清洁发展机制（CDM）造林再造林项目碳汇成本研究——以CDM广西珠江流域治理再造林项目为例

以清洁发展机制（CDM）广西珠江流域治理再造林项目为例,对项目及其5种造林模式临时核证减排量（temporary certified emission reduction,缩写为tCER）和长期核证减排量（long-term certified emission reduction,缩写为lCER）成本的动态变化进行了初步研究。结果表明：从项目期初到期末,整个项目及5种造林模式人工林的tCER成本均逐渐降低,其中项目成本由第一承诺期末的40.33 ￥/t CO₂降至最后承诺期末的13.34 ￥/t CO₂;lCER成本先降低后升高,在第一承诺期末均降至最小值,项目成本由第一承诺期末的40.33 ￥/t CO₂增加至最后承诺期末的105.27 ￥/t CO₂;各造林模式tCER和lCER成本均以枫香+杉木、枫香+马尾松较高,马尾松+荷木、马尾松+栎类较低,桉树最低;贴现率对项目tCER和lCER、桉树tCER、枫香+杉木lCER成本影响均较大,而对马尾松+栎类tCER和lCER成本影响均较小;对桉树一个轮伐期内的tCER成本进行了敏感性分析,单位面积碳贮量的变化对其影响较大;考虑木材收益时,项目期末tCER净现值为13.11 ￥/t CO₂,从中反映了该CDM项目实施是可行的。     

CINRAD/SB雷达回波强度定标调校方法

回波强度定标和调校方法是保障CINRAD/SB回波强度测量精度的关键技术,方法不当会导致回波强度测量误差增大,直接影响雷达定量估测降水产品的可靠性。为了满足回波强度测量误差在±1 dBZ范围内的技术要求,根据雷达气象方程,通过对CINRAD/SB接收机测试通道、主通道、天馈系统相关影响回波强度测量误差的因素进行分析,提出了从接收机动态范围和雷达参数调整、线性通道增益定标目标常数定标,到测试通道参数调整的回波强度定标工作流程。总结出以线性通道增益定标目标常数定标为基准,采用测试通道参数测量法或基准法调校,以保证发射功率和接收机动态范围变化导致的回波强度测量误差得到在线实时校正,提高了CINRAD/SB回波强度测量精度。从接收机测试通道、主通道、天馈系统及发射功率4个方面,给出了回波异常的分析和诊断流程。并提出在接收机保护器前端增加机外信号注入口和定标信号功率检测功能,以利于机内外回波强度定标对比校准和消除测试通道参数变化导致回波强度测量误差的建议。     

Aerosol characteristics during winter fog at Agra,North India

Simultaneous measurements on physical, chemical and optical properties of aerosols over a tropical semi-arid location, Agra in north India, were undertaken during December 2004. The average concentration of total suspended particulates (TSP) increased by about 1.4 times during intense foggy/hazy days. Concentrations of SO₄ ²⁻, NO₃ ⁻, NH₄ ⁺ and Black Carbon (BC) aerosols increased by 4, 2, 3.5 and 1.7 times, respectively during that period. Aerosols were acidic during intense foggy/hazy days but the fog water showed alkaline nature, mainly due to the neutralizing capacity of NH₄ aerosols. Trajectory analyses showed that air masses were predominantly from NW direction, which might be responsible for transport of BC from distant and surrounding local sources. Diurnal variation of BC on all days showed a morning and an evening peak that were related to domestic cooking and vehicular emissions, apart from boundary layer changes. OPAC (Optical properties of aerosols and clouds) model was used to compute the optical properties of aerosols. Both OPAC-derived and observed aerosol optical depth (AOD) values showed spectral variation with high loadings in the short wavelengths (<1 μm). AOD value at 0.5 μm wavelength was significantly high during intense foggy/hazy days (1.22) than during clear sky or less foggy/hazy days (0.63). OPAC-derived Single scattering albedo (SSA) was 0.84 during the observational period, indicating significant contribution of absorbing aerosols. However, the BC mass fraction to TSP increased by only 1% during intense foggy/hazy days and thereby did not show any impact on SSA during that period. A large increase was observed in the shortwave (SW) atmospheric (ATM) forcing during intense foggy/hazy days (+75.8 W/m²) than that during clear sky or less foggy/hazy days (+38 W/m²), mainly due to increase in absorbing aerosols. Whereas SW forcing at surface (SUF) increased from −40 W/m² during clear sky or less foggy/hazy days to −76 W/m² during intense foggy/hazy days, mainly due to the scattering aerosols like SO₄ ^2-.     

Current status of ENSO prediction skill in coupled ocean–atmosphere models

The overall skill of ENSO prediction in retrospective forecasts made with ten different coupled GCMs is investigated. The coupled GCM datasets of the APCC/CliPAS and DEMETER projects are used for four seasons in the common 22 years from 1980 to 2001. As a baseline, a dynamic-statistical SST forecast and persistence are compared. Our study focuses on the tropical Pacific SST, especially by analyzing the NINO34 index. In coupled models, the accuracy of the simulated variability is related to the accuracy of the simulated mean state. Almost all models have problems in simulating the mean and mean annual cycle of SST, in spite of the positive influence of realistic initial conditions. As a result, the simulation of the interannual SST variability is also far from perfect in most coupled models. With increasing lead time, this discrepancy gets worse. As one measure of forecast skill, the tier-1 multi-model ensemble (MME) forecasts of NINO3.4 SST have an anomaly correlation coefficient of 0.86 at the month 6. This is higher than that of any individual model as well as both forecasts based on persistence and those made with the dynamic-statistical model. The forecast skill of individual models and the MME depends strongly on season, ENSO phase, and ENSO intensity. A stronger El Niño is better predicted. The growth phases of both the warm and cold events are better predicted than the corresponding decaying phases. ENSO-neutral periods are far worse predicted than warm or cold events. The skill of forecasts that start in February or May drops faster than that of forecasts that start in August or November. This behavior, often termed the spring predictability barrier, is in part because predictions starting from February or May contain more events in the decaying phase of ENSO.     

