Evaluation of the Madden–Julian oscillation in HiRAM

The aim of this study was to understand the cause of Madden–Julian oscillation (MJO) bias in the High Resolution Atmospheric Model (HiRAM) driven by observed SST through process-oriented diagnosis. Wavenumber-frequency power spectrum and composite analyses indicate that HiRAM underestimates the spectral amplitude over the MJO band and mainly produces non-propagating rather than eastward-propagating intraseasonal rainfall anomalies, as observed. Column-integrated moist static energy (MSE) budget analysis is conducted to understand the MJO propagation bias in the simulation. It is found that the bias is due to the lack of a zonally asymmetric distribution of the MSE tendency anomaly in respect to the MJO convective center, which is mainly attributable to the bias in vertical MSE advection and surface turbulent flux. Further analysis suggests that it is the unrealistic simulation of MJO vertical circulation anomalies in the upper troposphere as well as overestimation of the Rossby wave response that results in the bias.摘要本研究评估了高分辨率大气环流模式HiRAM模拟的MJO. 结果表明, HiRAM模拟的MJO东传很弱. 我们通过计算整层积分的湿静力能 (MSE) 收支来诊断MJO东传模拟偏差的原因. 结果发现, MSE倾向相对于MJO对流中心的纬向非对称分布很弱是导致东传模拟偏弱的原因, 这主要是由MSE垂直平流和地表湍流通量的模拟偏差造成的. 进一步研究表明, 对流层上层MJO垂直环流结构的模拟偏差和MJO对流西侧的Rossby波环流偏强共同导致了模式的偏差. 本研究中指出的MJO传播模拟偏差的原因与之前基于多模式结果的结论不同, 这意味着要想了解特定模式的模拟偏差, 有必要对该模式进行具体分析.     

大口黑鲈(Micropterus salmoides)致病性维氏气单胞菌的分离鉴定及其特性分析

大口黑鲈(Micropterus salmoides)是我国重要的淡水养殖经济鱼类品种,目前包括细菌性疾病在内的诸多因素影响了其养殖业的健康发展。维氏气单胞菌是引起淡水鱼败血症和溃疡综合征的重要病原菌。从患病大口黑鲈肝脏组织中分离到1株病原菌,通过形态学观察、生理生化特性分析、16S rRNA序列和特定毒力基因分析对其进行鉴定,并通过人工回归感染试验和药敏试验分析其致病性和耐药性。结果表明该菌为致病性维氏气单胞菌(Aeromonas veronii),含有aer、act、lip、fla、gcaT和OMPA I等毒力基因;药敏试验显示其对头孢曲松、氯霉素、氟苯尼考、强力霉素、四环素、多粘菌素、复方新诺明、左氟沙星等8种抗生素高度敏感,对新霉素、恩诺沙星、庆大霉素、链霉素、阿齐霉素、环丙沙星等6种抗生素中度敏感,对其他8种抗生素具有一定耐药性;人工回归感染实验表明该菌具有较高的致病性,对大口黑鲈的半致死浓度为1.4×10⁶ CFU/mL。维氏气单胞菌是水产养殖中的条件性致病菌,研究结果揭示了该菌株的部分生物学特性,有利于丰富维氏气单胞菌属的基础数据,同时也为鲈鱼养殖过程中的病害防控提供了一定的参考依据。     

Estimation of hourly and daily evapotranspiration and soil moisture using downscaled LST over various urban surfaces

Surface moisture is important to link land surface temperature (LST) to people’s thermal comfort. In urban areas, the surface roughness from buildings and urban trees impacts wind speed, and consequently surface moisture. To find the role of surface roughness in surface moisture estimation, we developed methods to estimate daily and hourly evapotranspiration (ET) and soil moisture, based on a case study of Indianapolis, Indiana, USA. In order to capture the spatial and temporal variations of LST, hourly and daily LST was produced by downscaling techniques. Given the heterogeneity in urban areas, fractions of vegetation, soil, and impervious surfaces were calculated. To describe the urban morphology, surface roughness parameters were calculated from digital elevation model (DEM), digital surface model (DSM), and Terrestrial Light Detection and Ranging (LiDAR). Two source energy balance (TSEB) model was employed to generate ET, and the temperature vegetation index (TVX) method was used to calculate soil moisture. Stable hourly soil moisture fluctuated from 15% to 20%, and daily soil moisture increased due to precipitation and decreased due to seasonal temperature change. ET over soil, vegetation, and impervious surface in the urban areas yielded different patterns in response to precipitation. The surface roughness from high-rise has bigger influence on ET in central urban areas.     

