基于土壤植被不同参数化方法的流域蒸散发模拟

植被和土壤是水循环中的重要载体,模拟流域水循环时植被和土壤的参数化也显得尤为重要。通过对比流域蒸散发模拟中分布式模型和集总式概念模型的土壤植被参数化方法,计算了潘家口水库流域不同时间尺度上的流域蒸散发,分析了不同时间尺度下流域蒸散发的影响因素。通过分析得出:(1)分布式水文模型中的植被参数化方法包括对植被时空分布与变化的描述,以及与之相关的土壤-植被-大气中水分和能量的传输过程的描述。(2)从GBHM模型与流域水热耦合平衡模型的对比分析可知,在流域尺度上,年实际蒸散发与潜在蒸散发之间呈互补的高度非线性关系;但在山坡和小时时间尺度上,实际蒸散发与潜在蒸散发之间呈正比关系,并可近似为线性正比关系。(3)基于流域水热耦合平衡模型在不同时间尺度的参数化分析可知,考虑植被土壤水分和植被覆盖度能改善对流域蒸散发的年际和季节变化的模拟精度;土壤水分和植被的影响随着时间尺度变小表现得越来越显著。     

不同辐射参数化方案对南京地区大雾过程数值模拟的影响

为了比较不同长、短波辐射参数化方案对江苏省大雾过程的模拟效果,本文利用WRF模式,通过设计不同长、短波辐射参数化方案,对江苏省2015年5月18—21日和12月20—21日2次典型大雾过程进行了数值模拟,讨论了模式中不同长、短波辐射参数化方案对江苏省大雾过程的模拟影响。采用平均绝对误差(MAR)、均方根误差(RMSE)、皮尔逊相关系数(r)及中国气象局颁布的雾区预报规定,评价得到不同条件的最优模拟方案。结果表明:(1)热力条件与水汽条件,模拟最优方案为长波GFDL方案与短波RRTMG方案组合。(2)动力条件,最优辐射参数化方案组合为CAM方案与FLG方案组合。(3)雾区的模拟,效果最好的方案为长波GFDL方案与短波RRTMG方案的组合。     

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。     

The soil hydrologic response to forest regrowth: a case study from southwestern Amazonia

As a large and dynamic land‐use category, tropical secondary forests may affect climate, soils, and hydrology in a manner different from primary forests or agricultural areas. We investigated the saturated hydraulic conductivity K_sat of a Kandiudult under different land uses in Rondonia, Brazil. We measured K_sat at four depths (12·5, 20, 30 and 50 cm) under (a) primary forest, (b) a former banana–cacao plantation (SF1), and (c) an abandoned pasture (SF2). At 12·5 cm, all three land uses differ significantly (α = 0·1), but not at the 20 and 30 cm depths. At 50 cm, K_sat was significantly greater in the former pasture than in other land uses. Lateral subsurface flow is expected during intense rainfall (about 30 times per year) at 30 cm depth in SF1 and at 50 cm depth in the forest, whereas the relatively low permeability at shallow 12·5 cm in the SF2 may result not only in lateral subsurface flow, but also saturation overland flow. For modelling purposes, recovering systems seem to have K_sat values distinct from primary forest at shallow depths, whereas at deeper layers (>20 cm) they may be considered similar to forests. Copyright © 2002 John Wiley & Sons, Ltd.     

一维热扩散湖模式在太湖的应用研究

太湖微气候条件及局地热环境的研究对于太湖周边城市地区可持续发展以及大气宏观调控具有重要意义。为了更准确模拟太湖湖-气交换,将CLM4-LISSS浅水湖泊陆面过程参数化方案耦合进入WRF中的Noah陆面过程模型。采用太湖湖上平台及岸边陆上测站观测的数据,评估了CLM4-LISSS浅水湖泊过程方案对太湖区域近地层气象条件的模拟性能。并基于耦合模型模拟研究了太湖对周边城市区域热环境的影响。结果表明,CLM4-LISSS湖泊陆面过程方案模拟的湖表面温度能反映真实温度的变化趋势。两种陆面过程方案在2 m气温的模拟值也存在一定的差异。CLM4-LISSS与Noah方案计算所得湖上2 m气温的模拟值与观测值的平均均方根误差分别为1.77和2.22℃,平均相关系数分别为0.88和0.84;模拟10 m风速的平均均方根误差分别为1.93和2.78 m/s,平均相关系数为0.72和0.68。太湖对周边城市热环境存在明显的影响。8月太湖对周边地区15时（北京时）近地层平均降温0.5-0.7℃,影响范围达60 km。06时太湖导致周边近地层平均升温达0.7-1℃,影响范围达50 km。湖风带来的冷空气抑制了城市热岛的垂直运动,在高温天气下使得苏州、无锡和常州城市地区昼间边界层下降高度可达300、400和100 m。无锡地区边界层内气温最高降幅可达0.5-0.7℃。通过选取无锡地区2015年8月28日高温小风天气作为背景条件,分析该地区湖风对城市热岛环流的影响机制。结果表明湖风能够破坏无锡地区的热岛环流结构,改变近地面热量和水汽的分布,抑制城市热岛的垂直发展,并影响至整个无锡地区。局地热力环流的变化对于局地气候以及污染物质的输送与扩散有可能产生重要影响,准确的湖泊陆面过程参数化方案对于天气预报、空气污染模拟,以及气候模拟研究等均具有重要意义。     

