中国天山西部山区森林积雪消融过程观测分析——以巩乃斯河谷为例

通过对2013年春季中国科学院天山积雪与雪崩研究站区内阳坡无林地和阴坡不同开阔度森林内积雪深度、融雪速率以及常规气象的观测,分析了融雪期不同开阔度森林积雪的消融过程以及积雪表面能量平衡特征。结果表明:不同开阔度林冠下积雪深度具有相同的变化趋势,森林的林冠开阔度越大,林下积雪深度越大,林下积雪开始消融和完全消融的时间越晚,消融期也越长。森林积雪融雪开始和结束时间比阳坡无林地区晚20~30 d左右。融雪前期林冠开阔度越大,其林下融雪速率越小。融雪后期则森林开阔度越大,森林积雪的融雪速率越大。不同时期由于不同开阔度林冠下雪面能量收支以及雪层深度等物理特性的差异,从而使不同开阔度林冠下森林积雪融雪速率的相对大小,融雪速率最大值出现时间和日变化特征均不相同。晴天森林积雪的消融速率和日变化特征取决于净短波辐射和长波辐射变化特征。降水期间,其融雪速率的变化则主要受降水形式、降水量以及积雪深度等雪层特性的影响。     

祁连山青海云杉林截留对降水的分配效应

为了评估青海云杉林的水源涵养服务功能,选择祁连山西水林区排露沟流域青海云杉林,定位监测了在2006年中共83次降水事件的截留分配效应,观测期降水总量为394.2 mm,林冠截留、茎流和穿透水量分别是139.1、1.96和253.1 mm,林冠截留率、茎流率、穿透率分别为35.28%、0.50%和64.22%,当林外降水量>0.8 mm时才观测到林内穿透雨,而大于13.60 mm时,才观测到树干茎流。林冠对降水的截留分配与降水量、降水形态以及林分特征密切相关。冠层截留量、茎流量和穿透量与降水量均呈正相关,冠层截留率与降水量呈负相关,而茎流率和穿透率呈正相关;林冠对降雪的截留强于降雨,而降雨的穿透量强于降雪,同一降水事件下树干茎流量随着胸径的增大而增加。青海云杉林冠的几何形态结构(枝叶的分布与排列)不利于形成树干茎流。     

古尔班通古特沙漠地表辐射收支特征

古尔班通古特沙漠是中国最大的固定、半固定沙漠.利用2017年该沙漠克拉美丽站辐射资料,分析了古尔班通古特沙漠不同时间尺度和不同天气条件下的地表辐射变化特征.结果表明:(1)不同月份沙漠辐射收支各分量月平均日变化均呈单峰型,但极值大小及出现时间存在差异.各分量曝辐量季节变化明显:太阳总辐射表现为生长期(4-9月)＞积雪期...     

Surface Heat Balance and Spatially Distributed Ablation Modelling at Koryto Glacier, Kamchatka Peninsula, Russia

To investigate the characteristics of ablation at Koryto Glacier, a mountain glacier under maritime climate in Kamchatka Peninsula, Russia, we made field observations from August to early September 2000. At a site near the equilibrium line, the 31‐day average net radiation, sensible heat flux, and latent heat flux were 43, 59 and 31 W^?2, respectively. We developed a new distributed ablation model, which only needs measurements of air temperature and global radiation at one site. Hourly ablation rates at this site obtained by the energy balance method are related to measured air temperature and global radiation by linear multiple regression. A different set of multiple regression coefficients is fitted for snow and ice surfaces. Better estimates of ablation rate can be obtained by this approach than by other temperature index models. These equations are then applied to each grid cell of a digital elevation model to estimate spatially distributed hourly melt. Air temperature is extrapolated using a constant temperature lapse rate and global radiation is distributed considering topographic effects. The model enables us to calculate the hourly spatial distribution of ablation rates within the glacier area and could well provide a realistic simulation of ablation over the whole glacier.     

The role of declining Arctic sea ice in recent decreasing terrestrial Arctic snow depths

