Effects of adjusting cropping systems on utilization efficiency of climatic resources in Northeast China under future climate scenarios

Quantitatively evaluating the effects of adjusting cropping systems on the utilization efficiency of climatic resources under climate change is an important task for assessing food security in China. To understand these effects, we used daily climate variables obtained from the regional climate model RegCM3 from 1981 to 2100 under the A1B scenario and crop observations from 53 agro-meteorological experimental stations from 1981 to 2010 in Northeast China. Three one-grade zones of cropping systems were divided by heat, water, topography and crop-type, including the semi-arid areas of the northeast and northwest (III), the one crop area of warm–cool plants in semi-humid plain or hilly regions of the northeast (IV), and the two crop area in irrigated farmland in the Huanghuaihai Plain (VI). An agro-ecological zone model was used to calculate climatic potential productivities. The effects of adjusting cropping systems on climate resource utilization in Northeast China under the A1B scenario were assessed. The results indicated that from 1981 to 2100 in the III, IV and VI areas, the planting boundaries of different cropping systems in Northeast China obviously shifted toward the north and the east based on comprehensively considering the heat and precipitation resources. However, due to high temperature stress, the climatic potential productivity of spring maize was reduced in the future. Therefore, adjusting the cropping system is an effective way to improve the climatic potential productivity and climate resource utilization. Replacing the one crop in one year model (spring maize) by the two crops in one year model (winter wheat and summer maize) significantly increased the total climatic potential productivity and average utilization efficiencies. During the periods of 2011–2040, 2041–2070 and 2071–2100, the average total climatic potential productivities of winter wheat and summer maize increased by 9.36%, 11.88% and 12.13% compared to that of spring maize, respectively. Additionally, compared with spring maize, the average utilization efficiencies of thermal resources of winter wheat and summer maize dramatically increased by 9.2%, 12.1% and 12.0%, respectively. The increases in the average utilization efficiencies of precipitation resources of winter wheat and summer maize were 1.78 kg hm⁻² mm⁻¹, 2.07 kg hm⁻² mm⁻¹ and 1.92 kg hm⁻² mm⁻¹ during 2011–2040, 2041–2070 and 2071–2100, respectively. Our findings highlight that adjusting cropping systems can dominantly contribute to utilization efficiency increases of agricultural climatic resources in Northeast China in the future.     

南海夏季风爆发日期和强度的短期气候预测方法研究

利用合成及相关统计方法，研究冬季南海季风指数与850hPa风场、500hPa高度、海表温度、OLR等环境场的相互关系及其影响南海夏季风活动的可能机制。指出冬季南海季风指数及环境场的异常特征可以作为预测南海夏季风活动的前兆信号。在此基础上建立了预测南海夏季风爆发日期和强度的概念模型，1998－2001年的预测试验取得了较好成绩。     

2℃温升目标下中国排放配额分析

本文以国际社会当前所有主要分配方案为基础,研究了2℃温升目标下中国2011-2050年间排放配额,通过控制变量进一步分析了配额分配对于主要参数设置的敏感性。研究结果表明,在与2℃目标相兼容的RCP2.6路径下,到2050年中国CO₂累计排放配额范围为150～440 Gt CO₂,基于等人均排放的分配方式已经变得最不利于中国。为维护合理的排放权益,在气候谈判中中国必须坚持对历史排放的完整追溯。全球排放路径的设定对中国配额也有着非常显著的影响,当2050年全球配额比2010年排放减少40%～50%时,中国在2℃目标下CO₂累计配额范围为151～474 Gt CO₂,当减少50%～60%时为138～478 Gt CO₂,构成中国配额公平范围下限的方案受排放路径的影响更大。     

基于LCZ的城市热岛强度研究

城市热岛强度是城市热岛研究和应用中的一个重要度量指标,但其科学计算一直是该研究的难点。目前常用的基于气象站的城乡温差计算法,由于在代表城区与郊区温度的选择上存在困难,较难准确客观地计算热岛强度。为此,本文在LCZ分类体系的基础上,结合卫星遥感影像数据,将其应用于福州市的城市热岛研究中,以科学地计算城市热岛强度。研究表明,采用分层分类和人工目视解译相结合的方法能较好地实现LCZ的遥感分类,并确定出分别代表城市和郊区的地表温度,据此计算得到2015年9月27日福州的城市热岛强度为6.73 ℃,热岛效应十分显著。进一步将分类结果与遥感地表温度影像叠加,可有效地区分各地类的热特性,全面反映城市热岛的分布状况。     

