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1.
森林下垫面陆面物理过程及局地气候效应的数值模拟试验 总被引：5，自引：0，他引：5
文中基于大气边界层和植被冠层微气象学基本原理 ,建立了一个森林植被效应的陆面物理过程和二维大气边界层数值模式。并应用该模式进行了植被和土壤含水量等生物和生理过程在陆面过程和局地气候效应方面的数值模拟试验。所得数值模拟试验结果与实际情况相吻合。结果表明 ,应用该模式可获得植被温度、植被冠层内空气温度、地表温度日变化特征 ;森林下垫面大气边界层风速、位温、比湿、湍流交换系数的时空分布和日变化特征。该模式还可应用于不同下垫面 ,模拟陆面物理过程与大气边界层相互作用机制及其局地气候效应的研究 ,这将为气候模式与生物圈的耦合研究奠定一个良好的基础。 相似文献
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半干旱区植被覆盖度对边界层气候热力影响的数值模拟 总被引：14，自引：0，他引：14
在陆－气相互作用的中小尺度系统研究中，水平非均匀下垫面的强迫作用是主要的物理过程。本文利用能量闭合二维陆面过程与大气边界层耦合模式，研究了我国西北半干旱地区（３８°Ｎ，１０５°Ｅ）夏季下垫面物理特征的变化对区域边界层气候的影响。结果表明：土壤湿度、植被覆盖度对局地环流和区域边界层气候的形成起着决定性的作用。模拟结果揭示了在半干旱地区大面积植树造林、提高植被覆盖度，可涵养土壤水分，改善局地生态环境，是人工持续改造干旱、半干旱荒漠地区局地气候的重要途径。 相似文献
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将一个大气植被相互作用模式(AVIM)与大气所LASG的R15九层大气环流模式GOALS相耦合．用来模拟多年平均的全球气候状况。AVIM是一个陆地表面陆面和生理过程相互反馈的模型。作为陆气耦合的第一步,暂不考虑AVIM中的生理过程,而首光将其物理过程[相当于通常的SVAT(土壤—植被—大气—传输方案)模型]与大气所LASG的九层大气环流模式耦合起来．其中海洋模式部分不参与积分,海面温度是多年平均的气候伯。考虑到GCM的分辨率较低(7．5°×4．5°)而植被分布必须有较高的分辨率(1.5°×1.5°),采取广大气与地表面粗细网格的嵌套耦合。模式积分15年,取最后10年的平均值作分析。将模拟的气候要素场与观测值和NCEP再分析资料作了比较,气候模拟结果反映了全球环流与温湿场的主要特征,特别是降水和地面气温的模拟效果较好。这为今后气候模式与生物圈的耦合奠定广一个良好的基础。 相似文献
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干旱半干旱地区植被气候效应的数值研究 总被引：7，自引：2，他引：7
本文利用三维土壤－植被－大气耦合的区域气候模式研究了干旱半干旱地区植被状况发生变化的短期气候效应，着重分析植被对海平面气压场、近地层气温和湿度、土壤温度、边界层风速、局地环流以及地面能量平衡和转换关系的影响，结果可为人们制定合理的农业种植制度，开发和利用有限的生物资源，推广植树种草绿化工程建设，改善区域气候环境提供一定的科学依据。 相似文献
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p—σ混合坐标全球模式模拟夏季气候的性能及系统性误差分析 总被引：4，自引：2，他引：4
将球带范围的ｐ－σ混合坐标系五层原始方程模式发展成为包含极区的全球大气环流模式，并用ＧＦＤＬ多年平均气候分析资料检验了模式对夏季气候平均状态的模拟性能，分析了ｐ－σ混合坐标系全球大气环流模式模拟夏季气候的系统性误差。结果表明：ｐ－σ混合坐标系全球大气环流模式能较好地模拟夏季气候平均态，各高度上的主要环流系统都可以模拟出来，与球带模式的结果相比有一定的改进，而且陆地上的模拟结果优于海洋上的。 相似文献
7.
植被变化对辽西夏季气候影响的数值试验 总被引：6，自引：0，他引：6
利用2001年6、7、8月份的资料及中尺度模式MM5V3．5对当年夏季辽西生态脆弱区进行了气候模拟性能试验，模拟出植被退化和恢复后辽西地区的温度变化。试验结果表明：在辽西部分地区植被退化后，当地夏季平均温度明显升高；在部分地区植被恢复后，当地夏季平均温度降低；在下垫面状况改变的周边地区，平均温度有一定程度的变化。同时，植被状况的改变对高空气压场和温度场也产生一定影响。 相似文献
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文章提出了一种简单且适用于大气环流模式（GCM）的冰云辐射参数化。利用该参数化和UGAMP大气环流模式研究了混合云在GCM气候模拟中的重要性。结果表明，云的相态变化及其所产生的反馈作用对模拟的气候状态有显著的影响。在高纬地区，云的相态变化可使地气系统净辐射增加。而在热带则使净辐射减少。 相似文献
9.