The dramatic decline in Arctic sea ice cover is anticipated to influence atmospheric temperatures and circulation patterns. These changes will affect the terrestrial climate beyond the boundary of the Arctic, consequently modulating terrestrial snow cover. Therefore, an improved understanding of the relationship between Arctic sea ice and snow depth over the terrestrial Arctic is warranted. We examined responses of snow depth to the declining Arctic sea ice extent in September, during the period of 1979–2006. The major reason for a focus on snow depth, rather than snow cover, is because its variability has a climatic memory that impacts hydrothermal processes during the following summer season. Analyses of combined data sets of satellite measurements of sea ice extent and snow depth, simulated by a land surface model (CHANGE), suggested that an anomalously larger snow depth over northeastern Siberia during autumn and winter was significantly correlated to the declining September Arctic sea ice extent, which has resulted in cooling temperatures, along with an increase in precipitation. Meanwhile, the reduction of Arctic sea ice has amplified warming temperatures in North America, which has readily offset the input of precipitation to snow cover, consequently further decreasing snow depth. However, a part of the Canadian Arctic recorded an increase in snow depth driven locally by the diminishing September Arctic sea ice extent. Decreasing snow depth at the hemispheric scale, outside the northernmost regions (i.e., northeastern Siberia and Canadian Arctic), indicated that Arctic amplification related to the diminishing Arctic sea ice has already impacted the terrestrial Arctic snow depth. The strong reduction in Arctic sea ice anticipated in the future also suggests a potential long-range impact on Arctic snow cover. Moreover, the snow depth during the early snow season tends to contribute to the warming of soil temperatures in the following summer, at least in the northernmost regions.     

MODIS雪深反演数学模型验证及分析

在MODIS卫星遥感积雪监测的基础上,利用雪深反演数学模型、积雪指数NDSI和多光谱阈值等相结合的方法,对2004年以来新疆北疆地区的积雪分布状况进行了反演和计算,并利用2004年11月～2005年3月冬季北疆地区气象台站雪深数据和2004年12月～2006年1月加密野外实测雪深数据,对反演雪深数据进行了验证及分析,北疆各地除塔城地区反演精度为83.2%以外,其它地区反演精度达85.2%以上,平均反演精度达86.2%;野外实测数据验证反演精度达92%以上。     

Characteristics of abrupt changes of snow cover and seasonal freeze-thaw layer in the Tibetan Plateau and their impacts on summer precipitation in China

In this paper, a variation series of snow cover and seasonal freeze-thaw layer from 1965 to 2004 on the Tibetan Plateau has been established by using the observation data from meteorological stations. The sliding T-test, M-K test and B-G algorithm are used to verify abrupt changes of snow cover and seasonal freeze-thaw layer in the Tibetan plateau. The results show that the snow cover has not undergone an abrupt change, but the seasonal freeze-thaw layer obviously witnessed a rapid degradation in 1987, with the frozen soil depth being reduced by about 15 cm. It is also found that when there is less snow in the plateau region, precipitation in South China and Southwest China increases. But when the frozen soil is deep, precipitation in most of China apparently decreases. Both snow cover and seasonal freeze-thaw layer on the plateau can be used to predict the summer precipitation in China. However, if the impacts of snow cover and seasonal freeze-thaw layer are used at the same time, the predictability of summer precipitation can be significantly improved. The significant correlation zone of snow is located in middle reaches of the Yangtze River covering the Hexi Corridor and northeastern Inner Mongolia, and the seasonal freeze-thaw layer exists in Mt. Nanling, northern Shannxi and northwestern part of North China. The significant correlation zone of simultaneous impacts of snow cover and seasonal freeze-thaw layer is larger than that of either snow cover or seasonal freeze-thaw layer. There are three significant correlation zones extending from north to south: the north zone spreads from Mt. Daxinganling to the Hexi Corridor, crossing northern Mt. Taihang and northern Shannxi; the central zone covers middle and lower reaches of the Yangtze River; and the south zone extends from Mt. Wuyi to Yunnan and Guizhou Plateau through Mt. Nanling.     

中国西北地区季节性积雪的性质与结构

中国内陆地区积雪分布十分广泛。根据西北地区大陆性气候条件下形成的“干寒型”积雪的特征 ,对中国天山和阿尔泰山山区的季节性积雪进行了观测与分析。结果表明 ,该区最大积雪深度达 15 2cm(1997) ,积雪层一般由新雪 (或表层凝结霜 )、细粒雪、中粒雪、粗粒雪、松散深霜、聚合深霜层和薄融冻冰层组成。与“湿暖型”积雪相比 ,“干寒型”积雪的性质具有密度小 (新雪的最小密度为 0 .0 4 g/cm3 )、含水率少 (隆冬期 <1% )、温度梯度大(最大可达 - 0 .5 2℃ /cm)、深霜发育层厚等特点 ,并且变质作用以热量交换和雪层压力变质作用为主。据中国科学院天山积雪与雪崩研究站 (43°2 0N ,84°2 9E ,海拔 1776m)的观测资料 ,中国内陆干旱区冬季积雪期雪面太阳辐射通量以负平衡为主 ,新雪雪面反射率达 96 % ,短波辐射在干寒型积雪中的穿透厚度达 2 8cm。春季积雪消融期 ,深霜层厚度可占整个积雪层厚度的 80 %。随着气温的升高 ,雪粒间的键链首先融化 ,使积雪变得松散 ,内聚力、抗压、抗拉和抗剪强度降低 ,积雪含水率也随之增大 ,整个积雪层趋于接近 0℃的等温现象 ,因此 ,春季天山、阿尔泰山等山地全层性湿雪崩频繁发生     

半干旱沙地樟子松林降雨再分配特征

森林植被的降雨再分配过程是影响区域水资源利用效率以及生态系统生产力的重要因素.于2018年5—8月观测27 a生樟子松人工林降雨再分配特征,探究降雨再分配的比例变化对林地水分平衡的影响机制,分析、量化林内穿透雨、林冠截留、树干径流、枯落物层入渗部分产生的阈值.结果 表明:樟子松林内穿透雨量占同期降雨量的86.45％,穿...     

