降水数据进行降尺度运算,并结合研究区6个雨量站的观测值,对TRMM 3B43降尺度结果进行精度检验,在此基础上定量研究了临夏回族自治州近10 a的降水量时空变化特征。结果表明:TRMM 3B43降尺度降水量数据整体上具有一定的可信度,但比地面台站的观测值偏小;甘肃临夏州年降水量呈现出由西南向东北递减的趋势,且降水量随着海拔高度的升高而逐渐增加,两者相关系数为0.82;年内降水主要集中在5~9月,基本占全年降水量的70%以上,其中6月降水量最大,12月降水量最小。  相似文献   
25.
A statistical regression downscaling method was used to project future changes in precipitation over eastern China based on Phase 5 of the Coupled Model Intercomparison Project (CMIPS) the Representative Concentration Pathway (RCP) scenarios simulated by the second spectral version of the Flexible Global Ocean- Atmosphere-Land System (FGOALS-s2) model. Our val- idation results show that the downscaled time series agree well with the present observed precipitation in terms of both the annual mean and the seasonal cycle. The regres- sion models built from the historical data are then used to generate future projections. The results show that the en- hanced land-sea thermal contrast strengthens both the subtropical anticyclone over the western Pacific and the east Asian summer monsoon flow under both RCPs. However, the trend of precipitation in response to warming over the 21 st century are different across eastern Chi- na under different RCPs. The area to the north of 32°N is likely to experience an increase in annual mean precipitation, while for the area between 23°N and 32°N mean precipitation is projected to decrease slightly over this century under RCP8.5. The change difference between scenarios mainly exists in the middle and late century. The land-sea thermal contrast and the associated east Asian summer monsoon flow are stronger, such that precipitation increases more, at higher latitudes under RCP8.5 compared to under RCP4.5. For the region south of 32°N, rainfall is projected to increase slightly under RCP4.5 but decrease under RCP8.5 in the late century. At the high resolution of 5 km, our statistically downscaled results for projected precipitation can be used to force hydrological models to project hydrological processes, which will be of great benefit to regional water planning and management.  相似文献   
26.
吉林春旱期降水潜在影响因子的分离时间尺度分析   总被引:1,自引:0,他引:1       下载免费PDF全文
基于1960—2012年的地面常规气象指标、大尺度气候指数和NOAA气候分析产品,利用功率谱周期分析、时间尺度分离分析和交叉检验的逐步回归分析等,把吉林省春旱期(4—5月)降水量分离成不同时间尺度的值,并在年代际尺度和年际尺度下分别找到显著相关的影响因子。结果表明:吉林春旱期降水存在着2~4 a的年际变化和10 a左右的年代际变化。在年代际尺度上,4月降水与前期3月南半球环球状态指数以及俄罗斯东部高纬地区的低空经向风有关,5月降水与同期北半球环球状态指数和前期4月太平洋中高纬环流有关;在年际尺度上,4月降水与前期3月混合ENSO指数和同期当地相对湿度、华东华北沿海地区的低层经向风有关,5月降水与同期北大西洋涛动指数以及局地相对湿度、地面气压有关。利用选出的影响因子对降水进行预报,估计值和真实值的相关系数分别为0.67(4月)和0.81(5月),且选择合适的影响因子比模型结构更加重要。  相似文献   
27.
基于TIGGE(THORPEX Interactive Grand Global Ensemble,全球交互式大集合)资料中欧洲中期天气预报中心(European Centre for Medium-Range Weather,ECMWF)、日本气象厅(Japan Meteorological Agency,JMA)、美国国家环境预报中心(National Centers for Environmental Prediction,NCEP)和英国气象局(United Kingdom Met Office,UKMO)4个中心的北半球地面2 m气温集合平均预报资料,利用插值技术与回归分析,并引入了消除偏差集合平均(bias-removed ensemble mean,BREM)和多模式超级集合(superensemble,SUP)方法进行统计降尺度预报研究。结果表明,在2007年夏季3个月中,4个单中心的降尺度预报明显地改善了预报效果。引入SUP和BREM两种集成预报方法后,预报误差得到进一步减小。对比综合表现最好的单中心ECMWF的预报,1~7 d的降尺度预报误差改进率均达20%以上。研究还发现,引入SUP方法的降尺度预报效果优于引入BREM方法的降尺度预报,利用双线性插值方法在上述两方案中的预报效果优于其他3种插值方法。  相似文献   
28.
江苏—南黄海地区M≥6强震有序网络结构及其预测研究   总被引:2,自引:1,他引:1  
基于TIGGE(THORPEX Interactive Grand Global Ensemble,全球交互式大集合)资料中欧洲中期天气预报中心(European Centre for Medium-Range Weather,ECMWF)、日本气象厅(Japan Meteorological Agency,JMA)、美国国家环境预报中心(National Centers for Environmental Prediction,NCEP)和英国气象局(United Kingdom Met Office,UKMO)4个中心的北半球地面2m气温集合平均预报资料,利用插值技术与回归分析,并引入了消除偏差集合平均(bias-removed ensemble mean,BREM)和多模式超级集合(superensemble,SUP)方法进行统计降尺度预报研究.结果表明,在2007年夏季3个月中,4个单中心的降尺度预报明显地改善了预报效果.引入SUP和BREM两种集成预报方法后,预报误差得到进一步减小.对比综合表现最好的单中心ECMWF的预报,1~7d的降尺度预报误差改进率均达20%以上.研究还发现,引入SUP方法的降尺度预报效果优于引入BREM方法的降尺度预报,利用双线性插值方法在上述两方案中的预报效果优于其他3种插值方法.  相似文献   
29.
30.
《Atmósfera》2014,27(4):429-449
This paper proposes a new methodology for generating climate change scenarios at the local scale based on multivariate time series models and restricted forecasting techniques. This methodology offers considerable advantages over the current statistical downscaling techniques such as: (i) it provides a better representation of climate at the local scale; (ii) it avoids the occurrence of spurious relationships between the large and local scale variables; (iii) it offers a more appropriate representation of variability in the downscaled scenarios; and (iv) it allows for compatibility assessment and combination of the information contained in both observed and simulated climate variables. Furthermore, this methodology is useful for integrating scenarios of local scale factors that affect local climate. As such, the convenience of different public policies regarding, for example, land use change or atmospheric pollution control can be evaluated in terms of their effects for amplifying or reducing climate change impacts.  相似文献   
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