不同平均时间对LOPEX10资料涡动相关湍流通量计算结果影响的探讨

通过处理涡动相关系统观测的近地层湍流脉动量可以获取地—气间感热和潜热通量,然而选择不同平均时间对通量计算的结果有较大影响。采用黄土高原陆面过程野外观测试验(LOPEX10)期间获得的涡动相关系统观测资料,分析了不同平均时间对湍流通量计算的影响,并采用雷诺平均和分解方法推导了平均时间引起的通量差值的数学表达式(Flux Compensation,FC)。结果表明:(1)FC公式可以说明采用不同平均时间数据之间的关系,也可以直接计算低频涡旋对湍流通量的贡献。FC公式计算的结果与直接计算的不同平均时间通量计算之差的相关系数在0.95以上,并可以确定计算湍流通量的最佳平均时间。(2)通过采用Ogive函数确定了计算LOPEX10期间通量的最佳平均时间长度为30min,印证了利用雷诺平均和分解方法计算湍流通量补偿的准确性。(3)通过进一步的数学变换,证明了平均时间对湍流通量计算的影响直接与湍流低频变化相关,FC公式可以用来确定涡动相关观测数据的最佳平均时间,并且在获得较高时间分辨率的湍流通量数据的同时,补偿因平均时间过短而遗漏的低频信息。     

农田植被层上方湍流通量输送特征分析

根据宵田植被层上方的温湿风梯度观测资料,采用基于莫宁－奥布霍夫相似理论的廓线梯度法计算了农田植被层上方的湍流通量,进而确定出拖曳系数、斯坦顿数和道尔顿数。文中检验了用于农田植被层上方湍流通量计算的普适函数的适用性,讨论了湍流通量以及拖曳系数等随稳定度参数、粗糙度高、平均风速等因子的变化规律。结果表明,农田植被层上方的湍流通量随层结构稳定度变化而变化;拖曳系数、斯坦顿数和道尔顿数也不是常数,而是层结     

北京北郊冬季大风过程湍流通量演变特征的分析研究

利用中国科学院大气物理研究所325 m气象观测塔1993年12月～1994年1月大气边界层实验资料, 计算分析了大风过境过程中47 m和120 m高度湍流通量演变特征及其影响因子, 以及与风速、 稳定度等参数的关系。结果表明: 大风过程对近地面层的物质能量输送有着重要影响, 大风之前出现短时间动量上传和热量下传; 大风过程中的湍流通量数值明显高于过境后, 水平方向湍流通量数值和能量增加幅度大于垂直方向; 当风速大于临界值5 m/s时, 湍流通量与风速、 湍流动能的相关迅速增大; 湍流谱特征表现为湍流能量的低频部分增加、 湍流谱曲线变宽; 大风能强烈影响近地面层的能量收支。     

那曲高寒草地上四种地表通量计算方法的对比

利用中国科学院那曲高寒气候环境观测研究站2013年9月至2014年8月自动气象站(AWS)和涡动相关系统(EC)的观测资料,基于空气动力学法、地表能量平衡组合法、总体输送法以及涡动相关法,计算了高寒草地下垫面的湍流通量,并对不同方法计算结果间的一致性和差异性进行了分析。结果表明,不同方法计算的湍流通量特征具有明显的差异。地表能量平衡组合法满足能量平衡关系,但在早晨和傍晚层结转换期间,计算的湍流通量出现异常不稳定值;空气动力学法计算的湍流通量在整个观测期与涡动相关法计算的湍流通量相关性最高,但在大气稳定度参数接近0,计算结果不稳定;总体输送法计算的通量数据在地气温差为负值时发散明显,但该方法原理简单,适合在只有常规观测项目的业务气象站或在气象观测项目不全的野外台站使用。空气动力学法和地表能量平衡组合法与涡动相关法的湍流通量的平均偏差相对较小,而总体输送法平均偏差相对较大。研究方法和结果除了为这些方法的使用提供参考外,也为建立长时间通量序列提供了一个较为合理的依据,有助于深入了解高原地气相互作用。     

CAM3模式海气湍流通量参数化的改进及其应用

通过对流性阵风参数化方法,在CAM3原有海气湍流通量参数化方案(CAM3方案)中引入边界层自由对流和降水深对流对海表湍流通量的贡献,改进了CAM3模式的海气湍流通量参数化方案(CAM3 ME方案).在此基础上,利用观测海温积分改进的CAM3模式,分析改进模式对冬(DJF)、夏季(JJA)大气环流异常的模拟性能.结果表明,采用改进的海气湍流通量参数化方案,模式对冬(DJF)、夏季(JJA)大气环流异常年际变化的模拟能力有了很大提高,尤其是冬季(DJF)北太平洋和北美大陆地区以及夏季(JJA)南半球海洋上空.     

