近40年中国区域的气候型变化与北半球大气环流特征10年际时空变化的关系

根据１８００－１９８９年（１１０年）的资料，分析研究了新加坡地区月平均和年平均降雨量的一些特征。主要结论是：新加坡年平均降雨量存在准２－６年和１８年的周期振荡；亚洲季风以及ＥＮＳＯ对新加坡降雨量有明显的影响。新加坡年雨量的谷值出现在西南季风期而峰值在东北季风期。在Ｅｌ Ｎｉｎｏ年，新加坡降雨量多为负距平；而在反Ｅｌ Ｎｉｎｏ年，新加坡降雨量多为正距平。     

近海海面油类漂流扩散的研究和预测实践

根据珠江口气象站风速与潮汐站潮位资料，对1955－1998年12次El Nino过程的珠江口季风强度与海平面变化特点进行合成分析，结果表明，El Nino发生前一年冬季，珠江口冬季平均风速较常年值大0．4m/s,El Nino发生当年，月平均风速也普遍大于常年，而月平均海平面则普遍较常年偏低，其中10与11月份负距平为6cm左右。东亚地区的季风异常对珠江口海平面异常有着重大的影响。     

1997/1998年ENSO过程与热带大气季节内振荡

根据珠江口气象站风速与潮汐站潮位资料,对1955～1998年12次El Nino过程的珠江口季风强度与海平面变化特点进行合成分析,结果表明,El Nino发生前一年冬季,珠江口冬季平均风速较常年值大0.4 m/s,El Nino发生当年,月平均风速也普遍大于常年,而月平均海平面则普遍较常年偏低,其中10与11月份负距平为6 cm左右。东亚地区的季风异常对珠江口海平面异常有着重大的影响。     

赤道西太平洋-印度洋海温异常对亚洲夏季风的影响

本文采用了p-σ五层原始方程模式模拟并研究了赤道西太平洋-印度洋海温距平场对亚洲夏季风的影响,计算了四种不同的海温距平试验方案。试验结果表明赤道西太平洋海温正距平使对流层下层的印度低压明显加强,副高北挺,季风槽加深,同时加强了对流层上层的反气旋环流。赤道西印度洋暖海温的模拟结果与赤道西太平洋暖海温对上述系统的影响相反,而赤道西印度洋冷海温对季风环流的影响与赤道西太平洋暧海温的影响一致。试验进一步表明赤道西太平洋-印度洋海温距平的纬向梯度方向对亚洲夏季风的影响是主要的,这一结论与实际观测结果一致。本文进一步讨论了赤道海温距平对越赤道气流、印度洋赤道东-西纬向环流和非绝热加热场的影响,结果都表明赤道西太平洋海温正距平和赤道西印度洋海温负距平的模拟特征与反El Nino年亚洲夏季环流特征类似,而赤道西印度洋海员正距平的模拟特征与El Nino年亚洲夏季坏流特征类似。     

1998年南海西南季风活动的初步分析

利用NCEP再分析资料和OLR、SST观测数据,分析了1998年南海西南季风的建立日期、强度的多时间尺度变化特征、与海面温度的相互作用以及对广东降水的影响.得出南海西南季风建立的日期为5月17日(5月4候).1998年为弱季风年,OLR具有1个月左右的振荡周期,西南风具有半个月左右的振荡周期.孟加拉湾地区季风和105°E越赤道气流是南海季风低频变化的重要策源地.1998年南海季风弱,主要是由于初春赤道东太平洋海温正距平,并导致南海-阿拉伯海海温正距平的结果.     

