基于反射地震资料探讨泥河湾盆地的新生代和中生代地层

查明泥河湾盆地新生界及中生界地层序列及基底的分布与赋存形态是研究泥河湾盆地形成机制的基础性工作。本研究在泥河湾盆地桑干河与壶流河交接处附近采集了四条测线的反射地震数据,通过对精细处理后的地震剖面进行详细分析,在剖面上厘定了三个具有明显强反射标志的地层,即古近系的玄武岩、侏罗系上统的含煤地层和侏罗系下统的含煤地层;其中,新近系沉积层与古近系玄武岩界面在地震剖面上出现的双程旅行时为0.3~0.6s,深度范围为300~500m,而第四系泥河湾组底界由南西到北东逐渐加深,其界面深度为200~300m;侏罗系上统含煤地层在地震剖面上出现的双程旅行时在0.8s上下波动,其深度约为1200m,探测出侏罗系上统顶界面的深度范围为800~1100m;侏罗系下统含煤地层在地震剖面上出现的双程旅行时为1.0~1.4s,深度范围为1800~2000m,由此推测出中生界侏罗系与古生界寒武系地层分界线的深度为2000m左右;根据地震反射波阻抗差别推测出新元古界和太古界地层的分界面在地震剖面上出现的时间约为2.5s,其深度为4000m左右。本研究通过四条反射地震测线的数据基本上查明了泥河湾盆地位于探测区处第四系泥河湾组底界面的深度分布范围及起伏形态、侏罗系上统顶界面和下统底界面的大致埋深,为查明泥河湾盆地新生界及中生界地层序列提供了基础性的参考信息。     

长江口现代潮滩沉积物粒度特征及其在沉积相识别中的应用

本研究通过对长江口现代潮滩6个柱状样沉积物的粒度精细分析,试图提取研究区潮滩沉积相识别的粒度敏感指标,并通过对长江三角洲南部平原一个全新世钻孔(SL67孔)潮滩沉积物的粒度研究,检验现代沉积粒度敏感指标在全新世钻孔潮滩沉积相识别中的应用。研究显示,长江口现代高潮滩和中潮滩的黏性颗粒(8μm)和粗粉砂(32~63μm)含量差异显著,可以成为区分高潮滩和中潮滩的敏感组分;在开敞型的中、低潮滩之间,砂(63μm)和细粉砂含量(8~32μm)也差异明显。长江口现代潮滩沉积物的粒度频率曲线及众数值也可以有效协助区分高潮滩、中潮滩和低潮滩沉积物。利用上述粒度敏感组分和众数指标检验SL67孔全新世早中期在海平面波动控制下的潮滩演替过程,并揭示了7.5 cal ka BP前后的一次海平面加速上升事件。     

CAS FGOALS-g3 Model Datasets for the CMIP6 Scenario Model Intercomparison Project(ScenarioMIP)

This paper describes the datasets from the Scenario Model Intercomparison Project(ScenarioMIP) simulation experiments run with the Chinese Academy of Sciences Flexible Global Ocean–Atmosphere–Land System Model,GridPoint version 3(CAS FGOALS-g3). FGOALS-g3 is driven by eight shared socioeconomic pathways(SSPs) with different sets of future emission, concentration, and land-use scenarios. All Tier 1 and 2 experiments were carried out and were initialized using historical runs. A branch run method was used for the ensemble simulations. Model outputs were three-hourly, six-hourly, daily, and/or monthly mean values for the primary variables of the four component models. An evaluation and analysis of the simulations is also presented. The present results are expected to aid research into future climate change and socio-economic development.     

