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。      

Duplex equilibria of Ural circulation anomalies

Atmospheric circulation anomalies over the Ural Mountains are crucial indicators of the anomalous downstream weather and climate over East Asia. Here, we provide a new perspective on the mechanism of Ural circulation anomalies. We use a simple theoretical model to determine that the relationship between the solar forcing and three Ural circulation patterns, namely, neutral type, trough anomaly and ridge anomaly, is a nonlinear relationship following the supercritical pitchfork bifurcation theory. The theory predicts that when the total solar irradiance (TSI) is below a critical value, trough and ridge anomalies represent duplex equilibria and are equally likely to occur at the same TSI. Based on 180 winter months record, we have estimated the bidimensional probability density of TSI and the monthly mean geopotential height at 500 hPa or zonal wind at 850 hPa over the Ural Mountains. Results show that Sc = 1360.9 W m−2 is a critical value of TSI, the neutral type pattern is the single circulation regime when TSI > Sc, whereas trough and ridge anomaly patterns are duplex circulation regimes when TSI < Sc. Besides, when TSI < Sc, during the same TSI range, trough and ridge anomaly events occur at nearly the same frequencies. These results generally agree with the theoretical model. We demonstrate that trough and ridge anomalies, as duplex equilibria, result from the large-scale zonal flow interacting with the Ural Mountains. Low TSI tends to strengthen the large-scale zonal flow over the Ural Mountains, hence inducing either a trough anomaly or ridge anomaly.     

A new DRP-4DVar-based coupled data assimilation system for decadal predictions using a fast online localization technique

Climate Dynamics - A new coupled data assimilation (CDA) system based on dimension-reduced projection four-dimensional variational data assimilation (DRP-4DVar) for decadal predictions is developed...     

2012年桂西北一次地面人工增雨作业天气条件的分析和捕捉

以百色市田林县一次降雨过程的人工增雨作业天气和作业实况作为研究对象,对相应天气形势和物理量场进行剖析并对增雨效果进行检验。得出:在短波槽、切变线和弱冷空气为主的中低层天气系统影响下,低层水汽充足,上升运动的加剧及弱冷空气的入侵可激发降雨的产生;在降雨初期对液水含量大,冰晶含量偏低的冷云及时进行人工催化作业,可收到明显的增雨效果。     

国家级决策气象服务需求变化分析

为进一步了解国家级决策气象服务需求变化情况,通过调查问卷方式,收集国家级决策气象服务用户对决策气象服务工作的有关意见,结合2018年决策气象服务具体数据,分析党中央和国务院机构调整后,决策对象对气象灾害的关注特点以及对气象服务需求的变化。据此提出决策气象服务供给侧改革建议,1） 调整决策气象服务业务流程,优化决策气象服务产品内容。2） 推动发展新一代气象服务信息系统,提高决策气象服务技术能力。3） 推动建立与重点部门的沟通对接机制,为重点部门提供定制化、模块化决策气象服务信息支撑,实现用户向制作方的反馈机制。     

西宁曹家堡机场雷暴统计特征分析

基于2006—2015年西宁曹家堡机场的雷暴观测资料,从雷暴日（次）数、持续时间、初现方位、伴随天气现象和雷暴初终日特征方面对该高原机场的雷暴特征进行统计分析。结果表明,曹家堡机场年平均雷暴日数为34.7 d,主要发生在5—9月,夏季是该机场雷暴的集中爆发期;雷暴具有明显的日变化特征,集中发生在午后至夜间（16—22时）,持续时间在2 h以内;雷暴初现方位以偏西、偏北为主,偏西、偏北的对流云团发展是该机场飞行保障的关注重点;雷暴伴随天气现象以干雷暴和小阵雨为主,而少数伴有中、大阵雨的强雷暴主要发生在夏季;雷暴初终日平均间隔为173.2 d,并且初雷能充分体现该机场的典型雷暴特征。     

