全球不同纬度带平均有效位能的季节急变

利用1980～1988年ECMWF的资料,计算了对流层500 hPa、300 hPa和平流层100 hPa逐日和月平均的纬向平均有效位能（PZ）,分析其季节过渡,比较不同纬度带的季节性急变。结果表明,在4月和10月附近,各纬度带上均可出现PZ的急变。而且用逐日资料还可分析出6月急变。在北半球对流层高层（100 hPa）PZ的季节性急变不如低层（500 hPa）明显,而在南半球PZ的季节性急变与北半球相反,高层比低层明显。     

中国北方苹果种植需水特征及降水适宜性

以中国北方7个苹果主产省为研究区域,基于研究区域及周边100 m范围内210个气象站1970—2019年逐日气象数据和1 km分辨率的数字高程数据,采用最小湿度法对作物系数（Kc）进行逐日估算,并利用基于样条函数插值理论的专业气象插值软件ANUSPLIN对逐日气象数据进行空间插值,计算苹果各关键生育期需水量和降水适宜度。结合苹果优势主产区地理分布确定降水适宜度阈值范围。利用相关数理统计方法明确苹果需水特征和降水适宜度时空变化特征,并对苹果全生育期降水适宜性进行评价。结果表明：苹果全年平均需水量大多数区域为500.0~800.0 mm,萌芽-幼果期、果实膨大期和着色-成熟期平均需水量占全年平均需水量的比率分别为0.186~0.282,0.392~0.562和0.159~0.282。苹果全年、萌芽-幼果期、果实膨大期和着色-成熟期降水适宜度阈值范围分别为0.49~2.07,0.25~1.70,0.54~2.25和0.46~2.65。各生育阶段降水适宜度处在阈值范围内的区域分别占85.4%,87.4%,85.6%和84.9%。苹果全生育期降水的最适宜、次适宜和不适宜区分别占研究区域的31.9%,50.6%和17.5%。     

基于GIS的秦岭山地气温空间分布

提出一种以气象站点观测资料为基础,用G IS技术建立山地平均气温分布模型的方法。通过数字高程模型(DEM),获取地形数据,建立山地天文辐射模型。考虑海拔高度、地形等影响气温空间分布因子,建立山地气温分布模型。     

起伏地形下重庆市水汽压的空间分布

利用重庆市1∶25万电子地图和100m×100m分辨率的DEM资料,建立了基于常规气象观测资料的实际起伏地形下重庆市水汽压空间分布模型,计算了重庆市各月月平均和年平均水汽压的空间分布,并完成其制图同时详细分析了重庆市实际地形下水汽压的空间分布。分析表明:随着海拔高度的增加,水汽压逐渐减小;各月水汽压的最小值出现在东北山区;重庆市水汽压的季节变化很明显。     

南平市气象局视频会商系统建设

南平市气象局基于政务网的可视化视频会商系统,将不同型号的省—地和地—县间视频会商系统级联在一起,把省—市会商面向辖区内县市局实时转发,降低会商系统的成本。通过此系统,地区气象台可以与省气象台及下属台站预报员及时的进行充分的天气预报交流,举办电视电话会议和业务培训等。     

宁夏冬季负积温变化特征

对宁夏20个测站1961—2004年的冬季负积温EOF分析表明,冬季的冷趋势具有明显的大尺度特征,在近40 a逐渐变暖。据累积距平显示,l986年出现了突变,之前,冬季气温偏低,具体表现为冷冬年全部分布在此时段,之后偏暖,90年代以后出现暖冬的频次明显增加。≤0℃持续日数具有明显的年代际变化,2001—2004年比60年代平均减少了13.5 d。在80%保证率下,全区≤0℃持续日数和负积温依地势自北向南增多,引黄灌区最少,中部干旱带次之,南部黄土丘陵区相对最多。     

Four-dimensional data assimilation method based on SVD: Theoretical aspect

Summary A new method of four-dimensional data assimilation based on Singular Value Decomposition (SVD) is proposed. In it, a set of atmospheric states is obtained by integrating a numerical weather prediction model and simulated observations are taken and calculated from the model variables. Then the SVD technique is used to create the base vectors from this coupled data set. Finally, the analysis is obtained by projecting actual observation data into a space spanned by the base vectors. Using this approach, the four-dimensional data assimilation becomes a simple linear inverse problem the linearization of the nonlinear forward model is avoided, and the developments of the adjoint and background error covariance matrix are no longer needed. Since the SVD technique is used here, the method is simply called 4DSVD.     

