Comparison of surface wind stress characteristics over the Tropical Atlantic (10°N–40°S) in fields derived from the UWM/COADS, NCEP/NCAR and QuikSCAT datasets

A comparison of monthly wind stress derived from winds of NCEP/NCAR (National Centers for Environmental Prediction/National Center for Atmospheric Research) reanalysis and UWM/COADS (The University of Wisconsin-Milwaukee/Comprehensive Ocean-Atmosphere Data Set) dataset (1950–1993), and of NCEP/NCAR reanalysis and satellite-based QuikSCAT dataset (2000–2006), is made over the South Atlantic (10°N–40°S). On a mean seasonal scale, the comparison shows that these three wind stress datasets have qualitatively similar patterns. Quantitatively, in general, from about the equator to 20°S in the mid-Atlantic the wind stress values are stronger in NCEP/NCAR data than those in UWM/COADS data. On the other hand, in the Intertropical Convergence Zone (ITCZ) area the wind stress values in NCEP/NCAR data are slightly weaker than those in UWM/COADS data. In the South Atlantic, between 20° S–40°S, the QuikSCAT dataset presents complex circulation structures which are not present in NCEP/NCAR and UWM/COADS data. The wind stress is used in a numerical ocean model to simulate ocean currents, which are compared to a drifting-buoy observed climatology. The modeled South Equatorial Current agrees better with observations between March–May and June–August. Between December–February, the South Equatorial Current from UWM/COADS and QuikSCAT experiments is stronger and more developed than that from NCEP/NCAR experiment. The Brazil Current, in turn, is better represented in the QuikSCAT experiment. Comparison of the annual migration of ITCZ at 20° and 30°W in UWM/COADS and NCEP/NCAR data sources show that the southernmost position of ITCZ at 30°W in February, March and April coincides with the rainy season in NE Brazil, while the northernmost position of ITCZ at 20°W in August coincides with the maximum rainfall of Northwest Africa.     

基于中国全球海洋预报系统(CGOFS)的全球高分辨率再分析产品评估

通过同化系统将观测资料与海洋数值模式融合得到的海洋再分析产品为海洋科学研究提供了重要的资料基础.本文采用WOA,SODA,AVISO和GLORS四种数据资料与我国自主研发的中国全球海洋预报系统(CGOFS)的气候态结果进行了对比,结果表明:CGOFS和SODA的全球海表面温度与WOA的均方根误差分别为0.51和0.43℃.CGOFS和SODA的海表面盐度与WOA的均方根误差分别为0.48和0.40 PSU;海流方面,CGOFS能较好的刻画主要大洋环流分布及赤道潜流的垂向结构;CGOFS的全球海表面高度异常与AVISO的均方根误差为0.018m;多年月平均海冰外缘线覆盖面积介于SODA和GLORS之间,海冰体积的生消规律与SODA和GLORS一致.总体来看,CGOFS全球高分辨率海洋再分析产品的气候态结果与国际同类产品基本一致,可为提升我国海洋综合科技实力提供可靠的资料保障.     

Atmospheric and Coupled Model Intercomparison in Terms of Amplitude Phase Characteristics of Surface Air Temperature Annual Cycle

A model intercomparison in terms of surface air temperature annual cycle ampitude-phase characteristics(SAT AC APC)is performed. The models included in the intercomparison belong to two groups:five atmospheric models with prescribed sea surface temperature and sea ice cover and four coupled models forced by the atmospheric abundances of anthropogenic consituents (in total six coupled model simulations). Over land, the models, simulating higher than observed time averaged SAT,also tend to simulate smaller than observed amplitude of its annual and semiannual harmonics and (outside the Tropics laterthan-observed spring and autumn moments. The models with larger(smaller) time averaged amplitudes of annual and semiannual harmonics also tend to simulate larger(smaller)interannual standard deviations. Over the oceans, the coupled models with larger interannual standard deviations of annual mean SAT tend to simulate larger interannual standard deviations of both annual and semiannual SAT harmonics amplitudes. Most model errors are located in the belts 60°-70°N and 60°-70°S and over Antarctica. These errors are larger for those coupled models which do not employ dynamical modules for sea ice.No systematic differences are found in the simulated time averaged fields of the surface air temperature annual cycle characteristics for atmospheric models on one hand and for the coupled models on the other. But the coupled models generally simulate interannual variability of SAT AC APC better than the atmospheric models (which tend to underestimate it). For the coupled models, the results are not very sensitive to the choice of the particular scenario of anthropogenic forcing.There is a strong linear positive relationship between the model simulated time averaged semiannual SAT harmonics amplitude and interannual standard deviation of annual mean SAT.It is stronger over the tropical oceans and is weaker in the extratropics. In the tropical oceanic areas, it is stronger for the coupled than for the atmospheric models.     

月动力延伸预报产品在甘肃省的释用及评估

把月动力延伸预报产品的释用方法应用在甘肃省 58个气象站点 ,将其实况回报试验结果与持续性预报和近 6～ 1 0年的业务评分进行对比 ,结果表明 ,动力释用方法预报准确率明显高于持续性预报 ,也高于业务评分。同时分析了 1月和 7月预测效果好与差的环流场特征以及甘肃省分片区域的预测评估。     