鄱阳湖区风电场风电功率预报研究

风力发电作为一种无污染可再生的能源,已逐渐成为许多国家能源战略可持续发展的重要组成部分。风电场风能预报是风力发电开发中的关键技术问题。为研究鄱阳湖区风力发电预报技术,采用中尺度模式WRF和微尺度模块CALMET对鄱阳湖区长岭风电场进行了200 m水平分辨率风能预报,并根据长岭机组理论功率曲线表和实测数据拟合出理论和实际发电机组功率曲线模型及平均有功功率与发电量模型。根据WRF+CALMET模式预报风速及建立的发电机组功率曲线模型和平均有功功率与发电量模型,预报了长岭风电场发电量。结果表明:长岭风电场23座风机逐小时风速预报值与观测值相关系数为0.42~0.61,均方根误差为2.59~3.68,相对误差为-13.7%~17.4%;对整个风场,预报风速与观测风速的相关系数为0.55,均方根误差为2.8,相对误差为-4.79%。实测发电量值高于预报值,平均偏大39.7 kW,相对误差为-12.6%,预报值与实测值相关性较好,相关系数达到0.52。总体来说,根据中尺度数值模式预报的风速结合风功率、发电量模型预测出的发电量与实测值较为接近,但各月差异性较大。     

世界各国静止气象卫星发展综述

首先阐述了美国、欧洲气象卫星组织(EUMETSAT)、日本静止气象卫星的发展历史,从自旋稳定到三轴稳定,从单一载荷到多载荷并行工作,新一代的静止气象卫星的时间、空间和光谱分辨率都大幅提高,然后重点介绍了我国静止气象卫星风云二号和风云四号,相比于自旋稳定的风云二号气象卫星,风云四号卫星的功能和性能实现了跨越式的发展,接着简单介绍了俄罗斯、印度和韩国等其他国家静止气象卫星的发展状况,最后总结了不同时期各国静止气象卫星的发展特点,这对我国后续静止气象卫星的规划和研制有重要参考意义。     

宜春地区三类典型天气的风廓线雷达产品特征分析

选取江西省宜春市晴空、弱降水、强降水三类天气过程个例,结合天气形势、雷达回波、气象要素等资料,对比分析了风廓线雷达产品特征。结果表明：（1）在晴空天气背景下,风廓线雷达探测高度低,水平风速小,垂直风速正负值交替出现,大气折射率结构常数（Cn2）值最小。（2）在稳定性弱降水天气背景下,大气呈稳定状态,风廓线雷达探测高度随降水的产生而逐渐抬升,高低层有明显的风速切变,850 hPa赣南至赣东北有西南急流穿过,赣北有切变线存在,利于降水产生,垂直风速因降水影响出现朝向雷达正速度,Cn2值比晴空时大。（3）在具有产生强对流天气背景下,大气中对流强烈,风廓线雷达的水平风速增大,西南急流深厚且不断下沉,850-700 hPa有强烈的垂直切变,动力条件和水汽条件利于强降水产生,垂直风速表现为更大的朝向雷达正速度,Cn2值比弱降水时的大。     

The population structural transition effect on rising per capita CO2 emissions: evidence from China

ABSTRACT

The per capita CO₂ emissions (PCCE) of many developing countries like China have been rising faster than total CO₂ emissions, and display spatial divergence. Such temporal growth and spatial divergence will have a significant influence on efforts to mitigate CO₂ emissions. Given the research gap on the impact of the structural transition in population on PCCE, we constructed an econometric model using the dynamic panel method. The results reveal that the population structural transition has a significant nonlinear impact on PCCE, as the rate of population growth in China decelerates. Both demographic ageing and urban-rural migration have a stronger impact on PCCE than other factors. This effect, however, decreases beyond a certain threshold. An increase in the number of households due to urbanization and family downsizing has resulted in a positive effect on PCCE, without a threshold turning point. The research also finds that an increased share of the service sector in employment can reduce PCCE only if the sector employs more than 31.56% of the total employed population. Overall, these findings indicate that policymakers should pay attention to the prominence of the demographic structural transition for effective climate policy.

Key policy insights

• Policymakers should address rising per capita carbon emissions (PCCE) and their spatial divergence in future climate policies, not just total CO₂ emissions.

• The transitioning demographics of ageing and urbanization in China show a nonlinear, inverted U-shaped effect on PCCE instead of a continuously positive effect.

• Based on the nonlinear effect of employment structure on PCCE, policymakers should focus on the relationship between the structural transition of the economy and PCCE in future climate mitigation policies.