陆面过程模式CLASS径流模拟的改进和应用

针对陆面过程模式CLASS(Canadian Land Surface Scheme)产流模拟方面的不足,提出考虑壤中流产流机制的产流模拟方案。利用淮河流域能量和水分循环试验(HUBEX)资料,在史灌河流域对改进前后的模型进行了对比试验。结果表明,产流模拟改进方案大大提高了CLASS的径流模拟能力,同时改善了模式对土壤含水量的模拟。     

初冬青藏高原冻土过程的数值模拟

利用改进了的加进NCAR陆面过程(LSM)的NCAR MM5大气模式中的土壤冻融过程参数化方案和2001年10月2～30日的NCEP再分析资料,对青藏铁路沿线区域进行数值模拟试验。在新方案中改进了土壤径流和土壤渗透影响土壤层的水文过程,增加了对土壤含冰量的求解,较真实地反映了土壤的冻融过程。模拟结果表明,改进土壤冻融过程方案后,模式对地温、地面通量的模拟有一定的改进,能够反映土壤冻结初期陆面要素场的变化。     

CLM4.0土壤水分传输方案改进在青藏高原陆面过程模拟中的效应

利用2010年5月25日-12月31日玛曲高寒草原的气象观测资料和陆面过程模式(CLM4.0)对玛曲高寒草原陆面过程进行了数值模拟。通过评估模式的模拟性能、模式对含砂量的敏感程度以及模式土壤水分传输方案改进对青藏高原地区陆面过程模拟的影响,发现CLM4.0模式能较好地再现观测站土壤温、湿度、地表辐射、湍流通量等的变化趋势,但土壤温度模拟偏低,感热通量模拟偏大;含砂量增多会减弱土壤的持水能力,使得夏季感热通量增大而潜热通量减小;CLM4.0模式中新引入的有机质对土壤温、湿度模拟均有重要影响,Richards方程和径流计算的修改则对土壤含水量模拟影响较大,这对其他陆面模式的改进具有一定的指导意义。     

一种陆面过程模式对径流的模拟研究

径流在陆面模式水量平衡计算中占有重要地位,它不但与土壤水的动态变化有关,而且会影响感热、潜热等其他通量的计算结果.作者针对陆面过程模式AVIM(Atmosphere VegetationInteraction Model)对产流描述的不足,改进模式中对径流的参数化方法.并将改进后的模式用于内蒙古的锡林河流域,以检验模式对径流的模拟能力.1991～1994年的径流模拟结果表明,改进后的模式对径流的模拟有较好的改善.     

一个改进的陆面过程模式及其模拟试验研究第一部分:陆面过程模式及其“独立(off-line)”模拟试验和模式性能分析

文中在综合比较过去各类陆面过程模式优缺点的基础上,主要参考ＢＡＴＳ模式,发展了一个陆面过程模式（ＬＰＭ－ＺＤ）。它具有以下几个特征：１．采用物理方程和经验解析公式相结合的方法进行土壤温度和土壤水汽的求解。在上层土壤,土壤分层较细并采用温度传导和水汽扩散方程求解,而在下层土壤,土壤分层较粗并利用经验方法处理。２．考虑了降水分布的次网格特征及其对陆面水文产生的重要影响。３．较全面地考虑了雪盖对陆面过程的各种影响：对陆面水文的影响、对土壤热传导的影响以及雪盖的高反照率对辐射收支的影响。利用３组单点观测试验资料对陆面过程模式ＬＰＭ－ＺＤ进行了“独立（ｏｆ－ｌｉｎｅ）”模拟试验。模拟结果表明陆面过程模式ＬＰＭ－ＺＤ具有较好的模拟性能,能够比较准确地模拟不同气候区的多种下垫面类型的陆面过程变化特点,模拟结果与观测基本一致。进而又利用一组观测资料和模式ＬＰＭ－ＺＤ进行了一系列敏感性模拟试验,试验结果表明模式ＬＰＭ－ＺＤ对一些参数的确定非常敏感,如初始土壤水汽、植被的物理特性参数以及降水次网格分布因子等,因此提高确定这些参数的准确性是改进陆面模式的重要内容之一。     

