20世纪北大西洋温盐环流的年代际变化试评估

根据相对丰富的大气器测资料,综合前人对有限的海洋资料的诊断分析,从北大西洋涛动(NAO)变率、表层海温(SST)变率、格陵兰海和拉布拉多海的深对流活动长期变化等不同角度,对20世纪大洋温盐环流(Thermohaline Circulation,THC)变率进行了试评估.结果表明:(1)19世纪末以来,大西洋温盐环流的变化可分为4个时期:1900年以前的一段时期,THC较强;1904年到1930年,THC较弱;1931年到1972年,THC较强;1973年至1995年,THC较弱,目前则又有所增强.(2)与THC的变化相联系,大西洋主要气候要素的变化,相互间存在着某种协调关系,THC强,NAO弱,北大西洋北部SST升高,格陵兰海的对流活动增强,拉布拉多海的对流活动则减弱.     

地面稠密观测资料在强对流天气监测预警中的研究进展

综述国内外数篇论文,从强对流天气监测、预报预警、模式同化3个方面总结分析了近年来地面稠密观测资料的应用与优劣之处。综述表明:地面加密自动站、风廓线雷达、地基GPS、雨滴谱仪等多种观测仪器组成的地面稠密观测网具有时间尺度密集、覆盖面积广泛、能捕捉较多细微变化的优势,通过该观测网所得数据总结出的一系列指示性指标在强对流监测预警中具有重要的指示意义。但因中国地形天气情况复杂多变、数据缺失、仪器造价昂贵等问题,导致该观测网所得指示性指标不能适用于中国全境,应根据该观测网数据分析总结适应本地的预报指标。     

Intercomparison of measurements of bulk snow density and water equivalent of snow cover with snow core samplers: Instrumental bias and variability induced by observers

Manually collected snow data are often considered as ground truth for many applications such as climatological or hydrological studies. However, there are many sources of uncertainty that are not quantified in detail. For the determination of water equivalent of snow cover (SWE), different snow core samplers and scales are used, but they are all based on the same measurement principle. We conducted two field campaigns with 9 samplers commonly used in observational measurements and research in Europe and northern America to better quantify uncertainties when measuring depth, density and SWE with core samplers. During the first campaign, as a first approach to distinguish snow variability measured at the plot and at the point scale, repeated measurements were taken along two 20 m long snow pits. The results revealed a much higher variability of SWE at the plot scale (resulting from both natural variability and instrumental bias) compared to repeated measurements at the same spot (resulting mostly from error induced by observers or very small scale variability of snow depth). The exceptionally homogeneous snowpack found in the second campaign permitted to almost neglect the natural variability of the snowpack properties and focus on the separation between instrumental bias and error induced by observers. Reported uncertainties refer to a shallow, homogeneous tundra-taiga snowpack less than 1 m deep (loose, mostly recrystallised snow and no wind impact). Under such measurement conditions, the uncertainty in bulk snow density estimation is about 5% for an individual instrument and is close to 10% among different instruments. Results confirmed that instrumental bias exceeded both the natural variability and the error induced by observers, even in the case when observers were not familiar with a given snow core sampler.     

广州中心城区住宅租金差异的核心影响因素

构建并阐述城市住宅的特征租金理论框架,建立包括建筑特征、便利性特征、环境特征、区位特征在内的“四分法”特征租金模型。以2020年3月广州中心城区23126套待租住宅的挂牌月租金单价为基本数据,通过分级空间统计和空间自相关分析广州中心城区住宅租金的空间差异格局与空间关联性,构建4要素12个指标的广州中心城区住宅租金影响因素指标体系,通过3种模型比选,采用空间误差模型测度住宅租金的影响因素,并筛选核心影响因素。结果表明：① 在研究城市内部住宅租金影响因素时,可采用本文构建的特征租金理论框架及其特征租金模型;② 广州中心城区中低租金水平的住宅数量最多,住宅租金呈现核心区高,外围城区低的空间分异格局,具有显著的空间集聚和空间关联特征;③ 建筑特征（建筑面积、朝向与楼层、房龄、电梯与物业）、便利性特征（地铁便利性、办公便利性、基础教育便利性）、环境特征（公园可达性、工业污染影响）和区位特征（距市中心距离）共4个方面的10个因素对广州中心城区住宅租金差异有显著影响;④ 建筑面积、房龄和距市中心距离是住宅租金的3个最关键核心影响因素,电梯与物业、办公便利性也是核心影响因素。     

