六盘山区夏秋季大气水汽和液态水特征初步分析

六盘山区是中国典型的农牧交错带和生态脆弱带,也是黄土高原重要的水源涵养地、生态保护区及国家级扶贫开发区。利用2017年6-11月隆德气象站地基多通道微波辐射计资料,结合同期平凉探空站及隆德地面降水等观测资料,分析了六盘山区夏秋季大气水汽、液态水变化特征。结果表明：六盘山区夏秋季在降水天气背景下,大气水汽含量和液态水含量均较高,分别为无降水天气背景下的1.4倍和7.0倍;降水天气背景下水汽在5000 m以下有明显的增加,且在此高度范围内的水汽密度随高度的递减率比无降水天气背景下明显偏小;各高度层的液态水相比无降水天气背景下均有明显增大,除6月外,主峰值均出现在0℃层高度层以下。六盘山区夏秋季各月中,6-9月。大气水汽含量高值区均出现在正午到傍晚时段,低值区均出现在日出前后;液态水含量在日出前、午后及傍晚分别出现峰值,最明显的峰值出现在午后。对一次对流性降水天气过程分析后发现,降水发生前40 min大气水汽含量和液态水含量出现两次明显的跃增,水汽向上输送不断加强,2500-7500 m高度的相对湿度明显增大。     

系统优化理论在CERES－大豆模式品种参数求解中的应用

根据田间试验资料，采用多维非线性单纯形法搜索求解模式中的品种参数，比较全面地评价了ＣＥＲＥＳ－大豆模式（ＳＯＹＧＲＯＶ５．４１）对我国大豆生长过程及其产量形成的模拟效果。结果表明：（１）若仅考虑某一单项的模拟效果，如发育期或收获产量等，而不涉及其余项目，则可以调整有关参数得到相当满意的模拟结果；若考虑所有模拟输出项的模拟效果，则其精度明显下降，相对误差在１０％～６０％之间。（２）对于某些生长过程，如叶面积指数动态和地上部分于物重的增重过程等，用ＣＥＲＥＳ大豆模式模拟得到的时间趋势与实例资料有较大差别；而对籽粒增重的模拟效果较好。     

南极洲低层两种位势高度再分析资料的比较

比较NCEP/NCAR和ECMWF两种再分析资料南半球低层等压面(700 hPa及以下)的平均位势高度场,结果表明:两者在南极洲差异显著,除12月、1月(南半球夏季)外,NCEP/NCAR资料存在一个虚假的很强的极地高压,而ECMWF资料正常。分析表明该两种再分析资料的上述差异来源于南极洲地面以下虚拟气压场的产生过程;NCEP/NCAR资料较ECMWF少了一个对南极洲过低地面温度的修正。由此得到的NCEP/NCAR资料若用于南半球低层大气环流整体结构的分析,会导致严重的错误。     

西北太平洋热带气旋源地变化特征及与局地海表温度的关系

为提高热带气旋的短期气候预测水平,利用1950-2005年西北太平洋热带气旋(TC)和表层水温(SST)资料,分析了西北太平洋TC生成位置分布的一般气候特征,季节、年际变化特征及其与局地SST之间的关系,同时还探讨了TC强度、路径与TC生成位置之间的关系.结果表明,西北太平洋存在4个TC高频源地,分别是南海中北部偏东洋面、菲律宾以东附近洋面、关岛附近洋面和马绍尔群岛附近洋面,其中关岛附近洋面TC发生数最多,是TC发生的一个主要源地.TC生成位置分布存在显著的季节和年际变化特征,这种变化与局地SST存在密切的关系,局地SST升高,TC生成位置偏西、偏北,反之,则偏东、偏南.同时发现,TC生成位置西北边界与月平均SST的27.5℃等温线具有较好的匹配关系,绝大多数TC都发生在月平均SST≥27.5℃的海区.TC强度、路径与TC生成位置之间存在一定的关系.TC生成位置偏东偏南,其发展强度相对较强,路径偏东偏南,可导致影响我国南部海区和日本东部沿海的TC个数增加;TC生成位置偏西偏北,其发展强度相对较弱,路径偏西北,可导致影响我国东部和北部沿海的TC个数增加.     