黄河中游大尺度植被冠层截留降水模拟与分析

大尺度植被冠层截留降水定量模拟与分析是揭示气候变化和人类活动综合作用下区域水沙变化机制的重要研究内容。以黄河中游河口镇—潼关区间为研究区,耦合遥感等空间数据与植被冠层截留估算模型,利用地面监测站点降水数据、GLASS叶面积指数遥感数据和地理信息空间分析技术,定量模拟和分析了黄河中游20 世纪80 年代以来3 个典型年份的地表植被冠层截留降水及其时空变化特征。结果表明：（1） 20 世纪80 年代以来,特别是20 世纪末实施的生态修复政策,使得黄河中游叶面积指数显著提高,植被覆盖明显改善;（2） 20 世纪80 年代以来,黄河中游植被冠层截留降水发生了明显变化,1984 年、1995 年和2010 年研究区植被冠层截留降水量区域年平均值分别为19.57 mm、13.66 mm和22.68 mm,截留率分别为3.24%、3.32%和4.92%;（3） 黄河中游植被冠层截留降水特征及其变化受降水特征和地表植被状况共同影响,其中,降水量是决定植被冠层截留降水特征的控制性因素,而叶面积指数年际变化是影响植被冠层截留降水特征变化的主要因素。     

Distribution of winter-spring snow over the Tibetan Plateau and its relationship with summer precipitation in Yangtze River

The distribution of winter-spring snow cover over the Tibetan Plateau(TP) and its relationship with summer precipitation in the middle and lower reaches of Yangtze River Valley(MLYRV) during 2003–2013 have been investigated with the moderate-resolution imaging spectrometer(MODIS) Terra data(MOD10A2) and precipitation observations. Results show that snow cover percentage(SCP) remains approximately 20% in winter and spring then tails off to below 5% with warmer temperature and snow melt in summer. The lower and highest percentages present a declining tendency while the middle SCP exhibits an opposite variation. The maximum value appears from the middle of October to March and the minimum emerges from July to August. The annual and winter-spring SCPs present a decreasing tendency. Snow cover is mainly situated in the periphery of the plateau and mountainous regions, and less snow in the interior of the plateau, basin and valley areas in view of snow cover frequency(SCF) over the TP. Whatever annual or winter-spring snow cover, they all have remarkable declining tendency during 2003–2013, and annual snow cover presents a decreasing trend in the interior of the TP and increasing trend in the periphery of the TP. The multi-year averaged eight-day SCP is negatively related to mean precipitation in the MLYRV. Spring SCP is negatively related to summer precipitation while winter SCP is positively related to summer precipitation in most parts of the MLYRV. Hence, the influence of winter snow cover on precipitation is much more significant than that in spring on the basis of correlation analysis. The oscillation of SCF from southeast to northwest over the TP corresponds well to the beginning, development and cessation of the rain belt in eastern China.     

Spatiotemporal index for analyzing controls on snow climatology: application in the Colorado Front Range

Mountain snowpacks are important water supplies that are susceptible to climate change, yet snow measurements are sparse relative to snowpack heterogeneity. We used remote sensing to derive a spatiotemporal index of snow climatology that reveals patterns in snow accumulation, persistence, and ablation. Then we examined how this index relates to climate, terrain, and vegetation. Analyses were based on Moderate Resolution Imaging Spectroradiometer eight-day snow cover from 2000 to 2010 for a mountain watershed in the Colorado Front Range, USA. The Snow Cover Index (SCI) was calculated as the fraction of years that were snow covered for each pixel. The proportion of SCI variability explained by independent variables was evaluated using regression analysis. Independent variables included elevation, northing, easting, slope, aspect, northness, solar radiation, precipitation, temperature, and vegetation cover. Elevation was the dominant control on SCI patterns, due to its influence on both temperature and precipitation. Grouping SCI values by elevation, we identified three distinct snow zones in the basin: persistent, transitional, and intermittent. The transitional snow zone represents an area that is sensitive to losing winter snowpack. The SCI can be applied to other basins or regions to identify dominant controls on snow cover patterns and areas sensitive to snow loss.     