中国地球气候系统模式的发展及其模拟和预估

地球气候系统模式是开展多学科、多圈层集成研究的重要平台,其发展是国际地学领域特别是全球变化领域竞争的前沿。中国的地球气候系统模式研发工作始于20世纪80年代,最近10年得到快速发展。研发格局上已经形成中国科学院、有关部委和高校三足鼎立的局面。文中在简要回顾中国地球气候系统模式早期发展历史的基础上,总结了中国参加第6次耦合模式比较计划的9个地球气候系统模式的技术特点,初步评估了中国4个模式对全球和东亚气候模拟的基本性能,分析了其在4种共享社会经济路径情景下对全球降水与温度的预估变化及其与平衡态气候敏感度的联系。最后,结合国际态势,从发展的角度提出未来中国气候模式研发工作需要加强的8个方向。      

雷达资料同化对一次浙江初春罕见飑线过程数值模拟的影响分析

以2018年3月4日影响浙江的初春罕见飑线过程为例,利用WRF模式与GSI-3DVar同化系统开展了雷达资料同化对重大强对流天气的影响研究,分析了雷达资料同化对此次飑线过程的模拟改进作用和可能影响过程,对比了雷达反射率因子和雷达径向速度的同化效果,探讨了不同数量和位置的雷达资料同化对模拟效果的影响。结果表明:雷达资料(尤其是反射率因子)同化有效改善了飑线边界层特征的模拟,从而改进了模式对飑线过程中组合反射率因子、降水、大风等发展演变的模拟效果。雷达反射率因子同化通过直接调整水凝物质含量,修正风暴中降水模拟及由此引起的蒸发冷却,形成更接近实况的强冷池,进而产生了比雷达径向速度同化更大的正贡献。相对于同化非关键区域的雷达资料,同化飑线过程上游关键区域的雷达观测所包含的重要中小尺度信息,对飑线过程模拟效果提升更为重要。     

人工增雨防雹火箭弹道跟踪系统的研制及初步试验

由于受到高空风场的影响,人工增雨防雹火箭真实的弹道轨迹和射程与理论弹道值具有不一致性。为增强实施增雨防雹作业的科学性、精准性及其作业效果评估准确性,研制了一套人工增雨防雹火箭播撒作业跟踪系统。该系统分为火箭定位系统和数据传输系统两部分,利用卫星定位模块加上数据传输电台模式将火箭飞行轨迹实时传输至地面。并开展了一次人工增雨防雹火箭弹道跟踪实弹发射试验,发射两发人工增雨防雹测试火箭,除初始阶段4～5 s卫星定位失锁而没有数据外,其余时间所有数据均接收完整。结合高空风场数据对人工增雨防雹测试火箭进行风偏修正后的实际弹道更接近于理论弹道,风偏修正意义明显,有利于增雨防雹火箭精准作业。     

山东夏季极端热事件变化特征分析

利用山东88个气象站1961—2019年夏季6—8月逐日最高、最低气温观测数据,分析了山东各地极端热昼、极端热夜、极端高温日三个极端热事件的时空演变规律和突变特征。结果表明：1）山东夜间出现极端热事件及白天和夜间同时出现极端热事件的天数增多、强度增强、占比增加。历年极端热昼出现天数和占比均呈不同程度的减少趋势,平均强度呈减小趋势,其中占比减少最明显;极端热夜、极端高温日出现天数和占比均呈不同程度的增加趋势,平均强度呈增强趋势。2）山东内陆和沿海地区各极端热事件变化差异明显。内陆地区极端热昼各指标减少、减小趋势更显著,大部分地区变化趋势通过了0.05的显著性水平检验,半岛南部和东部部分区域则有增加、增强趋势;中西部地区极端热夜各指标增加、增强趋势更显著,大部分地区变化趋势通过了0.05的显著性水平检验;中东部区域尤其是半岛地区极端高温日各指标增加、增强趋势更显著,大部分地区变化趋势通过了0.05的显著性水平检验。3）各极端热事件不同指标的突变情况迥异。极端热昼历年出现天数没有发生突变,平均强度在1970年前后发生突变,突变发生后,平均强度明显减小;极端热夜出现天数和平均强度均在1994年前后发生突变,突变发生后,出现天数明显增加、平均强度明显增强;极端高温日出现天数和强度分别在1994年、1973年前后发生突变,突变发生后,出现天数明显增加。     