区域气候模式中径流计算方案的数值试验

采用由曼宁方程推导而来的动力波方程来改进陆面模式BATS中的径流计算方案，并将改进径流方案后的BA偈模式应用到区域气候模式RegCM2中。利用1998年6—8月T106资料做边界场，对改进后的区域气候模式在中国东部地区进行检验。模拟结果表明，改进后的方案在夏季6—8月内模拟的径流值达到80—500mm左右，较原方案模拟的径流量（30—80mm）更加接近径流实况（50—500mm），体现了径流的大尺度平流效应。取单站（武汉）的模拟结果与原模式进行比较，发现模拟场的平均气温与实况场的误差较原模式减小了0．66℃，几次明显的降水过程也有很好的模拟。文中还分析了气温、降水、土壤含水量、蒸发等量的模拟情况。     

土壤-植被-大气系统水分散失机理的数值模拟

以Eeardorff(1978)提出的陆面参数化方案和Noilhan等人(1989)土壤水分参数化方案为基础,对陆面物理过程参数化方案进行了改进,在模式中较详细地考虑了植被和地面的各种物理参量如地面和叶面的反射率和发射率,净叶面面积指数,植被的物理阻抗等,并与大气边界层模式耦合。应用该模式模拟了沙漠及绿洲地区不同植被覆盖率情况下的蒸散量、土壤含水量和表面温度的日变化和连续变化特征;对不同植被覆盖率的热量平衡特征进行了比较。结果表明该模式较好地反映了地表蒸散3阶段的变化趋势特征,揭示出下垫面热量平衡分量间的相互转换过程。该模式可以用于中尺度的气象和区域气候模式,模拟和预测不同植被覆盖情况下近地层的热量输送和水分散失情况。     

中国西部陆面过程次网格地形参数化的改进对区域气温和降水模拟的影响研究

地表作为大气模块的下垫面,为大气模块提供边界条件,地形对于模式结果的准确性起到至关重要的作用。现有的陆面过程模式在陆面同一网格内的次网格单元采用相同的大气强迫量,没有考虑次网格地形对网格内大气强迫量的影响,这关系到模式对气象要素和陆气交换量的模拟水平。本文在陆面模式NOAH处理次网格单元的同时,将输入的大气强迫量根据其与地形高度的关系进行修订,提出新的次网格地形的参数化方案,并引入到WRF（Weather Research and Forecasting）模式中进行数值试验,通过3组数值模拟试验,与未改进的方案和细网格方案分析比较,探讨新参数化方案对WRF 模式模拟结果的影响。结果表明:地形越复杂区域,次网格地形的影响越大。本文引入的新陆面次网格地形方案对天山山脉和昆仑山脉以及青藏高原南部的地表气温的模拟有较大改善,模拟的地表气温在大范围区域内都更贴近细网格方案。虽然新陆面次网格地形方案和细网格试验都对温度的模拟结果都有改善,但新陆面次网格地形方案对降水的模拟改善甚微,而细网格试验对降水模拟却有改进,这是由于细网格试验在陆面和大气网格都进行了细化,而新陆面次网格地形方案只考虑了陆面次网格的影响。具体来说,新陆面次网格地形方案对温度的模拟结果改进是通过改变地表向上长波和地表感热实现的。而细网格试验由于同时细化了大气和陆面的空间网格,对降水和温模拟的改进是通过综合改变地表能量平衡实现的。     

基于GRAPES的气象-水文模式在淮河流域的一次试验

Global-regional assimilation and prediction system(GRAPES)模式为中国气象局于2000年开始组织研究开发的数值预报系统,GRAPES_Meso模式是其区域中尺度数值预报系统版。GRAPES_Meso中的陆面模式选取的是Noah-Land Surface Model(NOAH-LSM)模式。NOAH-LSM陆面模式选取Simple Water Balance(SWB)对陆面水文过程进行描述。SWB是一个简单水量平衡模型,不能完整地描述陆面水文过程,特别是对径流的模拟存在不足。随着GRAPES_Meso模式不断的发展,对预报能力的要求逐渐提高,对其陆面模式中产流过程的描述也需要进一步的研究。本文中所应用的改进陆面水文过程的NOAH-LSM陆面模式,借鉴了水文模型的思想,利用蓄水容量曲线描述单元网格内产流面积的变化,并在模式中增加Muskingum汇流模块,完整陆面模式水文循环。将原GRAPES模式和改进陆面水文过程的GRAPES模式分别与新安江模型进行单向耦合,选取模式TS评分相差不大的试验流域——淮河流域上游控制站王家坝站,进行流量模拟对比。从试验结果可以看出,改进后的模式在洪量相对误差、洪峰相对误差、确定性系数上均优于原模式,并为未来利用水文模型对降水落区检验进行了探索性研究。     