热带海温变化与高原季风发展

利用NOAA长波辐射OLR，NCEP/NCAR再分析格点资料，探讨了热带太平洋、印度洋海温等环境场变化与高原季风发展的联系。揭示了春季孟加拉湾和南海以及西太平洋暖池附近海表增温、赤道东太平洋降温有利于高原夏季风发展。分析了高原季风强弱年同期和前期SST场、风场和OLR场演变特征。结果表明，高原季风强弱年热带环境场存在明显差异。高原夏季风发展时SSTA从春季到夏季, 孟加拉湾经南海到西太平洋SST呈正距平, 赤道中东太平洋SST负距平发展, 表现为La Ni?a特征。反之，高原夏季风减弱时SSTA在孟加拉湾和南海地区SST呈负距平，东南太平洋SST正距平发展。表现为El Ni?o特征。     

影响东亚季风环流异常因子的敏感性试验

文章使用改进了的OSU全球气候模式，动态地使用厄尔尼诺年（1972年）实际下垫面温度月距平资料，对太平洋海面温度异常以及太平洋中不同关键区海面温度异常进行了敏感性试验。数值试验结果表明:El Nino实际海温时空异常，特别是关键区海面温度异常，引起了东亚季风环流的异常变化，出现了干旱的环流形势。无论赤道中太平洋或是赤道东太平洋的海面温度异常都是敏感的影响因子，对预报有一定的指示意义。     

热带西太平洋暖池次表层暖水的起源--对1997/1998年ENSO事件的分析

分析了从1955～1999年45年热带、副热带太平洋地区次表层温度距平资料,在分析沿赤道距平极值曲面的深度分布后,认为它基本接近气候温跃层的深度分布.由此分析了1994～1999年该曲面上温度距平的演变发现:1997/1998年El Nino产生时,在热带西太平洋暖池次表层(160 m附近)的温度正距平,是从1994/1995年El Nino在Nino 3区的最大正距平信号传播或演变过来的,整个最大正距平信号的传播轨迹形成一似"8"字的形状.与此同时,当正的温度距平开始从暖池向东传播时,一最大温度负距平信号在Nino 3区出现,并伴随赤道最大正距平信号的东传,在其北部(5～10°N)向西传,然后又向东传最后到达Nino 3区,其传播轨迹形成一扁"0"字形状.分析表明,1997/1998年这次完整的El Nino/La Nina事件主要是在热带流系的温跃层附近形成并传播的.     

El Nio事件与番禺降水的相关性分析

采用X^2检验方法,统计分析番禺地面气象站1961～2006年的逐月降水资料与El Nino现象的关系。结果表明：两类El Nino事件与番禺年降水量有密切关系,Ⅰ类El Nino事件与番禺年降水量呈强的正相关,降水增加量平均为26．63％,而Ⅱ类El Nino事件与番禺年降水量呈负相关,降水减少量平均为11．46％。从季节分布来看,两类El Nino事件对锋面降水和季风过渡季节降水影响较小,而对汛期降水影响较大。两类事件对降水影响的差异主要通过西太平洋副高脊线位置的差异表现出来：Ⅰ类El Nino事件影响年,4～6月副高脊线位置较常年偏南,7、8月偏北;Ⅱ类El Nino事件影响年,4～6月副高脊线位置较常年偏北,7、8月偏南。     

厄尔尼诺和拉尼娜事件循环演变过程的资料分析研究

利用1955-2000年热带、副热带太平洋地区次表层温度距平资料,构造了温度距平极值深度分布曲面图,它很接近20°温度面的深度分布,因此有理由认为这一深度曲面很接近热带温跃层的深度面。在温度距平极值深度曲面上,分析了20世纪60年代后期以来所有El　Nino/La Nina事件正/负海温距平信号的分布和传播“轨迹”,发现如果以暖池次表层作为起点,则一般来说,暖水或冷水先是沿赤道极值深度面向东、向上传播或运动,到达赤道东太平洋海盆边界附近后,在那里停留几个月,然后转北运动,在北纬10度左右再折向西运动到西太平洋转向南返回到暖池,即在赤道北侧形成闭合回路。温度距平运动一圈需时2-4年。如果暖（冷）水的温度距平都很强,就会在2-4年的时间上出现两次相邻的El　Nino（La Nina）事件,但可能是由于大气或海洋环境条件不合适,温度距平的强度在运动过程中有时会减弱,就不能形成El　Nino（La Nina）事件,但暖（冷）水运动的“轨迹”仍可辨认。由于暖、冷水绕环路的运动交替出现,El Nino（La　Nina）爆发前,在赤道西太平洋出现正（负）距平信号的同时,在东太平洋北纬10度左右会有负（正）距平信号出现,并且当正（负）距平信号向东传播时,负（正）距平信号向西传播,在赤道上表现为2-4年间隔的El Nino（La Nina）交     

