一套格点化的中国区域逐日观测资料及与其它资料的对比

为高分辨率气候模式检验等的需要,基于2400余个中国地面气象台站的观测资料,通过插值建立了一套0.25°×0.25°经纬度分辨率的格点化数据集(CN05.1).CN05.1包括日平均和最高、最低气温,以及降水4个变量.插值通过常用的"距平逼近"方法实现,首先将计算得到的气候平均场使用薄板样条方法进行插值,随后使用"角距权重法"对距平场进行插值,然后将两者叠加,得到最终的数据集.将CN05.1与CN05、EA05和APHRO三种日气温和降水资料(四种资料的分析时段统一为1961—2005年)进行对比,分析了它们对气候平均态和极端事件描述上的不同,结果表明几者总体来说在中国东部观测台站密集的地方差别较小,而在台站稀疏的西部差别较大,相差最大的是青藏高原北部至昆仑山西段等地形起伏较大而很少或没有观测台站的地方,反映了格点化数据在这些地区的不确定性,在使用中应予以注意.     

Transfer-function modelling between environmental variation and mesozooplankton in the Baltic Sea

Time series of freshwater runoff, seawater salinity, temperature and oxygen were used in transfer functions (TF) to model changes of mesozooplankton taxa in the Baltic Sea from the 1960’s to the 1990’s. The models were then compared with long term zooplankton monitoring data from the same period. The TF models for all taxa over the whole Baltic proper and at different depth layers showed statistically significant estimates in t-tests. TF models were further compared using parsimony as a criterion. We present models showing 1) r² > 0.4, 2) the smallest residual standard error with the combination of exploratory variables, 3) the lowest number of parameters and 4) the highest proportional decrease in error term when the TF model residual standard error was compared with those of the univariate ARIMA model of the same response variable. Most often (7 taxa out of a total of 8), zooplankton taxa were dependent on freshwater runoff and/or seawater salinity. Cladocerans and estuarine copepods were more conveniently modelled through the inclusion of seawater temperature and oxygen data as independent variables. Our modelling, however, explains neither the overall increase in zooplankton abundance nor a simultaneous decrease found in the neritic copepod, Temora longicornis. Therefore, biotic controlling agents (e.g. nutrients, primary production and planktivore diets) are suggested as independent variables for further TF modelling. TF modelling enabled us to put the controlling factors in a time frame. It was then possible, despite the inherent multiple correlation among parameters studied to deduce a chain-of-events from the environmental controls and biotic feedback mechanisms to changes in zooplankton species. We suggest that the documented long-term changes in zooplankton could have been driven by climatic regulation only. The control by climate could be mediated to zooplankton through marine chemical and physical factors, as well as biotic factors if all of these were responding to the same external control, such as changes in the freshwater runoff. Increased runoff would explain both the increasing eutrophication, causing the overall increase of zooplankton, and the changes in selective predation, contributing to decline of Temora.     

A 2000-yr reconstruction of air temperature in the Great Basin of the United States with specific reference to the Medieval Climatic Anomaly

A sediment core representing the past two millennia was recovered from Stella Lake in the Snake Range of the central Great Basin in Nevada. The core was analyzed for sub-fossil chironomids and sediment organic content. A quantitative reconstruction of mean July air temperature (MJAT) was developed using a regional training set and a chironomid-based WA-PLS inference model (r²_jack = 0.55, RMSEP = 0.9°C). The chironomid-based MJAT reconstruction suggests that the interval between AD 900 and AD 1300, corresponding to the Medieval Climate Anomaly (MCA), was characterized by MJAT elevated 1.0°C above the subsequent Little Ice Age (LIA), but likely not as warm as recent conditions. Comparison of the Stella Lake temperature reconstruction to previously published paleoclimate records from this region indicates that the temperature fluctuations inferred to have occurred at Stella Lake between AD 900 and AD 1300 correspond to regional records documenting hydroclimate variability during the MCA interval. The Stella Lake record provides evidence that elevated summer temperature contributed to the increased aridity that characterized the western United States during the MCA.     

温度变化对夏季降温耗能的影响

该文采用降温度日数作为评估夏季降温耗能的指标 ,分析了我国夏季降温度日分布和长期变化特征。温度与降温耗能相关分析表明 ,两者相关密切 ,相关程度随气温升高而增加 ;降温耗能的 1℃效应量 ,北方大于南方。文章最后 ,利用气温距平与降温度日变率建立了夏季降温耗能评估模型。     

青藏高原近50年来气温的年代际变化

根据青藏高原及周边地区一百多个气象台站的月平均气温资料,利用统计方法,分析了近50年来气温的年代际变化。结果表明：整个高原地区温度变化可分为6个不同的区域。在时间演变上可划分出相对高温时段(1963年以前)、相对低温时段(1963—1987年)和另一个相对高温时段(1987年以后)。还从天文因素、地球系统各圈层及气候系统内各因子相互作用和相互制约出发,探讨了引起高原气候变化的可能原因。     