利用气象资料计算陆面实际蒸发量

陆面蒸发量可以根据水量平衡原理用降水量减径流量计算得出,或者在测得或间接算出土壤含水量后用蒸发模式加以计算。本文目的在于探讨不涉及径流和土壤含水量资料,仅用一般气象观测资料来计算陆面蒸发量的方法。 1.计算原理与方法     

Numerical Simulation and Evaluation of a New Hydrological Model Coupled with GRAPES

Hydrological processes exert enormous influences on the land surface water and energy balance, and have a close relationship with human society. We have developed a new hydrological runoff parameterization called XXT to improve the performance of a coupled land surface-atmosphere modeling system. The XXT parameterization, which is based upon the Xinanjiang hydrological model and TOPMODEL, includes an optimized function of runoff calculation with a new soil moisture storage capacity distribution curve(SMSCC). We then couple XXT with the Global/Regional Assimilation Prediction System (GRAPES) and compare it to GRAPES coupled with a simple water balance model (SWB).For the model evaluation and comparison, we perform 72-h online simulations using GRAPES-XXT and GRAPES-SWB during two torrential events in August 2007 and July 2008, respectively. The results show that GRAPES can reproduce the rainfall distribution and intensity fairly well in both cases. Differences in the representation of feedback processes between surface hydrology and the atmosphere result in differences in the distributions and amounts of precipitation simulated by GRAPES-XXT and GRAPES-SWB. The runoff simulations are greatly improved by the use of XXT in place of SWB, particularly with respect to the distribution and amount of runoff. The average runoff depth is nearly doubled in the rainbelt area, and unreasonable runoff distributions simulated by GRAPES-SWB are made more realistic by the introduction of XXT. Differences in surface soil moisture between GRAPES-XXT and GRAPES-SWB show that the XXT model changes infiltration and increases surface runoff. We also evaluate river flood discharge in the Yishu River basin. The peak values of flood discharge calculated from the output of GRAPES-XXT agree more closely with observations than those calculated from the output of GRAPES-SWB.     

具有Horton及Dunne机制的径流模型在VIC模型中的应用(英)

地表径流主要由蓄满(Dunne)和超渗产流(Horton)机制产生;土壤性质的空间变异性、前期土壤水、地形及降水的空间变异性导致不同的径流机制。在研究区域或模型网格内,蓄满产流及超渗产流可能同时出现,缺乏考虑任何一种机制以及土壤性质的次网格空间变率可能导致地表径流的过高或过低估计,从而影响土壤水的计算。利用Philip入渗公式用于时间压缩逼近(TCA)给出了一种径流参数化方法,该方法可以动态实现模型网格中的Horton及Dunne产流机理,它考虑了土壤空间变异性对Horton和Dunne径流的影响。该径流模型应用到基于水文原理的陆面过程模型VIC,在淮河流域及美国宾西法尼亚州的一个流域进行了测试,结果表明:新的参数化方法对地表径流和土壤水分含量的分配起着重要作用,对于改进径流和土壤水的模拟有重要意义。     

Improving a subgrid runoff parameterization scheme for climate models by the use of high resolution data derived from satellite observations

In this study it is shown that the availability of a very high resolution dataset of land surface characteristics leads to the improvement of a surface runoff parameterization scheme. The improved parameterization scheme was developed for application in global and regional climate models and is a further development of the Arno scheme that is widely used in climate models. Here, surface runoff is computed as infiltration excess from a "bucket" type reservoir which takes the subgrid variability of soil saturation within a model gridbox into account. Instead of prescribing a distribution of subgrid scale soil water capacities as in the original Arno scheme, the array of high resolution soil water capacities taken from a global 1 km dataset of land surface parameters is used to obtain individual fractional saturation curves for each model gridbox. From each saturation curve, the three parameters (a shape parameter describing the shape of the subgrid distribution of soil water capacities, subgrid minimum and maximum soil water capacity) required in the modified formulation of the scheme are derived via optimization. As in the original Arno scheme applied in the ECHAM general circulation model and the REMO regional climate model, topography variations will influence the distribution of saturated subgrid areas within a model gridbox. At most gridboxes the net effect of these changes is such that more runoff is produced for high soil water contents and less runoff for low soil water contents. A validation of simulated discharge computed with a simplified land surface scheme applied to reanalysis data of the European Centre for Medium-Range Weather Forecasts and a hydrological discharge model has shown that these changes lead to a more realistic simulation of the annual cycle of discharge for several catchments. In particular this could be shown for the Yangtze Kiang and Amur catchments where adequate input data are available.     