生态系统在全球变化中的调节作用

讨论在全球变化的背景下,生态系统对全球变化的调节作用.首先论述陆地生态系统对全球变化的调节作用,主要包括陆地生态系统对大气成分的调节以及对全球气候的调节;其次,论述水生生态系统对全球变化的调节作用,主要包括淡水生态系统对全球变化的调节作用以及海洋生态系统对全球变化的调节作用;最后,论述湿地生态系统对全球变化的调节作用,主要包括湿地生态系统对生物多样性保护的功能,湿地对全球变化的元素调节作用以及湿地对气候和水文的调节.       

我国主要水稻雄性不育系的光温特性研究

根据10个水稻雄性不育系的生育期及期间的温度和日长资料，研究了它们的光、温生态特性。用通径分析方法，分析了决定各不育系生育期变化的决策变量结果表明：晚籼及晚粳类型不育系的感光性强，中籼类型不育系的感光性弱到中等，早籼类型不育系的感光性一般都弱。10个雄性不育系中感温性弱的只占少数，感温性属弱到中强的品种占多数。除HS-3和SE21S的生育期决策变量为日长外，其他各不育系的决策变量均为温度。     

Comparative study of performance of different weather forecast models at specific sites in northwest Himalaya in India

Independent test results of four different weather forecast models [climatological, persistence, analogue, and regional mesoscale weather simulation (MM5) model] have been compared for four past winters (winter 2003–2004 to winter 2006–2007) for qualitative weather (snow day/no snow day) and quantitative categorical snowfall prediction at six different areas in northwest Himalaya (NW-Himalaya) in India. Weather forecast guidance provided by the MM5 model at 10 km resolution was taken for the study. Test results of MM5 and the analogue model were compared for a limited number of days (with irregular gaps) due to lack of availability of MM5 weather forecast guidance for complete winter periods. Forecasts based on the persistence, climatological, and analogue models were compared for day 1 predictions only. Performance of the analogue model for qualitative weather prediction was found to be comparable to that of the MM5 model for day 1 prediction. However, for day 2 and day 3, performance of the MM5 model was found to be marginally better than that of the analogue model. Marginal difference in overall accuracy of the analogue and MM5 models was found for quantitative categorical snowfall prediction for day 3. The quantitative categorical snowfall forecast error of the MM5 model was found to be greater than that for the analogue model for all three days. Comparative study of the performance of the climatological, persistence, and analogue models showed that the analogue model performs better than the persistence and climatological models for day 1 predictions. The results of this study suggest that the analogue model shows some capability for weather prediction and, along with the MM5 model, could be a useful tool for weather forecasters. Comparative study of the performance of the MM5 model at high resolution (about 2–3 km) and the analogue model for complete winter period may provide some interesting and fruitful results.     

