晚冰期以来大柴旦盐湖沉积记录的古气候演变及其尘暴事件

本文选择大柴旦盐湖DCD03沉积剖面柱硼镁石矿层下伏土黄色淤泥质粉砂层为研究对象,基于AMS ₁₄C年代学、岩性地层学、矿物学以及地球化学等研究方法,旨在探讨土黄色湖相淤泥质粉砂沉积记录的尘暴事件,以及重建晚冰期以来西风环流显著影响区的水文气候变化。研究结果表明,DCD03沉积剖面的淤泥质粉砂样品粒度频率曲线呈现为双峰态,主峰(均值10 μm)反映了河流作用携带入湖的细粒组分,次峰(﹥32 μm)则反映了风力作用以及河流作用等携带入湖的粗粉砂粒组分。大于64 μm的砂砾组分可能代表外源风尘物质的输入,由尘暴天气携带入湖。大柴旦地区晚冰期以来依次出现了博令和阿勒罗德暖期(12.94~12.17 cal. ka BP)、新仙女木冷期(12.17~11.37 cal. ka BP)、不稳定的早全新世气候(11.37~8.64 cal. ka BP)以及趋于偏冷干的中全新世早期(8.64~7.39 cal. ka BP)。     

Characteristics of dry-wet abrupt alternation events in the middle and lower reaches of the Yangtze River Basin and the relationship with ENSO

During recent decades, more frequent flood-drought alternations have been seen in China as a result of global climate change and intensive human activities, which have significant implications on water and food security. To better identify the characteristics of flood-drought alternations, we proposed a modified dry-wet abrupt alternation index (DWAAI) and applied the new method in the middle and lower reaches of the Yangtze River Basin (YRB-ML) to analyze the long-term spatio-temporal characteristics of dry-wet abrupt alternation (DWAA) events based on the daily precipitation observations at 75 rainfall stations in summer from 1960 to 2015. We found that the DWAA events have been spreading in the study area with higher frequency and intensity since 1960. In particular, the DWAA events mainly occurred in May and June in the northwest of the YRB-ML, including Hanjiang River Basin, the middle reaches of the YRB, north of Dongting Lake and northwest of Poyang Lake. In addition, we also analyzed the impact of El Niño Southern Oscillation (ENSO) on DWAA events in the YRB-ML. The results showed that around 41.04% of DWAA events occurred during the declining stages of La Niña or within the subsequent 8 months after La Niña, which implies that La Niña events could be predictive signals of DWAA events. Besides, significant negative correlations have been found between the modified DWAAI values of all the rainfall stations and the sea surface temperature anomalies in the Nino3.4 region within the 6 months prior to the DWAA events, particularly for the Poyang Lake watershed and the middle reaches of the YRB. This study has significant implications on the flood and drought control and water resources management in the YRB-ML under the challenge of future climate change.     

Ecological compensation for desertification control: A review

Desertification control is a crucial way to enhancing the ecological conditions of arid and semi-arid regions, and maintaining sustainable development globally. Designing and improving an ecological compensation mechanism for desertification control has great significance related to achieving balance amongst the needs of different economic subjects and the assurance of a sustained and stable supply of desert ecosystem services. In this paper, (1) the theoretical bases of ecological compensation for desertification control were re-analyzed; (2) the research status and challenges of three important topics related to ecological compensation for desertification control were systemically discussed, including compensation standards, ecosystem service supply-consumption process and multi-scale effects, and resource- environment basis and policy orientation; (3) a research framework of ecological compensation for desertification control based on the process of desert ecosystem service supply–flow–consumption was proposed; (4) and finally, seven priority research issues were discussed, which aimed to support ecological compensation policy-making and ecological engineering implementation for desertification control.     