河北平原三河市S9钻孔第四纪孢粉记录及其气候指示意义

为探讨更新世以来河北平原东部植被演化和气候变化特征,研究分析了大厂凹陷S9钻孔的孢粉植物群。根据S9钻孔中孢粉的分布,自下而上划分了6个孢粉组合,组合I和组合II为以针叶树为主的针阔叶混交林,组合IV—IV为疏林草原植被,整体为稀树草原型植被环境。根据孢粉组合的变化特征,还原了研究区更新世以来的气候变化规律: 研究区在早更新世气候温暖半干旱; 中更新世早期气候变冷,之后气候总体呈变暖变干旱的趋势; 晚更新世早期气候持续变暖,由湿润向干旱转变。研究区的孢粉演化模式与我国中北部许多地区的植被演化模式相似,同时与东亚、北太平洋以及南半球的气候变化特征表现出了较好的一致性。     

1970—2016年阿尔金山冰川长度变化

长度是冰川的重要几何参数,对于认识冰川动态特征和模拟冰川厚度具有重要价值.基于阿尔金山第一次和第二次冰川编目数据及Landsat OLI遥感影像,利用冰川中流线方法提取了阿尔金山1970年、2010年和2016年的冰川长度数据,并结合气象资料分析了冰川长度对气候变化的响应.结果表明:2016年阿尔金山共有冰川507条,...     

2016年中国气候主要特征及主要天气气候事件

2016年,全国气候异常,极端天气气候事件多,暴雨洪涝、台风和风雹等气象灾害较突出,气候年景差。全国平均气温较常年偏高0.8℃,为1951年以来第三高;四季气温均偏高,其中,夏季气温为1961年以来同期最高。四季降水量均偏多,冬、秋季分别为1961年以来同期最多。全国平均年降水量730.0 mm,较常年偏多16%,为1951年以来最多。华南前汛期和西南雨季开始早;入梅早、出梅晚,梅雨期长,雨量多;华北雨季短,雨量多;华西秋雨短,雨量少。2016年,全国暴雨过程多,南北洪涝并发。登陆台风数量多、平均强度强。强对流天气多,损失偏重,北方风雹灾害突出。气温波动大,夏季高温影响范围广。秋、冬京津冀及周边地区霾天气频繁。其他灾害如干旱、低温冷冻害、雪灾和春季沙尘影响均偏轻。     

南海热带气旋的气候变化及强度预测方法研究

建立南海海域1949～2007年6～10月份热带气旋（以下简称TC）年、月频数和TC中心强度的历史资料统计文件,分析TC的年月变化。结果表明：近50年,TC具有10a左右的周期变化,1964～1974年和1985～1995年为南海两个强台风以上级别频发期,1997～2006年为TC频数少且强度弱的时期。同时TC强度的空间分布分析结果表明,中沙北部海域和东沙西部海域为强台风多发生区,各月TC强度分布特征明显不同,且其加强通道具有南-北-南阶段性变化。另外,通过分别对1949～2007年北半球500hPa高度场及海温场的格点资料和TC强度历史资料的相关计算,选取高相关格点,根据相关权重组成组合因子,构建二次型预测方程,做年月TC强度预测。预测检验结果显示,冬季的高度场和海温场对次年的TC强度预测效果良好。     

Snow cover area change and its relations with climatic variability in Kashmir Himalayas,India

Snowmelt makes an essential component of the hydrological system of Kashmir Himalayas. The present study was carried out to examine the status of Snow Cover Area (SCA) using Moderate Resolution Imaging Spectroradiometer (MODIS) 8-day Snow Cover Product between 2000 and 2016. The intra- and inter-annual variability in SCA and in meteorological parameters was observed and various statistical tests were used to study the interrelationship. Results of statistical analysis indicate decrease in maximum temperature (?0.05 °C/year) and minimum temperatures (?0.02 °C/year) while rise in precipitation (19.13 mm/year). It also showed an increase in annual mean SCA (43.5 sq km) during the study period. The analysis was also carried out on a seasonal basis. The results revealed that in Kashmir Himalayas, climate plays a dominating role in controlling the SCA. The results depict the short-term fluctuations in SCA and show the magnitude of change between two successive values being very large in SCA.