EFFECTS OF SPRING SOIL MOISTURE IN THE INDOCHINA PENINSULA ON SUMMER PRECIPITATION OVER THE SOUTH CHINA SEA AND ITS SURROUNDING AREAS: A SIMULATION STUDY FOR 1999

Using the regional climate model RegCM4.4.5, coupled with the land model CLM4.5, we investigated the effects of springtime soil moisture in the Indochina Peninsula on summer precipitation over the South China Sea and its surrounding areas in 1999. Results have indicated that there exists positive correlation between soil moisture and summer precipitation over the western Pacific Ocean and negative correlation between soil moisture and summer precipitation over the eastern Indian Ocean. Summer precipitation in the South China Sea and its surrounding areas responds to springtime soil moisture in the Indochina Peninsula (the northwest region is critical) because general atmospheric circulation is sensitive to the near-surface thermodynamic state. Increased (decreased) soil moisture would result in decreased (increased) local surface temperatures. Latitudinal, small-scale land–sea thermal differences would then result in northeasterly wind (southwesterly wind) anomalies in the upper layer and southwesterly wind (northeasterly wind) anomalies in the lower layer, which strengthen (weaken) monsoon development. As a result, precipitation would enter the Western Pacific region earlier (later), and water vapor over the eastern Indian Ocean would enter the South China Sea earlier (later), causing a precipitation reduction (increase) in the eastern Indian Ocean and increase (reduction) in the Western Pacific.     

金沙江下游多种面雨量集成预报方法的对比分析

集成方法有利于提高降水要素预报的准确性和可预报性。本文基于格点实况资料和智能网格预报、西南区域数值预报、ECMWF模式预报、GRAPES模式预报产品,以面雨量为研究对象,采用多元回归法、BP神经网络法、评分权重法、加权集成预报法和算术平均法,得到集成面雨量预报,再运用平均绝对误差、模糊评分、正确率、TS评分、偏差分析等方法,对2020年4—10月金沙江下游面雨量预报效果进行对比分析。结果表明：多元回归集成法和BP神经网络法的预报效果总体上优于其他几种集成方法。在考虑流域面雨量的预报量级时,下游可以采用预报量级较小的模式和集成方法。集成后偏差百分比均有降低,且多元回归法和BP神经网络法对预报量级较小的模式有矫正作用。在面雨量有无、小雨和中雨预报中,多元回归法集成效果较好,在大雨量级预报中,BP神经网络法集成效果较好。这些结论可为流域面雨量预报提供参考借鉴。     

向家坝、溪洛渡库区地震尾波Qc值估计

基于向家坝、溪洛渡水库地震监测台网35个台站记录到的99次M_L2.1～4.1地震观测资料,利用Aki单次散射模型研究库区地震尾波衰减特征。结果表明,库区Q_c值与频率有较强的依赖关系：Q(f)=(120.8±3.6)f⁽(0.771 2±0.010 3)),为后续震源参数计算和定标关系研究提供了良好基础。相较于Koyna、Aswan和新丰江水库,向家坝、溪洛渡水库具有高Q₀值和低n值特征,与水库库区地震活动性相符。     

大气低频振荡对川西持续性强降水的影响

利用1981—2016年川西台站降水资料和NCEP/NCAR再分析资料,通过合成分析、Butterworth滤波等方法,分析了大气低频振荡对川西持续性强降水的影响,以期为该地强降水预报工作提供理论参考。结果表明：川西降水主要表现为15—30 d低频振荡特征。降水期间,低层低频东北风波列和西南风波列在川西相遇,辐合上升。前期在喀拉海和西北亚分别生成低频反气旋和气旋,两个系统向东南方向移动至贝加尔湖和日本海附近,为川西降水输送冷空气,印度半岛低频气旋转换为低频反气旋为川西输送阿拉伯海水汽。中层中高纬度东北风低频波列向南传播至雨区,有低频高压和低频低压分别与低层低频反气旋和气旋相对应,向东南方向传播从而影响川西地区。高层低频波传播也主要发生在中高纬度,降水前生成于贝加尔湖以西的低频反气旋和辐散中心先向东南移动,再向西南伸展,降水开始时控制川西地区。