Role of land-surface temperature feedback on model performance for the stable boundary layer

At present a variety of boundary-layer schemes is in use in numerical models and often a large variation of model results is found. This is clear from model intercomparisons, such as organized within the GEWEX Atmospheric Boundary Layer Study (GABLS). In this paper we analyze how the specification of the land-surface temperature affects the results of a boundary-layer scheme, in particular for stable conditions. As such we use a well established column model of the boundary layer and we vary relevant parameters in the turbulence scheme for stable conditions. By doing so, we can reproduce the outcome for a variety of boundary-layer models. This is illustrated with the original set-up of the second GABLS intercomparison study using prescribed geostrophic winds and land-surface temperatures as inspired by (but not identical to) observations of CASES-99 for a period of more than two diurnal cycles. The model runs are repeated using a surface temperature that is calculated with a simple land-surface scheme. In the latter case, it is found that the range of model results in stable conditions is reduced for the sensible heat fluxes, and the profiles of potential temperature and wind speed. However, in the latter case the modelled surface temperatures are rather different than with the original set-up, which also impacts on near-surface air temperature and wind speed. As such it appears that the model results in stable conditions are strongly influenced by non-linear feedbacks in which the magnitude of the geostrophic wind speed and the related land-surface temperature play an important role.     

中国冬季气温的集合典型相关分析和预报

以欧亚大陆地面温度、北半球500 hPa高度、热带印度洋SST(sea surface temperature)以及北太平洋SST为预报因子,通过典型相关分析(canonical correlation analysis,简称CCA)建立预报关系,然后用集合典型相关分析预报(ensemble canonical correlation prediction,简称ECC)方法预报中国冬季气温,并分析预报技巧及进行独立样本检验.结果表明,不同的预报因子对各个地区有不同的预报技巧,以欧亚大陆地面温度为预报因子预报技巧较高,而ECC模式对中国冬季气温有更好的预报能力,预报技巧高于任何一个单因子场的CCA预报;采用回归法的集合平均比简单的等权集合平均预报技巧更稳定.     

El Ni?o事件大气-洋流异常与暖海温传播机理研究

利用1971～2000年逐月SODA (Simple Ocean Data Assimilation) 同化资料（Carton等，2004）、1980～2000年逐月NCEP/NCAR再分析资料（Kalnay等，1996）探讨中部型（暖海水首先出现在120°W以西）和东部型（暖海水首先出现在120°W以东）El Ni?o事件赤道纬向风应力及洋流的异常变化与暖海水信号的传播特征。研究指出:（1）中部型和东部型El Ni?o事件发生时，太平洋上赤道海表最大西风应力距平在西太平洋地区都有显著的东传现象，但中部型El Ni?o事件西风应力距平强度强，造成西太平洋赤道表层的东向流可达东太平洋地区，这类El Ni?o事件强度偏强。（2）中部型El Ni?o事件，赤道表层洋流辐合区及其下沉运动由西太平洋向东太平洋传播，辐合下沉运动抑制了深层冷海水上翻，西太平洋暖水能够传到东太平洋与西太平洋赤道表层洋流辐合区及其下沉运动的东移有关。（3）东部型El Ni?o事件西太平洋赤道表层洋流辐合区及其下沉运动没能直接传到东太平洋地区，东太平洋暖水形成与局地（120°W以东）辐合下沉运动抑制深层冷海水上翻有关；东部型El Ni?o事件暖池次表层的暖水，不是沿着西太平洋赤道次表层向东传播到东太平洋地区，而是由南太平洋西边界流将暖池海水带到40°S左右的西风漂流区， 再由西风漂流平流到东太平洋。     

西太平洋副热带高压影响下北京区域性暴雨的个例分析

北京地区大降水(≥25 mm/d)天气有72%出现在7~8月份,其中直接受西太平洋副热带高压(副高)影响的大降水占46%,它们主要产生在西风槽与副高相互作用的天气形势下。通过对该类暴雨的典型个例分析表明,由于受副高的影响,对流层低层副高南面的偏东气流将海上充沛的水汽输送到大陆,并折向北与偏北气流相遇,汇集在北京附近。同时,副高西北边缘与西风槽之间形成较强的能量锋区,该锋区南面的高温高湿气团蕴藏了较深厚的湿有效位能,在湿位涡的斜压项作用下转化为动能,倾斜垂直涡度发展激发了强烈的上升运动。在斜压扰动作用下,对流层中层差动涡度平流和副高西侧的暖平流破坏了北京及邻近区域的准地转平衡,动力强迫和热力强迫共同作用激发了次级环流,该处的上升运动得到加强。暴雨就是产生在强的能量锋附近低层气旋性涡度发展、高层辐散显著的地方。此外,副高西侧低层的暖湿气流北上,较强的差动假相当位温平流促使大气层结向对流不稳定发展,这对于暴雨局地的再增强是不可忽视的因素。由此,形成对该类暴雨天气预报的着眼点。     