NUMERICAL SIMULATION ON THE RESPONSE OF LAND SURFACE TO SEVERE WEATHER*

A coupled model of RAMS3b(Regional Atmospheric Modeling System,Version 3b) and LSPM(a land surface process model),in which some basic hydrological processes such as precipitation,evapotranspiration.surface runoff,infiltration and bottom drainage are included,has been established.With the coupled model,we have simulated the response of soil to the sever eweather process which caused the disastrous flood in north italy during 4-7.November,1994,simultaneously compared with the observation and the original RAMS3b,which has a soil and vegetation parameterization scheme(hereafter,SVP) emphasizing on the surface energy fluxes,while some hydrological processes in the soil are not described clearly.The results show that the differences between coupling LSPM and SVP exist mainly in the response of soil to the precipitation.The soil in the SVP never saturates under the strong input of precipitation,while the newly coupled model seems better,the soil has been saturated for one day or more and causes strong surface runoff,which constitutes the flood.Further sensitivity experiments show that the surface hydrological processes are very sensitive to the initial soil moisture and soil type when we compared the results with a relatively dry case and sandy soil.The coupled model has potentiality for simulation on the interaction between regional climate and land surface hydrological processes,and the regional water resources research concerning desertification,drought and flood.     

Simulating evapotranspiration in a semi-arid environment

Summary In this work, simulations with the mesoscale meteorological model FOOT3DK for a semi-arid research site in southern morocco are presented. The main aim of this study is to introduce two different ways to improve the soil moisture distribution towards a more realistic pattern. One of them resembles the availability of groundwater resources below the lower boundary of the soil part of the model, the other one resembles irrigation practices in the region. Additionally, we introduce a newly derived land use/land cover data set obtained from analysis of LANDSAT data and compare the simulation results to those obtained with the USGS GLCC data. To evaluate the results with the refinements in soil moisture and land use/land cover, we focus on evapotranspiration, as the quantity which is most tentative to the changes in soil moisture and is an important part of the local hydrological cycle. To evaluate the importance of sub-grid scale surface heterogeneity in soil moisture and land use/land cover, we present simulations with enhanced surface resolution. Simulation results are compared to point measurements at different sites in the research area for validation.The results show, that a deep groundwater table and irrigation of parts of the research area can be represented by the methods we used. Simulated transpiration is overestimated compared to measured values, but this is due to the maximum approach used in this work. Finer tuning of the artificial enhancement of soil moisture with the two methods presented here are expected to lead to realistic distributions of evapotranspiration and related quantities, therewith drastically enhancing simulation accuracy for this site. As uncertainties of soil moisture distribution and restricted representation of soil moisture dynamics in meteorological models is a common problem especially for arid and semi-arid sites, we expect our results to be useful for meteorological simulations in other arid or semi-arid areas as well.     

Sensitivity of the hydrological cycle to the parametrization of soil hydrology in a GCM

 The sensitivity of the hydrological cycle to soil hydrology is investigated with the LMD GCM. The reference simulation includes the land-surface scheme SECHIBA, with a two-reservoir scheme for soil water storage and runoff at saturation. We studied a non-linear drainage parametrization, and a distributed surface runoff parametrization, accounting for the subgrid scale variability (SSV) of soil moisture capacity, through a distribution where the shape parameter was b. GCM results show that the drainage parametrization induces significant reductions in soil moisture and evaporation rate compared to the reference simulation. They are related to changes in moisture convergence in the tropics, and to a precipitation decrease in the extratropics. When drainage is implemented, the effect of the SSV parametrization (b=0.2) is also to reduce soil moisture and evaporation rates compared to the simulation with drainage only. These changes are much smaller than the former, but the sensitivity of the hydrological cycle to the SSV parametrization is shown to be larger in dry periods, and to be enhanced by an increase of the shape parameter b. The comparison of simulated total runoffs with observed data shows that the soil hydrological parametrizations does not reduce the GCM systematic errors in the annual water balance, but that they can improve the representation of the total runoff’s annual cycle.     

