四川地区多模式2m温度预报性能分析及集成方法研究

本文通过分析2017年9~12月四川地区ECMWF(European Centre for Medium-Range Weather Forecasting)细网格模式、GRAPES_GFS(Global and Regional Assimilation and Prediction System)全球模式和西南区域模式(South West Center-WRF ADAS Real-time Modeling System, SWCWARMS)2m温度168h预报时效内的系统性偏差特征,采用滑动双权重平均法分别对三种模式温度预报产品进行偏差订正,并集成得到各时效2m温度的订正场,结果表明:(1)三种模式的预报存在明显的日变化,整体上EC模式的预报最优。(2)三种模式对于低温和高温的预报,在全省均大致呈现负的系统性误差,特别在高原及过渡区表现的尤为明显。(3)订正后三种模式的预报准确率显著提高,均方根误差减小1.4~2.5℃,大部分地区平均误差维持在±0.5℃之间,在系统性偏差较大的地区,订正效果更好。(4)两种集成方案预报结果接近,且均优于三种模式的订正预报。     

The Relationship between Deterministic and Ensemble Mean Forecast Errors Revealed by Global and Local Attractor Radii

It has been demonstrated that ensemble mean forecasts, in the context of the sample mean, have higher forecasting skill than deterministic(or single) forecasts. However, few studies have focused on quantifying the relationship between their forecast errors, especially in individual prediction cases. Clarification of the characteristics of deterministic and ensemble mean forecasts from the perspective of attractors of dynamical systems has also rarely been involved. In this paper, two attractor statistics—namely, the global and local attractor radii(GAR and LAR, respectively)—are applied to reveal the relationship between deterministic and ensemble mean forecast errors. The practical forecast experiments are implemented in a perfect model scenario with the Lorenz96 model as the numerical results for verification. The sample mean errors of deterministic and ensemble mean forecasts can be expressed by GAR and LAR, respectively, and their ratio is found to approach2~(1/2) with lead time. Meanwhile, the LAR can provide the expected ratio of the ensemble mean and deterministic forecast errors in individual cases.     

Indian Ocean Dipole-related Predictability Barriers Induced by Initial Errors in the Tropical Indian Ocean in a CGCM

利用GFDL CM2p1模式, 本文探讨了初始海温误差对印度洋偶极子(IOD)事件可预报性的影响. 当热带印度洋存在初始海温误差时, IOD预报发生了冬季预报障碍(WPB)现象和夏季预报障碍(SPB)现象. WPB发生与否与正IOD事件发展位相冬季的厄尔尼诺-南方涛动(ENSO)有关. 即当冬季存在ENSO时, IOD预测不发生WPB现象, 反之亦然. 相比之下, SPB发生与否和ENSO没有必然联系. 此外, 进一步探讨了最容易导致SPB现象的初始海温误差的主要模态, 指出该模态在热带印度洋上表现为东-西偶极子型, 这和前人研究中最容易导致WPB现象的初始海温误差模态相似. 当在热带印度洋上叠加这些初始海温误差后, 热带太平洋上出现了海表温度异常和风场异常, 进而通过大气桥和印尼贯穿流的作用影响热带印度洋, 使之在夏季出现了东-西偶极子型的海表温度异常, 该异常在Bjerknes作用下快速发展, 加强, 最终导致SPB现象的发生.     

鄂西地区早期人类和巨猿生存环境研究

本文重点研究了湖北建始高坪龙骨洞早期人类和巨猿生存时期的气候和环境。通过孢粉、氧化物、磁化率、哺乳动物化石研究表明,高坪地区在早更新世早期气候比较温暖湿润,但存在较大幅度的波动,植被为针叶-阔叶混交林。古人类生存时的气温比现今高,但降雨量比现今少,而且在1.95~2.14MaBP和2.15MaBP发生两次比较明显的降温事件,降温幅度可达5~9℃。     

