两套新型高分辨率再分析降水资料在湖南年季尺度上的适用性评估

利用1979—2018年实测降水资料对同期中国区域地面气象要素数据集(China Meteorological Forcing Dataset,CMFD)、中国全球陆面再分析40年产品(CRA-40/Land,CRA-40)再分析降水资料在湖南省内的均值、年际变化和相关性等进行比较评估。结果表明:(1)在年平均降水分布上,两套再分析资料对少雨区反映均较好,CMFD对湘西北、湘南地区降水分布反映较CRA-40好,而CRA-40对湘东地区降水分布反映好于CMFD。(2) CMFD资料和CRA-40资料的降水值绝对偏差均主要集中在0～50 mm和50.1～100 mm区间,CMFD资料分别占比56.8%和20%,CAR-40资料分别占比40%和35.8%。(3)在多年各季平均降水分布上,CMFD资料的四季平均降水均以大于实况值为主;CRA-40资料四季平均降水在湘北以负偏差为主,在湘南则以正偏差为主。(4)在年平均降水的年际变化上,两套资料各时段变化趋势均与实况一致,1979—1984年、1999—2010年年降水量呈减小趋势,1985—1998年、2011—2018年为增加趋势,对比各时段气候倾向率可知,CMFD降水资料较CRA-40更接近实况。(5)两套再分析资料的降水与实况降水的相关系数普遍在0.75以上,有90%以上的站点相关系数通过0.05显著性水平检验,再分析降水资料与实况降水资料的年际变率相关性在湘北和湘南地区最好、在湘中一带较差。     

中国区域ERA-40、NCEP-2再分析资料与观测资料的初步比较与分析

再分析资料在气候变化研究中有着广泛的应用,但是再分析资料在不同时空尺度上的可信度能够影响到研究结果。作者就中国区域的月平均地表(2 m)气温和降水两种基本气候变量在空间分布及其变化趋势上对ERA-40和NCEP-2与观测资料之间的差异做了一些比较和分析,对两套再分析资料的可信度进行了初步的检验。结果表明:两套再分析资料基本上都能反映出中国区域的温度场和降水场的时空分布,尽管在中国西部,尤其是青藏高原地区的差异比较较大;再分析资料在东部地区的可信度高于西部,温度场的可信度要高于降水场,ERA-40可信度要高于NCEP-2。     

20CR再分析资料在东亚夏季风区的质量评估

本文利用NCEP1和ERA40再分析资料, 并结合观测资料, 对最新公布的一套再分析资料——20CR再分析资料在东亚夏季风区的质量进行了综合评估。本文主要是从气候态、年际变率、年代际变化三个方面, 来评估20CR再分析资料在东亚夏季风区的质量。结果表明, 在气候平均态上, 20CR再分析资料基本合理再现了东亚夏季风区的高低层环流场(包括南亚高压、副热带西风急流、近地层风场)以及经向环流圈特征。但相较于NCEP1和ERA40, 20CR所刻画的南亚高压偏强, 西风急流偏北, 对流层中上层温度系统性偏高。在年际变率方面, 除了NCEP1在1967年之前存在偏差, 使其结果和ERA40、20CR不同之外, 三套再分析资料刻画的东亚夏季风变率在其它时段高度一致。三套资料在以纬向风为基础的东亚夏季风指数上的一致性, 高于以经向风为基础的东亚夏季风指数, 其中以低层纬向风为基础的东亚夏季风指数的一致性最高。20CR再分析资料可以较好地再现与东亚夏季风相联系的地表气温和降水年际变化特征, 其刻画的地表气温正相关中心位置偏西、强度最强, 且在河套平原地区有一个弱的负相关中心, 而其描述的降水在孟加拉湾和长江流域较之另外两套再分析资料更接近观测结果, 在热带地区和海上却反之。在年代际变化方面, 20CR再分析资料未能合理再现东亚夏季风年代际减弱的现象, 这也体现在不能合理再现青藏高原下游年代际变冷和“南涝北旱”降水型上, 这主要是因为20CR再分析资料所刻画的东亚地区对流层中上层年代际变冷信号偏弱所致。而在百年时间尺度上, 20CR再分析资料所刻画的东亚夏季风变化与观测较为一致;20CR再分析资料可以合理再现出东亚夏季风区1920年代前的显著冷期和1990年代之后的迅速增暖期, 但对1920～1950年代相对暖期和1950～1980年代相对冷期的再现能力较差。     