Analyzing snowfall variability over two locations in Kashmir,India in the context of warming climate

Present study focuses on examination snowfall variability over Gulmarg and Pahalgam of Kashmir Valley in India during past 31 years (1980–2010). Trends in temperature over the study area is also explored. Minimum and maximum temperature shows increasing trends which is consistent with increase in black carbon column mass density. Increase in black carbon mass density is attributed to urbanization over study area. Trends of minimum temperature is statistically significant. It is reported that snowfall over the Pahalgam shows decreasing trend except for the month of February and January. Pahalgam shows a significant decreasing trend in snowfall of about 48 mm per decade during March. Pahalgam and Gulmarg show seasonal decreasing trends of snowfall of about 15 mm and 1.8 mm per decade, respectively. These decreasing trends in snowfall are consistent with decadal increasing trends of about 1.2 °C and 0.8 °C in minimum temperature over Pahalgam and Gulmarg, respectively. Seasonal snowfall over both the regions shows decreasing trend (insignificant). Results reported in this study show a decrease of about 24.16% ± 9.86% per degree increase in minimum temperature over Pahalgam. Changing characteristics of snowfall in the context of anthropogenic warming present major challenges to the tourism and socioeconomic aspects over the Valley.     

基于经验模式给定热层温度对热层大气密度反演影响的评估

利用加速度计数据反演热层大气密度算法一般需由经验模式给定热层大气温度,进而计算大气阻尼系数C_D.本文基于CHAMP卫星加速度计数据反演得到大气密度,以2008年为例,利用反演得到的热层大气密度循环迭代修正大气阻尼系数C_D,通过对比修正前后密度偏差,评估经验模式给定热层温度对热层大气密度反演造成的影响.结果表明,经验模式热层温度计算偏差对大气密度反演造成的影响小于5%,而且考虑大气成分的改变则进一步降低了这种影响.

     

单斜星叶石矿物的穆斯堡尔光谱学研究

本文对产于俄罗斯希宾地区的单斜星叶石进行了不同的温度条件下的穆斯堡尔光谱效应研究.通过在温度分别在298 K,180 K和80 K条件下的分析,发现单斜星叶石由2个Fe2 和1个Fe3 四极双峰组成,并进行了单斜星叶石中的畸变参数包括八面体键角(σ2)和键长变量(△)的计算.但是,在两个畸变参数之间存在着明显的差异,将无法对它们的穆斯堡尔参数和四极双峰进行指派.本文对温度在同质异能位移和四极分裂中的作用进行了探讨,根据通过穆斯堡尔效应和f(Fe3 (O))/f(Fe2 (O))的平均值获得的三价铁对全铁的比值,改写了单斜星叶石的化学式.     

树轮最大密度记录的吉尔吉斯斯坦天山山区公元1650年以来的7-8月温度变化

利用吉尔吉斯斯坦天山山区3个采样点的雪岭云杉树轮最大密度数据建立区域树轮最大密度年表（RC）。气候响应分析发现,区域树轮最大密度年表与7-8月平均温度显著相关。在此基础上,利用区域树轮最大密度年表重建了吉尔吉斯斯坦天山山区自1650年以来的7-8月温度变化,重建方程的方差解释量高达45．3％（Radj^2=44．7％,N=95,F=77．029）。重建结果显示,在过去的346a中吉尔吉斯斯坦天山山区7-8月平均温度的异常高温年份为40a,异常低温年份为46a,且存在11个低温时段（16501654,1662-1678,1693-1703,1779-1794,1801-1805,1811-1819,1834-1854,1882-1910,1917-1923,1952-1975和1986-1992年）和11个高温时段（1655-1661,1679-1692,1704-1778,1795-1800,1806-1810,1820-1833,1855-1881,1911-1916,1924-1951,1976-1985和1994-至今）。突变和周期分析揭示该地区的温度变化受到了火山、太阳活动和海陆气交互作用的共同影响。此外,在过去的346a来气候以暖干／冷湿为主,近20a来出现了明显暖湿化趋势。     

我国夏季气温、降水场的时空特征分析

本文用主分量及转动主分量分析方法对我国夏季气温及降水量场(1951—1985年期间)的时空特征进行了研究。从所提取的空间模式中发现气温的解释方差较降水的大,且具有较好的均匀性;从对应的时间分量分析发现气温与降水均具有2—3年的主要变化周期,与东亚大气环流的关系分析中以气温表现较为密切。 对气温和降水场时空特征的稳定性分析表明,无论在持续性、周期性及与东亚大气环流的关系上,进入70年代后均有较明显的变化。比较表明气温场的稳定性较降水为好。 气温场与降水场相互关系分析发现它们有显著的反相关,表现显著的地区为长江中下游、华南及华北等。