1-（4-甲基-6-羟基嘧啶）-3-（偶氮苯基）-三氮烯的合成及其与铜的显色反应

合成了显色剂1-(4-甲基-6-羟基嘧啶)-3-(偶氮苯基)-三氮烯(MHPPAT),并研究了它与铜的显色反应。在pH11.0的Na2B4O7-NaOH缓冲溶液中,Triton X-100表面活性剂存在下,试剂与铜生成2∶1的紫红色配合物,其最大吸收峰位于540nm处,表观摩尔吸光系数为2.02×105L·mol-1·cm-1,Cu2+的质量浓度在0~480μg/L符合比尔定律。用拟定方法测定铝合金中微量铜,6次测定的相对标准偏差小于3%,结果满意。     

鄂尔多斯盆地姬塬地区长6油层组物源区分析

物源分析是我们研究沉积体系和岩相古地理格局的前提和基础,在一定程度也是描述微相和砂体展布的总体格局,以及对砂体进行预测和评价的依据。晚三叠世延长期鄂尔多斯盆地周缘存在多个古陆,包括北部的阴山古陆、西北缘的阿拉善古陆、南部的祁连—秦岭古陆及西南的陇西古陆等,它们都是盆地碎屑沉积物的主要供给源。长6沉积期,姬塬地区处于鄂尔多斯盆地偏西部地区,进行物源分析尤其是指出主要物源方向对沉积相及砂体展布规律研究都有重要意义。通过碎屑组分分析、重矿物分析、岩屑组分分析、阴极发光分析、稀土元素分析,以及古盐度恢复等研究方法,发现研究区存在北东方向主要物源区和北西方向次要物源区,同时也存在西南方向的物源供给。     

Hypocenter migration of fluid-induced earthquake swarms in the Tjörnes Fracture Zone (North Iceland)

The Tjörnes Fracture Zone separates Iceland's North Volcanic Zone from Kolbeinsey-Ridge (Greenland-Sea). Seismicity mainly occurs in swarms, often 100 and more per day, with similar waveforms and frequently offshore.We analysed three earthquake swarms between June and September 2004, recorded by 35 stations, i.e. the permanent Icelandic SIL network and a temporary setup of land and ocean-bottom-seismometers, and 5 swarms of the years 1994-1997 only using the sparser SIL network. Events occurring in the same swarm often show similar waveforms at the same station. We cross-correlated these time series by using a new approach of three component cross-correlation in order to relocate the hypocenters relative within the swarms and to precisely determine the direction and velocity of migration. Our method delivered good relocations with small spatial and temporal errors. This allows the interpretation and characterisation of the observed earthquake swarms. We try to classify observed migration velocities by comparing them to typical fluid- and crack-propagation velocities and determine focal-mechanisms and orientation of the best fitting plane through the hypocenter distribution.We separate the investigated events into two types of earthquake swarms, supposedly dike-induced and hydrothermally- or gas-induced swarms, by pointing out typical characteristics of both types and by comparing them to similar events of other volcanic regions. Based on different migration velocities, we will discuss possible mechanisms and their triggers of all single clusters within a swarm. Hypothetic models will be established, trying to explain the processes during the swarm episodes and to derive possible pre-eruptive patterns from the character of seismicity.     

鄂尔多斯盆地耿湾地区长6段古盐度恢复与古环境分析

应用B,sr,Rb,Sr/Ba比值,Rb/K比值和K Na质量分数等微量元素地球化学方法并结合粘土矿物X衍射分析对鄂尔多斯盆地耿湾地区长6古盐度进行综合判别,认为长6期古水介质盐度为O.48‰～4.43‰,平均值为1.87‰,属于淡水-微咸水环境,局部为半咸水环境,且自长63沉积期至长61沉积期湖盆水体是逐渐变成的;微成化的湖水介质和封闭还原的深水环境既有利于优质烃源岩的发育,又能促使砂体早期环边绿泥石胶结形成抗压实-压溶组构,有利于原生粒间孔的保存而对储层发育非常有利;根据长6古盐度定量计算确定O.5‰古盐度等值线是淡水河流发育区与微成水湖盆分界的古湖岸线位置,并划分出淡水、微成水和半成水3个古盐度平面分区,为预测岩性地层油藏有利发育区带提供了重要依据.     