利用动态植被模型CLM4-CNDV、区域气候模式RegCM4.6-CLM3.5和全球气候模式CAM4探究了当前气候状态下东亚区域可能的自然植被分布以及自然植被恢复对东亚区域气候产生的可能影响。结果表明,当前气候条件下,农作物区可能分布的自然植被为:蒙古高原以北、东北、华北平原和四川盆地的部分地区为裸土;东亚东南部及蒙古高原以北地区主要为林地;四川盆地及山东半岛主要为灌木;东北地区、东南沿海和长江中下游地区主要为草地。将农作物区恢复为自然植被后将对区域气候产生显著影响。其中,东亚东部大部分地区由于植被叶面积指数增加引起的蒸散发增强,使得夏季降水增加且温度降低显著;华北、四川盆地和广东中部平原地区植被叶面积指数减小,伴随区域内夏季降水显著减少且温度升高。而蒙古高原地区的气候变化不仅受区域内植被覆盖变化影响,还可能与印度地区和我国东南部植被变化引起的大气环流调整有关,使得蒙古高原西部冬季温度降低,而其东部夏季温度升高,同时夏季降水减少显著。研究所采用的试验方案是在相对理想的情况下进行的,但其结果为进一步区分不同地区植被覆盖变化的影响提供一定的参考。 相似文献
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Surface heat and moisture fluxes are important to the evolution of a tropical storm after its landfall. Soil moisture is one of the essential components that influence surface heating and moisture fluxes. In this study, the impact of soil moisture on a pre-landfall numerical simulation of Tropical Storm Bill(2015), which had a much longer lifespan over land, is investigated by using the research version of the NCEP Hurricane Weather Research and Forecasting(HWRF) model. It is found that increased soil moisture with SLAB scheme before storm's landfall tends to produce a weaker storm after landfall and has negative impacts on storm track simulation. Further diagnoses with different land surface schemes and sensitivity experiments indicate that the increase in soil moisture inside the storm corresponds to a strengthened vertical mixing within the storm boundary layer, which is conducive to the decay of storm and has negative impacts on storm evolution. In addition, surface diabatic heating effects over the storm environment are also found to be an important positive contribution to the storm evolution over land, but their impacts are not so substantial as boundary layer vertical mixing inside the storm. The overall results highlight the importance and uncertainty of soil moisture in numerical model simulations of landfalling hurricanes and their further evolution over land. 相似文献
12.
水汽空间分布对大气船舶重力波影响的数 值试验 总被引：4，自引：0，他引：4
利用中尺度数值模式ARPS模拟研究了水汽在山脉重力波和大气船波的产生和演变中的作用。研究发现水汽和非绝热效应对大气船波的影响与水汽的空间分布有关,大气船波的产生和演变对水汽的空间分布具有极端的敏感性,在一定条件下水汽的引入有可能减少大气船波的活动。对于3层模式结构的气流过山而言,如果初始的水汽分布在中层大气,则水汽和非绝热效应对大气船波的影响较小,而如果初始的水汽分布在中下层大气,则引入水汽后减少了大气船波的强度,但是如果初始的水汽分布在整个模式大气层,则水汽的引入减少了大气船波的活动。 相似文献
13.
陆面过程模式对土壤含水量初值的敏感性研究 总被引：30，自引：6，他引：24
利用IAP94陆面过程模式,采用淮河流域能量与水份循环试验(HUBEX)期间两种下垫面(森林和旱田)、不同季节(5月、8月和11月)的观测资料,研究了模式对土壤含水量初值的敏感性.结果表明:对于森林和旱田下垫面,当土壤含水量减少时,地表净辐射均略有减少,同时潜热通量减少而感热通量增加.另外,模式对土壤含水量初值的敏感性有较明显的季节差异,相对而言在晚春和夏季较强,而在秋季明显减弱.这说明春夏季节的土壤含水量初值在淮河流域区域气候的模拟和预测中尤其值得关注. 相似文献
14.