山西省夏季年际气候异常研究2．北少（多）南多（少）雨型

采用EOF分解和合成分析方法研究了1960-2003年山西夏季降水异常之北少(多)南多(少)型(第二类雨型)和山西省气温的变化异常.结果表明,两者具有较好的对应关系.分析了第二类异常雨型的时空分布,并给出相应的典型年份.EOF时间系数变化特征揭示了山西夏季降水第二类雨型有显著的年际振荡.利用合成分析,从500hPa位势高度场、纬向风、850hPa风场、700hPa水汽场和水汽输送场等物理量场研究了山西夏季第二类雨型的环流异常特征.结果表明,第二类雨型与弱的东亚夏季风相关联,北多南少和北少南多是弱夏季风的不同表现.山西省夏季降水北多南少年副高呈带状分布,位置偏北,强度较强;中高纬度地区异常波列呈大圆路径分布,在高纬度地区存在纬向排列的- -波列,同时在东亚大陆沿岸存在经向排列的- -波列.并且华北北部有西风异常,北支锋区偏北,由西南向东北水汽输送较强.北少南多年与之相反.海温场分析表明,第二类雨型与中北太平洋海温异常紧密相关.     

Droughts and famines: The underlying factors and the causal links among agro-pastoral households in semi-arid Makueni district, Kenya

Famines are often linked to drought in semi-arid areas of Sub-Saharan Africa where not only pastoralists, but also increasingly agro-pastoralists are affected. This study addresses the interplay between drought and famine in the rural semi-arid areas of Makueni district, Kenya, by examining whether, and how crop production conditions and agro-pastoral strategies predispose smallholder households to drought-triggered food insecurity. If this hypothesis holds, then approaches to deal with drought and famine have to target factors causing household food insecurity during non-drought periods. Data from a longitudinal survey of 127 households, interviews, workshops, and daily rainfall records (1961–2003) were analysed using quantitative and qualitative methods. This integrated approach confirms the above hypothesis and reveals that factors other than rainfall, like asset and labour constraints, inadequate policy enforcement, as well as the poverty-driven inability to adopt risk-averse production systems play a key role. When linking these factors to the high rainfall variability, farmer-relevant definitions and forecasts of drought have to be applied.     

近46年西藏高原昼夜降水变化趋势

选取西藏地区18个气象站1961～2006年逐时降水资料,分析近46年昼夜降水的变化趋势。结果显示:近46年,西藏大部分地区各时段夜雨率均呈减少趋势,昼雨率呈增多趋势;夜雨天数冬半年各区域都呈增多趋势,年和夏半年东北部和藏西北地区呈增多趋势,其他区域呈减少趋势,而昼雨天数大部分地区年、季都呈增多趋势。昼、夜雨率和雨次的年代际变率较大,各区域年代际变化不一致,无明显的增减趋势;夜雨率冬半年出现异常最多,各区域年、季多为异常偏少。昼雨率冬、夏半年出现异常较多,年和夏半年多异常偏少,冬半年基本上为异常偏多;夜雨天数夏半年出现异常的最多,东部地区以异常偏少居多,中西部地区以异常偏多为主。昼雨天数夏半年出现异常最多,南部边缘地区均为异常偏多,藏北地区也以偏多为主,其他区域多异常偏少。西藏大部分地区年、季昼夜雨率的大小更多依赖于降水强度,而非雨次的多少。     

两种反演地表净太阳辐射的参数化模式在北京地区的比较

地表净太阳辐射(NSSR)在地表辐射平衡、地-气能量交换、天气预报、气候变化和太阳能利用等研究方面具有重要的作用.利用卫星遥感技术能在广大的空间区域内快速地获取地表净太阳辐射的分布情况,特别是在无人观测的极地和海洋区域.本文基于CERES/SSF卫星数据,分别采用两种地表净太阳辐射(NSSR)的卫星反演参数化模式--Li模式与Masuda模式计算了北京市上甸子地区2005年1、4、7和10月的NSSR,并将反演结果与上甸子大气本底站的实测结果进行了对比分析,并对两种模式进行了修正以更好地反演北京地区的地表净太阳辐射.结果显示:Li模式和Masuda模式反演结果与实测结果间的平均绝对误差在晴空条件下分别为62.2和50.8W/m2,在云天条件下分别为82.1和71.8 W/m2;Li模式相对于Masuda模式具有偏大的趋势,在晴天和云天条件下两者的平均绝对偏差分别为11.5和10.2 W/m2;对Li模式和Masuda模式进行线性拟合回归后能有效减小反演过程中的系统性偏差,修改后的Li模式和Masuda模式在所有天空状况下反演的月平均NSSR值与观测值问的平均绝对误差分别为-1.8和-3.4 W/m2,均方根误差分别为19.6和26.0 W/m2.     

藏北地区近地层大气和土壤特征量分析

利用"全球协调加强观测期亚澳季风青藏高原试验研究(CAMP/Tibet)"4个台站2003年大气和土壤的观测资料,详细分析了藏北高原不同下垫面上的气温、相对湿度、土壤温度、土壤湿度等的季节变化及年变化特征。近地层大气各气象要素变化剧烈;4个站气温高低的差异显示了纬度和高度的明显影响;各站冻土冻融过程存在地域差别,尤其是春季冻结消融阶段的持续时间相差可达1个月;土壤质地的差别对土壤湿度影响也较大,黏土土壤含水量要高些,粉土和砂土要低些。