高精度温度采集系统设计

针对高精度温度采集的需求,设计了一个以低功耗单片机MSP430F149作为核心处理器,以PT100铂电阻为传感器的温度采集系统。为了提高系统的复用性,采用精密电阻法,从硬件设计上消除了恒流源电流漂移以及A/D转换电路参考电压精度对温度测量数据的影响。重点描述了系统设计方案,详细说明了恒流源选择的原则、电流偏差的消除以及AD7792转换器的操作步骤。实验结果表明,温度测量精度优于0.1 ℃。对比试验表明,系统稳定性良好,已应用于业务产品中。     

A comparison of the effects of interannual Arctic sea ice loss and ENSO on winter haze days: Observational analyses and AGCM simulations

This study compares the impacts of interannual Arctic sea ice loss and ENSO events on winter haze days in mainland China through observational analyses and AGCM sensitivity experiments. The results suggest that (1) Arctic sea ice loss favors an increase in haze days in central–eastern China; (2) the impact of ENSO is overall contained within southern China, with increased (reduced) haze days during La Niña (El Niño) winters; and (3) the impacts from sea ice loss and ENSO are linearly additive. Mechanistically, Arctic sea ice loss causes quasi-barotropic positive height anomalies over the region from northern Europe to the Ural Mountains (Urals in brief) and weak and negative height anomalies over the region from central Asia to northeastern Asia. The former favors intensified frequency of the blocking over the regions from northern Europe to the Urals, whereas the latter favors an even air pressure distribution over Siberia, Mongolia, and East Asia. This large-scale circulation pattern favors more frequent occurrence of calm and steady weather in northern China and, as a consequence, increased occurrence of haze days. In comparison, La Niña (El Niño) exerts its influence along a tropical pathway by inducing a cyclonic (anticyclonic) lower-tropospheric atmospheric circulation response over the subtropical northwestern Pacific. The northeasterly (southwesterly) anomaly at the northwestern rear of the cyclone (anticyclone) causes reduced (intensified) rainfall over southeastern China, which favors increased (reduced) occurrence of haze days through the rain-washing effect.     

A Climate Prediction Method Based on EMD and Ensemble Prediction Technique

Observed climate data are processed under the assumption that their time series are stationary, as in multi-step temperature and precipitation prediction, which usually leads to low prediction accuracy. If a climate system model is based on a single prediction model, the prediction results contain significant uncertainty. In order to overcome this drawback, this study uses a method that integrates ensemble prediction and a stepwise regression model based on a mean-valued generation function. In addition, it utilizes empirical mode decomposition (EMD), which is a new method of handling time series. First, a non-stationary time series is decomposed into a series of intrinsic mode functions (IMFs), which are stationary and multi-scale. Then, a different prediction model is constructed for each component of the IMF using numerical ensemble prediction combined with stepwise regression analysis. Finally, the results are fit to a linear regression model, and a short-term climate prediction system is established using the Visual Studio development platform. The model is validated using temperature data from February 1957 to 2005 from 88 weather stations in Guangxi, China. The results show that compared to single-model prediction methods, the EMD and ensemble prediction model is more effective for forecasting climate change and abrupt climate shifts when using historical data for multi-step prediction.     

NUMERICAL SIMULATION OF THE IMPACT OF LATENT HEAT FLUX ANOMALY IN THE TROPICAL WESTERN PACIFIC ON PRECIPITATION OVER SOUTH CHINA IN JUNES

Based on composite analysis and numerical simulations using a regional climate model （RegCM3）, this paper analyzed the impact of the LHF anomaly in the tropical western Pacific on the precipitation over the south of China in June. The results are as follows. （1） Correlation analysis shows that the SC precipitation in June is negatively correlated with the LHF of the tropical western Pacific in May and June, especially in May. The SC precipitation in June appears to negatively correlate with low-level relative vorticity in the abnormal area of LHF in the tropical western Pacific. （2） The LHF anomaly in the tropical western Pacific is a vital factor affecting the flood and drought of SC in June. A conceptual model goes like this： When the LHF in the tropical western Pacific is abnormally increased （decreased）, an anomalous cyclone （anticyclone） circulation is formed at the low-level troposphere to its northwest. As a result, an anomalous northeast （southwest） air flow affects the south of China, being disadvantageous （advantageous） to the transportation of water vapor to the region. Meanwhile, there is an anomalous anticyclone （cyclone） at the low-level troposphere and an anomalous cyclone （anticyclone） circulation at the high-level troposphere in the region, which is advantageous for downdraft （updraft） there. Therefore a virtual circulation forms updraft （downdraft） in the anomalous area of LHF and downdraft （updraft） in the south of China, which finally leads to the drought （flood） in the region.     