GAMIL模式海气湍流通量参数化方案的改进及其对大气环流年际变率模拟效果的影响

通过引人中尺度对流运动对海表湍流通量的贡献,改进了大气环流模式GAMIL1.0的海气湍流通量参数化方案.利用1979年1月至2000年12月的观测海温资料驱动GAMIL1.0模式,研究了海气湍流通量参数化改进对大气环流年际变化模拟效果的影响.结果表明:采用改进的海气湍流通量参数化方案,模拟的热带海表湍流热通量得到增强,...     

一次干冷锋过程的边界层风场结构和尺度分析

本文利用南京北郊164米气象塔实测资料对一次非降水弱冷锋过程的边界层风场结构一三维风速、横锋向水平散度、湍流通量和能量的时空分布，以及多尺度时空分布进行了计算分析。结果表明，在冷暖空气的过渡区（锋区）风场各参量具有明显的梯度，锋区前线的强上升气流与强冷锋相近，但锋区宽度较强冷锋宽得多，其时间尺度为30分钟，水平距离为35公里。锋面过境对风温场的影响时段为24小时，在这期间，出现阵风浪涌和多种中、小尺度（时间尺度为3－4小时、1－20分钟）的湍涡活动。     

多尺度大气湍流的扩散及扩散率

本文首先将大气湍流多尺度化,而将不同尺度的脉动量的Monte Carlo关系转换为Lange-vin方程,在平稳及均匀条件下可得一高阶常系数Lagrange自相关函数的常微分方程。其通解恰为一组衰减实指数函数的线性组合,系数为各尺度湍能对总湍能的比。以此可通过Taylor积分对野外实测扩散参数作出尺度分解。并可方便地将扩散参数表达为湍流参数的函数使其物理意义明确。     

SHAW模式的改进及其在黄土高原半干旱区的模拟研究

陆面过程模拟研究中的一个关键问题是如何准确的计算陆气间能量交换,但现有的陆面过程模式模拟的湍流通量与观测值间仍然存在较大偏差,因此改进湍流通量的参数化方案对于提高陆面过程模式模拟能力有重要意义。本研究通过改进陆面过程模式SHAW中的热力粗糙度方案,以及引入干表层蒸发方案,以期改善湍流通量的模拟能力。在此基础上利用黄土高原半干旱区SACOL站观测资料,进行模式改进前后的单点模拟对比试验,研究其参数化方案改进对陆面过程模拟的影响。结果表明:改进后的SHAW模式能够合理地模拟黄土高原半干旱区陆面特征的变化趋势,模拟值与观测值偏差较小。与原来的SHAW模式模拟结果相比,改进后的SHAW_MOD模式显著提高了湍流通量的模拟能力,并改善了净辐射和深层土壤温度的模拟,但对土壤湿度的改进并不明显,这可能与土壤内部水热传输过程及相关参数化方案有关,还有待做进一步研究。     

地表粗糙度非均匀性对模式湍流通量计算的影响

理论分析和数值试验结果表明,地表参量的不均匀性对网格区地表湍流通量的计算有重要影响。近中性大气层结条件下,次网格粗糙度长度的变差系数、网格平均粗糙度及参考高度的选取是影响网格湍流通量计算的主要因素,其中次网格粗糙度长度的变差系数对计算偏差起主要决定作用。实际计算表明,某些特定地区(如植被气候过渡带)粗糙度的地表非均匀性引起的计算相对误差可达40%以上,选取特定的参考高度能改善高网格湍流通量计算的效果。非中性大气层结条件下,由地表粗糙度不均匀性所致的平均风速、位温梯度以及近地层大气稳定度的次网格分布都对网格湍流通量(感热通量)计算产生影响,比较而言,相对误差大小对大气稳定度的次网格分布最为敏感。所以,在目前的数值模式中有必要进一步对湍流通量计算过程中由于地表不均匀性产生的计算偏差加以考虑。     

Homogeneity tests and non-parametric analyses of tendencies in precipitation time series in Keszthely,Western Hungary

This study aims to investigate the precipitation trends in Keszthely (Western Hungary, Central Europe) through an examination of historical climate data covering the past almost one and a half centuries. Pettitt’s test for homogeneity was employed to detect change points in the time series of monthly, seasonal and annual precipitation records. Change points and monotonic trends were analysed separately in annual, seasonal and monthly time series of precipitation. While no break points could be detected in the annual precipitation series, a significant decreasing trend of 0.2–0.7 mm/year was highlighted statistically using the autocorrelated Mann-Kendall trend test. Significant change points were found in those time series in which significant tendencies had been detected in previous studies. These points fell in spring and winter for the seasonal series, and October for the monthly series. The question therefore arises of whether these trends are the result of a shift in the mean. The downward and upward shift in the mean in the case of spring and winter seasonal amounts, respectively, leads to a suspicion that changes in precipitation are also in progress in these seasons. The study concludes that homogeneity tests are of great importance in such analyses, because they may help to avoid false trend detections.     