国家级现代农业气象业务技术进展

农业气象业务技术是开展农业气象服务的基础和前提,因此,农业气象业务技术的研发一直是国家级农业气象业务服务的核心工作。近年来,国家级农业气象业务技术已逐步迈向精细化、定量化,涵盖了农业气象监测评价、作物产量预报、农业气象灾害监测评估与影响预报、农用天气预报、农林病虫害发生发展气象等级预报等诸多领域。随着农业气象业务技术的发展,支撑农业气象服务的客观产品更加丰富和多样化,既有站点产品,又有格点产品,涵盖了日、周、月、季、年等不同时间尺度。以农业气象指标、数理统计模型、作物生长模拟、卫星遥感、地理信息系统、大数据等技术为核心的国家级农业气象业务平台（CAgMSS）已成为全国农业气象业务系统的重要品牌。面向现代农业发展对气象服务日益增长的需求,精细化、精准化的农业气象灾害监测与风险评估技术、作物长势评估与产量预报综合集成技术、农业应对气候变化技术以及农业气象大数据挖掘与人工智能技术将是未来国家级农业气象业务技术发展的重点。     

基于MICAPS4的智能网格预报平台设计与实现

随着我国智能网格预报业务的开展,海量高分辨率客观数据需要便捷的分析显示及产品制作平台高效处理。该文基于MICAPS4（Meteorological Information Comprehensive Analysis and Processing System Version 4.0,人机交互气象信息处理和天气预报制作系统）设计并实现智能网格预报平台,采用MVVM（模型-视图-视图模型,model-view-viewmodel）设计模式,实现业务逻辑与视图的分离,通过对各子功能模块的划分,降低模块之间的耦合度,具有良好的可扩展性。平台实现了高分辨率网格预报数据的显示分析和产品输出,开发了基于等值线、网格、关键点等智能化预报制作工具,集成了降水时间拆分、温度极值订正等客观预报方法,开发了降水、温度、相对湿度等要素一致性处理方法,可有效帮助预报员提高工作效率,同时能够确保产品之间的一致性。平台继承MICAPS4的微内核组件服务、高性能渲染引擎和开放式插件扩展管理等优良特性,实现面向智能网格预报的业务编排、智能编辑和算法集成。目前,该平台已经实现业务应用,为全国智能网格预报业务提供重要支撑。     

基于偏最小二乘回归的冬季北太平洋风暴轴指数的特征诊断

针对现有风暴轴指数分析大多采用相关分析等较为简单方法,难以对风暴轴指数变化有效诊断分析的问题,引入偏最小二乘回归(Partial Least Square Regression,PLS)的线性方法和核偏最小二乘回归方法(Kernel Partial Least Square Regression,KPLS),对冬季北太平洋风暴轴指数变化进行了特征诊断研究,并与传统的线性无偏最小二乘回归结果进行了试验比对。结果表明:偏最小二乘回归方法的诊断结果能够更好地反映风暴轴内部变化规律,并有效降低诊断误差。对于PNYI(北太平洋风暴轴纬度指数),采用r0. 2的因子筛选方案(r为因子与风暴轴指数的相关系数)并应用KPLS算法时,预测效果最佳;对于PNXI(北太平洋风暴轴经度指数)和PNII(北太平洋风暴轴强度指数),采用全因子方案并应用KPLS算法时,预测效果最佳。     

CMIP5全球气候模式对1981—2005年东北地表温度的模拟分析

利用中国东北1981—2005年173个气象台站观测的月平均地表(0 cm)温度资料和参加IPCC第五次评估报告的43个全球气候模式模拟结果,对比分析了CMIP5耦合气候模式对中国东北地区地表温度的模拟性能。结果表明：大部分气候模式模拟结果都能较好的再现研究区域的地表温度时空变化,与月观测的时间相关系数均高于095,对年际变化模拟能力稍差,大部分模式模拟结果在整个研究时段均表现出冷偏差。空间分布显示,CMIP5模式能够模拟出中国东北地区地表温度南高北低的空间分布特征,但不同模式模拟结果之间差异较大,模拟能力较优模式能够较好的模拟出研究区域的冷暖中心,较优模式组和较差模式组在夏季的差距达到最大,较差模式组不能再现地表温度的分布特征。通过模式优选发现FGOALS_s2模式表现最优。总的来说,CMIP5耦合气候模式对中国东北区域地表温度的时空变化特征的模拟性能较好,对气候态年变化的模拟性能好于对年际变化的模拟。     

