黄土高原半干旱区陆面温度和能量的气候特征分析

利用黄土高原半干旱区“定西陆面过程综合观测试验站”2004年11月至2005年10月的各种陆面物理量综合资料,比较系统地研究了黄土高原半干旱区土壤温度、降水量、地表反照率、地表辐射分量和能量平衡分量的年变化和日变化特征及其影响机制。结果显示,黄土高原陆面过程特征与其他地区有很大不同。土壤温度变化向下传播速度约为2.5~3.5 h/10cm;地表反照率随土壤湿度的增大而减小,两者的相关系数达到了0.5338;而地表反照率随降雪量增大而增大,与降雪量的相关系数为0.6645;长波辐射年最大值出现的时间比总辐射迟1个月左右,年平均日变化中地表和大气对太阳辐射加热大约需要1个小时的响应时间; 潜热通量夏季是冬季的5倍多,感热通量有了两个比较明显的峰值,潜热通量、感热通量和土壤热通量的日峰值比净辐射滞后30 min~1 h。     

西藏羊卓雍错湖面水热通量变化及其与气象因子的关联

气候变暖背景下湖泊表层水热交换及其气候归因对高寒湖泊蒸发机制和水分平衡有重要影响。本文基于2016—2017年西藏高寒湖泊羊卓雍错非封冻期涡动相关湍流观测通量数据,首次探讨了该湖水热通量小时、日、月变化特征及其与气象因子的关联。研究发现,4—12月羊卓雍错湖面潜热通量平均值显著高于感热通量;水热通量季节差异明显,夏季较高的空气温湿度组合对湖面的湖—气能量交换控制作用显著。在小时、日、月等时间尺度上,与感热通量统计相关性最高的气象因子为湖—气温差;在半小时、日平均等时间尺度上,潜热通量与风速、风速—水汽压差协同量均为较强正相关;日、月平均时间尺度上的湖面水热通量则与水面净辐射通量呈显著负相关,这归因于水面净辐射季节变化以及因湖—气温差和水—气热容量差异所导致的湖面水热通量强度变化的位相差异。本文揭示了藏南高寒湖泊水热通量变化在不同时间尺度上的主控气象因子差异,增进了对高寒湖泊在气候变化背景下能量交换和蒸发机制的认识。     

基于水热变化的青藏高原土壤冻融过程研究进展

青藏高原近地层土壤冻融过程是高原地表最显著的陆面特征之一,也是判断冻土发育、存在以及反映气候变化的重要指标。近地层土壤昼夜、季节性的冻结、融化会导致青藏高原陆—气间能水平衡的变化甚至异常,从而显著影响高原地表水文过程、生态环境、碳氮循环以及高原及其周边区域的天气和气候系统。论文从观测、模拟以及对气候的影响3个角度来探讨1990年以来青藏高原土壤冻融过程的最新研究进展。结果表明：① 在一个完整的年冻融循环过程中,近地表各层土壤大体都经历了夏季融化期、春秋季融化—冻结期、冬季冻结期4个阶段。受局地因素的影响,不同站点的冻结或消融起止时间、速率、类型均有差异。② 多年冻土区和季节冻土区的日冻融循环过程差异较大,主要体现在日冻融循环持续时间上。③ 不同陆面模式都可以很好地抓住冻融过程中物理量的时空变化,但都需要针对高原陆面过程的特点进行参数化改进。④ 规避不稳定的迭代计算并根据热力学平衡方程确定冻融临界温度可以改进不合理的冻融参数化方案。基于已有研究回顾,发现增加高质量的观测站,利用卫星遥感等多种手段来反演高原土壤冻融过程以及加强陆面模式与区域气候模式和全球气候模式的耦合,并立足于高原冻融过程的特点发展相适应的参数化方案以及模拟结构的调整,能够有助于高原冻融过程的模拟。     

黄土高原半干旱草地降水前后土壤的温、湿度及热力特征

本文利用兰州大学半干旱气候与环境观测站(简称SACOL站）陆面过程综合观测资料,分析了强降水前后榆中黄土高原半干旱草地土壤温、湿特征的差异,讨论了水分状况对土壤热力参数及地表能量分配的影响。结果表明:水分胁迫条件下,黄土高原半干旱草地土壤在10 cm深度存在一个湿层;强降水过程可使土壤湿度受影响范围接近40 cm深度。水分胁迫条件下,感热通量是黄土高原半干旱草地生态系统能量分配过程中净辐射的最大消耗项;无水分胁迫条件下,潜热通量是能量平衡系统中净辐射分量的最大消耗项。降水改变了土壤湿度并使得土壤热传导率发生变化,土壤热传导系数和土壤热容量随土壤湿度增加而增大。     