NCEP/NCAR和ERA-40再分析资料以及探空观测资料分析中国北方地区年代际气候变化

利用中国东部的探空站资料以及ERA40和NCAR/NCEP再分析资料,详细地比较了我国北方地区(主要指内蒙古以及华北地区)的高低层位势高度以及温度的特征.结果表明,在20世纪70年代以前,NCEP/NCAR再分析资料对我国北方地区对流层低层无论是位势高度或温度都描述不好,存在着很明显的虚假年代际变化趋势.与实际探空资料相比,相对于NCEP/NCAR再分析资料,ERA-40再分析资料对东亚地区对流层低层位势高度或温度的描述明显好于NCEP/NCAR再分析资料,因此,研究东亚气候的年代际变化应用ERA-40再分析资料要好一些.高层的结果要比低层好.在70年代以后,NCEP/NCAR再分析资料对于内蒙古和华北对流层上层的位势高度和温度的描述要好于ERA-40再分析资料,更接近于实际探空值,这说明这两份再分析资料各有优缺点.       

三套再分析降水资料在华南地区的适用性评估

利用1980-2017年观测站降水数据(OBS)为参照标准,对目前广泛应用的三套再分析资料,即ERAI资料、JRA-55资料和CFSR资料在华南地区降水空间分布和年际变化的再现能力进行分析与评估。结果表明,不同资料对不同季节降水的再现能力存在显著差异,三者对降水年际变化的刻画都较为优秀,但对降水空间分布描述偏差较大,且在夏季最为明显;三者之间对比,ERAI对春季和冬季降水时空变化表现能力较为优秀,但在秋季表现一般;CFSR降水与实测时空相关性较好,但都存在降水系统性高估,在夏季最为严重,偏差达到5 mm·d~(-1);JRA-55对夏季和秋季降水刻画相对最佳,但对冬季降水存在高估。     

西昌卫星发射场及周围地区大气可降水量的气候分析

本文利用1974~2010年NCEP/NCAR月平均可降水量再分析资料和同期西昌发射场的实测降水资料,对发射场及周围地区大气可降水量进行气候分析。结果表明,发射场及周围地区大气可降水量具有明显的季节、月际、年际和年代际变化。四季都呈南湿北干的分布,夏季可降水量含量最大,冬季最小。发射场区可降水量分布在整体上大致为西北-东南向的凹字形,具有南北向扩散,东西向阻隔的作用。发射场干、湿年夏季可降水量差异明显,发射场及周围地区可降水量的平均降水转化率也明显不同,这些都影响了发射场降水气候的变化。      

两套土壤湿度再分析资料在黑河流域的对比分析

利用黑河流域少量观测台站的实测降水和土壤湿度资料, 对比分析了欧洲中心ERA40及美国NCEP R-1两套常用的土壤湿度再分析资料在黑河流域的空间分布、 年际变化和季节循环特征, 结果表明:两套资料在黑河流域均能表现出“南湿北干”的分布格局, 湿度高值中心位于祁连山区东南部\.以此为中心, 土壤湿度从上游山区向中下游递减。ERA40土壤湿度在祁连山区年际变化明显, 与降水的响应关系要好于NCEP资料, 在中下游站点, NCEP 10 cm层土壤湿度对降水的响应好于ERA40。祁连站ERA40土壤湿度在6~8月接近观测值, 在额济纳站两套资料对于土壤湿度的描述都不理想。     