Paul A. Dirmeyer 《Climate Dynamics》2013,41(3-4):1083-1097
The behavior of the water cycle in the Coupled Forecast System version 2 reforecasts and reanalysis is examined. Attention is focused on the evolution of forecast biases as the lead-time changes, and how the lead-time dependent model climatology differs from the reanalysis. Precipitation biases are evident in both reanalysis and reforecasts, while biases in soil moisture grow throughout the duration of the forecasts. Locally, the soil moisture biases may shrink or reverse sign. These biases are reflected in evaporation and runoff. The Noah land surface scheme shows the necessary relationships between evaporation and soil moisture for land-driven climate predictability. There is evidence that the atmospheric model cannot maintain the link between precipitation and antecedent soil moisture as strongly as in the real atmosphere, potentially hampering prediction skill, although there is better precipitation forecast skill over most locations when initial soil moisture anomalies are large. Bias change with lead-time, measured as the variance across ten monthly forecast leads, is often comparable to or larger than the interannual variance. Skill scores when forecast anomalies are calculated relative to reanalysis are seriously reduced over most locations when compared to validation against anomalies based on the forecast model climate at the corresponding lead-time. When all anomalies are calculated relative to the 0-month forecast, some skill is recovered over some regions, but the complex manner in which biases evolve indicates that a complete suite of reforecasts would be necessary whenever a new version of a climate model is implemented. The utility of reforecast programs is evident for operational forecast systems. 相似文献
15.
Evaluation of the atmospheric moisture and hydrological cycle in the NCEP/NCAR reanalyses 总被引：1，自引：0，他引：1
An evaluation is carried out of the moisture fields, the precipitation P and evaporation E, and the moisture transport and divergence in the atmosphere from the global atmospheric National Centers for Environmental Prediction (NCEP)–NCAR reanalyses produced with four-dimensional-data assimilation. The moisture fields are summarized by the precipitable water which is compared with analyzed fields from NVAP based primarily on Special Sensor Microwave Imager (SSM/I) over the oceans and rawinsonde measurements over land, plus TIROS Operational Vertical Sounder (TOVS). The moisture budgets are evaluated through computation of the freshwater flux at the surface E?P from the divergence of the total moisture transport, and this is compared with the reanalysis E?P that is based upon a 6-hour integration of the assimilating model and thus depends on the model parametrizations. The P field is evaluated using Xie– Arkin global precipitation estimates which, although containing considerable uncertainties, are believed to be reliable and good enough to show that there are substantial biases in the NCEP P. There are many fields of interest and which are improved over previous information available. On an annual mean basis the largest evaporation of over 6?mm/day is in the subtropical Indian Ocean. However, the NCEP moisture fields are shown to contain large and significant biases in the tropics. The tropical structures are less well defined and values are generally smaller where they should be high and higher where they should be low. In addition, the NCEP moisture fields contain less variability from year to year. The NCEP model P generally reveals a double intertropical convergence zone in the central Pacific and the location of the South Pacific Convergence Zone is not well captured. Rainfall amounts are lower than observed in the oceanic tropical convergence zones. The variability in the central tropical Pacific of P associated with El Niño-Southern Oscillation (ENSO) is underestimated in the NCEP reanalyses and, moreover, is not very well correlated with the Xie–Arkin product. A bias for too much rainfall in the model over the southeastern USA and southeast Asia is also present in northern summer. The comparison of E?P from the moisture budget with the model results reveal some strong systematic differences. In particular, remarkably, many island stations show up as bull’s-eyes in the difference field. These are identified as originating from small but systematic differences in vertical moisture profiles from those in the surrounding oceans, raising questions about the influence radius of rawinsonde moisture observations. Biases in E are inferred from the E?P differences in some places implying some spurious land moisture sources. While usually better, the residual method E?P estimates are inferior to those from the model parametrizations in some places. Both estimates are affected by biases in moisture, as analyzed, and the moisture divergence depends critically on the velocity divergence field. The model estimates also depend upon the parametrizations of subgrid scale processes, such as convection, that influence E and P. A discussion is given of sources of errors contributing to the moisture budgets. 相似文献
16.
利用WRF区域模式模拟分析了中南半岛地区春季土壤湿度异常对亚洲热带夏季风建立和发展的影响,结果表明:亚洲热带夏季风对中南半岛春季土壤湿度的响应是不对称的,当中南半岛春季土壤湿度偏高时,中南半岛及孟加拉湾周边地区呈现异常东风,伴随降水减少,季风减弱;而中南半岛春季土壤湿度偏低时,孟加拉湾及周边地区西风减弱,降水减少,季风也对应减弱。通过进一步分析物理机制得到,中南半岛春季土壤湿度异常偏高使季风建立初期感热减小,陆表温度明显降低,从而导致海陆温差逐渐降低,使季风减弱;而中南半岛春季土壤湿度异常偏低使整个中南半岛区域蒸发减少,导致地表向上输送的水汽减少,减弱季风环流和降水。此外,通过分析850 h Pa纬向风及对流层中上层经向温度梯度两项季风暴发指数,探讨了中南半岛春季土壤湿度异常对孟加拉湾东部季风暴发时间的影响,结果表明:中南半岛春季土壤湿度偏高时,孟加拉湾东部季风暴发时间大约推迟10天左右,而土壤湿度较低对亚洲热带夏季风暴发时间影响甚微。 相似文献
17.