地形和海拔高度对降水的影响

本文提出了一个表示降水与地形、海拔高度及地区气候条件关系的数学模式。通过计算和分析表明:地形对降水的最大影响是发生在盛行风向与向风坡坡向的交角σ接近于0°而向风面地形坡度α=45°左右时。σ愈小,地形对降水的增幅作用愈大。当α<45°时,α愈大,地形对降水的增幅作用愈大,背风面的降水比向风面减小愈少。当α>45°时,则正好相反。但是,当σ<45°和α在30°和60°之间时,地形对降水增幅作用随σ和α的变化并不很明显。在地形坡度均一的情况下,向风面降水的高度分布一般是先增后减,有一最大降水高度h_M出现,且气候愈干燥,h_M愈高。在气候很潮湿时,h_m→0,即最大降水高度出现在山麓。当向风面的地形呈阶梯形时,也可出现两个或两个以上最大降水高度。     

黑河流域中游灌区含水层系统异质性对地表热通量和温度的影响模拟

渗透系数是描述地下含水层系统空间异质性的重要参数,直接影响地下水位和浅层土壤水分分布,并最终间接影响地表辐射收支及地气间能量转换.基于三维物理过程的地下水—陆面过程耦合模型ParFlow-CLM,在黑河流域中游灌区开展数值模拟实验,分析4种渗透系数情景下地下水位埋深、地表热通量和温度的差异.结果表明,忽略水平方向异质性会降低地表热通量的模拟精度,同时设置水平和垂直方向异质性并考虑包气带—饱水带三维水力特征可提高地表温度的模拟精度;充分考虑土壤和含水层系统异质性能提高分层(尤其是0.2～0.5 m深度土层)土壤温度的模拟精度;土壤和含水层系统异质性对地表热通量和温度的控制作用受到下垫面、地形等环境因素的显著影响,尤其在裸地区域,地表感热通量和温度的模拟结果差异较大.研究结果可为干旱—半干旱地区高时空分辨率水文集成模型的构建提供科学依据.     

山地绿洲边界层特征的数值模拟

使用美国NCAR新版MM5V35非静力平衡模式, 采用三重嵌套的降尺度方法, 通过设计理想的地形和山地绿洲, 模拟研究了山地绿洲环流及边界层特征。山地绿洲的地面感热通量和潜热通量与周围沙漠差异较大, 对形成沙漠绿洲环流有明显贡献。在无山地绿洲的情况下, 地形仅对感热通量有影响, 对潜热通量影响不大。山地绿洲可以使绿洲上空的干冷气流通过下沉气流向下层输送, 在山地绿洲上空形成下沉干冷气流的边界层特征, 它可以抑制由地形形成的向上输送的暖湿气流, 改变地形形成的边界层特征。地形引起的环流是低层复合, 高空辐散。绿洲引起的环流是低空辐散, 高空复合。两种环流呈完全相反的情况。山地绿洲的气候效应可以抑制山地地形的气候效应。     

地表能量平衡方程在新疆地表温度模拟中的应用

地表温度是影响地表能量收支平衡和气候变化的重要因子,也是评价陆面模式性能的主要指标。新疆下垫面包括沙漠、绿洲、冰川、积雪等多种类型,其地表温度变化对生态环境和天气气候变化有重要影响。为了找到影响第三代陆面模式NCAR CLM4.5模拟新疆地表温度效果的主要因子,促进该模式发展,在对ERA-5再分析资料评估基础上,以其作为实况资料,首先对CLM4.5长时段模拟新疆地表温度的效果开展评估,然后利用地表能量平衡方程得到的地表温度变化影响因子分离方法,揭示出引起新疆地表温度模拟偏差的主要因子。结果表明：ERA-5地表温度的空间分布特征、量级和时间变化与观测结果一致,可用来研究该区域地表温度变化。CLM4.5对新疆地表温度模拟冷偏差值较大,但相关性显著,且误差与气候背景和下垫面条件有关。CLM4.5模拟的潜热值偏大是地表温度模拟值偏低的主要原因,CLM4.5模拟的潜热值在新疆大部分区域比ERA-5的多90%以上。CLM4.5对新疆0—10 cm土壤湿度模拟值偏大,蒸散过强,导致潜热通量偏大,因此改进土壤湿度计算方案是提高该陆面模式对新疆地表温度模拟水平的有效途径。     

