耦合模式长期积分资料所揭示的华南春季降水及环流特征的年际变化

利用一个全球海洋-大气-海冰耦合模式的300年控制试验资料,针对东亚区域雨带移动和大气环流特征演变的研究发现,华南春季降水是位于副热带的雨带的一部分,而且华南地区4、5月的降水异常具有明显的年际变化特征。在华南4、5月降水偏多年份,前期3月阿留申低压加强,北半球西风减弱,西太平洋海表温度出现负异常,导致冷暖空气在这里相遇造成降水异常。     

2008年初地面观测数据资料审核的异常分析及处理

结合2008年1~2月地面气象观测A文件数据的审核情况,针对台站气压突跳的反常记录,通过理论分析,判断是因天气现象变化所致,同时对特殊天气现象如固态降水、积雪的观测记录,提出处理方法。     

Post-depositional modification of NO-3 in snow layers at EastAntarctica and at the headwater of ürumqi River

Acidic species, such as Nitrate, in polar snow and firn layers are “reversibly” deposited, and are sufficiently volatile to undergo significant postdepositional exchange between snow/firn and the atmosphere. Through comparison of the snowpit and snowpack nitrate concentrations from central East Antarctica and the headwater of ürumqi River, we conclude that the nitrate peaks in the uppermost surface snow layers in central Antarctica are not related to an atmospheric signal and must account for post-depositional effects. Such effects, however, are not found in the surface snowpack nitrate profiles from the headwater of ürumqi River. Two reasons may account for the post-depositional difference. At first, nitrate in the polar snow and firn layers appears to be hydrated ion, which can be taken up by the atmosphere, while at the headwater of ürumqi River it seems mainly as mineral ion, which assembles the behavior of aerosol-derived species that are “irreversibly” deposited and do not undergo significant post-depositional exchange with the atmosphere. Secondly, the chemical features of the snow and ice on the Antarctica are mainly determined by wet deposition, to the contrary, dry deposition is more significant at the headwater of lUrumqi River than that on the East Antarctic Plateau.     

Mechanism on bipolar distribution of Permian brachiopods

By reasearch on geographic distribution, nine genera in bipolar distribution are selected from Permian brachiopods. These taxa originated from middle-high latitude areas in the boreal realm, of which five genera were derived from Late Carboniferous, and other four genera originated from Permian. They were all in bipolar distribution during some different stages in Permian. Specific diversity for each genus was high in the boreal realm, whereas in the Gondwana realm was very low. Perdurability was long in the boreal realm, and short in the Gondwana realm. It was the time when these nine genera came to their maximum diversity that these genera appeared in the Gondwana and formed bipolar distribution; while they also migrated to the low latitude from high latitude. This shows very close relationship between several main cooling events in Permian and the migration of genera from the boreal realm to the Gondwana realm through the Tethys. Therefore, the cooling events might be the main drive which caused these cold-water-type brachiopods migrated to the Gondwana realm and being bipolar distribution. In this process, the planula tolerance to warm water would be another important factor.     

回归分析中内外符合精度指标研究

为了改正目前用于评定回归分析模型的内、外符合精度指标存在的缺陷,提出利用误差理论,依据回归分析中建模数据的模型残差和检验数据的模型残差,分别推导出计算观测值单位权方差真值之无偏估计值的公式,并将其分别定义为模型内、外符合精度检验的指标,且认为这两个指标具有可比性,可以代替当前所用的内、外符合精度指标推广使用。     

利用海洋温度剖面与海表盐度反演盐度剖面方法研究

为解决海洋中大量观测数据只含有温度剖面而缺乏盐度观测的问题, 基于历史观测的温盐剖面资料, 考虑到盐度卫星数据的发展, 采用回归分析方法, 在孟加拉湾建立了盐度与温度、经纬度、表层盐度的关系, 并对不同反演方法的反演结果进行检验评估。结果发现, 在不引入海表盐度(sea surface salinity, SSS)时, 最佳反演模型是温度、温度的二次项与经纬度确定的回归模型, 而SSS的引入则可以进一步优化反演结果。将反演结果与观测结果进行对比, 显示用反演的盐度剖面计算的比容海面高度误差超过2cm, 而引入SSS后的误差低于1.5cm。SSS的引入能够较为真实地反映海洋盐度场的垂直结构和内部变化特征, 既能够捕捉到对上混合层有重要影响的SSS信号, 又能够反映盐度在跃层上的季节内变化以及盐度障碍层的季节变化。水团分析显示, 与气候态相比, 盐度反演结果可以更好地表征海洋上层水团的变化特征。     

广州市CORS系统的精度分析和应用

采用虚拟参考站技术,结合应用广州市似大地水准面精化成果;对系统进行了精度分析,并以实例说明该系统实现了实时三维城市定位的功能。     

云南澜沧老厂银铜铅锌矿床地质特征及成因研究

云南澜沧老厂银铜铅锌多金属矿床为我国西南三江地区著名的多金属矿床,对该矿床的成矿地质背景、矿床地质特征、围岩蚀变特征以及矿床分带特征进行了详细的论述,对众说纷纭的矿床成因进行了总结。     

山东中部典型冰川岩溶的发现及气候意义

冰川岩溶为冰川融水对于下伏灰岩地层侵蚀形成的岩溶地貌,具有重要的气候意义,国内少有深入的研究.在山东费县小泉庄一带灰岩面上发现河曲状岩溶槽与冰臼一起构成的岩溶系统.对岩溶通道水流路径进行恢复,发现岩溶通道水流起源于前端的冰臼,根据岩溶通道的叠加关系恢复了通道形成的先后次序,进一步发现了冰臼具有位移特征,位移量的大小显示...     

2018年安徽无为ML4.1地震地下流体前兆异常特征

对2018年4月6日无为ML4.1地震前的地下流体前兆异常特征以及该地震的震源机制解进行了分析,结果表明,无为地震前的异常分布在距震中64～233 km范围内,这些异常在时间进程上,可分为中期趋势背景异常和短临异常,主要以中期趋势背景异常为主.这些中期趋势背景异常均表现为水位的破年变变化.从空间演化上看,2018年安徽...