RAMS模式在金塔地区非均匀下垫面上的适用性研究

为检验RAMS模式在金塔地区的模拟性能, 首先选2005年7月2~3日金塔地区的一次晴好天气过程, 然后利用RAMS及MM5模式对该过程进行了48 h三重嵌套的数值模拟, 最后对金塔绿洲、 戈壁及沙漠点近地面各变量的模拟值及实测值进行了对比分析。结果表明： RAMS模式对绿洲、 戈壁和沙漠不同下垫面近地面温度的模拟表现良好, 基本模拟出了近地面相对湿度的日变化趋势, 较好地模拟出了绿洲\_沙漠环流引起的绿洲“冷岛效应”和临近绿洲的戈壁与沙漠上空的“逆湿”现象; RAMS模式对绿洲下垫面潜热通量的模拟比感热通量更接近实况, 而对戈壁和沙漠下垫面感热通量的模拟好于潜热通量, 三种下垫面上净辐射的模拟都与观测值较接近; 同MM5模式的模拟结果比较, RAMS模式对非均匀下垫面净辐射、 感热通量的数值模拟更优于MM5模式。这表明RAMS模式在金塔地区应用的可行性。     

非均匀地表陆面过程参数化研究

地表固有的非均匀性影响近地层大气的垂直结构,甚至改变局地天气条件,亦使得大气数值模式大尺度网格面积水热通量的计算对其具有较强的敏感性。为了提高气候模式性能,非均匀陆面过程参数化已是当前大气边界层和陆面过程模式研究的热点和难点问题之一。本文在调研国内外大量文献的基础上,综述了近年来非均匀地表陆面过程参数化的研究现状,分析和比较了不同的参数化方法的优缺点以及数值模式模拟结果对它们的响应,提出了目前尚待继续探讨和解决的几个关键性问题。     

地表非均匀性对区域平均水分通量参数化的影响

次网格尺度地表非均匀性对于网格区平均通量具有重要影响。若将网格区视为均一地表 ,并不能真实描述地 气通量交换过程 ,且可造成很大误差。文中从理论上证明 ,区域平均水分通量的变化率可分解为两部分 :第一部分为区域水分通量的算术平均变化率 ;第二部分为非均匀性所引起的水分通量变化率扰动 ,它与区域内土壤水分空间分布的变差系数有关。数值试验表明 ,地表土壤水分的水平空间变差系数集中反映了区域内土壤水分分布的非均匀程度 ,不同土壤对同样的非均匀程度其敏感性是不同的。变差系数愈大 ,非均匀性愈强 ,在相同的土壤水分平均值下 ,不同土壤类型对地表非均匀程度的敏感性并不相同。例如沙土和粘土受非均匀性的影响就可相差数十倍。     

非均匀地表条件下区域蒸发散通量计算方法的研究

文章改进了计算蒸发散通量的 Kotada-Barton模式（K-B模式)。经长江三角洲地区和淮河流域试验区各种不同陆面条件（水面，森林，麦田和水稻田）下的实际应用并通过和其它方法比较，认为该方法计算精度与涡动相关法及鲍恩比法相当，不论是计算蒸发散通量的瞬时值或日值都具有较高的可信度。该方法的最大优点在于它仅仅依赖于土地资源遥感信息、常规气象资料和基础地理信息如地面高程，而到目前为止上述资料均可以通过卫星等手段及常规观测得到。利用此方法计算了长江三角洲地区各种地表面上1995年各月的蒸发散量及该地区的区域平均蒸发散量。结果证明此方法具有较高的精确度，且基础资料容易得到，是一种估计不同地表覆盖条件下的蒸发散量和具有复杂的地形和土地利用条件下的区域平均蒸发散量的有用工具。     

地表热力非均匀性对近地层相似理论适用性影响的大涡模拟

利用非均匀地表加热的大涡模拟试验,研究了不稳定条件下地表热力非均匀性对近地层相似理论适用性的影响。结果发现,边界层的平均廓线基本不受地表热力非均匀性的影响。进一步分析发现,较大尺度的地表非均匀加热可以激发出有组织的大尺度次级环流,冷暖斑块的通量直到边界层上部才混合均匀;而当地表非均匀尺度较小时,次级环流难以形成有组织的结构,冷暖斑块的通量很快就可以混合均匀。然而,不管是哪种尺度的非均匀地表,非均匀斑块间的平流都对各斑块近地层结构产生重要影响,进而斑块近地层通量—梯度关系与相似理论产生偏差,其中风速梯度关系的偏差更为明显。最后,对目前大气模式中常用的基于相似理论的次网格非均匀地表通量参数化方法——Mosaic方法提出了改进思路。     

