Local meteoric water lines describe extratropical precipitation

Stable water isotopes δ¹⁸O and δ²H are used to investigate precipitation trends and storm dynamics to advance knowledge of precipitation patterns in a warming world. Herein, δ¹⁸O and δ²H were used to determine the relationship between extratropical cyclonic precipitation and local meteoric water lines (LMWLs) in the eastern Ohio Valley and the eastern United States. Precipitation volume weighted and unweighted central Ohio LMWLs, created with samples collected during 2012–2018, showed that temperature had the greatest effect on precipitation isotopic composition. HYSPLIT back trajectory modelling showed that precipitation was primarily derived from a mid-continental moisture source. Remnants of major hurricanes were collected as extratropical precipitation during the 2012–2018 sampling period in central Ohio. Extratropical precipitation samples were not significantly different from the samples that created the central Ohio LMWL. Six additional LMWLs were derived from United States Geological Survey (USGS) Atmospheric Integrated Research Monitoring Network (AIRMoN) samples collected in Pennsylvania, Delaware, Tennessee, Vermont, New Hampshire, and Oxford, Ohio. Meteoric water lines describing published samples from Superstorm Sandy, plotted with these AIRMoN LMWLs, showed isotopic composition of Superstorm Sandy precipitation was commonly more depleted than the average isotopic composition at the mid-latitude locations. Meteoric water lines describing the Superstorm Sandy precipitation were not significantly different in slope from LMWLs generated within 300 km of the USGS AIRMoN site. This finding, which was observed across the eastern Ohio Valley and eastern United States, demonstrated a consistent precipitation δ²H–δ¹⁸O relationship for extratropical cyclonic and non-cyclonic events. This work also facilitates the analysis of storm development based on the relationship between extratropical event signature and the LMWL. Analysis of extratropical precipitation in relation to LMWLs along storm tracks allows for stronger development of precipitation models and understanding of which climatic and atmospheric factors determine the isotopic composition of precipitation.     

Inversion, error analysis, and validation of GPS/MET occultation data

The global positioning system meteorology (GPS/MET) experiment was the first practical demonstration of global navigation satellite system (GNSS)-based active limb sounding employing the radio occultation technique. This method measures, as principal observable and with millimetric accuracy, the excess phase path (relative to propagation in vacuum) of GNSS-transmitted radio waves caused by refraction during passage through the Earth’s neutral atmosphere and ionosphere in limb geometry. It shows great potential utility for weather and climate system studies in providing an unique combination of global coverage, high vertical resolution and accuracy, long-term stability, and all-weather capability. We first describe our GPS/MET data processing scheme from excess phases via bending angles to the neutral atmospheric parameters refractivity, density, pressure and temperature. Special emphasis is given to ionospheric correction methodology and the inversion of bending angles to refractivities, where we introduce a matrix inversion technique (instead of the usual integral inversion). The matrix technique is shown to lead to identical results as integral inversion but is more directly extendable to inversion by optimal estimation. The quality of GPS/MET-derived profiles is analyzed with an error estimation analysis employing a Monte Carlo technique. We consider statistical errors together with systematic errors due to upper-boundary initialization of the retrieval by a priori bending angles. Perfect initialization and properly smoothed statistical errors allow for better than 1 K temperature retrieval accuracy up to the stratopause. No initialization and statistical errors yield better than 1 K accuracy up to 30 km but less than 3 K accuracy above 40 km. Given imperfect initialization, biases ≫ 2 K propagate down to below 30 km height in unfavorable realistic cases. Furthermore, results of a statistical validation of GPS/MET profiles through comparison with atmospheric analyses of the European Centre for Medium-range Weather Forecasts (ECMWF) are presented. The comparisons indicate the high utility of the occultation data in that very good agreement of upper troposphere/lower stratosphere temperature (better than 1.5 K rms, ≪ 0.5 K bias) is found for a region (Europe+USA) where the ECMWF analyses are known to be good, but poorer agreement for a region (Southern Pacific) where the analyses are known to be degraded.     

中国冬季气温的集合典型相关分析和预报

以欧亚大陆地面温度、北半球500 hPa高度、热带印度洋SST(sea surface temperature)以及北太平洋SST为预报因子,通过典型相关分析(canonical correlation analysis,简称CCA)建立预报关系,然后用集合典型相关分析预报(ensemble canonical correlation prediction,简称ECC)方法预报中国冬季气温,并分析预报技巧及进行独立样本检验.结果表明,不同的预报因子对各个地区有不同的预报技巧,以欧亚大陆地面温度为预报因子预报技巧较高,而ECC模式对中国冬季气温有更好的预报能力,预报技巧高于任何一个单因子场的CCA预报;采用回归法的集合平均比简单的等权集合平均预报技巧更稳定.     