内蒙古苏尼特左旗地区堆晶角闪辉长岩的发现及地质意义

通过详细的野外工作和室内研究，发现苏尼特左旗附近较广泛地分布有一种主要由角闪石和外长石组成的堆晶岩，其化学成分属基性岩范畴，可定名为堆晶角闪辉长岩。这类岩体具清楚的层状构造、堆晶结构．岩石化学成分、稀土元素、结构和构造等特征均表明，该类岩石是由富水的拉斑玄武岩浆经分离结晶作用形成的，是造山带火成岩组合中的一个主要组成部分，形成于造山构造岩浆旋回的早期阶段。     

MM5中新边界层方案的引入和对比试验

本文介绍了一种新的边界层方案，即E－ε－1方案，并用五种层结下的通量廓线关系计算地面通量，将其引入到中尺度数值天气预报模式MM5中，并用新的边界层方案对江淮流域存季暴雨进行了短期模拟，与此同时，对新的方案和模式原有的各种边界层方案作了比较，对此得到了一些有价值的结果。     

Sensitivity of the Simulated Tropical Intraseasonal Oscillation to Cumulus Parameterizations

The sensitivity of the simulated tropical intraseasonal oscillation or MJO (Madden and Julian oscilla tion)to different cumulus parameterizations is studied by using an atmospheric general circulation model (GCM)-SAMIL(Spectral Atmospheric Model of IAP LASG).Results show that performance of the model in simulating the MJO alters widely when using two different cumulus parameterization schemes-the moist convective adjustment scheme(MCA)and the Zhang-McFarlane(ZM)scheme.MJO simulated by the MCA scheme was found to be more realistic than that simulated by the ZM scheme.MJO produced by the ZM scheme is too weak and shows little propagation characteristics.Weak moisture convergence at low levels simulated by the ZM scheme is not enough to maintain the structure and the eastward propagation of the oscillation.These two cumulus schemes produced different vertical structures of the heating profile.The heating profile produced by the ZM scheme is nearly uniform with height and the heating is too weak compared to that produced by the MCA,which maybe contributes greatly to the failure of simulating a reasonable MJO.Comparing the simulated MJO by these two schemes indicate that the MJO simulated by the GCM is highly sensitive to cumulus parameterizations implanted in.The diabatic heating profile plays an important role in the performance of the GCM.Three sensitivity experiments with different heating profiles are designed in which modified heating profiles peak respectively in the upper troposphere(UH), middle troposphere(MH),and lower troposphere(LH).Both the LH run and the MH run produce eastward propagating signals on the intraseasonal timescale,while it is interesting that the intraseasonal timescale signals produced by the UH run propagate westward.It indicates that a realistic intraseasonal oscillation is more prone to be excited when the maximum heating concentrates in the middle-low levels,especially in the middle levels,while westward propagating disturbances axe more prone to be produced when the maximum heating appears very high.     

Geophysical flows under location uncertainty,Part II Quasi-geostrophy and efficient ensemble spreading

Models under location uncertainty are derived assuming that a component of the velocity is uncorrelated in time. The material derivative is accordingly modified to include an advection correction, inhomogeneous and anisotropic diffusion terms and a multiplicative noise contribution. In this paper, simplified geophysical dynamics are derived from a Boussinesq model under location uncertainty. Invoking usual scaling approximations and a moderate influence of the subgrid terms, stochastic formulations are obtained for the stratified Quasi-Geostrophy and the Surface Quasi-Geostrophy models. Based on numerical simulations, benefits of the proposed stochastic formalism are demonstrated. A single realization of models under location uncertainty can restore small-scale structures. An ensemble of realizations further helps to assess model error prediction and outperforms perturbed deterministic models by one order of magnitude. Such a high uncertainty quantification skill is of primary interests for assimilation ensemble methods. MATLAB^® code examples are available online.     

不同对流参数化方案试验中凝结加热的特征及对暴雨中尺度模拟结果的影响

使用20 km分辨率的MM5模式,分别选用KUO,GRELL,KAIN-FRITSCH和BETTS-MILLER(以下简称KU,GR,KF和BM)等4种不同对流参数化方案,对1996年8月3~4日石家庄特大暴雨过程作数值模拟试验,分析比较了4个不同试验中网格尺度(显式方案)和次网格尺度(对流参数化方案)凝结加热的水平、垂直分布和时变特征;研究探讨了凝结加热分布及差异对暴雨中尺度模拟结果的可能影响。分析显示,暴雨过程中,4个不同对流参数化方案试验所得到的次网格尺度凝结加热基本都呈单峰特征、加热峰值在对流层中层,但加热层厚度和强度在不同试验间存在差别;4个试验的网格尺度凝结加热的垂直范围表现出较好的一致性,加热重心位于对流层低层,但加热强度仍有所不同;GR和KF及BM试验的总凝结加热率的垂直分布特征主要受其网格尺度凝结加热率特征的影响、加热重心在对流层低层,而KU试验的总凝结加热率的垂直分布特征由其次网格尺度凝结加热率特征所决定、加热重心在对流层中层。研究表明,尽管4个试验在暴雨期间总凝结加热的垂直分布差异并不显著,但对暴雨中尺度模拟的影响却不能忽视。凝结加热的分布特征及演变直接影响与暴雨发生发展密切关联的物理量场的中尺度结构和演变;凝结加热对暴雨中尺度的影响具有连锁性,由加热差异波及局部环流细致结构和强度及其变化的差异,进而影响暴雨发生发展的细致特征。在20 km或更高一些分辨率的条件下,对于描述温带/中纬度暴雨的发展和结构,选用KF方案得到的模拟结果可能更具物理合理性;而KU方案模拟结果容易出现格点气柱的水汽和温度被过量调整的不合理情况。要得到一个可信的中尺度模拟结果,对降水模拟结果进行细化特征的验证、特别是随时间演变特征的验证分析是非常重要的,因为降水的细致演变特征与凝结加热及与之相联系的物理量场的中尺度演变特征密切关联。