长江流域水分收支以及再分析资料可用性分析

首先利用实测资料定量计算了长江流域水分收支的各分量,包括降水、径流、蒸发、水汽辐合等,分析其季节循环、年际变化以及线性趋势变化。结果表明,多年平均该流域是水汽汇区,主要来自平均流输送造成的水汽辐合,而与天气过程密切相关的瞬变波则主要造成流域的水汽辐散。蒸发所占比例接近于径流,对流域水分循环十分重要。大部分要素的季节变化和年际变化都很大,只有蒸发和大气含水量的年际变化较小。降水和平均流输送造成的水汽辐合一般在6月达到年内最大,12月达到年内最小,而径流和大气含水量则一般滞后1个月于7月达到年内最大,1月降为年内最小。1958—1983年,夏半年降水略微增加,冬半年略微减少,各月实测径流为弱的增长趋势,但均不显著,年平均蒸发亦无显著的趋势变化。然后将实测资料同ECMWF及NCEP/NCAR再分析资料作进一步对比分析,以检验两套再分析资料对长江流域水分循环的描述能力。在量值上,NCEP/NCAR再分析资料中的降水、蒸发、径流均比实测偏大很多,大气含水量及由平均流输送所造成的水汽辐合则偏小很多;ECMWF再分析资料中的降水量、径流量基本上与实测接近,蒸发量偏大,大气含水量及由平均流输送所造成的水汽辐合偏小,但比NCEP/NCAR再分析资料要接近实测。另外,该两套再分析资料均可以较好地描述长江流域水分收支的季节循环和年际变化,而且同样是ECMWF再分析资料与实测资料的一致性更好。但是两套再分析资料在1958—1983年均存在十分夸张的线性趋势变化,尤其是ECMWF再分析资料。     

我国东部夏季降水异常主模态的年代际变化及其与东亚水汽输送的关系

本文利用1958～2000年ERA-40再分析每日资料和我国516台站降水资料以及EOF方法,分析了我国东部季风区夏季降水异常主模态的年代际变化特征及其与东亚上空水汽输送通量时空变化的关系.分析结果表明了我国东部季风区夏季降水的时空变化存在两种主模态:第1主模态不仅显示出明显的准两年周期振荡的年际变化特征且也有明显的年...     

对三套再分析资料中国大陆地区夏季降水量的评估分析

以中国台站降水为参照,评估分析了三套再分析资料(NCEP/DOE,ERA和JRA)对中国夏季降水场的再现能力。结果显示,三套资料均能基本再现夏季降水量分布的主要特征,亦能较好刻画大部分地区降水的年际和季节内变化特征,但同时也存在诸多问题:NCEP资料在青藏高原东坡存在一个虚假降水中心,且对中西部和西南地区夏季降水的季节内演变特征再现能力较差;ERA资料降水量系统性偏小,且不能合理描述中西部地区降水的年际变化;JRA资料高估了华南沿海地区的降水量。三套资料均存在高估弱降水、低估强降水的问题。对日降水量≥0.1 mm的降水事件进行TS、BS评分,三套资料的TS评分在0.6左右,BS评分在1.5左右;随着参与评分的降水等级的提升,两项评分都迅速下降,三套资料对暴雨的预报评分都非常低。通过分析可了解当前较先进的数值预报模式在基本真实的环流场强迫下对我国夏季降水的预报能力,认识模式中物理参数化过程导致的模拟偏差,为模式发展和评估提供参照。     

Comparison of Products from ERA-40, NCEP-2, and CRU with Station Data for Summer Precipitation over China