黄河源区多、少雪年土壤冻融特征分析

利用2011年10月至2017年12月黄河源区鄂陵湖野外观测数据,对比分析多雪年与少雪年土壤冻结与消融时间、土壤温湿度、地表能量分量的变化特征。结果表明:多雪年地表反照率偏高,净辐射偏低,地表感热输送偏低,土壤由热“源”转为热“汇”的时间晚于少雪年。积雪可减少土壤吸收辐射能量,减少地表感热通量,在土壤完全冻结期与消融期增大地表潜热通量,在完全冻结期,减少土壤向大气的热输送,在消融期,减少大气向土壤的热输送。积雪在冻结期有降温作用,使得多雪年土壤较早发生冻结,且同一时期土壤温度偏低;在完全冻结期有保温作用,使得土壤温度偏高;在消融期有保温(“凉”)作用,使得消融较晚,且同一时期土壤温度偏低。在整个积雪年内,多雪年浅层土壤湿度高于少雪年,积雪对浅层土壤有保湿作用。积雪使土壤开始冻结时间有所提前,开始消融的时间有所滞后,可延长该年土壤完全冻结持续天数。     

不同磷浓度下光强、温度对水华鱼腥藻(Anabaena flos-aquae)生长的动力学

水华鱼腥藻是常见的有害水华藻种,但其在磷、光强、温度等生境要素协同作用下的生长动力学鲜见报道.本研究在Lehman模型、Steele模型基础上,设置8个PO3-4-P梯度:0、0.1、0.2、0.5、0.75、1.0、2.5、5.0μmol/L,4个温度水平:15、20、25和30℃和4个光强水平:1000、2000、3000和5000 lx,采取单因素实验方法进行水华鱼腥藻室内纯培养.Monod模型表明水华鱼腥藻最适生长温度和光强条件分别是20℃和3000 lx,最大比生长速率(μmax)和半饱和常数(KS)分别为0.447 d-1和0.081μmol P/L;分别用Lehman模型和Steele模型模拟水华鱼腥藻μmax在不同磷浓度下对连续变化的温度和光强的响应,Lehman动力学模拟结果表明水华鱼腥藻的最适生长温度为21.22±0.98℃,μmax和KS分别为0.421±0.011 d-1和0.055±0.009μmol P/L;Steele模型结果表明μmax和KS分别为0.461±0.010 d-1和0.051±0.009μmol P/L,水华鱼腥藻最适生长光强Ik为2650.93±88.19 lx.     

基础隔震结构健康监测系统的设计与实现(Ⅱ):系统实现

作为保障工程安全和研究结构灾变机理的重要手段,结构健康监测为研究基础隔震技术在实际工程应用中的问题提供了技术保证。基于"基础隔震结构健康监测系统的设计与实现(Ⅰ):系统设计"中的设计方法,研究某超长基础隔震结构健康监测系统的总体设计、传感器选型与测点布设、数据采集与传输方案及数据库结构设计,并对该系统已获取的监测数据进行初步分析。分析结果表明,该基础隔震结构健康监测系统协调运行状态良好,能实现其预期功能。基于性能状态评价指标对该结构状态进行评价,表明该基础隔震结构性能状态良好。     

突发性地面增温与临震前兆——以1988年澜沧、耿马7.6,7.2级地震为例

本文通过较多的地面温度资料分析,认为1988年11月6日澜沧、耿马地震前几天,震区及其周围大范围的突发性地面增温异常是一种临震前兆,总结了增温异常的时空演变规律与地震活动的关系,并对其形成机制提出初步想法     

基于多模式集成冬半年气温预报偏差修正

卡尔曼滤波递减平均方法对模式直接输出的气温预报进行订正,能有效提高预报准确率,但有时会造成显著负订正的现象,使订正预报效果反而不及模式直接输出。利用消除偏差集合平均方法(BREM)选择最优滑动训练期对2019年10月至2020年4月ECMWF预报(EC)、经过卡尔曼滤波递减平均法订正的预报(EC＿COR)及中央台网格指导预报(SCMOC)等3种气温预报在黑龙江省的结果进行集成,并将BREM方法对EC＿COR的修正效果进行评估,结果表明：不同预报结果都表现为冬季和夜间预报的准确率更低,气温偏低的11月至翌年1月更倾向于表现出预报较实况系统性偏高的特点。BREM方法能有效地修正EC＿COR对EC负订正的现象,且可显著高于任何一种参与集成的单一预报效果。可在对单一模式进行卡尔曼滤波递减平均订正的基础上,进一步提升预报质量。另外,利用集成方法对高质量预报产品的融合(不局限于模式直接输出预报或是订正预报)可获取较单一预报更优的预报结果。     

铁岭市近45年气候变化特征分析

利用线性倾向率、滑动平均等方法,对铁岭市1960--2004年间4个气象观测站的月平均气温、降水量、平均最高气温、平均最低气温以及初终霜、无霜期、积温、透雨等资料进行分析,结果发现铁岭市近45年气候变化特点为温度呈上升、降水略减少的趋势,特别是近15年,气温增暖幅度加大,降水春夏两季减少明显;但各季增温幅度差异较大,对气候变暖贡献最大的是冬季,平均最低气温升温幅度明显高于平均最高气温,气温日较差变小;初霜拖后、终霜提前及无霜期延长,积温明显增多,透雨偏晚频率增大,极端气候事件出现的几率增大。