土壤质地对中国区域陆面过程模拟的影响

利用陆面过程模式(CLM3.5)和中国区域两种土壤质地数据(分别来自第二次中国土壤调查SNSS和联合国粮食农业组织FAO),研究了土壤质地变化对于模式模拟的陆表水热变量的影响。结果显示,土壤质地对土壤水文学变量的影响远大于对土壤热力学变量的影响,尤其是对于饱和土壤含水量和饱和水力传导率的影响。对于模式的输出,土壤质地影响比较明显的有土壤湿度、总径流和土壤渗透等水文学变量以及地表潜热、地表感热和土壤热通量等热力学变量,而影响相对较小的有地面吸收的太阳辐射和地表反照率。同时,发现基于SNSS模拟的土壤湿度与站点观测值更加接近。因此,本研究认为基于SNSS土壤质地数据可以有效地改进模式模拟结果,建议以后在陆面模式试验中尽可能使用以观测为基础的SNSS土壤质地数据。     

The soil moisture of China in a high resolution climate-vegetation model

1. Introduction The soil moisture plays an important role in in- fluencing the climate change by altering the surface albedo, soil heat capacity and the heat flux between air and land (Ma et al., 2001). Near-surface soil mois- ture controls the partitioni…     

植被覆盖异常变化影响陆面状况的数值模拟

利用NCAR最新的公用陆面模式CLM3．0，通过数值模拟初步研究了植被叶面积指数（LAI，leafareaindex）异常变化对陆面状况的可能影响，结果表明，植被LAI的异常变化能够引起地表能量平衡、地表水循环等陆面状况的异常。（1）植被LAI的异常变化主要影响太阳辐射在植被与地表之间的分配，以及地表的感热、潜热通量。植被LAI增大，能够引起植被吸收的太阳辐射增加，而到达土壤表面的太阳辐射减小，并导致植被的蒸发、蒸腾潜热通量增加，造成地表的蒸发潜热和感热通量不同程度的减小。（2）植被LAI增大时，植被对降水的拦截和植被叶面的蒸发增大，植被的蒸腾作用也明显增强；植被LAI增加会使得热带地区各个季节的土壤表面蒸发、地表径流减小，而土壤湿度有所增加；LAI增加造成中高纬度地区土壤蒸发的减少主要出现在夏季；LAI增加还能够引起中高纬地区冬、春积雪深度不同程度的增加，造成春末、夏初地表径流的增加。（3）植被LAI增加能够使得叶面和土壤温度有所下降，但植被LAI的变化对叶面、土壤温度的影响相对较小。     

NUMERICAL SIMULATION ON THE RESPONSE OF LAND SURFACE TO SEVERE WEATHER

A coupled model of RAMS3b(Regional Atmospheric Modeling System,Version 3b)andLSPM(a land surface process model),in which some basic hydrological processes such asprecipitation,evapotranspiration.surface runoff,infiltration and bottom drainage are included,has been established.With the coupled model,we have simulated the response of soil to the severeweather process which caused the disastrous flood in north italy during 4-7.November,1994,simultaneously compared with the observation and the original RAMS3b,which has a soil andvegetation parameterization scheme(hereafter,SVP)emphasizing on the surface energy fluxes,while some hydrological processes in the soil are not described clearly.The results show that the differences between coupling LSPM and SVP exist mainly in theresponse of soil to the precipitation.The soil in the SVP never saturates under the strong input ofprecipitation,while the newly coupled model seems better,the soil has been saturated for one dayor more and causes strong surface runoff,which constitutes the flood.Further sensitivityexperiments show that the surface hydrological processes are very sensitive to the initial soilmoisture and soil type when we compared the results with a relatively dry case and sandy soil.The coupled model has potentiality for simulation on the interaction between regional climateand land surface hydrological processes,and the regional water resources research concerningdesertification,drought and flood.