Observed response of marine boundary layer cloud to the interannual variations of summertime Oyashio extension SST front

Active roles of both sea surface temperature (SST) and its frontal characteristics to the atmosphere in the mid-latitudes have been investigated around the western boundary current regions, and most studies have focused on winter season. The present study investigated the influence of the variation of the summertime Oyashio extension SST front (SSTF) in modulating low-level cloud properties (i.e., low-level cloud cover [LCC], cloud optical thickness [COT], and shortwave cloud radiative effect [SWCRE]) on inter-annual timescales, based on available satellite and Argo float datasets during 2003–2016. First, we examined the mechanism of summertime SSTF variability itself. The strength of the SSTF (S_SSTF), defined as the maximum horizontal gradient of SST, has clear inter-annual variations. Frontogenesis equation analysis and regression analysis for subsurface temperature indicated that the inter-annual variations of the summertime S_SSTF in the western North Pacific are closely related to the variations of not surface heat flux, but western boundary currents, particularly the Oyashio Extensions. The response of low-level cloud to intensified S_SSTF is that negative SWCRE with positive COT anomaly in the northern flank of the SSTF can be induced by cold SST anomalies. The spatial scale of the low-level cloud response was larger than the SST frontal scale, and the spatial distribution of the response was mainly constrained by the pathways of Kuroshio and Oyashio Extensions. Multi-linear regression analysis revealed that the local SST anomaly played largest role in modulating the SWCRE and COT anomalies among the cloud controlling factors (e.g., estimated inversion strength, air-temperature advection) accounting for more than 50% of the variation. This study provides an observational evidence of the active role of local SST anomalies in summertime associated with the western boundary currents to the oceanic low-level cloud.

     

用数据模拟方法分析探空仪慢转对高空气象探测记录结果的影响

本文提出了一种用数据模拟的方法,分析因探空仪慢转对高空气象探测记录造成影响的情况,并结合了一次实际探空记录进行了分析论证,得出在实践中用五九型探空仪,在其转速下低于3转/分时的情况下,所探测到的高空压、温、湿资料与转速保持在5～8转/分的情况下的资料,吻合程度较高.而转速保持在记录整理与否的临界点:2转/分时～500 hPa以上＜2转/分,此时各要素的偏离程度已明显加大,对大气层结特征的反映,已失去指示性.     

估算地表热通量和近地层土壤含水量的变分方法

提出一种反演地表感热通量、潜热通量和近地层土壤含水量的变分方法,该方法把不同高度上的风速、位温以及湿度梯度的观测资料与Monin-Obukhov相似理论计算值的偏差、土壤水分蒸发参数化方案估算的蒸发潜热与由相似理论导出值的偏差在地表能量平衡的约束下融合到一个目标泛函数中,采用最优化算法寻求问题的解.利用2001年6月中国暴雨试验与研究项目在安徽肥西观测资料进行了数值验证,结果表明该方法估算的通量值与Bowen比法具有很好的相关性且又能克服当Bowen比等于-1时计算通量出现的不稳定;同时能克服用廓线法求解热通量与地表能量平衡条件有较大出入的缺点.对观测误差的敏感性试验也表明变分方法是3类方法中最稳定的.反演的近地层土壤含水量对降水具有很好的响应并与观测的0-15 cm深度上平均土壤湿度的变化趋势具有很好的一致性,其绝对偏差小于0.03 m3/m3.