A mechanism for the origin and development of the large-scale dunefield on the right flank of the lower reach of Laoha River, Northeast China

By viewing satellite imagery, a striking large-scale dunefield can be clearly perceived, with a size of nearly 63 km long and 11 km wide, and trending NE–SW, on the right flank of the lower Laoha River, Northeast China. By means of remote sensing imagery analysis and field observation as well as a comparison with a small-scale dunefield on the right flank of the lower Xiangshui River, analogous to the case of the lower Laoha River, this paper presents a new mechanism for its origin and development. The results show that:(1) the large-scale dunefield bears a tile-style framework overwhelmingly composed of transverse barchanoid ridges perpendicular to the predominant winds, and inlaid diverse blowouts.(2) The small-scale dunefield, referred to as a primary structural unit of the large one, is typical of an incipient dunefield, following the same rules of evolution as the larger.(3) A succession of barchanoid ridge chains can steadily migrate downwind in much the same manner as surface wave propagation in air or water stimulated by an incised valley, and ultimately tend to bear roughly the same wavelength and amplitude under stable climate and hydrologic regimes.(4) The first ridge chain acquires its sand source substantially from the downwind escarpments exposing the loose Quaternary sandy sediments to the air, while the ensuing ridges derive their sands dominantly from in situ deflation of the underlain Quaternary loose sandy sediments in blowouts, partly from the upwind ridges through northern elongated horns. Theoretically, the sands from riparian escarpments can be transported by wind to the downwind distal end of a dunefield after sufficient long duration.(5) The lower Laohahe region experienced probably three significant climatic changes in the past, corresponding to the three active dune belts, suggesting that once a large-scale dunefield occurs, it is nearly impossible to be completely stabilized, at least in its central portions. At present, seasonal shrinkage and stagnation of the lower Laoha River, widespread farming and afforestation in the valley, and establishing windbreaks downwind of the valley as well as surrounding the dunefield, appear to have significantly modified local flow fields and sand sources, engendering significant degradation of the dunefield.     

青藏高原东南缘川滇地块古近纪沉积地层古地磁分析及其构造意义

针对中国西部及中亚地区以红色陆相沉积岩为主的白垩纪—新生代地层中普遍存在古地磁数据磁倾角偏低的现象,对青藏高原东南缘川滇地块中部大姚地区古近纪陆相红层进行了磁倾角偏低研究。实验结果表明,川滇地块内部古近纪陆相红层古地磁数据不存在明显的磁倾角偏低的现象。结合前人对川滇地块内部古地磁数据及周缘新生代走滑断裂的活动演化历史研究,确定川滇地块自中中新世以来川滇地块内部表现为刚性旋转,楚雄地区则发生局部构造旋转叠加。     

Convection-permitting regional climate simulation of warm-season precipitation over Eastern China

Climate Dynamics - Convection-permitting regional climate models have been shown to improve precipitation simulation in many aspects, such as the diurnal cycle, precipitation frequency, intensity...     

内蒙古巴彦淖尔市一次强降水过程诊断分析

运用常规气象资料和自动站实测资料,从低涡系统的演变规律及物理机制等方面对2010年9月6-9日发生在内蒙古巴彦淖尔市一次强降水过程进行诊断分析.结果表明:此过程是在中高纬稳定的大尺度环流背景下,由地面气旋、低涡和副热带高压共同作用下产生的,东移的冷空气与西南暖湿气流在巴彦淖尔市上空交绥是造成此次强降水的主要原因.充足、稳定的水汽输送和较强的水汽辐合,为此次强降水提供了充足的水汽条件.高空强烈的辐散,通过抽吸作用引起低层强烈的辐合,从而促使垂直上升运动增强,是此次降水天气发生的动力.500 hPa层以上大气层结稳定,阻挡暖湿空气向上输送,促使不稳定能量在500 hPa层以下积累,为此次强降水发生提供了足够的能量条件.850 hPa偏东风暖湿气流受阴山的阻挡和抬升,降水量增加,而山后降水量减少.乌拉山与白云查汗山形成狭长山谷,边界层东风气流穿过,狭管效应有利于此地风速增大,将大量的水汽输送到巴彦淖尔市上空.     

近34年河南首场暴雨时空分布特征及环流背景分析

利用1985-2018年河南省121个国家气象观测站每日20时至次日20时降水资料、常规高空地面观测资料、NCEP1°×1°再分析资料,通过统计和诊断分析方法分析了近34年河南首场暴雨的时空分布特征、影响系统、环流形势和物理量特征。研究结果表明:首场暴雨具有明显的年际变化和月变化特征,主要集中在4-5月,首场暴雨发生时间有提前的趋势;首场暴雨以全省性降水为主,黄淮之间沿黄及其以北和南部地区是暴雨的三个易发区;暴雨出现频次较多的站点和单日雨量最大的站点基本一致,首场暴雨出现的频次从河南省西北部到东南部逐渐增多。首场暴雨的地面影响系统主要是江淮气旋和江淮倒槽两类,高空影响系统500 hPa以低槽为主,700 hPa受低槽、切变线影响,850 hPa受低涡、切变线影响。江淮气旋类暴雨一般热力、动力条件较好,江淮倒槽类暴雨水汽条件较好。首场暴雨的水汽通量、辐合、辐散条件要优于夏季的,垂直速度略小于夏季的,比湿和不稳定度明显低于夏季的。     

基于深度学习和雷达观测的华南短临预报精度评估

利用最新的深度学习算法,即卷积长短期记忆(Convolution Long-Short Term Memory)神经网络,构建基于深度学习的人工智能短临预报系统,以广州地区2019年3-5月雷达观测的数据为输入进行训练,然后进行短期1h内的降水预报。利用常用的统计评分指标(探测率POD、误报率FAR、临界成功指数CSI,相关系数CC)检验模型。结果表明,预报结果与实际观测的相关系数在1h内预报均保持在0.6以上,在1h内预报探测率均保持在80%以上,临界成功指数在降水强度为10mm·h^-1时,基本保持在60%,误报率均小于40%。     

樟树市气象干旱特征及重现期分析

利用樟树市1960—2018年逐月降水和气温资料,计算标准化降水蒸散指数（SPEI）,并结合游程理论和Copula函数分析了该地区干旱特征。结果表明：樟树市干旱形势总体上趋于缓和,干旱历时和干旱烈度均呈减弱趋势,且呈现出良好的相关性;Frank-Copula函数可作为描述该地区干旱历时和干旱烈度的二维联合分布最优函数;在相同干旱历时和烈度下,“且”的重现期大于“或”的重现期,樟树市历史干旱事件的干旱历时多小于5个月,“且”的重现期小于10 a。