Soil moisture prediction over the Australian continent 总被引：1，自引：0，他引：1
Dr. Y. Shao L. M. Leslie R. K. Munro P. Irannejad W. F. Lyons R. Morison D. Short M. S. Wood 《Meteorology and Atmospheric Physics》1997,63(3-4):195-215
Summary This paper describes an attempt to model soil moisture over the Australian continent with an integrated system of dynamic models and a Geographic Information System (GIS) data base. A land surface scheme with improved treatment of soil hydrological processes is described. The non-linear relationships between soil hydraulic conductivity, matric potential and soil moisture are derived from the Broadbridge and White soil model. For a single location, the prediction of the scheme is in good agreement with the measurements of the Hydrological and Atmospheric Pilot Experiment (HAPEX). High resolution atmospheric and geographic data are used in soil moisture prediction over the Australian continent. The importance of reliable land surface parameters is emphasized and details are given for deriving the parameters from a GIS. Predicted soil moisture patterns over the Australian continent in summer, with a 50 km spatial resolution, are found to be closely related to the distribution of soil types, apart from isolated areas and times under the influence of precipitation. This is consistent with the notion that the Australian continent in summer is generally under water stress. In contrast, predicted soil temperatures are more closely related to radiation patterns and changes in atmospheric circulation. The simulation can provide details of soil moisture evolution both in space and time, that are very useful for studies of land use sustainability, such as plant growth modelling and soil erosion prediction.With 12 Figures 相似文献
18.
Interactions between soil moisture, evapotranspiration (ET), atmospheric moisture fluxes and precipitation are complex. It is difficult to attribute the variations of one variable to another. In this study, we investigate the influence of atmospheric moisture fluxes and land surface soil moisture on local precipitation, with a focus on the southern United States (U.S.), a region with a strong humidity gradient and intense moisture fluxes. Experiments with the Weather Research and Forecasting model show that the variation of moisture flux convergence (MFC) is more important than that of soil moisture for precipitation variation over the southern U.S. Further analyses decompose the precipitation change into several contributing factors and show that MFC affects precipitation both directly through changing moisture inflow (wet areas) and indirectly by changing the precipitation efficiency (transitional zones). Soil moisture affects precipitation mainly by changing the precipitation efficiency, and secondly through direct surface ET contribution. The greatest soil moisture effects are over transitional zones. MFC is more important for the probability of heavier rainfall; soil moisture has much weaker impact on rainfall probability and its roles are similar for the probability of intermediate-to-heavy rainfall (>10 mm day?1). Although MFC is more important than soil moisture for precipitation over most regions, the impact of soil moisture could be large over certain transitional regions. At the submonthly time scale, the African Sahel appears to be the only major region where soil moisture has a greater impact than MFC on precipitation. This study provides guidance to understanding and further investigation of the roles of local land surface processes and large-scale circulations on precipitation. 相似文献
19.
土壤湿度影响中国夏季气候的数值试验 总被引：10，自引：0，他引：10
利用"全球土壤湿度计划第2阶段"提供的土壤湿度资料强迫区域气候模式RegCM3,通过数值试验讨论了土壤湿度对东亚夏季气候模拟效果的影响。结果表明,合理考虑土壤湿度的作用,能够提高区域气候模式对中国夏季降水和2 m气温的空间分布型及逐日变化的模拟效果;模拟结果与观测的相关分析显示,降水和2 m气温的年际变化都得到了有效改进,这种改进在气温上尤为明显。不过上述改进具有区域依赖性。数值试验结果表明,气温对土壤湿度的敏感性强于降水,这也从一个侧面说明提高降水模拟效果的难度。总体而言,合理的土壤湿度能够提高区域气候模式对中国夏季气候的模拟能力。因此,合理描述土壤湿度的变化,是提高中国夏季气候预报技巧的潜在途径之一。 相似文献
20.
Ensemble regional model simulations over the central US with 30-km resolution are analyzed to investigate the physical processes of projected precipitation changes in the mid-twenty-first century under greenhouse gas forcing. An atmospheric moisture balance is constructed, and changes in the diurnal cycle are evaluated. Wetter conditions over the central US in April and May occur most strongly in the afternoon and evening, supported primarily by moisture convergence by transient eddy activity, indicating enhanced daytime convection. In June, increased rainfall over the northern Great Plains is strongest from 0000 to 0600 LT. It is supported by positive changes in stationary meridional moisture convergence related to a strengthening of the GPLLJ accompanied by an intensification of the western extension of the North Atlantic subtropical high. In the Midwest, decreased rainfall is strongest at 1500 LT and 0000 LT. Both a suppression of daytime convection as well as changes in the zonal flow in the GPLLJ exit region are important. Future drying over the northern Great Plains in summer is triggered by weakened daytime convection, and persists throughout August and September when a deficit in soil moisture develops and land–atmosphere feedbacks become increasingly important. 相似文献