A timescale decomposed threshold regression downscaling approach to forecasting South China early summer rainfall

A timescale decomposed threshold regression(TSDTR) downscaling approach to forecasting South China early summer rainfall(SCESR) is described by using long-term observed station rainfall data and NOAA ERSST data. It makes use of two distinct regression downscaling models corresponding to the interannual and interdecadal rainfall variability of SCESR.The two models are developed based on the partial least squares(PLS) regression technique, linking SCESR to SST modes in preceding months on both interannual and interdecadal timescales. Specifically, using the datasets in the calibration period 1915–84, the variability of SCESR and SST are decomposed into interannual and interdecadal components. On the interannual timescale, a threshold PLS regression model is fitted to interannual components of SCESR and March SST patterns by taking account of the modulation of negative and positive phases of the Pacific Decadal Oscillation(PDO). On the interdecadal timescale, a standard PLS regression model is fitted to the relationship between SCESR and preceding November SST patterns. The total rainfall prediction is obtained by the sum of the outputs from both the interannual and interdecadal models. Results show that the TSDTR downscaling approach achieves reasonable skill in predicting the observed rainfall in the validation period 1985–2006, compared to other simpler approaches. This study suggests that the TSDTR approach,considering different interannual SCESR-SST relationships under the modulation of PDO phases, as well as the interdecadal variability of SCESR associated with SST patterns, may provide a new perspective to improve climate predictions.     

A CRPS-Based Spatial Technique for the Verification of Ensemble Precipitation Forecasts

Traditional precipitation skill scores are affected by the well-known“double penalty”problem caused by the slight spatial or temporal mismatches between forecasts and observations. The fuzzy (neighborhood) method has been proposed for deterministic simulations and shown some ability to solve this problem. The increasing resolution of ensemble forecasts of precipitation means that they now have similar problems as deterministic forecasts. We developed an ensemble precipitation verification skill score, i.e., the Spatial Continuous Ranked Probability Score (SCRPS), and used it to extend spatial verification from deterministic into ensemble forecasts. The SCRPS is a spatial technique based on the Continuous Ranked Probability Score (CRPS) and the fuzzy method. A fast binomial random variation generator was used to obtain random indexes based on the climatological mean observed frequency, which were then used in the reference score to calculate the skill score of the SCRPS. The verification results obtained using daily forecast products from the ECMWF ensemble forecasts and quantitative precipitation estimation products from the OPERA datasets during June-August 2018 shows that the spatial score is not affected by the number of ensemble forecast members and that a consistent assessment can be obtained. The score can reflect the performance of ensemble forecasts in modeling precipitation and thus can be widely used.     

高分辨率模式雷达回波预报能力分析

利用2018年7—8月GRAPES_3 km、东北短临(WRFRUC)高分辨率模式综合雷达回波预报数据和辽宁省SWAN雷达组合反射率(MCR)实况,基于邻域法FSS评分指数,分析模式在台风北上和副热带高压边缘暴雨过程中的雷达回波预报能力。结果表明:两家模式在不同降水过程中对小阈值雷达回波有较好的预报技巧,随着回波量级增大,模式预报FSS逐渐减小,雷达回波55 dBz时,FSS甚至为0。当邻域半径是3时,35 dBz以下的回波预报中GRAPES模式在台风北上暴雨中的预报技巧低于副热带高压边缘,35 dBz则相反。WRFRUC模式始终表现为台风北上暴雨中预报较好。当邻域半径9时,WRFRUC模式在台风暴雨中的FSS评分高于GRAPES模式,GRAPES模式在副热带高压暴雨中的FSS评分始终高于WRFRUC模式。GRAPES和WRFRUC模式的最大FSS评分技巧均出现在邻域半径是11时,分别为0.239和0.195。GRAPES模式中FSS评分在12 h逐小时预报中前3个时次较强,WRFRUC模式则表现为中间时次强,两头弱。     

对土石方计算的几点技巧的探讨

在工程测量中,测量土石方是一件很普通的工作。但在计算土石方过程中,经常会遇到一些很难解决的问题。介绍了利用一种常用的土石方软件系统来计算土石方的技巧。     

新型测绘背景下的大学生技能竞赛与教学改革

新型测绘是未来测绘行业发展的趋势,在分析目前全国大学生测绘技能大赛与高校测绘教学现状的基础上,构建面向新型测绘的技能竞赛体系,并根据新型测绘的基本构架设计对应的理论与实践教学模块和基本的理论教学改革方案,提出基于CDIO模式进行测量实践教学改革,以实现技能竞赛引导下的创新性、应用性人才培养。     

2003～2015年中国城市劳动力技能互补、收入水平与人口城镇化

基于2003~2015年中国256个地级市面板数据,对城市中高低技能劳动力耦合协调度进行衡量,并就扩大低技能劳动力规模对城市收入水平的影响进行了分析。主要结论为：① 过去10 a间,中国市级层面的高低技能劳动力耦合协调度总体上升,但上升幅度存在显著的区域间差异;② 七大国土区域内部的高低技能劳动力耦合协调度差异不断扩大,表明城市间高低技能劳动力流动正在加速;③ SLM和SEM模型均表明,地市级层面的低技能劳动力比重、城市收入水平和城市规模三者正相关,说明城市经济规模越大,扩大其低技能劳动力比重,越有助于提升城市总体收入水平。     

国际贸易对地区劳动力技能升级的影响——基于中国大陆地区地级市的数据分析

随着中国人口红利逐渐消失,劳动力技能升级的问题日益突出。已有研究表明,发展中国家融入全球生产网络体系并非必定能够促进劳动力技能的升级。论文以中国大陆地区主要地级市为例,利用2005、2010、2015年的面板数据,试图分析国际贸易对各地区劳动力技能结构变动及技能升级方面的影响。结果表明：出口贸易对地区高技能劳动力就业比重具有抑制作用,表现为出口贸易对劳动力技能降级的影响;而进口贸易所产生的技术扩散效应尚未显现,进出口贸易整体影响并不显著。进一步来看,从区域产业地理格局角度,对外贸易影响了不同技能水平劳动力人群的区域间流动,使得对外贸易对劳动力技能升级的影响效果在不同的区位与城市规模特征间存在显著差异。沿海城市和大城市主要表现为进口贸易显著促进高技能劳动力就业比重进而带来地区劳动力技能升级,相对于内陆地区和小城市而言,出口贸易会带来高技能劳动力就业比重下降,地区劳动力技能呈现降级趋势。     

时间滞后变结构控制系统的研究新进展

详细地论述了时间滞后变结构控制系统的有关概念、特点和研究历史,研究历史从初级阶段、中级阶段、高级阶段、崭新阶段进行了描述;总结了到目前为止对该系统的若干研究进展;指出了有关时间滞后变结构控制系统的几个新的研究方向。     

南海上层环流观测研究进展

回顾了近50a来南海环流研究的进展，重点介绍了近期有关南海上层总环流的观测研究成果，并就南海季风急流、南海暖流、南海南部的次海盆尺度环流，以及南海东北部环流的几个问题进行了专门讨论。