利用简单生物圈模式SiB2模拟锡林浩特草原地表湍流通量

利用简单生物圈模式SiB2模拟了2007年7月1日至9月30日期间锡林浩特草原的地表能量分配、CO2通量、地表有效辐射温度和土壤湿度.采用锡林浩特国家气候观象台野外试验基地实地测量资料确定SiB2所需要的参数和初始值后,由该资料中30 min一次的太阳短波辐射、大气长波辐射、水汽压、气温、水平风速和降水驱动SiB2,最...     

利用生物圈模型 (SiB2) 模拟青藏高原那曲草原近地面层能量收支

模式所需要的参数被合理地设置之后, 根据GAME/ Tibet (GEWEX亚洲季风试验/青藏高原试验) 那曲近地层观测站的资料, 将大气强迫变量代入SiB2(Simple Biosphere model version2), 文章模拟了该观测站地表能量收支。结果表明:SiB2能够较好地模拟青藏高原的能量收支情况, 净辐射、潜热通量和土壤热通量的模拟值和观测值吻合, 它们的相对误差分别为8% (低估)、6% (低估) 和3 %(低估)。同时, SiB2高估感热通量达40%。文章还给出了能量各分量的详细比较分析。     

SiB2和SiB3对高寒草甸和茶树地表能量通量模拟的比较

运用简单生物圈模式第2版(SiB2)和第3版(SiB3),分别模拟青藏高原两个观测站(那曲、安多)和长江三角洲苏州东山观测站的近地面能量收支,并与相应观测数据进行比较研究,分析SiB2、SiB3模拟结果和观测资料产生差异的原因,以此来认识上述地区地表能量收支特点。结果表明,SiB2和SiB3模拟的近地面能量通量与观测数据有较好的一致性。对感热通量,那曲和安多站SiB3比SiB2模拟的结果更接近观测资料,但苏州站SiB2模拟的结果与观测资料更吻合;对潜热通量,SiB3比SiB2模拟的日变化与观测资料更一致,SiB3的模拟结果与观测资料(除苏州站外)相关系数都在0.8以上;对地表土壤热通量,SiB2和SiB3模拟结果与观测数据相关系数都在0.8以上;对净辐射通量,SiB2和SiB3模拟结果与观测资料相关系数接近1.0。与SiB2相比,SiB3引用通用陆面模式的土壤描述并增加对冠层空间层温度、湿度和痕量气体的预报,使其能够改善潜热通量和土壤热通量的模拟,但对复杂下垫面的感热和净辐射通量模拟能力提高不明显。     

水稻不同生长期稻田能量收支、CO2通量模拟研究

利用国家自然科学基金重大项目“长江三角洲低层大气物理化学过程与生态系统的相互作用”野外观测资料，将1999年常熟稻田水稻四个不同生长期（插秧、拔节、抽穗和成熟）的太阳辐射、水汽压、气温和水平风速及降水作为简化生物圈（SiB2）模式的5个强迫变量，在合理设计模式参数的前提下，分别模拟了上述四个阶段的能量收支、CO₂通量。模拟结果表明:在水稻不同生长阶段的感热、潜热和下垫面热通量占净辐射的比例不同；CO₂通量的模拟结果与1996年国际稻田试验结果相似。该研究为利用自动气象站网的资料估计各站能量收支、CO₂通量、土壤水分平衡、以及土壤温度廓线提供了新证据。     

青藏高原东南部云状况与地表能量收支结构

采用不同区域边界层综合观测系统,从地表能量收支平衡的视角,探讨青藏高原与四川盆地能量平衡各分量结构特征,进一步认识云状况对能量平衡分量的影响问题。研究表明,青藏高原东南部大理、林芝、温江各站地表通量感热、潜热与有效能源两项相关特征明显,即存在能量闭合基本特征,但能量收支仍存在不闭合离散现象,尤其随着近地层地表通量与有效能源的增大,其非闭合特征更加明显。青藏高原东南部(大理、林芝)春、夏季低云量与感热呈显著负相关,潜热则呈不确定特征。对于春季低云量与感热相关性,高原东南部(大理、林芝)远比四川盆地(温江)相关更为显著,高原区域低云量对上述近地层"能量收支"起"冷却"作用,且低云量与向下长波辐射呈显著的正相关,此研究结果描述了低云量对陆面辐射强迫的"加热"反馈效应,即高原区域低云量状况亦可用边界层通量塔向下长波辐射量来间接表征。观测分析结果亦表明平原该站低云量对向下长波辐射影响远不如高原区域。研究结果表明,青藏高原区域与低云量有关的向下长波辐射高值区可能是出现近太阳常数现象的重要因素之一。     