Summer precipitation products from the 45-Year European Centre for Medium-Range Weather Forecast (ECMWF) Reanalysis (ERA-40), and NCEP-Department of Energy (DOE) Atmospheric Model Intercomparison Project (AMIP-II) Reanalysis (NCEP-2), and Climatic Research Unit (CRU) TS 2.1 dataset are compared with the corresponding observations over China in order to understand the quality and utility of the reanalysis datasets for the period 1979–2001. The results reveal that although the magnitude and location of the rainfall belts differ among the reanalysis, CRU, and station data over South and West China, the spatial distributions show good agreement over most areas of China. In comparison with the observations in most areas of China, CRU best matches the observed summer precipitation, while ERA-40 reports less precipitation and NCEP-2 reports more precipitation than the observations. With regard to the amplitude of the interannual variations, CRU is better than either of the reanalyses in representing the corresponding observations. The amplitude in NCEP-2 is stronger but that of ERA-40 is weaker than the observations in most study domains. NCEP-2 has a more obvious interannual variability than ERA-40 or CRU in most areas of East China. Through an Empirical orthogonal function (EOF) analysis, the main features of the rainfall belts produced by CRU agree better with the observations than with those produced by the reanalyses in the Yangtze-Huaihe River valley. In East of China, particularly in the Yangtze-Huaihe River valley, CRU can reveal the quasi-biennial oscillation of summer precipitation represented by the observations, but the signal of ERA-40 is comparatively weak and not very obvious, whereas that of NCEP-2 is also weak before 1990 but very strong after 1990. The results also suggest that the magnitude of the precipitation difference between ERA-40 and the observations is smaller than that between NCEP-2 and the observations, but the variations represented by NCEP-2 are more reasonable than those given by ERA-40 in most areas of East China to some extent.     

Comparison of surface variables from ERA and NCEP reanalysis with station data over eastern China

This study compared precipitation, mean air temperature (MAT) and mean sea level pressure (MSLP) from two widely used reanalysis datasets (ERA-40 and NCEP) with those from observed stations across eastern China. The evaluation was based on a comparison of both temporal and spatial variability and included several assessment criteria such as the mean values, normalized root mean square error, Mann–Kendall test, empirical orthogonal functions (EOFs) and probability density functions. The results showed that both the ERA-40 and NCEP datasets could capture temporal and spatial variability of the observed precipitation, MAT and MSLP over eastern China. The results showed that the two reanalysis datasets performed better for MAT and MSLP than for precipitation. Overall, the two reanalysis datasets revealed reasonable agreement with observations according to the evaluation. ERA-40 was better at capturing the temporal and spatial distributions for these three variables than NCEP, especially for MAT and MSLP. NCEP tended to overestimate the annual precipitation for both mean and extreme values, while ERA-40 tended to underestimate it, particularly for extreme values. The two reanalysis datasets performed better in the east and northeast regions of the study area than in other regions for capturing the temporal variability of MAT and MSLP. ERA-40 was poor at capturing the temporal variability of precipitation in northeastern China. According to the trend analysis, the two reanalysis datasets showed lower trends for MAT and precipitation and higher trends for MSLP. Both ERA-40 and NCEP had larger explained variances for the first two EOFs than the observed precipitation. This implies that both reanalysis datasets tend to simulate a more uniform spatial distribution for precipitation in the study area.     

Accumulation over the Greenland Ice Sheet as Represented in Reanalysis Data

Annual precipitation,evaporation,and calculated accumulation from reanalysis model outputs have been investigated for the Greenland Ice Sheet (GrIS),based on the common period of 1989-2001.The ERA-40 and ERA-interim reanalysis data showed better agreement with observations than do NCEP-1 and NCEP-2 reanalyses.Further,ERA-interim showed the closest spatial distribution of accumulation to the observation.Concerning temporal variations,ERA-interim showed the best correlation with precipitation observations at five synoptic stations,and the best correlation with in situ measurements of accumulation at nine ice core sites.The mean annual precipitation averaged over the whole GrIS from ERA-interim (363 mm yr 1) and mean annual accumulation (319 mm yr 1) are very close to the observations.The validation of accumulation calculated from reanalysis data against ice-core measurements suggests that further improvements to reanalysis models are needed.     

Validation of ECMWF and NCEP–NCAR Reanalysis Data in Antarctica

The European Center for Medium-Range Weather Forecast (ECMWF) Re-Analysis (ERA-40) and the National Centers for Environmental Prediction-National Center for Atmospheric Research (NCEP-NCAR) ECMWF (ERA-40) and NCEP-NCAR reanalysis data were compared with Antarctic station observations, including surface-layer and upper-layer atmospheric observations, on intraseasonal and interannual timescales. At the interannual timescale, atmospheric pressure at different height levels in the ERA-40 data are in better agre...     