西北干旱区及高原上卫星遥感非均匀地表区域能量通量研究

介绍了目前利用Landsat TM和NOAA/AVHRR遥感资料进行非均匀地表区域地表能量通量和蒸发(蒸散)量研究的进展和存在的难点问题，并提出了解决问题的可能途径。     

用于非均匀地表通量估计的一种积分算子

在文献[1]的基础上,将Giorgi(1996)提出的通量计算方案进一步推广为非对称分布的简化形式,求得非均匀地表区域平均通量。以土壤水分饱和度为例,求解出土壤水分通量区域值的数学解析解形式,用随机仿真数据和实测资料对该方案进行数值模拟试验,验证其适用性。     

HEIFE非均匀陆面上区域能量平衡研究

卫星遥感在研究非均匀陆面上地－气间能量和水循环过程时有其独到的作用。本文介绍了一种利用陆地资源卫星ＴＭ资料进行非均匀陆面上区域能量平衡研究的参数化方案。以两个景的ＴＭ资料（１９９１年７月９日,夏季;１９９１年１０月２９日,近冬季）为个例,结合“黑河实验”（ＨＥＩＦＥ）期间的地面观测资料分析研究了实验区非均匀陆面上地表特征参数（地表反射率、标准化差值植被指数和地表温度）及能量平衡各分量（地表净辐射通量、土壤热通量、感热和潜热通量）的区域分布及季节差异,同时将所得的结果与地面观测的“真值”作了比较。结果表明：（１）由于黑河实验区下垫面状况十分复杂,戈壁、沙漠与绿洲交错分布,故在整个实验区内各地表特征参数及能量平衡各分量的分布范围亦比较宽;（２）地表特征参数及能量平衡各分量在实验区的绿洲、戈壁及沙漠上各有其特定的代表值;（３）地表能量平衡各分量的区域平均值在整个实验区内基本平衡;（４）夏季与近冬季的地表特征参数及能量平衡各分量的分布特征存在着显著差异。所得的这些结果与地面观测的“真值”和局地研究的结论基本一致。这些分析对非均匀下垫面中尺度模式陆面过程参数化方案的建立以及模式预报效果的检验都具有不可缺少的重要意义。     

干旱半干旱区非均匀地表区域能量通量的卫星遥感参数化

卫星遥感在估算非均匀地表区域能量通量时有其独到的作用。文中介绍了利用Landsat TM资料估算非均匀地表区域地表能量通量和蒸发(蒸散)量的参数化方案、研究结果和存在的难点问题。并提出了解决问题的可能途径。     

下垫面非均匀性的模拟

用美国大气科学中心ＧＥＮＥＳＩＳ模式中的陆面过程方案,我们在一个全球大气模式网格尺度范围内,研究了来自非均匀下垫面的水汽,能量等通量。基于３种不同的模拟下垫面非均匀性的方法,即马赛克法、混合法以及显式次网格法,我们设计了４种不同的试验。模拟结果表明,３种方法计算出的结果有很大的不同：地面吸收的太阳辐射差异达４％;感热通量达１２％;潜热通量达６６％;土壤水分可达３０％。这一结果说明有必要用实测数据来检验不同的模拟下垫面非均匀性的方法以及用区域气候模式来模拟下垫面的非均匀性。     

Parameterization of Heat Fluxes at Heterogeneous Surfaces by Integrating Satellite Measurements with Surface Layer and Atmospheric Boundary Layer Observations

The regional heat flux exchange between heterogeneous landscapes and the nearby surface layer (SL) is a key issue in the study of land-atmosphere interactions over arid areas such as the Heihe River basin in northwestern China and in high elevation areas such as the Tibetan Plateau. Based on analysis of the land surface heterogeneity and its effects on the overlying air flow, the use of SL observations, atmospheric boundary layer (ABL) observations, and satellite remote sensing (RS) measurements along with ...     