青藏高原中部季节冻土区地表能量通量的模拟分析

利用“全球协调加强观测计划之亚澳季风青藏高原试验(CAMP/Tibet)”中那曲地区BJ站2002年8月1日_2003年8月31日的观测资料作为水热耦合模式(Simultaneous Heat and Water, SHAW)的强迫场,对青藏高原中部季节冻土区地表能量通量特征进行了单点模拟研究。通过对实测值与模拟结果的对比分析,发现SHAW模式能较成功地模拟该地区地表能量通量特征, 短波净辐射和长波净辐射的模拟值与观测值吻合较好, 净辐射和土壤热通量在夏半年的模拟值与观测值也吻合,但相对夏, 秋季而言,它们在冬, 春季的模拟值较观测值略偏大。模拟的感热和潜热通量的季节变化比较合理,由模拟的感热和潜热通量计算的Bowen比能较好地解释不同季节太阳辐射的能量转化。     

青藏高原能量收支观测实验的新进展

通过对１９９３年９月－１９７年３月在五道梁所取的观测资料的分析,简述了在青藏高原地区能量收支观测中所取得的新认识和新进展。     

简单生物圈模式 (SiB2) 中湍流能量通量对近地层两类阻抗系数的敏感性研究

陆—气之间的能量交换是通过近地层湍流热量和水汽通量来实现的.以往的研究表明近地层阻抗对湍流能量通量有着不同程度的影响,但是关于陆面模式中阻抗系数的取值范围却始终没有统一的标准.为了深入了解简单生物圈模式 (SiB₂) 中近地层阻抗系数取值变化对湍流能量通量的影响,我们以那曲站为例,分别采用传统的逐个因子分析法和考虑参数间相互作用的部分因子分析法定量地研究了夏季该观测站近地层湍流能量通量分别对冠层阻抗系数C₁和地表阻抗系数C₂的敏感性响应.结果表明,感热通量对地表阻抗系数C₂更为敏感,而潜热通量则对冠层阻抗系数C₁较为敏感;感热通量随C₁增加而增大,随C₂增加而减小,而潜热通量则随C₁或C₂的增加而减小;不管是感热通量还是潜热通量,它们对阻抗系数的敏感度随阻抗系数的增大而减小,而对阻抗系数的相对敏感度则随阻抗系数的增大而增大.最后,结合那曲站夏季下垫面稀疏短草的分布特点分析了造成感热通量和潜热通量敏感变化各异的原因.     

北京郊区草地夏季能量收支平衡的数值模拟

北京郊区地表能量分配可能影响北京地区的天气和气候。为了进一步检验陆面过程模式对北京郊区具有代表性的稀疏草地地表能量分配的模拟能力,利用原版和改进版简化生物圈模式(SiB2,Simple Biosphere Model 2)模拟了2010年7月22日-8月5日期间北京郊区阳坊镇坦克打靶场草地的辐射平衡、能量收支以及地表热通量。并将模拟结果与实际测量的数据进行对比,结果表明:1)原版SiB2低估净辐射11.32%,改进版SiB2则低估净辐射5.81%,主要原因是改进版SiB2更新了土壤热传导率计算方法,从而提高了土壤温度(包括地表温度)模拟结果的精度,进而改善了地表向上的长波辐射模拟结果的准确性;2)改进版SiB2同时改善了感热通量和潜热通量的模拟结果,但是原版SiB2和改进版SiB2均低估了土壤热通量。     