冷涡背景下山东省“5·17”极端强对流天气环境条件分析

2020年5月17日,山东省出现大范围强对流天气(简称“5·17”强对流),冰雹范围之广为近10年之首。对流风暴高度组织化,区域性的超级单体群以及一条长度超过500 km的强飑线造成此次极端强对流天气。利用ERA5再分析、加密自动气象观测站、多普勒天气雷达等资料,剖析了此次极端强对流天气的环境条件。结果表明:冷涡位于最有利于山东出现强对流的关键区,大尺度天气系统强迫强,对流层中层异常强的冷空气南下影响前期异常增暖的山东地区,造成“5·17”极端强对流。天气系统的异常程度更能代表动热力强迫的强度,异常程度达到2σ以上有可能造成极端强对流天气。当冷涡南下过程中强度减弱,但异常程度增加时,其东南象限仍能产生极端强对流天气。强的深层垂直风切变有利于对流风暴组织化发展,飑线的长轴走向与0～6 km垂直风切变矢量方向相同,新单体发生、发展、合并的区域位于风矢量差大值中心前沿。低层暖湿平流源源不断地向山东输送暖湿空气,是CAPE重建的机制,是超级单体群和长飑线得以长时间维持的主要能量来源。     

IMPACT OF CONVECTION OVER THE SOUTH CHINA SEA ON TROPICAL CYCLONE MOTION OVER THE WESTERN NORTH PACIFIC DURING SUMMER MONSOON

The intraseasonal oscillation(ISO) of the South China Sea(SCS, 105-120°E, 5-20°N) convection and its influences on the genesis and track of the western North Pacific(WNP) tropical cyclones(TCs) were explored, based on the daily average of NCEP/NCAR reanalysis data, the OLR data and the western North Pacific tropical cyclone best-track data from 1979 to 2008. The mechanism of the influences of ISO on TC movement and the corresponding large-scale circulation were discussed by a trajectory model. It was found as follows.(1) During the SCS summer monsoon, the SCS convection exhibits the ISO features with active phases alternating with inactive phases. The monsoon circulation patterns are significantly different during these two phases. When the SCS convection is active(inactive), the SCS-WNP monsoon trough stretches eastward(retreats westward) due to the activity(inactivity) of SCS monsoon, and the WNP subtropical high retreats eastward(stretches westward), which enhances(suppresses) the monsoon circulation.(2) The amount of TC genesis in the active phase is much more than that in the inactive phase. A majority of TCs form west of 135 °E during the active phases but east of 135 °E in the inactive phases.(3) The TCs entering the area west of 135 °E and south of 25 °N would move straight into the SCS in the active phase, or recurve northward in the inactive phase.(4) Simulation results show that the steering flow associated with the active(inactive)phases is in favor of straight-moving(recurving) TCs. Meanwhile, the impacts of the locations of TC genesis on the characteristics of TC track cannot be ignored. TCs that occurred father westward are more likely to move straight into the SCS region.     