CLIMATE CHANGE: LONG-TERM TRENDS AND SHORT-TERM OSCILLATIONS

Identifying the Northern Hemisphere (NH) temperature reconstruction and instrumental data for the past 1000 years shows that climate change in the last millennium includes long-term trends and various oscillations. Two long-term trends and the quasi-70-year oscillation were detected in the global temperature series for the last 140 years and the NH millennium series. One important feature was emphasized that temperature decreases slowly but it increases rapidly based on the analysis of different series. Benefits can be obtained of climate change from understanding various long-term trends and oscillations. Millennial temperature proxies from the natural climate system and time series of nonlinear model system are used in understanding the natural climate change and recognizing potential benefits by using the method of wavelet transform analysis. The results from numerical modeling show that major oscillations contained in numerical solutions on the interdecadal timescale are consistent with that of natural proxies. It seems that these oscillations in the climate change are not directly linked with the solar radiation as an external forcing. This investigation may conclude that the climate variability at the interdecadal timescale strongly depends on the internal nonlinear effects in the climate system.     

利用多模式对中国气温序列中不连续点的检测

发展了一种对元数据依赖程度较小的气候序列均一化思路,在缺乏元数据的基础上,采取3种不同的方法,对中国东南部地区年平均最高、最低气温序列进行了均一性检验;并对其中不连续的气温序列进行了订正.对比表明,订正后序列较订正前更为合理.在检验过程中发现,对于最低气温检验可以明显得出比最高气温更多的不连续点.为了进一步认识这个问题,对此进行了进一步分析,认为最低温度对变化更为敏感主要是由于其物理特征:最低温度一般出现在夜间,夜间大气较为稳定,因此一些变化(如仪器,迁站)可能引起明显的不连续现象,而最高气温往往出现在白天,因此大气混合比较充分,空间的均一性要明显强于最低温度.另外,热岛现象、台站密度等因素均是影响气温序列均一化的因素.     

Detecting trends that are nonlinear and asymmetric on diurnal and seasonal time scales

Trends in climate time series are often nonlinear and temporally-asymmetric, i.e. the trend is different for different seasons and/or hours of the day. Here a method is developed that allows the nonlinearity and temporal asymmetry of a trend to be investigated simultaneously. First, nonlinear trend components are extracted from a univariate time series, by adapting a nonparametric dimension-reduction method. Then, the nonlinear trend components are substituted into a regression model in which the periodic mean component and the periodic variation in the amplitude of the nonlinear trend are modeled using harmonic functions of the seasonal and diurnal periods. Third, trend patterns in the positive and negative anomalies are investigated, by extending the nonlinear trend model using indicator variables. Fourth, a non-local inferential test is developed to test the statistical significance of the trend patterns. The nonlinear trend model is applied to a simulated time series, as well as to long-term high-resolution temperature records from five Southern Hemisphere sites: Lucas Heights, Sydney Airport, Cape Grim, Macquarie Island and Law Dome. Our method should be generally useful for identifying the effect of both climate-related factors and observation/site-related factors on seasonal and diurnal trends in meteorological data series.     

Effect of spatial correlation on regional trends in rain events over India

The regional trends are evaluated in the frequency of various rain events using the daily gridded (1°?×?1°) rainfall dataset for the time period 1901–2004, prepared by the India Meteorological Department (IMD). In terms of intensity, the events are classified as low, moderate, heavy and extreme heavy, while short and long spells are classified on the basis of duration of rainfall. The analytical (parametric) and the empirical (bootstrap) techniques were used to incorporate the impact of spatial correlation in regional trends. It is observed that, consideration of spatial correlation reduces the significance level of the trends and the effective number of grid points falling under each category. Especially, the noticeable cross-correlation have reduced the significance of the trends in moderate and long spell rain events to a large extent, while the significance of trends in the extreme heavy and short spell events is not highly affected because of small cross-correlation.     