几种再分析地表气压资料在中国区域的适用性评估

应用台站观测资料对ERA-40, NCEP/NCAR以及NCEP/DOE再分析地表气压产品在中国不同区域、不同年代和不同季节的适用性进行了评估。分析发现, 几种再分析产品虽然能在一定程度上反映出观测资料所具有的时空分布特征, 但它们之间的差异却具有明显的区域和季节变化特征, 即冬季小而夏季大、东部地区小而西部地区大; 同时还发现ERA-40和NCEP/NCAR再分析产品在20世纪70年代以前均与观测资料有相对较大的差别, 特别是NCEP/NCAR在70年代以前的夏季气压值过于偏低, 从而夸大了很多地区的年代际变化特征。相比而言, ERA-40地表气压的长期变化趋势以及时空演变规律在中国大多数地区要优于NCEP/NCAR再分析产品, 特别是在中国西部地区。分析还表明, NCEP/DOE虽与观测资料存在一定的系统性偏差, 却与另外两种再分析产品有着较为相似的年际变化特征及趋势。     

中国探空观测与多套再分析资料气温序列的对比研究

为比较中国探空观测与再分析气温的差异,利用中国118站850—30 hPa经质量控制和均一化处理后逐月气温和NCEPv1、NCEPv2、ERA-40、ERA-Interim、JRA55、20CR、MERRA和CFSR等8套再分析月平均气温,通过对比1981—2010年探空观测与多套再分析气温序列的平均偏差、相关系数、标准差和变化趋势,分析两者在数值、年际变率、离散度及长期变化的差异。结果表明,中国探空温度原始序列存在较为显著的非均一性,均一化对原始气温序列总体为负订正,对流层上层至平流层下层(200—100 hPa)订正值最为显著。均一化气温去除了原始序列中由仪器换型和系统升级等因素导致的系统误差,与再分析气温相关较原始序列明显提高。再分析气温与均一化气温偏差约1℃,多数再分析气温较均一化气温在对流层偏低、平流层偏高。再分析与均一化气温年际变率较为一致,正相关达到显著。多数再分析与均一化气温均在对流层中低层呈上升趋势、平流层中层呈下降趋势。对流层上层和平流层下层不确定性较大。总体上,ERA-Interim、JRA55和MERRA与其他再分析相比更相近中国均一化探空气温。      

The Antarctic oscillation-East Asian summer monsoon connections in NCEP-1 and ERA-40

Connections between the spring Antarctic Oscillation(AAO)and the East Asian summer monsoon (EASM)in two reanalysis datasets—NCEP-1(NCEP/NCAR Reanalysis 1)and ERA-40(ECMWF 40- year Reanalysis)—are investigated in this study.Both show significant correlation between AAO and EASM rainfall over the Yangtze River valley,especially after about 1985.Though ERA-40 shows weaker anomalous signals connecting AAO and EASM over southern high latitudes than NCEP-1,both datasets reveal similar connecting patterns between ...     

Evaluation of the twentieth century reanalysis dataset in describing East Asian winter monsoon variability

The Twentieth Century Reanalysis （20thCR） dataset released in 2010 covers the period 1871-2010 and is one of the longest reanalysis datasets available worldwide. Using ERA-40, ERA-Interim and NCEP-NCAR reanalysis data, as well as HadSLP2 data and meteorological temperature records over eastern China, the performances of 20thCR in reproducing the spatial patterns and temporal variability of the East Asian winter monsoon （EAWM） are examined. Results indicate that 20thCR data： （1） can accurately reproduce the most typical configuration patterns of all sub-factors differences in the main circulation fields over East Asia involved in the EAWM system, albeit with some in comparison to ERA-40 reanalysis data; （2） is reliable and stable in describing the temporal variability of EAWM since the 1930s; and （3） can describe the high-frequency variability of EAWM better than the low-frequency fluctuations, especially in the early period. In conclusion, caution should be taken when using 20thCR data to study interdecadal variabilities or long-term trends of the EAWM, especially prior to the 1930s.