荒漠下垫面陆面过程和大气边界层相互作用敏感性实验

建立了一个研究荒漠下垫面陆面物理过程与大气边界层相互作用的模式. 模拟了荒漠下垫面的土壤环境物理、地面热量通量、蒸发、蒸散及大气边界层结构特征.并对主要的环境物理参数进行了敏感性实验.结果表明,本模式能合理地模拟荒漠下垫面地表热量平衡、土壤体积含水量、地表植被蒸发散阻抗、地表水汽通量日变化和湍流交换系数、湍流动能、位温和比湿廓线等.该模式还可进一步应用于研究区域陆面物理过程与大气边界层相互作用机制,及与中尺度大气模式耦合用于区域环境生态和气候的研究.     

博斯腾湖气候效应初探

由于湖面和陆面热力性质的差异,以及蒸发耗热、凝结释热等物理过程的存在,博斯腾湖对焉耆盆地的气候有明显的调节作用。如缓和气温变化、增加降水量、减少蒸发量等。博湖气候效应浅层范围仅限于焉耆盆地、效应强度随离岸距离增大而减弱,波及范围下风方大于上风方、并与湖面大小及湖容量多少的年际变化同步。博湖气候效应的环境意义在于:直接影响当地旅游、商业、运输等人类活动,影响当地土壤、水文特征、生物组成、农业资源优势、农业经济优势的形成。     

The influence of subtropical cold fronts on the surface energy balance of a semi-arid site

The passage of subtropical cold fronts through central Australia produces the only significant mesoscale meteorological features in the region. The interaction of these cold fronts with the surface energy balance strongly affects the local weather and climate. The surface energy balance was measured at a semi-arid site in Alice Springs, central Australia, to determine how it was influenced by the passage of subtropical cold fronts. Both Bowen ratio and eddy correlation methods were used. The daytime energy balance of the site showed high net radiation that was partitioned into 75% sensible heat flux and 25% soil heat flux with little or no latent heat flux. At night there was a large net radiative loss that was balanced primarily by a loss of heat from the soil. The cold fronts predominately passed through Alice Springs at night and showed a strong surface signature. The fronts brought moister air resulting in higher water vapour pressures during their passage. The nocturnal boundary layer was often disturbed as the front passed, resulting in warm, moist air being mixed down toward the land surface. Mixing decreased the soil heat flux and increased latent heat fluxes toward the surface. Moisture that accumulated at the surface at these times was often evaporated after a return to drier conditions. During the daytime, surface signatures in soil and sensible heat fluxes were less distinct due to the strong convective mixing. Latent heat fluxes followed a similar trend to the nocturnal case.     

科尔沁沙地梯级生态带水热通量变化特征及气候学足迹

荒漠化地区水热通量变化特征和气候学足迹对理解干旱、半干旱区气候变化及水分循环具有重要意义。以科尔沁沙地一条梯级生态带为研究区，运用2017年3-12月大孔径闪烁仪和自动气象站数据对研究区不同时间尺度水热通量和通量源区的动态变化特征进行分析。结果表明：水热通量日变化特征明显，各分支能量占比不同。晴天近地表能量各项分支曲线均呈显著单峰状，多云天水热通量变化无显著规律；水热通量季节变化显著，夏季显热通量值小于春季、秋季和冬季，潜热通量夏季最大，其次为春季和秋季，冬季最小；小时尺度和日尺度上源区变化较大；季节尺度上，源区面积春季 > 秋季 > 夏季，季节尺度间源区差异较小时尺度和日尺度降低；结合梯级生态带内下垫面类型看，生长季源区以光径中段的玉米农田占比最大，沙丘和草甸下垫面次之，光径内小型湖泊所占源区比例较小。不同月份各下垫面类型占比略有不同。     

A Review of “Hazards,Vulnerability, and Environmental Justice”