Estimating Sea-Level Allowances for Atlantic Canada using the Fifth Assessment Report of the IPCC

Abstract

Sea-level allowances at 22 tide-gauge sites along the east coast of Canada are determined based on projections of regional sea-level rise for the Representative Concentration Pathway 8.5 (RCP8.5) from the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5) and on the statistics of historical tides and storm surges (storm tides). The allowances, which may be used for coastal infrastructure planning, increase with time during the twenty-first century through a combination of mean sea-level rise and the increased uncertainty of future projections with time. The allowances show significant spatial variation, mainly a consequence of strong regionally varying relative sea-level change as a result of glacial isostatic adjustment (GIA). A methodology is described for replacement of the GIA component of the AR5 projection with global positioning system (GPS) measurements of vertical crustal motion; this significantly decreases allowances in regions where the uncertainty of the GIA models is large. For RCP8.5 with GPS data incorporated and for the 1995–2100 period, the sea-level allowances range from about 0.5?m along the north shore of the Gulf of St. Lawrence to more than 1?m along the coast of Nova Scotia and southern Newfoundland.     

NOx与NMHC的变化对O3 生成量的影响

利用LLA-C光化学反应机制,在NOx体积分数φ变化范围很广（1.75～350.0,单位为10-9,以下同）的条件下,选择18种NMHC与NOx的体积分数比（2.0～200.0）模拟分析在什么条件下NMHC的改变对臭氧生成量不大敏感而主要依赖于NOx的大小,同时给出相应条件下OH模拟值的变化。结果表明,OH峰值均出现在φ(NMHC/NOx)≈8.0。所找条件是φ(NOx)≤50.0时要求φ(NMHC/NOx)≥60.0;φ(NOx)>50.0时需要8.0≤φ(NMHC/NOx)≤28.0。相应O3生成量的最大误差小于20%。该条件正适合我国典型污染城市当前φ(NOx)水平和φ(NMHC/NOx)范围,可用于我国区域尺度空气质量模拟。与实测资料的对比还有待进一步开展。     

新型的决策气象服务系统

江苏省气象台近年来针对各级党政领导指挥生产建设和防灾减灾进行决策时对气象工作的更高要求,变革传统的文稿传统的文稿函发、电话口传、传真传送的落后服务手段,研制了新型的“气象信息服务系统”,以全方位和多层次的综合化服务方式和内容,由网络通读和计算机显示再加上多媒体技术等手段,主支、及时、准确、科学、高效地提高了决策气象服务的水平,较好的发挥了气象工作为各级党政领导的参谋和助手作用。     

珠穆朗玛峰北坡山谷太阳辐射和大气的特征与分析

2006年5月27日～6月30日HEST2006大气科学实验对珠峰北坡山谷的辐射(总辐射、净辐射)和温、湿度、风等进行了综合观测.沿珠峰北坡山谷布设了3个观测站,3个测站的辐射、温度、风都表现出明显的日变化规律,它们在08:00或09:00(地方时,下同)达到极大值.3个测站总辐射和净辐射的日变化都七匕较一致.从日变化最大值出现的时间来看,各站的辐射通量早于气温,气温早于风速.3个测站中任意2站之间辐射(总辐射、净辐射)最大值之比与温度和风速最大值之比均比较接近.因辐射状况、地形结构、大气温度等不同,远离珠峰区域的风一天之内多次改变风向,靠近珠峰区域则24h都为南风.珠峰北坡山谷不同区域风向风速变化存在明显时差,南风强于北风,且持续时间长.研究表明,辐射能量对于珠峰北坡大气运动具有重要的驱动作用,是控制和改变其大气运动方式最基本、最重要的因子.净辐射在不同区域风向转变或风速变化过程中起着决定性的作用.     

基于CMIP5模式的中国气候变化敏感性预估与分析

以CMIP5提供的26个全球气候系统模式的温度和降水数据为基础,采用区域气候变化指数(Regional Climate Change Index,RCCI)分析中国的不同区域对21世纪气候变化响应的敏感性。结果表明,三种排放情景(RCP 2.6、RCP 4.5、RCP 8.5)下,21世纪全期,气候变化最敏感的区域分布在西藏地区,其次为我国西北地区以及东北地区,气候变化敏感性最低的区域分布在我国内蒙古中东部、华北地区以及长江中下游一带,且高排放情景对应更高的气候变化敏感性。对RCCI指数贡献因子分析结果表明,对中国气候变化敏感性贡献的大小依次为Δσ_TΔσ_pΔRRWAF。冬夏两季温度变化的大值区与RCCI指数的大致区分布一致,RCCI大小的分布很大程度上由温度变化的敏感性决定。而夏季降水变化的大值区主要出现在西藏地区、华南地区和东北地区,冬季降水变化的大值区则主要出现在黄河以南长江以北的中原地区以及东北地区。     

华北及其邻区块体转动模式和动力来源

块体的转动是地壳中重要的构造运动形式。根据地质、地球物理和地震活动性等资料，可将华北及其邻区划分为３个亚板块，华北亚板块可进一步细分为多个级块体，这些不同级别的块体或多或少都显示出一定的刚体特性。根据地质构造、地震和古地磁测量等资料，详细地论细地论述了不同级块体的转动问题，即华北及其邻区的黑龙江、华北和华南等３个近东西向亚板块自老第三纪以来相对于新疆地区顺时针转动了１．６°～３．５°；华北亚板块内