青海驼路沟钴(金)矿床成矿物质来源的黄铁矿氦氩硫铅同位素示踪

为查明青海驼路沟新型独立钴(金)矿床的成因和成矿物质来源,文章对矿区发育的块状、条带状和浸染状黄铁矿矿石进行了黄铁矿流体包裹体氦氩同位素和黄铁矿硫、铅同位素测试。结果表明,不同类型矿石的成矿流体氦、氩同位素组成基本一致,3He/4He介于0.10~0.31Ra(平均0.21Ra),40Ar/36Ar比值为302~569(平均373),反映钴矿化流体主要来源于在赋矿岩系中深循环的大气降水;矿石黄铁矿硫同位素值分布集中且接近于零,δ34S变化于-4.5‰~+1.5‰,集中在-1.8‰~-0.2‰,显示深部来源;矿石铅以高放射性成因为特征(206Pb/204Pb>19.279、207Pb/204Pb>15.691、208Pb/204Pb>39.627),且自地层围岩→区域早古生代火山岩→矿石依次明显增大,可能指示高放射性成因矿石铅主要是由以深循环大气降水来源为主的热液不断从围岩地层中淋取而来。     

土壤环境中化学定时炸弹的研究现状与展望

土壤环境中的化学定时炸弹对生态环境乃至人类自身危害极大,国内外均有大规模发生化学定时炸弹的实例,但是,由于其不易发现而常常被忽略,这将造成更为严重的后果。化学定时炸弹的分类问题比较复杂,目前较为妥当的做法是对各种分类方案进行有益的探索。化学定时炸弹的触爆机制研究十分重要,是进行地球化学灾害评价、预测和防治的基础;地球化学工程技术是将来预防和治理化学定时炸弹最主要手段。从科学的严密性和严肃性考虑,化学定时炸弹的概念应该由具有更深刻内涵和更广泛外延的“缓变型地球化学灾害”来替代。     

区域性中心城市辐射力及其评价--以郑州市为例

文章以郑州市为例,主要研究了区域性中心城市辐射力指标体系,采用层次分析法对所研究指标进行了赋值。以此为基础,用裂点法对郑州与周边相邻、相关城市的不同城市要素相互作用的范围进行了分析。找出了郑州作为区域性中心城市的影响区域、发展优势和不足,并就提高郑州辐射力的途径、措施进行了研究。     

慈溪市海岸变迁与滩涂围垦

根据历史和实测资料研究慈溪市海岸变化过程及其成因,结果表明:1)距今约2 500 a慈溪全境已形成南丘北海、中部为滨海平原的地貌格局;2)慈溪滩涂属于淤涨型滩涂,自宋代以来已修建11道海塘,新中国成立前海岸线平均每年向外推移25 m,之后则达到50~100 m;3)慈溪滩涂形成演变的影响因子包括地形约束、河川径流和人类活动等,近代人类活动的作用强度越来越大;4)西三闸附近涨潮潮位增高和庵东滩面淤高、扩大是西三潮沟形成的主要动力因素,其诱因是大规模的人类活动。西三潮沟的整治原则应是“因势利导,围涂治沟”。鉴于目前西三潮沟东西两侧都已完成直堤工程,建议在钱塘江连续丰水年时抛石筑坝,彻底截断西三潮沟。     

基于重庆主城区居民感知的城市意象元素分析评价

城市意象是诠释一个城市环境的重要指标,对其分析研究,有助于解读及评估城市景观的优劣、城市生活环境品质的高低,也有助于把握城市空间结构。本文首先在回顾国内外相关研究进展的基础上,根据重庆城市特色,将Lynch K的5类城市意象要素进行细分,并转换为地点场所意象元素;其次采用问卷调查法,对城市意象因子和意象元素分别进行评价,并绘制城市意象元素分布图,以了解居民对城市意象元素的印象与品质之间的关系,从而为重庆城市规划建设提供有益的参考。     

Inter-Comparison of 10-year Precipitation Simulated by Several RCMs for Asia

In phase Ⅱ of the Regional Climate Model Inter-comparison Project (RMIP) for Asia, the regional climate has been simulated for July 1988 through December 1998 by five regional climate models and one global variable resolution model. Comparison of the 10-year simulated precipitation with the observations was carried out. The results show that most models have the capacity to reproduce the basic spatial pattern of precipitation for Asia, and the main rainbelt can be reproduced by most models, but there are distinctions in the location and the intensity. Most models overestimate the precipitation over most continental regions. Interannual variability of the precipitation can also be basically simulated, while differences exist between various models and the observations. The biases in the stream field are important reasons behind the simulation errors of the Regional Climate Models (RCMs). The cumulus scheme and land surface process have large influences on the precipitation simulation. Generally, the Grell cumulus scheme produces more precipitation than the Kuo scheme.