成都地区中长期天气预报系统简介

介绍成都地区中长期天气预报系统界面的设置、系 统所运用的 六种中长期预报方法的编程要点。六种方法包括；周期分析，利用正交变换二次判别方法 ，多元回归方程，相关，相似与阴阳历叠加。     

An Atlantic influence on Amazon rainfall

Rainfall variability over the Amazon basin has often been linked to variations in Pacific sea surface temperature (SST), and in particular, to the El Niño/Southern Oscillation (ENSO). However, only a fraction of Amazon rainfall variability can be explained by ENSO. Building upon the recent work of Zeng (Environ Res Lett 3:014002, 2008), here we provide further evidence for an influence on Amazon rainfall from the tropical Atlantic Ocean. The strength of the North Atlantic influence is found to be comparable to the better-known Pacific ENSO connection. The tropical South Atlantic Ocean also shows some influence during the wet-to-dry season transition period. The Atlantic influence is through changes in the north-south divergent circulation and the movement of the ITCZ following warm SST. Therefore, it is strongest in the southern part of the Amazon basin during the Amazon’s dry season (July–October). In contrast, the ENSO related teleconnection is through anomalous east-west Walker circulation with largely concentrated in the eastern (lower) Amazon. This ENSO connection is seasonally locked to boreal winter. A complication due to the influence of ENSO on Atlantic SST causes an apparent North Atlantic SST lag of Amazon rainfall. Removing ENSO from North Atlantic SST via linear regression resolves this causality problem in that the residual Atlantic variability correlates well and is in phase with the Amazon rainfall. A strong Atlantic influence during boreal summer and autumn is particularly significant in terms of the impact on the hydro-ecosystem which is most vulnerable during the dry season, as highlighted by the severe 2005 Amazon drought. Such findings have implications for both seasonal-interannual climate prediction and understanding the longer-term changes of the Amazon rainforest.     

Earth System Model FGOALS-s2: Coupling a dynamic global vegetation and terrestrial carbon model with the physical climate system model

Earth System Models （ESMs） are fundamental tools for understanding climate-carbon feedback. An ESM version of the Flexible Global Ocean-Atmosphere-Land System model （FGOALS） was recently developed within the IPCC AR5 Coupled Model Intercomparison Project Phase 5 （CMIP5） modeling framework, and we describe the development of this model through the coupling of a dynamic global vegetation and terrestrial carbon model with FGOALS-s2. The performance of the coupled model is evaluated as follows. The simulated global total terrestrial gross primary production （GPP） is 124.4 PgC yr-I and net pri- mary production （NPP） is 50.9 PgC yr-1. The entire terrestrial carbon pools contain about 2009.9 PgC, comprising 628.2 PgC and 1381.6 PgC in vegetation and soil pools, respectively. Spatially, in the tropics, the seasonal cycle of NPP and net ecosystem production （NEP） exhibits a dipole mode across the equator due to migration of the monsoon rainbelt, while the seasonal cycle is not so significant in Leaf Area Index （LAI）. In the subtropics, especially in the East Asian monsoon region, the seasonal cycle is obvious due to changes in temperature and precipitation from boreal winter to summer. Vegetation productivity in the northern mid-high latitudes is too low, possibly due to low soil moisture there. On the interannual timescale, the terrestrial ecosystem shows a strong response to ENSO. The model- simulated Nifio3.4 index and total terrestrial NEP are both characterized by a broad spectral peak in the range of 2-7 years. Further analysis indicates their correlation coefficient reaches -0.7 when NEP lags the Nifio3.4 index for about 1-2 months.     

1955-2005年中国极端气温的变化

利用1955-2005年中国234站逐日最高、最低气温资料,通过计算趋势系数等,研究了中国年、季极端气温变化趋势的时空特征。结果表明：空间分布上,我国年和四季的极端低温均表现出稳定的增温趋势;年、春季和夏季极端高温在黄河下游地区出现了较明显的降温趋势,而在华南地区增温趋势较显著;时间演变上,无论年还是四季,极端低温的增温幅度明显大于极端高温的增幅;极端气温在四季均有增温趋势,尤其以冬季的升温最明显;年极端高温和低温的年代际变化基本一致。     

“分型配料法”在湖北省暴雨预报中的应用研究

通过对“配料法”的学习,认为“配料”不仅仅是诊断因子的组合,还应是预报员主观经验与客观数值产品的有机结合,由此提出了“先分型后配料”的思想,称之为“分型配料法”。由此提出了“先分型后配料”的办法,称之为“分型配料法”。在此研究的基础上,根据湖北省梅雨期和盛夏期的天气型特点,分别制定了不同的暴雨预报配料方案,并通过个例进行具体阐述。结果表明,基于上述研究的“分型配料法”能够较好地做出暴雨落区预报,在汛期气象服务中发挥了积极的指导作用。      

FY-1C可见光通道衰减分析及订正试验

利用FY-1C连续两年的遥感资料，以敦煌辐射校正场为分析区，系统分析了FY-1C可见光、近红外通道的衰减特征，开展了通道衰减订正试验。分析结果表明，FY-1C除可见光通道1衰减强烈外，其它各可见光、近红外通道衰减性能稳定。利用统计分析法，可以建立定标系数衰减订正量随时间的变化关系。订正后的定标系数与2000年辐射校正场外定标实验结果一致性很好。更新后的定标系数可以有效克服通道衰减带来的通道反射率测值误差，提高FY-1C可见光、近红外通道遥感资料定量应用的精度。