基于MODIS双卫星积雪遥感数据的积雪日数空间分布研究

结合Terra和Aqua卫星的积雪产品,获取2001-2006年全国新的逐日积雪覆盖数据,并利用此数据通过两种方案获取了全国积雪日数分布,对比发现3大稳定积雪区中,新疆地区积雪稳定性及连续性最好,东北其次,而青藏高原地区最差;通过595个气象台站年积雪日数数据分区分不同植被类型修正MODIS获得的年积雪日数.结果表明:...     

广州金沙洲岩溶地面塌陷灾害预警预报研究

受武广客运专线金沙洲隧道施工抽排大量地下水的影响, 2007—2012年广州金沙洲发生了大规模岩溶地面塌陷、地面沉降地质灾害,造成了重大经济损失。为防治地质灾害,采用综合地质调查、地下水位监测、地面沉降监测、物探、钻探和试验等手段勘查和研究,建立了完善的地下水位和地面沉降监测网络。在此基础上,根据地质环境条件、岩溶发育程度和地质灾害分布特征进行岩溶塌陷易发性分区,选择地下水位变化量和地面沉降量这两个与岩溶塌陷最直接、最敏感和最重要的参数,从预警预报参数选择、时间尺度选取、判据分析计算、预警预报方法、模型系统的建立等方面进行研究,选取临界日综合地下水位变化量和临界日综合地面沉降量作为预警预报判据,结合三维地质结构模型建立岩溶塌陷预警预报模型系统。成功地预警预报了两起岩溶地面塌陷,取得较好的预报效果,说明该岩溶地面塌陷预警预报模型系统实用、有效,为金沙洲防灾减灾提供地质科学依据,为当地的社会稳定和经济可持续发展提供技术支撑。     

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。     

Global thermal and dynamical perturbations due to Cretaceous mantle avalanche

The numerical models of mantle convection agree to depict avalanches behaviour according to the level of endothermicity of the spinel → perovskite phase change. Their potential effects on the global thermal and dynamical states of the mantle have been computed thanks to a numerical code, which takes into account both the 400-km exothermic and the 660-km endothermic phase changes. The cycle followed by the avalanches is: local layering, destabilization of the 660-km thermal layer, travelling and spreading on the core, and reappearing of the local layering. Therefore, mantle convection is characterized by quiet periods of partial layering embedded in catastrophic events. During the avalanche, the amplitude of the surface velocity is multiplied by two, which would imply an enhanced plate tectonic and ridge activities. The global thermal effects of the avalanche are compatible with a high mantle temperature and an acceleration of Earth's rotation during the Cretaceous. They also offer a coherent explanation to locate the origin of mantle plumes both within the CMB and just below the transition zone.     

大气环流的季节突变与季风的建立II·个别年份南海夏季风的情况

将流的标准化变差度概念应用到各年南海夏季风建立研究中去,并用其作为大气环流调整的客观定量指标。用该指标定义的南海夏季风建立的预兆日期与用传统天气气候学方法确定的南海夏季风的来临日期,在绝大多数具体年份两者均很接近,故可作南海夏季风建立的先兆指标。但有一些年份,南海季风的建立不伴随着低空环流的突变过程,两种方法都可能不准确,可靠的方法也许是用场相似度作指标。此外,南海夏季风建立前,对流层顶和平流层下层就出现了环流调整,该调整为南海夏季风建立打下基础,而南海夏季风爆发则表现为低空环流的大调整。南海夏季风的爆发是高、低空全球大气环流发生显著调整的结果,并非限于南海范围局部,南海夏季风建立不能看作是发生在南海的局部现象。     

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-.     

Prediction of UT1–UTC,LOD and AAM χ<Subscript>3</Subscript> by combination of least-squares and multivariate stochastic methods