A relatively simple modeling approach for estimating spatially distributed surface energy fluxes was applied to two small watersheds, one in a semi-arid climate region and one in a sub-humid region. This approach utilized a combination of ground-based meteorological data and remotely sensed data to estimate ‘instantaneous’ surface energy fluxes at the time of the satellite or aircraft overpasses. The spatial resolution in the watershed grid cells, which was on the order of 100-400 km, was selected to be compatible with ground measurements used for validation. The model estimates of surface energy fluxes compared well with ground-based measurements of surface flux (typically within approximately 40 Wm^?2). The model accuracy may be slightly less for bare soil surfaces due to an overestimation of the soil heat flux. In addition to demonstrating the feasibility of computing spatially distributed values of surface energy fluxes, these maps were used to qualitatively infer the dominant factors controlling the energy fluxes for the time period shortly following precipitation events in the basins. For the semi-arid watershed, values of sensible heat flux varied considerably over the watershed and displayed a pattern very similar to that of the spatially variable cumulative precipitation for at least one to eight days prior to the image acquisition. Due to the large fraction of exposed bare soil in a semi-arid ecosystem, even very small precipitation events had a strong influence on the pattern of sensible heat fluxes observed shortly after the event (less than 24 hours). For the sub-humid watershed, the fluxes tended to be more uniform across the watershed, and were influenced by a combination of precipitation total and land cover type.     

城市地表热通量遥感反演及与土地类型的关系(英文)

Using ASTER(Advanced Spaceborne Thermal Emission and Reflection Radiome-ter) infrared remote sensing data we inversed the parameters of urban surface heat fluxes applying the PCACA model and theoretical position algorithm,and then we analyzed the in-fluence of different land use types on the surface heat fluxes and energy balance.In this study,Kumagaya,a city in Saitama Prefecture,Japan,was selected as the experimental area.The result shows that the PCACA model is feasible for the surface heat fluxes estimation in urban areas because this model requires less parameters in the procedure of heat fluxes estimation in urban areas with complicated surface structure and can decrease the uncertainty.And we found that different land-use types have indicated the height heterogeneity on the surface heat fluxes significantly.The magnitudes of Bowen ratio in descending order are industrial,residential,transportation,institutional,dry farmland,green space,and water body.Under the same meteorological condition,there are distinct characteristics and regional differences in Bowen ratios among different surface covers,indicating higher sensible heat flux and lower latent heat flux in the urban construction land,while lower sensible heat flux and higher latent heat flux in the vegetation-covered area,the outskirt of the urban area.The increase of urban impervious surface area caused by the urban sprawl can enlarge the sensible heat flux and the Bowen ratio,so that it causes the increasing of urban surface temperature and air tem-perature,which is the mechanism of the so-called heat island effect.     

Spatial Patterns in Surface Energy Balance Components Derived from Remotely Sensed Data

A relatively simple modeling approach for estimating spatially distributed surface energy fluxes was applied to two small watersheds, one in a semi‐arid climate region and one in a sub‐humid region. This approach utilized a combination of ground‐based meteorological data and remotely sensed data to estimate ‘instantaneous’ surface energy fluxes at the time of the satellite or aircraft overpasses. The spatial resolution in the watershed grid cells, which was on the order of 100‐400 km, was selected to be compatible with ground measurements used for validation. The model estimates of surface energy fluxes compared well with ground‐based measurements of surface flux (typically within approximately 40 Wm^?2). The model accuracy may be slightly less for bare soil surfaces due to an overestimation of the soil heat flux. In addition to demonstrating the feasibility of computing spatially distributed values of surface energy fluxes, these maps were used to qualitatively infer the dominant factors controlling the energy fluxes for the time period shortly following precipitation events in the basins. For the semi‐arid watershed, values of sensible heat flux varied considerably over the watershed and displayed a pattern very similar to that of the spatially variable cumulative precipitation for at least one to eight days prior to the image acquisition. Due to the large fraction of exposed bare soil in a semi‐arid ecosystem, even very small precipitation events had a strong influence on the pattern of sensible heat fluxes observed shortly after the event (less than 24 hours). For the sub‐humid watershed, the fluxes tended to be more uniform across the watershed, and were influenced by a combination of precipitation total and land cover type.     