地表湿度及粗糙度非均匀分布情况下整体输送方法的初步研究

利用一个裸土与Pielke中尺度边界层的耦合模式，对大气环流模式网格尺度的地表湿度和粗糙度的非均匀分布情况下整体输送系数的平均方法进行了初步研究。首先估算了将单点陆面模式应用到大气环流模式的非均匀网格时所产生的误差，并且构造了一种有效阻抗的平均方法，与其他几种方法相比，它可以更有效地消除这种误差。     

非均匀下垫面陆面过程参数化问题研究进展

非均匀下垫面对陆面过程模式应用有着重要影响。若将下垫面一概视为均一,在很多情况下会影响模式模拟的准确性。本文详细介绍了目前非均匀地表陆面过程参数化的方法(Mosaic法、统计—动力法和其它方法),初步分析了这些参数化方法的缺陷,并简单探讨了陆面参数尺度转换问题,最后对今后研究的问题给出了建议,其中特别提出要寻找适当方法实现陆面物理量不同尺度间的转换。     

Evaporation over a Heterogeneous Land Surface: EVA_GRIPS and the LITFASS-2003 Experiment—An Overview

The Evaporation at Grid/Pixel Scale (EVA_GRIPS) project was realised in order to determine the area-averaged evaporation over a heterogeneous land surface at the scale of a grid box of a regional numerical weather prediction or climate model, and at the scale of a pixel of a satellite image. EVA_GRIPS combined surface-based and airborne measurements, satellite data analysis, and numerical modelling activities. A mesoscale field experiment, LITFASS-2003, was carried out in the heterogeneous landscape around the Meteorological Observatory Lindenberg (MOL) of the German Meteorological Service in May and June, 2003. The experiment was embedded in the comprehensive, operational measurement program of the MOL. Experimental determination of surface fluxes on a variety of spatial scales was achieved by employing micrometeorological flux stations, scintillometers, a combination of ground-based remote sensing instruments, and the Helipod, a turbulence probe carried by a helicopter. Surface energy fluxes were also derived from satellite data. Modelling work included the use of different Soil–Vegetation–Atmosphere Transfer schemes, a large-eddy simulation model and three mesoscale atmospheric models. The paper gives an overview on the background of EVA_GRIPS, and on the measurements and meteorological conditions during LITFASS-2003. A few general results are discussed.     

Effects of Crop Growth and Development on Land Surface Fluxes

In this study, the Crop Estimation through Resource and Environment Synthesis model (CERES3.0) was coupled into the Biosphere-Atmosphere Transfer Scheme (BATS), which is called BATS CERES, to represent interactions between the land surface and crop growth processes. The effects of crop growth and development on land surface processes were then studied based on numerical simulations using the land surface models. Six sensitivity experiments by BATS show that the land surface fluxes underwent substantial changes when the leaf area index was changed from 0 to 6 m2 m-2. Numerical experiments for Yucheng and Taoyuan stations reveal that the coupled model could capture not only the responses of crop growth and development to environmental conditions, but also the feedbacks to land surface processes. For quantitative evaluation of the effects of crop growth and development on surface fluxes in China, two numerical experiments were conducted over continental China: one by BATS CERES and one by the original BATS. Comparison of the two runs shows decreases of leaf area index and fractional vegetation cover when incorporating dynamic crops in land surface simulation, which lead to less canopy interception, vegetation transpiration, total evapotranspiration, top soil moisture, and more soil evaporation, surface runoff, and root zone soil moisture. These changes are accompanied by decreasing latent heat flux and increasing sensible heat flux in the cropland region. In addition, the comparison between the simulations and observations proved that incorporating the crop growth and development process into the land surface model could reduce the systematic biases of the simulated leaf area index and top soil moisture, hence improve the simulation of land surface fluxes.     

Results from One-Year Continuous Operation of a Large Aperture Scintillometer over a Heterogeneous Land Surface

A large-aperture scintillometer (LAS) was operated continuouslyduring a period of more than one year over a heterogeneous land surface in Central Europeat the transition between marine and continental climates. The LAS measurements of the refractiveindex structure parameter, C_N ², were used to estimate the sensible heat flux. Thiswas possible for about 60to 80% of the time under daytime conditions during thesummer, with lower values obtained for the cold season (October to March). Using datafrom a three-week long field experiment, the LAS-based heat flux was compared with a weighedaverage of local heat flux measurements over the main land use classes (forest, agriculture,water) in the area, resulting in reasonable agreement. LAS-based heat fluxes were then used forcomparison with the heat flux values of a numerical weather prediction model. An over-predictionof the model heat flux was found in summer but the modelled values were lower than the LASderived data during the cold season.