普里兹湾区域风和温度资料对比分析: 以2007 年为例

通过分析再分析资料与站点观测资料的差异评估了普里兹湾区域5 套再分析资料的风速、风向以及 温度产品。这5 套再分析资料包括欧洲中心再分析资料(ERA-I)、日本25 年再分析资料(JRA-25)、日本55 年再分析资料(JRA-55)、美国国家环境预报中心再分析资料(CFSR)和美国国家航空航天局再分析资料 (MERRA)。采用的观测资料来自两个人工观测站和三个自动气象站。月平均和季节差异分析结果表明, Mawson 站点再分析资料的风速一般小于站点风速, 其他站点再分析资料一般风速过大, 所有的站点风向与 再分析资料风向差异不大, 再分析资料的2 m 温度总体低于人工观测站的温度, 自动站和再分析资料的差 异则没有一致的差异特征。通过6 h 风速资料对比, 发现当Mawson 站点风速低于5 m·s^–1 时, 再分析资料偏 高, 当站点风速高于15 m·s^–1 时, 再分析资料偏低, 且该站点记录的极端强风次数远多于再分析资料。     

块体空气动力算法的再计算湍通量与NCEP湍通量的比较

以NCEP资料提供的水文气象参数作为输入量,利用4种块体空气动力算法重新计算了动量和热量通量,与相应的NCEP自身提供的湍通量进行了比较分析,发现再计算动量、感热和潜热通量的偏差值随风速增加而增大;在中高风速下,再计算动量通量的相对误差较小,其他情况下再计算动量、感热和潜热通量的相对误差最高能达到50%左右;相对误差一般随纬度的增大而增大,表明两者之间存在不协调性。研究还表明,改进后的NCEP2资料与NCEP1资料相比,这种不协调性并没有得到改善。     

GHCN-CAMS和CMFD两种尺度再分析资料对宁夏气温反映能力评估

再分析资料能有效弥补实际观测数据时空分布不均的缺陷,开展再分析资料区域适应性评估对地气过程研究、气候分析等具有重要意义。论文利用宁夏24个气象观测站的平均气温,从2种空间尺度(0.5°×0.5°和0.1°×0.1°)和2种时间尺度(年、月),采用偏差、绝对偏差、均方根误差和相关系数等多个统计指标,评估了再分析资料对宁夏地区地面气温的反映能力。结果表明：① GHCN-CAMS(Global Historical Climatology Network and the Climate Anomaly Monitoring System)和CMFD(China Meteorological Forcing Dataset)2套再分析资料对宁夏气温的反映能力整体上均较强,前者对宁夏气温略高估,后者略低估;② 年和月2种时间尺度上,2种尺度的再分析资料存在阶段性正偏差和负偏差,且年尺度上的相关性好于月尺度的;③ 2套再分析资料对下垫面主要为农田(压砂种植)的气温均存在冷季高估、暖季低估的情况,对城镇两者总体均低估,对草地整体表现为CMFD在冷季低估、暖季略高估,而GHCN-CAMS在冷季高估、暖季低估。总体看,空间分辨率较高的CMFD再分析资料对宁夏气温的反映能力更好一些。     

Stochastic Post-Processing of CFSR Daily Precipitation across Canada

Reanalyses, based on numerical weather prediction methods assimilating past observations, provide continuous precipitation datasets and represent interesting options for assessing the climatology of regions with sparse station networks (e.g., northern Canada). However, reanalysis series cannot be used directly because of possible biases and mismatch between their spatial and temporal resolutions with that needed for local applications. To address these issues, a Stochastic Model Output Statistics (SMOS) approach was selected to post-process precipitation series simulated by the Climate Forecast System Reanalysis (CFSR) across Canada. This approach uses CFSR precipitation as a covariate and is based on two regression models: the first one is a logistic regression that deals with precipitation occurrence, and the second is a vector generalized linear model for precipitation intensity. At-site post-processed daily precipitation series are randomly generated using the SMOS approach, and selected climate indicators from the Expert Team on Climate Change Detection and Indices, which is jointly sponsored by the Commission for Climatology of the World Meteorological Organization's (WMO) World Climate Data and Monitoring Programme, the Climate Variability and Predictability Programme of the World Climate Research Programme, and the Joint WMO-IOC Technical Commission for Oceanography and Marine Meteorology (CCI/CLIVAR/JCOMM) are estimated and compared with corresponding observed and CFSR values. The two models in the SMOS approach, in addition to adequately correcting systematic biases, produced better predictions than the climatology of the wet and dry and intensity sequences. Additionally, the SMOS generally yields consistent climate indices when compared with those from CFSR without post-processing, though there is still room for improvement for specific indices (e.g., annual maximum of cumulative wet days).     

世界海洋蒸发波导时空统计规律研究

The statistical features of the evaporation duct over the global ocean were comprehensively investigated with reanalysis data sets from the National Centers for Environmental Prediction.These data sets have time and spatial resolutions of 1 h and 0.313°×0.312°,respectively.The efficiency of the analysis was evaluated by processing weather buoy data from the Pacific Ocean and measuring propagation loss in the Yellow Sea of China.The distribution features of evaporation duct height(EDH) and the related meteorological factors for different seas were analyzed.The global EDH is generally high and demonstrates a latitudinal distribution for oceans at low latitudes.The average EDH is approximately 11 m over oceans beside the equator with a latitude of less than 20°.The reasons for the formation of the global EDH features were also analyzed for different sea areas.     

长时间序列多源土壤湿度产品在中国地区的比较分析

研究利用实测数据对遥感产品(ECV CCI)、全球陆面同化系统产品(GLDAS/CLM、NOAH2.7、NOAH3.3、VIC、MOSAIC)、再分析资料(ERA-Interim、NCEP/DOE)等不同来源的8套长时间序列土壤湿度产品进行时空比较。结果表明:上述产品均可以模拟出中国不同区域土壤湿度的空间分布;从各产品平均态与实测数据的偏差、均方根误差、相关系数统计结果来看,NOAH模式和ERA-Interim表现最好,MOSAIC和NCEP/DOE与实测相差较大;从区域尺度上来看,所有产品在东北区域表现最好,在华南、西南南区和西北西区较差;ERA-Interim有效的模拟了土壤湿度的年际变化。