夏季青藏高原地区水汽收支的初步模拟分析

采用中尺度模式WRF对夏季青藏高原地区降水进行了长达37天的积云可分辨模拟试验,在模式较好再现了夏季青藏高原降水的空间分布和日变化特征的基础上,利用高时空分辨率模拟结果进行了该地区水汽收支分析。结果表明:夏季青藏高原的降水主要来自水汽的辐合,辐合集中在低层,与青藏高原南部的夜间低空急流密切相关,具有显著的日变化特征;水汽收支方程中的垂直输送项起着将水汽从低层向中高层输送的重要作用,水汽局部变化项则很小,可以忽略;夏季青藏高原的蒸发主要集中在正午前后的6 h内,且蒸发量约为降水量的1/2,表明区域水汽再循环的重要性。     

Satellite Monitoring of the Surface Water and Energy Budget in the Central Tibetan Plateau

The water and energy cycle in the Tibetan Plateau is an important component of Monsoon Asia and the global energy and water cycle. Using data at a CEOP （Coordinated Enhanced Observing Period）-Tibet site, this study presents a first-order evaluation on the skill of weather forecasting from GCMs and satellites in producing precipitation and radiation estimates. The satellite data, together with the satellite leaf area index, are then integrated into a land data assimilation system （LDAS-UT） to estimate the soil moisture and surface energy budget on the Plateau. The system directly assimilates the satellite microwave brightness temperature, which is strongly affected by soil moisture but not by cloud layers, into a simple biosphere model. A major feature of this system is a dual-pass assimilation technique, which can auto-calibrate model parameters in one pass and estimate the soil moisture and energy budget in the other pass. The system outputs, including soil moisture, surface temperature, surface energy partition, and the Bowen ratio, are compared with observations, land surface models, the Global Land Data Assimilation System, and four general circulation models. The results show that this satellite data-based system has a high potential for a reliable estimation of the regional surface energy budget on the Plateau.     

The sensitivity of ground surface temperature prediction to soil thermal properties Using the Simple Biosphere Model (SiB2)

Using the Simple Biosphere Model (SiB2), soil thermal properties (STP) were examined in a Tibetan prairie during the monsoon period to investigate ground surface temperature prediction. We improved the SiB2 model by incorporating a revised force-restore method (FRM) to take the vertical heterogeneity of soil thermal diffusivity (k) into account. The results indicate that (1) the revised FRM alleviates daytime overestimation and nighttime underestimation in modeled ground surface temperature (T_g), and (2) its role in little rainfall events is significant because the vertical gradient of k increases with increasing surface evaporation. Since the original formula of thermal conductivity (λ) in the SiB2 greatly underestimates soil thermal conductivity, we compared five algorithms of λ involving soil moisture to investigate the cause of overestimation during the day and underestimation at night on the basis of the revised FRM. The results show that (1) the five algorithms significantly improve T_g prediction, especially in daytime, and (2) taking one of these five algorithms as an example, the simulated T_g values in the daytime are closer to the field measurements than those in the nighttime. The differences between modeled T_g and field measurements are mostly within the margin of error of ±2 K during 3 August to 4 September 1998.     

Estimation of Hourly Solar Radiation at the Surface under Cloudless Conditions on the Tibetan Plateau Using a Simple Radiation Model

In this study,the clear sky hourly global and net solar irradiances at the surface determined using SUNFLUX,a simple parameterization scheme,for three stations(Gaize,Naqu,and Lhasa) on the Tibetan Plateau were evaluated against observation data.Our modeled results agree well with observations.The correlation coefficients between modeled and observed values were > 0.99 for all three stations.The relative error of modeled results,in average was < 7%,and the root-mean-square variance was < 27 W m 2.The solar irradiances in the radiation model were slightly overestimated compared with observation data;there were at least two likely causes.First,the radiative effects of aerosols were not included in the radiation model.Second,solar irradiances determined by thermopile pyranometers include a thermal offset error that causes solar radiation to be slightly underestimated.The solar radiation absorbed by the ozone and water vapor was estimated.The results show that monthly mean solar radiation absorbed by the ozone is < 2% of the global solar radiation(< 14 W m 2).Solar radiation absorbed by water vapor is stronger in summer than in winter.The maximum amount of monthly mean solar radiation absorbed by water vapor can be up to 13% of the global solar radiation(95 W m 2).This indicates that water vapor measurements with high precision are very important for precise determination of solar radiation.     