2019年西北太平洋和南海台风活动概述

应用中央气象台业务实时资料和中国气象局台风最佳路径资料对2019年发生在西北太平洋和南海的台风活动主要特征以及主要影响我国的台风路径、强度及风雨情况进行了统计分析和论述。2019年西北太平洋和南海共有29个台风生成,较多年平均值偏多2个;秋季台风异常活跃,生成数较常年明显偏多;台风整体强度偏弱,超强台风数与常年持平;有5个台风登陆我国,较多年平均值略偏少;登陆台风平均强度较多年平均值明显偏弱,但台风“利奇马”登陆强度强、风雨影响重。     

Influence of Changes in Solar Radiation on Changes of Surface Temperature in China

The long-term trends of total surface solar radiation(SSR),surface diffuse radiation,and surface air temperature were analyzed in this study based on updated 48-yr data from 55 observational stations in China,and then the correlation between SSR and the diurnal temperature range(DTR) was studied.The effect of total solar radiation on surface air temperature in China was investigated on the basis of the above analyses.A strong correlation between SSR and DTR was found for the period 1961-2008 in China.The highest correlation and steepest regression line slope occurred in winter,indicating that the solar radiation effect on DTR was the largest in this season.Clouds and water vapor have strong influences on both SSR and DTR,and hence on their relationship.The largest correlations between SSR and DTR occurred in wintertime in northern China,regardless of all-day(including clear days and cloudy days) or clear-day cases.Our results also showed that radiation arriving at the surface in China decreased significantly during 1961-1989(dimming period),but began to increase during 1990-2008(brightening period),in agreement with previous global studies.The reduction of total SSR offset partially the greenhouse warming during 1961-1989.However,with the increase of SSR after 1990,this offsetting effect vanished;on the contrary,it even made a contribution to the accelerated warming.Nonetheless,the greenhouse warming still played a controlling role because of the increasing of minimum and mean surface temperatures in the whole study period of 1961-2008.We estimated that the greenhouse gases alone may have caused surface temperatures to rise by 0.31-0.46℃(10 yr) 1 during 1961-2008,which is higher than previously estimated.Analysis of the corresponding changes in total solar radiation,diffuse radiation,and total cloud cover indicated that the dimming and brightening phenomena in China were likely attributable to increases in absorptive and scattering aerosols in the atmosphere,respectively.     

Assimilating Best Track Minimum Sea Level Pressure Data Together with Doppler Radar Data Using an Ensemble Kalman Filter for Hurricane Ike (2008) at a Cloud-Resolving Resolution

Extending an earlier study, the best track minimum sea level pressure (MSLP) data are assimilated for landfalling Hurricane Ike (2008) using an ensemble Kalman filter (EnKF), in addition to data from two coastal ground-based Doppler radars, at a 4-km grid spacing. Treated as a sea level pressure observation, the MSLP assimilation by the EnKF enhances the hurricane warm core structure and results in a stronger and deeper analyzed vortex than that in the GFS (Global Forecast System) analysis; it also improves the subsequent 18-h hurricane intensity and track forecasts. With a 2-h total assimilation window length, the assimilation of MSLP data interpolated to 10-min intervals results in more balanced analyses with smaller subsequent forecast error growth and better intensity and track forecasts than when the data are assimilated every 60 minutes. Radar data are always assimilated at 10-min intervals. For both intensity and track forecasts, assimilating MSLP only outperforms assimilating radar reflectivity (Z) only. For intensity forecast, assimilating MSLP at 10-min intervals outperforms radar radial wind (Vr) data (assimilated at 10-min intervals), but assimilating MSLP at 60-min intervals fails to beat Vr data. For track forecast, MSLP assimilation has a slightly (noticeably) larger positive impact than Vr(Z) data. When Vr or Z is combined with MSLP, both intensity and track forecasts are improved more than the assimilation of individual observation type. When the total assimilation window length is reduced to 1h or less, the assimilation of MSLP alone even at 10-min intervals produces poorer 18-h intensity forecasts than assimilating Vr only, indicating that many assimilation cycles are needed to establish balanced analyses when MSLP data alone are assimilated; this is due to the very limited pieces of information that MSLP data provide.