The evolution of temperature extremes in the Gaspé Peninsula,Quebec, Canada (1974–2013)

The majority of natural hazards that affect Canadian territory are the result of extreme climate and weather conditions. Among these weather hazards, some can be calculated from the application of thresholds for minimum and maximum temperatures at a daily or monthly timescale. These thermal indices allowed the prediction of extreme conditions that may have an impact on the human population by affecting, for example, health, agriculture, and water resources. In this article, we discuss the methods used (RHtestsV4, SPLIDHOM, ClimPACT) then describe the steps followed to calculate the indices, including how we dealt with the problem of missing data and the necessity to identify a common methodology to analyze the time series. We also present possible solutions for ensuring the quality of meteorological data. We then present an overview of the results, namely the main trends and variability of extreme temperature for seven stations located in the Gaspé Peninsula from 1974 to 2013. Our results indicate some break points in time series and positive trends for most indices related to the rise of the temperatures but indicate a negative trend for the indices related to low temperatures for most stations during the study period.     

中国近四十年最高最低温度变化

利用中国１９５１－１９９０年的实测资料，在剔除测站迁移和城市化热岛效应对气候变化趋势的可能影响之后，研究了中国最高温度、最低温度的时空变化趋势特点。结果表明，最高温度在９５°Ｅ以西及黄河以北地区普遍呈增温趋势，而在东部黄河以南却呈降温趋势；最低温度在全国普遍呈增温趋势，在高纬度地区增暖最明显。这种变化使得日较差表现出明显的减少趋势。虽然最高、最低温度变化的准周期性规律是一致的，但它们的线性变化趋势却呈现出明显的不对称性。最低温度的显著升高反映了近４０ａ中温室效应持续加强的迹象。进一步的分析表明，最高最低温度变化是与日照条件及大气水分条件相关联的     

Temporal evolution of Hudson Bay Sea Ice (1971–2011)

Previous work has found Hudson Bay seasonal sea ice particularly sensitive to climate change with a strong signal of earlier breakup dates. This work extends the previous analysis by including eight additional years of recent sea ice data. The expanded sea ice record, 1971 to 2011, revealed stronger and more statistically significant trends than the earlier work, most strikingly for the later freeze up. The average magnitude of the temporal trend for all 36 locations studied is 0.50 days/year for earlier breakup, 0.46 days/year for the later freeze-up, and 0.91 days/year for longer ice-free period. Of the 36 points, 12 points for the breakup period, 30 points for the freeze-up period, and 22 points for the ice-free season have accelerating temporal trends during the past decade.     

Impact of urbanization on recent temperature and precipitation trends in the Korean peninsula

Urbanization has a significant impact on climate in urban areas. In this study, we investigate urbanization impacts on temperature and precipitation trends in Korean peninsula based on statistical relationship between these trends and local population growth. We found that there is a significant positive correlation between temperature rise and local population growth, indicating that urbanization has a significant contribution to temperature increase in city climate. As for temperature, the population growth in Korean cities is positively correlated with precipitation trend. The positive correlation is higher during summer time when small-scale convective activity is dominant. Furthermore, it is demonstrated that the correlation is significantly increased when stations in rural areas and small cities are excluded. Such nonlinear relation between precipitation and urbanization is also discussed.     

Catching sea cucumber fever in coastal communities: Conceptualizing the impacts of shocks versus trends on social-ecological systems

Research on vulnerability and adaptation in social-ecological systems (SES) has largely centered on climate change and associated biophysical stressors. Key implications of this are twofold. First, there has been limited engagement with the impacts of social drivers of change on communities and linked SES. Second, the focus on climate effects often assumes slower drivers of change and fails to differentiate the implications of change occurring at different timescales. This has resulted in a body of SES scholarship that is under-theorized in terms of how communities experience and respond to fast versus slow change. Yet, social and economic processes at global scales increasingly emerge as ‘shocks’ for local systems, driving rapid and often surprising forms of change distinct from and yet interacting with the impacts of slow, ongoing ‘trends’. This research seeks to understand the nature and impacts of social shocks as opposed to or in concert with trends through the lens of a qualitative case study of a coastal community in Mexico, where demand from international seafood markets has spurred rapid development of a sea cucumber fishery. Specifically, we examined what different social-ecological changes are being experienced by the community, how the impacts of the sea cucumber fishery are distinct from and interacting with slower ongoing trends and how these processes are affecting system vulnerability, adaptations and adaptive capacity. We begin by proposing a novel framework for conceptualizing impacts on social systems, as comprised of structures, functions, and feedbacks. Our results illustrate how the rapid-onset of this fishery has driven dramatic changes in the community. New challenges such as the ‘gold-rush-style’ arrival of new actors, money, and livelihoods, the rapid over-exploitation of fish stocks, and increases in poaching and armed violence have emerged, exacerbating pressures from ongoing trends in immigration, overfishing and tourism development. We argue that there is a need to better understand and differentiate the social and ecological implications of shocks, which present novel challenges for the vulnerability and adaptive capacity of communities and the sustainability of marine ecosystems.