藏北高原地面辐射收支的初步分析

利用“全球能量与水循环亚洲季风之青藏高原试验”GAME／Tibet(GEWEX Asian Monsoon Experiment in the Tibetan Plateau)1998年加强期(IOP)观测资料,分析研究了藏北高原地区草甸下垫面在季风前、季风中、季风后的太阳短波向下辐射、大气长波向下辐射、地面长波向上辐射、地面短波向上辐射、净辐射及地表反射率等特征,得到了藏北高原地区草甸下垫面辐射特征的新认识。     

夏季青藏高原东南部水汽收支气候特征及其影响

采用1961—2005年NCEP/NCAR再分析资料, 研究了夏季青藏高原东南部水汽收支的气候特征及其影响效应。结果表明:夏季青藏高原东南部总体上是一个水汽汇区, 平均总收入为39.9×106 kg/s。东亚夏季风的建立、推进对青藏高原东南部的水汽输入有重要影响, 而青藏高原东南部的水汽输出则与夏季我国东部雨带的推进过程密切相关。该区对周边地区的水汽收支有重要影响, 是向我国西北地区东部、长江中下游地区输送水汽的重要通道, 青藏高原东南部的水汽“转运站”效应是长江中下游流域洪涝和北方夏季干旱异常的关键因子之一。青藏高原东南部东、北边界夏季水汽收支均具有准两年周期振荡特征, 并分别与长江中下游、西北地区东部夏季降水的准两年振荡特征具有一定的联系。     

青藏高原复杂下垫面能量和水分循环季节变化特征分析

为深入认识青藏高原能量和水分循环季节变化,利用GSWP(Global Soil Wetness Project)、GLDAS(Global Land Data Assimilation System)、AMSR-E(Advance Microwave Scanning Radiometer-EOS)土壤湿度以及台站观测资料等多种数据,采用滑动t检验初步分析高原下垫面各物理量季节变化特征。结果表明:各物理量季节变化特征明显且联系密切。高原下垫面净短波辐射和感热通量在1月中旬显著开始增加,5~6月达到全年最高值。净长波辐射5月表现为高值,夏季表现为低值。地表潜热通量在1月显著开始增加,在夏季达到全年最高值。表层土壤3月开始输送热量到大气,9月大气开始向土壤表层传递热量;融雪3~5月加快,雪盖减少。降水和1 cm植被含水量在2月显著开始增加,1 cm土壤显著开始加湿,5~6月降水陡增,1 cm土壤湿度表现为峰值。1 cm植被含水量、植被蒸腾、总蒸散与降水在7~8月达全年最高值,1 cm土壤湿度在7月表出现为谷值,9月达全年第二峰值。10月下垫面温度转冷后,雪盖增加,土壤湿度逐渐减小。     

Understanding the Surface Temperature Cold Bias in CMIP5 AGCMs over the Tibetan Plateau

The temperature biases of 28 CMIP5 AGCMs are evaluated over the Tibetan Plateau(TP) for the period 1979–2005. The results demonstrate that the majority of CMIP5 models underestimate annual and seasonal mean surface 2-m air temperatures(T_(as)) over the TP. In addition, the ensemble of the 28 AGCMs and half of the individual models underestimate annual mean skin temperatures(T_s) over the TP. The cold biases are larger in T_(as) than in T_s, and are larger over the western TP. By decomposing the T_s bias using the surface energy budget equation, we investigate the contributions to the cold surface temperature bias on the TP from various factors, including the surface albedo-induced bias, surface cloud radiative forcing, clear-sky shortwave radiation, clear-sky downward longwave radiation, surface sensible heat flux, latent heat flux,and heat storage. The results show a suite of physically interlinked processes contributing to the cold surface temperature bias.Strong negative surface albedo-induced bias associated with excessive snow cover and the surface heat fluxes are highly anticorrelated, and the cancelling out of these two terms leads to a relatively weak contribution to the cold bias. Smaller surface turbulent fluxes lead to colder lower-tropospheric temperature and lower water vapor content, which in turn cause negative clear-sky downward longwave radiation and cold bias. The results suggest that improvements in the parameterization of the area of snow cover, as well as the boundary layer, and hence surface turbulent fluxes, may help to reduce the cold bias over the TP in the models.