中国东部农耕区土壤微生物碳的分布及影响因素

对中国东部不同纬度带的6个地区的土壤微生物碳进行了研究。结果表明土壤微生物碳的分布受地理位置的影响较为明显:由北向南,东北地区的土壤微生物碳要高于其他地区。作为土壤有机质变化的灵敏度指标———微生物熵(微生物碳/总有机碳),在同一耕作方式下,其在不同地区的变化受土壤利用方式的影响较为明显:在连作系统下,菜地>粮地;而在轮作系统下,粮食-蔬菜轮作>蔬菜-蔬菜轮作。利用相关性分析寻求影响微生物碳分布的环境因素,结果表明,微生物碳(Micro-C)与土壤有机碳(TOC)、全氮(TN)、土壤含水率呈极显著正相关,而有机碳和全氮的分布主要受地理位置的影响。对不同土壤类型的微生物碳和微生物熵进行相关性分析,结果显示pH、年均温、含水率、TOC和TN是主要影响因素,关键影响因素因土壤类型不同而各异。     

基于节水视角的中国水资源压力时空演变及影响因素分析

基于水资源节约视角,采用区域水资源规划消耗量占该地区水资源可利用量的比重来测算水资源压力指数,运用趋势分析、探索性数据分析(ESDA)方法对2005-2017年中国31个省市水资源压力指数空间格局演化特征与空间相关性进行分析,并选取8个相关变量,采用地理探测器探究影响水资源压力指数空间分异的因素,结论如下:①研究期内,...     

H-90B微机γ能谱比活度测量仪

本介绍了H-90B微机γ能谱比活度测量仪的研制方案、仪器组成特点及主要技术指标；简述了仪器的工作原理，工作条件及测量方法；最后，介绍了其在现场检测建筑材料放射性比活度方面的应用情况。     

Spatial distribution and behavior of dissolved selenium speciation in the South China Sea and Malacca Straits during spring inter-monsoon period

Selenium(Se) has been recognized as a key trace element that is associated with growth of primary producers in oceans. During March and May 2018, surface water(67 samples) was collected and measured by HG-ICP-MS to investigate the distribution and behavior of selenite [Se(IV)], selenate [Se(VI)] and dissolved organic selenides(DOSe) concentrations in the Zhujiang River Estuary(ZRE), South China Sea(SCS) and Malacca Straits(MS). It showed that Se(IV)(0.14–3.44 nmol/L) was the dominant chemical species in the ZRE, related to intensive manufacture in the watershed; while the major species shifted to DOSe(0.05–0.79 nmol/L) in the MS, associated with the wide coverage of peatland and intensive agriculture activities in the Malaysian Peninsula. The SCS was identified as the northern and southern sections(NSCS and SSCS) based on the variations of surface circulation.The insignificant variation of Se(IV) in the NSCS and SSCS was obtained in March, potentially resulting from the high chemical activity and related preferential assimilation by phytoplankton communities. Contrastively, the lower DOSe concentrations in the SSCS likely resulted from higher primary production and utilization during March. During May, the concentration of Se(IV) remained low in the NSCS and SSCS, while DOSe concentrations increased notably in the SSCS, likely due to the impact of terrestrial inputs from surface current reversal and subsequent accumulation. On a global scale, DOSe is the dominant Se species in tropical oceans, while Se(IV) and Se(VI) are major fractions in high-latitude oceans, resulting from changes in predominated phytoplankton and related biological assimilation.     

现代大地测量在研究相关地学问题中的作用

本文评述了用现代大地测量技术监测地球动力现象所能达到的时空辨率和准确度论述了大地测量在研究相关地学问题中的作用，回顾了以空间卫星大地测量为标志的现代大地测量近３０年来对地球科学作出的主要贡献及科学意义，并对大地测量未来进一步应用于地学研究的主要领域和研究方向提出了若干建议。     

2021年山东一次罕见区域性“雷打雪”天气成因分析

利用气象观测资料、雷电定位资料、ERA5再分析资料和双偏振雷达资料,分析了2021年11月6—7日发生在山东西北部一次极端“雷打雪”天气过程。结果表明：(1)雷暴和降雪出现在冷锋后部150 km以外,属于冬季冷锋型高架对流。雷电维持时间和出现频数与降雪量有较好的对应关系。(2)环流形势具有下冷上暖的特点,低层为冷锋后的冷层,800 hPa附近为西南暖湿气流形成的暖层。西南低空急流和东北风超低空急流异常强盛,不仅提供了有利于对流产生的充足水汽,也使得深层垂直风切变达到6.7×10^-3 s^-1。(3)“雷打雪”发生前,鲁西北地区上空大气具有对流不稳定,随着冷空气侵入,冷垫逐渐增厚,鲁西北上空锋面附近具有条件对称不稳定,800 hPa中尺度低涡在逆温层之上触发了对流,产生雷电。(4)通过双偏振雷达产品可以看到,雷打雪发生时,站点周围存在明显的2层回波,-10℃层高度(约为600 hPa)冰相粒子浓度较大,可能是雷电机制之一。     

两种导线观测的电线积冰资料的对比分析

应用直径26.8和4 mm两种导线平行观测的电线积冰资料,对比分析两种观测资料中电线积冰直径、厚度、重量和标准厚度的差异,并对不同天气现象和气象条件下两种电线积冰观测资料的差异进行了讨论.结果表明:总体上,2011年1-5月全国大部分台站观测的两种导线电线积冰直径、厚度和标准厚度值差异不明显,重量差异较明显,且差值较大的站点主要分布在长江以南地区;分析不同天气现象和气象条件下两种观测资料的差异后发现,两种电线积冰直径和厚度值差异在雾凇和混合凇条件下较显著,而重量值差异在雨凇、风力0～3级和气温-5～0℃的条件下时相对最大.