土地利用类型转换对地表能量平衡和气候的影响——基于SiB2模型的模拟结果

利用SiB2 模型对中国东北地区农田、草地和森林3 种土地利用类型的地表能量平衡过程展开研究,分析不同土地利用类型对生物地球物理参数（反照率和粗糙度）、能量平衡（净辐射、潜热和显热）和气候（冠层温度）的影响。结果表明：①模型模拟的地表能量平衡与实测数据的年变化动态相似（R²>0.42）,差值保持在±30 W/m²,温度在±4 ℃。②利用相同气象数据模拟不同土地利用类型通过生物地球物理过程对地表能量平衡和气候的影响,发现森林吸收的净辐射最高且主要用于潜热分配,农田的净辐射最低且主要用于显热分配,草地净辐射和能量分配居中。③生态系统获得的净辐射主要受反照率的影响,净辐射分配受叶面积指数的调节。④冠层温度（℃）受反照率和净辐射在潜热和显热间分配的相对重要性的影响：年平均值为森林（7.7）>农田（7.64）>草地（6.67）。⑤降水对模拟结果有显著影响,是森林模拟差异的主要原因。在不同土地利用类型中,降水增加土壤水分,净辐射更多分配到潜热,较少分配到显热,降低冠层温度。     

Monitoring and simulation of water, heat,and CO2 fluxes in terrestrial ecosystems based on the APEIS-FLUX system

1IntroductionInJune1992,theworldsummitorganizedbytheUnitedNations,withparticipantsincludingnationalleadersfromaroundtheworld,concludedwithAgenda21(UnitedNations,1992),theRioDeclarationonEnvironmentandDevelopment,inRiodeJaneiro.Thedeclarationpromptedcountr…     

Monitoring and simulation of water, heat, and CO2 fluxes in terrestrial ecosystems based on the APEIS-FLUX system

The Integrated Environmental Monitoring (IEM) project, part of the Asia-Pacific Environmental Innovation Strategy (APEIS) project, developed an integrated environmental monitoring system that can be used to detect, monitor, and assess environmental disasters, degradation, and their impacts in the Asia-Pacific region. The system primarily employs data from the moderate resolution imaging spectrometer (MODIS) sensor on the Earth Observation System- (EOS-) Terra/Aqua satellite, as well as those from ground observations at five sites in different ecological systems in China. From the preliminary data analysis on both annual and daily variations of water, heat and CO2 fluxes, we can confirm that this system basically has been working well. The results show that both latent flux and CO2 flux are much greater in the crop field than those in the grassland and the saline desert, whereas the sensible heat flux shows the opposite trend. Different data products from MODIS have very different correspondence, e.g. MODIS-derived land surface temperature has a close correlation with measured ones, but LAI and NPP are quite different from ground measurements, which suggests that the algorithms used to process MODIS data need to be revised by using the local dataset. We are now using the APEIS-FLUX data to develop an integrated model, which can simulate the regional water, heat, and carbon fluxes. Finally, we are expected to use this model to develop more precise high-order MODIS products in Asia-Pacific region.     

基于亚太地区环境综合监测的陆地生态系统中水、热和二氧化碳的监测与模拟

The Integrated Environmental Monitoring (IEM) project, part of the Asia-Pacific Environmental Innovation Strategy (APEIS) project, developed an integrated environmental monitoring system that can be used to detect, monitor, and assess environmental disasters, degradation, and their impacts in the Asia-Pacific region. The system primarily employs data from the moderate resolution imaging spectrometer (MODIS) sensor on the Earth Observation System- (EOS-) Terra/Aqua satellite,as well as those from ground observations at five sites in different ecological systems in China. From the preliminary data analysis on both annual and daily variations of water, heat and CO2 fluxes, we can confirm that this system basically has been working well. The results show that both latent flux and CO2 flux are much greater in the crop field than those in the grassland and the saline desert, whereas the sensible heat flux shows the opposite trend. Different data products from MODIS have very different correspondence, e.g. MODIS-derived land surface temperature has a close correlation with measured ones, but LAI and NPP are quite different from ground measurements, which suggests that the algorithms used to process MODIS data need to be revised by using the local dataset. We are now using the APEIS-FLUX data to develop an integrated model, which can simulate the regional water,heat, and carbon fluxes. Finally, we are expected to use this model to develop more precise high-order MODIS products in Asia-Pacific region.