天津地区一次对流性降水过程雨滴谱特征分析

激光雨滴谱仪是天津人影部门近年新引入的探测设备,它对降水过程的即时监测具有重要意义。本文基于LPM-THIES激光雨滴谱仪探测资料,对天津地区2015年7月19日的对流性降水过程进行了分析。研究显示:雨滴谱仪和翻斗雨量计所获取的逐时降水其变化趋势存在一致性,但雨滴谱仪获得的累积雨量要偏大;降水过程的时空差异性大,不同测站雨强差异明显,4站降水粒子平均直径介于0.40~0.64mm,且2.0mm以下的降水粒子占到了粒子总数的95%以上;降水时段的雨强与雷达反射率的起伏变化十分明显,雨滴数浓度基本上处于103量级;蓟县站3个时次的瞬时谱均呈现单峰型分布,且峰值位于0.5mm附近。     

Influence of Springtime Atlantic SST on ENSO:Role of the Madden-Julian Oscillation

Increased evidence has shown the important role of Atlantic sea surface temperature(SST) in modulating the El Nio-Southern Oscillation(ENSO). Persistent anomalies of summer Madden-Julian Oscillation(MJO) act to link the Atlantic SST anomalies(SSTAs) to ENSO. The Atlantic SSTAs are strongly correlated with the persistent anomalies of summer MJO, and possibly affect MJO in two major ways. One is that an anomalous cyclonic(anticyclonic) circulation appears over the tropical Atlantic Ocean associated with positive(negative) SSTA in spring, and it intensifies(weakens) the Walker circulation. Equatorial updraft anomaly then appears over the Indian Ocean and the eastern Pacific Ocean, intensifying MJO activity over these regions. The other involves a high pressure(low pressure) anomaly associated with the North Atlantic SSTA tripole pattern that is transmitted to the mid-and low-latitudes by a circumglobal teleconnection pattern, leading to strong(weak) convective activity of MJO over the Indian Ocean. The above results offer new viewpoints about the process from springtime Atlantic SSTA signals to summertime atmospheric oscillation, and then to the MJO of tropical atmosphere affecting wintertime Pacific ENSO events, which connects different oceans.     

Why Was the Strengthening of Rainfall in Summer over the Yangtze River Valley in 2016 Less Pronounced than that in 1998 under Similar Preceding El Niño Events?——Role of Midlatitude Circulation in August

It is widely recognized that rainfall over the Yangtze River valley (YRV) strengthens considerably during the decaying summer of El Niño, as demonstrated by the catastrophic flooding suffered in the summer of 1998. Nevertheless, the rainfall over the YRV in the summer of 2016 was much weaker than that in 1998, despite the intensity of the 2016 El Niño having been as strong as that in 1998. A thorough comparison of the YRV summer rainfall anomaly between 2016 and 1998 suggests that the difference was caused by the sub-seasonal variation in the YRV rainfall anomaly between these two years, principally in August. The precipitation anomaly was negative in August 2016——different to the positive anomaly of 1998. Further analysis suggests that the weaker YRV rainfall in August 2016 could be attributable to the distinct circulation anomalies over the midlatitudes. The intensified "Silk Road Pattern" and upper-tropospheric geopotential height over the Urals region, both at their strongest since 1980, resulted in an anticyclonic circulation anomaly over midlatitude East Asia with anomalous easterly flow over the middle-to-lower reaches of the YRV in the lower troposphere. This easterly flow reduced the climatological wind, weakened the water vapor transport, and induced the weaker YRV rainfall in August 2016, as compared to that in 1998. Given the unique sub-seasonal variation of the YRV rainfall in summer 2016, more attention should be paid to midlatitude circulation——besides the signal in the tropics——to further our understanding of the predictability and variation of YRV summer rainfall.