The Regularized WSM6 Microphysical Scheme and Its Validation in WRF 4D-Var

A cold cloud assimilation scheme was developed that fully considers the water substances, i.e., water vapor, cloud water, rain, ice, snow, and graupel, based on the single-moment WSM6 microphysical scheme and four-dimensional variational(4D-Var) data assimilation in the Weather Research and Forecasting data assimilation(WRFDA) system. The verification of the regularized WSM6 and its tangent linearity model(TLM) and adjoint mode model(ADM) was proven successful. Two groups of single observation a...     

On the long-term memory characteristic in land surface air temperatures: How well do CMIP6 models perform?

Stemming from the multi-scale interactions of various processes, long-term memory (LTM) has become a well-recognized property in the climate system. Whether a dynamic model can reproduce the observed LTM is a widely used criterion for model evaluation, especially regarding its ability in simulating natural variabilities. While many works have shown poor model skill in simulating the LTM of land surface air temperature (LSAT), it is not yet known whether CMIP6 models offer any improvement. In this study, the performances of 60 CMIP6 models in simulating the LTM characteristics in LSAT were evaluated. Results showed that most models reproduced the LTM in the global-mean LSAT, among which AWI-ESM-1-1-LR and E3SM-1-0 performed best. All 60 models reproduced the variation in LTM with latitude. CNRM-CM6-1 and HadGEM3-GC31-LL performed best in simulating the LTM of LSAT at the global scale. The multi-model mean (MMM) performed better than any single model. The biases of the MMM and CRUTEM5, and among the 60 models, were significant in the equatorial and coastal regions, which may be attributable to the simulation differences of the models in terms of their ocean–atmosphere coupling processes.摘要利用去趋势涨落分析 (DFA) 方法计算序列的长程记忆性 (LTM) , 以CRUTEM5数据集的结果作为观测参照, 评估了60个参与第六次国际耦合模式比较计划 (CMIP6) 的气候模式对地表气温LTM的再现能力. 结果表明: 大部分模式可以再现全球平均地表气温序列的LTM特征, 其中AWI-ESM-1-1-LR和E3SM-1-0的模拟效果最好; 60个模式均能模拟LTM随纬度带的变化; 综合来说, 全球水平上CNRM-CM6-1和HadGEM3-GC31-LL对地表气温LTM的模拟性能最好; 多模式平均相比单一模式模拟性能更好; 多模式平均与观测结果的偏差以及模式之间的模拟差异显著体现在赤道和沿海区域, 这种偏差可能源于模式对海气耦合过程的模拟差异.     

东北地区气候变化CMIP5模式预估

利用CMIP5的多模式集合资料,从时间变化和空间分布两方面分析了不同情景下(RCP2.6、RCP4.5、RCP8.5)中国东北地区未来100年的气候变化。结果显示:3种排放情景下,21世纪东北地区气温和降水呈显著增长趋势,中期和末期增幅较明显,冬季增幅高于其他季节,RCP8.5情景下气温增暖最为显著,RCP4.5次之,RCP2.6最小,随着年代的推移,气温和降水年较差逐渐减小;空间分布显示:3种排放情景下各个时期的增温分布形式基本一致,由南向北逐渐增大,辽宁南部增温幅度最小,最显著地区位于黑龙江大兴安岭;不同情景下气温变化率的分布形势略有不同,但均呈显著增温趋势;3种排放情景下降水距平百分率均为增加趋势,呈由东向西逐渐增大的经向分布特征;不同情景下的降水变化率分布形势相似,呈南大北小特征,辽宁地区增长最为明显,黑龙江西部地区增长相对较小。     