油气聚集对石英矿物成岩演化的影响

油气在砂岩储层中的聚集会对石英矿物的胶结作用产生影响。对黄骅坳陷三马探区的石英矿物的包裹体分析以及对开放孔隙中原油抽提物和包裹体中原油的生物标志物进行分析,含油级别较低的油层与水层具有相似的均一化温度分布范围,但富含油层中流体包裹体均一化温度高值分布范围比低级别油层和水层低,包裹体中的烃类组成与开放孔隙中的主要存在成熟度上的不同。分析认为石油的充注不会使石英矿物的胶结作用立刻停止,石英的次生加大作用仍在继续,但胶结作用受到一定的抑制,当石油充注到一定程度后,胶结作用将会停止,后期进入储层的成熟度较高的原油可能未被捕获。     

Change of Gas Hydrate Reservoir and Its Effect on the Environment in Xisha Trough since the Last Glacial Maximum

In this article, Milkov and Sassen’s model is selected to calculate the thickness of the gas hydrate stable zone (GHSZ) and the amount of gas hydrate in the Xisha (西沙) Trough at present and at the last glacial maximum (LGM), respectively, and the effects of the changes in the bottom water temperature and the sea level on these were also discussed. The average thickness of the GHSZ in Xisha Trough is estimated to be 287 m and 299 m based on the relationship between the GHSZ thickness and the water depth established in this study at present and at LGM, respectively. Then, by assuming that the distributed area of gas hydrates is 8 000 km2 and that the gas hydrate saturation is 1.2% of the sediment volume, the amounts of gas hydrate are estimated to be ~2.76×1010 m3 and ~2.87×1010 m3, and the volumes of hydrate-bound gases are ~4.52×1012 m3 and ~4.71×1012 m3 at present and at LGM, re- spectively. The above results show that the thickness of GHSZ decreases with the bottom water tem- perature increase and increases with the sea level increase, wherein the effect of the former is larger than that of the latter, that the average thickness of GHSZ in Xisha Trough had been reduced by ~12 m, and that 1.9×1011 m3 of methane is released from approximately 1.1×109 m3 of gas hydrate since LGM. The released methane should have greatly affected the environment.     

High Precision Time Domain Forward Modeling for Crosshole Electromagnetic Tomography

To improve the resolution of crosshole electromagnetic tomography, high precision of forward modeling is necessary. A pseudo-spectral time domain (PSTD) forward modeling was used to simulate electromagnetic wave propagation between two boreholes. The PSTD algorithm is based on the finite difference time domain (FDTD) method and uses the fast Fourier transform (FFT) algorithm for spatial derivatives in Maxwell's equations. Besides having the strongpoint of the FDTD method, the calculation precision of the PSTD algorithm is higher than that of the FDTD method under the same calculation condition. The forward modeling using the PSTD method will play an important role in enhancing the resolution of crosshole electromagnetic tomography.     

Numerical analysis for random temperature fields of embankment in cold regions

The stochastic finite element equations for random temperature are obtained using the first-order per-turbation technique taking into account the random thermal properties and boundary condition, based on heat transfer variational principle. The local average method for 2-D is used to discretize random fields. Then, the random temperature fields of embankment in cold regions are investigated on condi-tion that the thermal properties and boundary condition are taken as random fields, respectively, by using the program, which is written by the methods. The expected value of temperature field and the standard deviation of the temperature field of embankment in cold regions are obtained and analyzed.     

2005年10月8日巴基斯坦7.8级地震热红外异常

收集了2005年巴基斯坦7.8级地震区Noaa17/AVHRR的2004-2005年的热红外遥感资料,并进行地表温度反演,得到了以震中为中心7°×7°范围的地表温度值。经热红外图像解译与构造关系对比分析,表明热红外解译图像与构造分布具有一致性。震源区地表温度时间序列显示:震前大约3个月内震源区存在明显的热红外异常。     

Analysis and modeling of the seasonal South China Sea temperature cycle using remote sensing

The present paper describes the analysis and modeling of the South China Sea (SCS) temperature cycle on a seasonal scale. It investigates the possibility to model this cycle in a consistent way while not taking into account tidal forcing and associated tidal mixing and exchange. This is motivated by the possibility to significantly increase the model’s computational efficiency when neglecting tides. The goal is to develop a flexible and efficient tool for seasonal scenario analysis and to generate transport boundary forcing for local models. Given the significant spatial extent of the SCS basin and the focus on seasonal time scales, synoptic remote sensing is an ideal tool in this analysis. Remote sensing is used to assess the seasonal temperature cycle to identify the relevant driving forces and is a valuable source of input data for modeling. Model simulations are performed using a three-dimensional baroclinic-reduced depth model, driven by monthly mean sea surface anomaly boundary forcing, monthly mean lateral temperature, and salinity forcing obtained from the World Ocean Atlas 2001 climatology, six hourly meteorological forcing from the European Center for Medium range Weather Forecasting ERA-40 dataset, and remotely sensed sea surface temperature (SST) data. A sensitivity analysis of model forcing and coefficients is performed. The model results are quantitatively assessed against climatological temperature profiles using a goodness-of-fit norm. In the deep regions, the model results are in good agreement with this validation data. In the shallow regions, discrepancies are found. To improve the agreement there, we apply a SST nudging method at the free water surface. This considerably improves the model’s vertical temperature representation in the shallow regions. Based on the model validation against climatological in situ and SST data, we conclude that the seasonal temperature cycle for the deep SCS basin can be represented to a good degree. For shallow regions, the absence of tidal mixing and exchange has a clear impact on the model’s temperature representation. This effect on the large-scale temperature cycle can be compensated to a good degree by SST nudging for diagnostic applications.