A STUDY OF RAPID DECAY TYPHOONS IN OFFSHORE WATERS OF CHINA

On the basis of NCEP/NCAR reanalysis data and yearbooks of CMA tropical cyclones, statistical analysis is performed for 1949—2013 offshore typhoons subjected to rapid decay(RD). This analysis indicates that RD typhoons are small-probability events, making up about 2.2% of the total offshore typhoons during this period. The RD events experience a decadal variation, mostly in the 1960 s and 1970 s(maximal in the 1970 s), rapidly decrease in the 1980 s and 1990 s and quickly increase from 2000. Also, RD typhoons show remarkable seasonal differences: they arise mainly in April and July-December, with the prime stage being in October-November. The offshore RD typhoons occur mostly in the South China Sea(SCS) and to a lesser extent in the East China Sea(ECS); however, none are observed over the Huang Sea and Bo Sea.Composite analysis and dynamic diagnosis of the RD typhoon-related large-scale circulations are performed.Physical quantities of the composite analysis consist of 500-h Pa height and temperature fields, vapor transfer, vertical wind shear(VWS), density of core convection(DCC), and high-level jet and upper-air outflow of the typhoon. The results suggest that(1) at the 500-h Pa height field, the typhoon is ahead of a westerly trough and under the effects of its passing trough;(2) at the temperature field, the typhoon is ahead of a temperature trough, with an invading cold tongue present;(3) at the vapor transfer field, water transfer into the RD typhoon is cut off; and(4) at higher levels, the related jet weakens and the outbreak of convection becomes attenuated in the typhoon core. In addition, VWS bears a relation to the RD typhoon; in particular, strong VWS favors RD occurrence.The differences in RD events between the SCS and ECS show that for the RD, the VWS of the ECS environmental winds is markedly stronger in comparison with its SCS counterpart. The cold advection invading into the typhoons is more intense in the SCS than in the ECS, and the low-level vapor transfer and high-level outflow are weaker in the SCS RD typhoons.Data analysis shows that sea surface temperature(SST), VWS, and DCC can be employed as efficient factors to predict RD occurrence. With appropriate SST, VWS, and DCC, a warning of RD occurrence can be given 36, 30-36,and 30 h, respectively, in advance. These values suggest that atmospheric SST responses lag. Owing to this time lag,the prediction of RD typhoons is possible.     

福建春季西南急流暖湿强迫背景下的强对流天气流型配置及环境条件分析

根据2002—2013年福建26次春季强对流天气过程中12例由西南急流暖湿强迫产生的强对流天气的高低空环流配置,利用常规高空、地面观测资料以及NCEP再分析资料,运用中尺度对流天气的天气图分析技术建立福建春季西南风低空急流暖湿强迫背景下的强对流天气流型的识别方法,并统计静力稳定度、水汽、抬升和垂直风切变条件及相应物理量要素,初步揭示了福建省春季西南急流暖湿强迫背景下的强对流天气过程的特征和规律。此类强对流天气是由对流层中、高层干冷空气位于低层强烈发展的暖湿平流之上形成显著条件不稳定层结,逆温、干暖盖、中低层有利的水汽条件,上干下湿的温湿廓线以及低空辐合、高空辐散为强对流天气的发生提供了有利的环境条件,强对流天气系统由地面的锋面、辐合线、热低压、925 hPa辐合线以及西南急流脉动等中尺度天气系统触发,对流生成后在西南风急流引导下移入有利于对流发展的不稳定区域使得对流持续发展,强垂直风切变配合较大的对流有效位能有利于对流风暴持续发展。     

Oil and gas development exposure and conservation scenarios for Greater sage-grouse: Combining spatially explicit modeling with GIS visualization provides critical information for management decisions

During the last quarter-century, global demand for energy has increased by more than 60%, and a similar increase is anticipated to occur by 2030 (Raymond, Deming, & Nichols, 2007). In the U.S., oil and gas development is projected to continue across western states within sage-grouse habitat. Greater sage-grouse, recently a candidate species for protection under the Endangered Species Act (ESA), have well documented negative responses to oil and gas disturbance. In this study, we create spatially-explicit oil and gas future development scenarios, baseline and high, and link them to sage-grouse population and habitat maps to quantify future exposure risk within Western Association of Fish and Wildlife Agencies (WAFWA) sage-grouse management zones (MZ) I and II. We then analyze recent land use decisions from the Bureau of Land Management (BLM) along with enacted policy from the State of Wyoming to estimate how these management actions might minimize the exposure risk of sage-grouse to oil and gas development into the future. Our results show that BLM and Wyoming conservation plans could reduce the exposure of sage-grouse to oil and gas development from 15-27% to 11–17% (31–37% reduction) in MZ I and from 15-27% to 5–9% (64–68% reduction) in MZ II. Our estimates of exposure to future oil and gas development, and conservation measures designed to ameliorate those threats, represent the upper and lower extents of potential impacts within scenarios. Our work demonstrates how spatial modeling and GIS visualization can be used by managers to assess likely outcomes of conservation decisions.