Allocating planetary boundaries to large economies: Distributional consequences of alternative perspectives on distributive fairness

The planetary boundaries (PBs) framework proposes global quantitative precautionary limits for human perturbation of nine critical Earth system processes. Together they define a global safe operating space for human development. Translating the global limits to the national level increases their policy relevance. Such translation essentially divides up the global safe operating space. What is considered fair distribution is a political decision and there is no globally agreed principle that can be applied. Here, we analyse the distributional consequences of alternative perspectives on distributive fairness. We scale the global limits of selected PBs to resource budgets for the EU, US, China and India, using three allocation approaches from the climate change literature. Furthermore, we compare the allocated budgets to 2010 environmental footprints of the four economies, to assess their performance with respect to the selected PBs. The allocation approaches are based on (1) current shares of global environmental pressure (‘grandfathering’); (2) ‘equal per capita’ shares, and (3) ‘ability to pay’ to reduce environmental pressure. The results show that the four economies are not living within the global safe operating space. Their 2010 environmental footprints are larger than the allocated budgets for all approaches and parameterisations analysed for the PBs for climate change and biogeochemical flows, and, except for India, also for the PB for biosphere integrity. Grandfathering was found to be most favourable for the EU and US for all PBs, and ability to pay as least favourable. For climate change and biogeochemical flows, ability to pay even resulted in negative resource budgets for the two economies. In contrast, for China and India, equal per capita allocation and ability to pay were most favourable. Results were sensitive to the parameterisation. Accounting for future population growth in the equal per capita approach benefits India, with lower budgets for the EU, US and China, while accounting for future economic growth in ability to pay benefits the EU and US, with lower budgets for China and India. Our results underline the need for all four economies to act, while hinting at diverging preferences for specific allocation approaches. The methodology and results may help countries to define policy targets in line with global ambitions, such as those defined by the Sustainable Development Goals (SDGs), accounting for differences in countries’ circumstances and capacities. Further attention is required for PB-specific allocation approaches and integration of biophysical and socioeconomic considerations in the allocation.     

气象探空测风软件系统的标准化研究

高空气象观测是气象业务的基础，是天气预报、气候分析、科学研究和国际交换的气象情报和资料的主要来源。气象探空测风软件是高空气象站探空测风综合探测系统的重要组成部分，它包括了一系列严密的处理方法，同时又融汇了日益发展的计算机处理技术，其规范化、标准化程度直接影响着新一代探空系统效益的发挥。该文介绍了高空气象台站探空测风标准化软件系统的设计思路，重点在软件需求、系统结构、实现技术等方面进行阐述，旨在设计出适合于各种高空探测系统，方便实用的“标准化”探空测风软件，为进一步的软件开发工作奠定坚实的基础。     

Evaluation of the CORDEX-Africa multi-RCM hindcast: systematic model errors

Monthly-mean precipitation, mean (T_AVG), maximum (T_MAX) and minimum (T_MIN) surface air temperatures, and cloudiness from the CORDEX-Africa regional climate model (RCM) hindcast experiment are evaluated for model skill and systematic biases. All RCMs simulate basic climatological features of these variables reasonably, but systematic biases also occur across these models. All RCMs show higher fidelity in simulating precipitation for the west part of Africa than for the east part, and for the tropics than for northern Sahara. Interannual variation in the wet season rainfall is better simulated for the western Sahel than for the Ethiopian Highlands. RCM skill is higher for T_AVG and T_MAX than for T_MIN, and regionally, for the subtropics than for the tropics. RCM skill in simulating cloudiness is generally lower than for precipitation or temperatures. For all variables, multi-model ensemble (ENS) generally outperforms individual models included in ENS. An overarching conclusion in this study is that some model biases vary systematically for regions, variables, and metrics, posing difficulties in defining a single representative index to measure model fidelity, especially for constructing ENS. This is an important concern in climate change impact assessment studies because most assessment models are run for specific regions/sectors with forcing data derived from model outputs. Thus, model evaluation and ENS construction must be performed separately for regions, variables, and metrics as required by specific analysis and/or assessments. Evaluations using multiple reference datasets reveal that cross-examination, quality control, and uncertainty estimates of reference data are crucial in model evaluations.     