This article presents the application of a multivariate prediction technique for predicting universal time (UT1–UTC), length of day (LOD) and the axial component of atmospheric angular momentum (AAM χ ₃). The multivariate predictions of LOD and UT1–UTC are generated by means of the combination of (1) least-squares (LS) extrapolation of models for annual, semiannual, 18.6-year, 9.3-year oscillations and for the linear trend, and (2) multivariate autoregressive (MAR) stochastic prediction of LS residuals (LS + MAR). The MAR technique enables the use of the AAM χ ₃ time-series as the explanatory variable for the computation of LOD or UT1–UTC predictions. In order to evaluate the performance of this approach, two other prediction schemes are also applied: (1) LS extrapolation, (2) combination of LS extrapolation and univariate autoregressive (AR) prediction of LS residuals (LS + AR). The multivariate predictions of AAM χ ₃ data, however, are computed as a combination of the extrapolation of the LS model for annual and semiannual oscillations and the LS + MAR. The AAM χ ₃ predictions are also compared with LS extrapolation and LS + AR prediction. It is shown that the predictions of LOD and UT1–UTC based on LS + MAR taking into account the axial component of AAM are more accurate than the predictions of LOD and UT1–UTC based on LS extrapolation or on LS + AR. In particular, the UT1–UTC predictions based on LS + MAR during El Niño/La Niña events exhibit considerably smaller prediction errors than those calculated by means of LS or LS + AR. The AAM χ ₃ time-series is predicted using LS + MAR with higher accuracy than applying LS extrapolation itself in the case of medium-term predictions (up to 100 days in the future). However, the predictions of AAM χ ₃ reveal the best accuracy for LS + AR.     

大气环流的季节突变与季风的建立Ⅰ.基本理论方法和气候场分析

将曾庆存等提出的大气环流的季节划分和计算季风的理论方法作了改进,使之更便于研究季风的建立过程.该理论方法将环流突变和季风建立时段,其"变差度"和与其前和其后场的"相似度"等由空间场的泛函随时间的变化(即数学名词上的"流"[flow])一起求出来.研究Ⅰ先分析气候平均场,Ⅱ分析各个别年份的情况及年际变化.研究Ⅰ的结果表明:(1)该方法可以客观定量地定出"突变"时段的关键日期;与季风建立过程联系,即是季风建立的"预兆日期",它比人们用天气-气候学方法(甚至用别的气象要素)定出的可以明显感觉到的或有明显实用价值的"季风来临日期"要早2至4天.(2)在北半球亚澳季风系统区域,夏季风的来临在许多关键地区伴有明显的环流突变,建立和推进者很快,但也有许多区域不表现为当地环流的突变,推进速度也慢.(3)北半球亚澳季风系统低空的热带季风分支,在6月中以前可明确区分为3个子系统,(a)西太平洋暖池和邻近低纬区域,4月中下旬建立;(b)热带东北印度洋(北界与孟加拉湾相邻,但不包括其在内)及索马里东边海洋,4月末至5月初建立;和(c)南海区域,5月上旬从南到5月下旬到北部.南海夏季风向北推进最快,于5月末候即可达北回归线附近,然后与暖池西北区域风场的突变一起,于6月中旬影响到东亚30°N区域;印度洋季风于6月初到达印度半岛东南端,然后逐渐推向印-巴次大陆.7月中以后,热带季风才连成一片,由非洲东岸直至长江下游和菲律宾附近.副热带季风分支于6月中旬可以感到其影响,于7、8月盛行于东亚和西太平洋区域,且结构和演变都比较复杂;6～7月间只表现为在(5～20°N,120～150°E)区域有强的环流突变(与副高增强并北移对应),7月中至8月底,则在上述区域和沿30°N的长江下游和日本以南的洋面上有3个强的环流突变中心(对应于副高又一次增强北移和西伸).这里暂不讨论温寒带季风分支.(4)季风具有鲜明的三度空间斜压结构,尤其是在低空季风"爆发"之前,平流层早已有强的环流突变,季节调整完成,然后突变向下延伸(虽然强度大减),跟着就有当地的低空季风"爆发"(建立).平流层和对流层环流的相互作用及其与季风建立的关系很值得进一步研究.     

极端干旱荒漠区典型晴天大气热力边界层结构分析

利用极端干旱区敦煌野外观测试验资料,分析了极端干旱荒漠区夏季典型晴天位温、风速、比湿等主要物理要素的垂直结构特征及其地表热力和近地层大气运动特征的日变化规律。发现在极端干旱地区夏季晴天大气热力边界层结构十分独特。在夜间,贴地逆温层最低在900 m以上,最厚可以达到1 750 m,逆温层上面的残余层一般能达到4 000 m左右的高度。在白天,位温超绝热递减层高达1 000 m,超绝热递减层上面的混合层最高达3 700 m,混合层顶上还有大约450 m甚至更厚的夹卷层。当白天对流层发展达到残余层以后,混合层的发展明显加快。风速和比湿垂直廓线特征很好地印证了大气热力边界层独特的结构特征,地表热力和近地层大气运动特征也为这种独特的大气热力边界层结构提供了较好的物理支持。