CMIP5模式对未来30a新疆夏季降水的预估

选用参与气候变化政府间合作委员会(IPCC)第5次评估报告的25个气候耦合模式(CMIP5),基于GPCP(Global Precipitation Climatology Project)降水资料,采用多种统计方法,综合评估模式历史试验对1979—2005年新疆夏季降水的模拟能力,优选出模拟性能较好的模式,进而利用其RCP8.5排放路径下的模拟结果来预估未来30 a(2021—2050年)新疆夏季降水的变化。从气候平均场和年际变率来看,25个CMIP5模式的模拟性能差异显著,部分模式可模拟出新疆夏季降水的主要空间分布特征,如伊犁河谷地区的降水中心以及南疆和东疆地区的少雨区。从优选出的9个模式的集合平均结果来看,对南疆西部山区与昆仑山北侧地区降水强度和范围模拟偏强,对年际变率的模拟偏弱,但其降水的空间分布与观测比较一致,可较准确地捕捉到高、低值中心,空间相关性也较好。因此,利用该集合平均结果对未来新疆降水进行预估是可信的。预估结果表明:(1)未来30 a北疆大部分地区和东疆部分地区夏季降水略微减少,伊犁河谷和南疆大部分地区显著增多,且增幅中心出现在南疆西部和昆仑山北侧地区;(2)山区年际变率较其他地区明显,且伊犁河谷、南疆西部和昆仑山北侧地区的年际变率呈现逐渐增大趋势;(3)降水变化与500 hPa环流配置异常密切相关,北疆地区偏南气流加强,表现为反气旋性环流,南疆地区偏东气流加强,表现为气旋性环流,因而导致未来新疆地区夏季降水南增北减。     

Understanding the Surface Temperature Cold Bias in CMIP5 AGCMs over the Tibetan Plateau

The temperature biases of 28 CMIP5 AGCMs are evaluated over the Tibetan Plateau(TP) for the period 1979–2005. The results demonstrate that the majority of CMIP5 models underestimate annual and seasonal mean surface 2-m air temperatures(T_(as)) over the TP. In addition, the ensemble of the 28 AGCMs and half of the individual models underestimate annual mean skin temperatures(T_s) over the TP. The cold biases are larger in T_(as) than in T_s, and are larger over the western TP. By decomposing the T_s bias using the surface energy budget equation, we investigate the contributions to the cold surface temperature bias on the TP from various factors, including the surface albedo-induced bias, surface cloud radiative forcing, clear-sky shortwave radiation, clear-sky downward longwave radiation, surface sensible heat flux, latent heat flux,and heat storage. The results show a suite of physically interlinked processes contributing to the cold surface temperature bias.Strong negative surface albedo-induced bias associated with excessive snow cover and the surface heat fluxes are highly anticorrelated, and the cancelling out of these two terms leads to a relatively weak contribution to the cold bias. Smaller surface turbulent fluxes lead to colder lower-tropospheric temperature and lower water vapor content, which in turn cause negative clear-sky downward longwave radiation and cold bias. The results suggest that improvements in the parameterization of the area of snow cover, as well as the boundary layer, and hence surface turbulent fluxes, may help to reduce the cold bias over the TP in the models.     

局部重力异常向上延拓的实用算法

针对局部重力异常向上延拓计算复杂、耗时长的问题,该文基于泊松积分离散化的基本原理,提出一种快速的局部格网重力异常向上延拓的实用算法;并结合中国东北和青藏高原地区大地水准面的重力异常格网数据,采用该延拓方法分别计算了空中10、50、100km处的重力异常,将其与等高度的EIGEN-6C4模型结果对比分析。实验结果表明:在顾及边界效应影响的情况下,相对于EIGEN-6C4模型,中国东北和青藏高原地区重力异常向上延拓的最大均方根误差分别优于1.5和3.5mGal;在保证精度可用的前提下,计算效率可以有大幅度提高,证明了该方法解算局部重力异常向上延拓的适用性。