Evaluation of pan evaporation modeling with two different neural networks and weather station data

This study evaluates neural networks models for estimating daily pan evaporation for inland and coastal stations in Republic of Korea. A multilayer perceptron neural networks model (MLP-NNM) and a cascade correlation neural networks model (CCNNM) are developed for local implementation. Five-input models (MLP 5 and CCNNM 5) are generally found to be the best for local implementation. The optimal neural networks models, including MLP 4, MLP 5, CCNNM 4, and CCNNM 5, perform well for homogeneous (cross-stations 1 and 2) and nonhomogeneous (cross-stations 3 and 4) weather stations. Statistical results of CCNNM are better than those of MLP-NNM during the test period for homogeneous and nonhomogeneous weather stations except for MLP 4 being better in BUS-DAE and POH-DAE, and MLP 5 being better in POH-DAE. Applying the conventional models for the test period, it is found that neural networks models perform better than the conventional models for local, homogeneous, and nonhomogeneous weather stations.     

青岛地区气候变化对动物物候变化的影响研究

基于青岛地区气候和动物物候观测资料,分析了气候和动物物候变化特征及两者之间的相关关系。1986—2016年青岛地区蚱蝉始鸣期表现为小幅波动变化,蟋蟀的始鸣期则呈先显著推迟后显著提前的变化趋势,青蛙和家燕的始鸣期均有显著推迟的趋势。以上4种动物的绝鸣期均显著提前,间隔期均明显缩短。受全球气候变暖的影响,青岛地区气温表现为显著增温趋势,日照时数和平均风速均呈显著减小趋势,而降水对气候变暖的响应较小。日照时数的减少对4种动物物候期的影响最大,有利于4种动物绝鸣期的提前和间隔期的缩短以及家燕始鸣期的推迟;蟋蟀和青蛙的物候期对气温有明显的响应,蚱蝉和家燕对气温的变化不敏感;风速的减小有利于蚱蝉、家燕绝鸣期的提前和间隔期的缩短,但却导致青蛙绝鸣期的推迟和间隔期的延长。多种气候因子共同作用决定了动物物候期的变化。除气候条件对动物物候期变化的影响之外,动物之间食物链的制约关系在一定程度上也对物候变化有影响。     

On the application of the Gaussian model for multiple industrial sources for selected centers in South India

Effective environmental planning is essential for any developing urban region. In the present article, the Gaussian model is applied for multiple industrial sources for the months of January, April, July and October, for the cities Hyderabad, Mangalore and Nagpur, to study the spatial distribution of sulphur dioxide concentration. The validity of the model is tested with the actual observations for two stations.     

Comparison of Winter Precipitation Measurements by Six Tretyakov Gauges at the Valdai Experimental Site

Analyses of long-term (1991–2010) intercomparison data quantify the consistency of winter precipitation observations by six identical Tretyakov gauges at the Valdai research station in Russia. Relative to the standard Tretyakov gauge, the mean catch ratios are 97 to 106% for dry snow, 94 to 104% for wet snow, 87 to 109% for blowing snow, 96 to 103% for mixed precipitation, and 98 to 101% for winter rain. The differences between the highest and lowest mean catches are about 10 to 11% for snow, 7% for mixed precipitation, and 3% for rain. On average, this difference is about 0.2?mm over the 12-hour observation period. The catch difference for blowing snow is much higher, up to 22%, or an average of 0.6?mm per observation. Comparisons of 12-hour observations show better consistency in gauge performance for low snowfall events and a large variation in gauge catch for high snowfall events. The differences in 12-hour snow catches are mostly less than 2?mm among the six gauges. The differences in the 12-hour observations are less than 1% for rain and 4% for mixed precipitation. Close linear relationships exist between the 12-hour gauge observations for all precipitation types. The maximum differences in gauge snow catches increase very weakly with wind speed, and higher differences are associated with warmer temperatures, from ?5°C to 0°C. There is, however, no significant relationship between the maximum catch difference and the mean wind speed or temperature over the 12-hour period.