INFLUENCE OF SUBARCTIC VEGETATION COVER ON SNOWMELT

An examination of the three major components of the energy balance has shown that subarctic vegetation cover markedly alters the relative importance of these components for the snowmelt. It has been found that the contribution of net radiation decreases as forest cover decreases while sensible and latent heat contributions to the snowmelt increase with decreasing forest cover. The decrease in the importance of net radiation with decreasing forest cover is due to the effect of the forest cover on albedo and the effects of the forest cover on the long-wave radiation component of the radiation balance. This situation seems to be typical for open canopy forests. The increase in importance of sensible and latent heat in the open is due to the increase in wind speed from the forest to open sites.     

Simulation of snow shielding corrections for cosmogenic nuclide surface exposure studies

Snow cover reduces cosmogenic nuclide production rates in bedrock. Corrections for snow cover can be more than 10% in mountainous, mid-latitude regions where many glacial chronologies have been constructed using cosmogenic nuclide surface dating of landforms. Most published snow corrections use historic climate data of limited duration that are not likely to reflect adequately the full range of snow conditions over the time of exposure. We present a model for describing the impact of snow burial on long-term exposure histories of landforms. The model applies an energy balance approach to snowpack evolution and incorporates both historic and long-term climate proxy data. Attenuation of cosmogenic fast neutrons is modeled alternatively as a simple exponential decrease with increased shielding or as a thin surface layer with constant production followed by an exponential decrease with increasing depth. The choice of attenuation model has little effect on the modeled results for the Cairngorms but will have a more significant effect in regions characterized by thinner, less dense snowpacks. Spatial variability in snow cover is modeled as a function of elevation only, ignoring local variability in snow accumulation as a result of slope aspect, wind redistribution and local topography. Thus, model results reveal general spatial and temporal trends in snow shielding effects, rather than site-specific corrections.Applications to data from the Cairngorm Mountains of Scotland show that the constant-plus-exponential (CPE) production rate-depth profile reduces but does not eliminate snow-shielding effects. Under present-day conditions, snow at 900 m in the Cairngorm Mountains reduces average production rates by 6% using the CPE profile and 9% with the exponential profile (EP). Long-term climate simulations from 15.5 ka through today produce larger snow shielding effects, mainly because they predict an increased proportion of precipitation as snowfall during the Younger Dryas. At 900 m, this long-term simulation reduces average cosmogenic isotope production rates by 12% (CPE) and 14% (EP). These results indicate that snow-shielding corrections based on historic climate records may be a potential source of systematic error in midlatitude mountainous regions.     

2001—2020年三江源地区积雪日数变化及地形分异

基于积雪面积逐日无云遥感产品和气象观测资料,分析了2001—2020年三江源地区积雪日数的水平、垂直分布特征及变化规律,并对积雪日数与气温和降水量进行了相关分析。结果表明：（1） 2001—2020年三江源地区积雪日数呈西高东低,高海拔山脉大于盆地平原的分布格局,高海拔山脉地区积雪日数均值普遍大于200 d,85.48%的区域积雪日数呈波动增加趋势,显著增加区域占比为16.59%,平均增加速率为0.98 d·a^-1。（2） 积雪日数及其变化趋势存在明显的海拔和坡向分异,积雪日数随海拔上升呈指数型增加,较低海拔（<3.0 km）区域积雪日数少、呈减少趋势且减少速率随海拔高度上升而加快;高海拔区域积雪日数较多且呈增多趋势,但海拔大于4.4 km后积雪日数增多速率随海拔上升而减缓,且5.5~6.0 km地区积雪日数呈减少趋势,高海拔地区积雪日数存在一定程度的“海拔依赖性”。积雪日数北坡大于南坡、西坡大于东坡,西北坡积雪日数最多,为78.30 d,不同坡向的积雪日数均呈增多趋势,其中西坡的增多速率最快,达1.04 d·a^-1。（3） 近20 a三江源地区明显的“暖湿化”气候特征是影响积雪日数变化的主要原因,其中降水量是主要驱动因素,积雪日数增多与降水量增加密切相关,且高海拔地区积雪日数对降水量的依赖性更强。     

Thermal Regime of Rock and its Relation to Snow Cover in Steep Alpine Rock Walls: Gemsstock,Central Swiss Alps

Snow cover influences the thermal regime and stability of frozen rock walls. In this study, we investigate and model the impact of the spatially variable snow cover on the thermal regime of steep permafrost rock walls. This is necessary for a more detailed understanding of the thermal and mechanical processes causing changes in rock temperature and in the ice and water contents of frozen rock, which possibly lead to rock wall instability. To assess the temporal and spatial evolution and influence of the snow, detailed measurements have been carried out at two selected points in steep north‐ and south‐facing rock walls since 2012. In parallel, the one‐dimensional energy balance model SNOWPACK is used to simulate the effects of snow cover on the thermal regime of the rock walls. For this, a multi‐method approach with high temporal resolution is applied, combining meteorological, borehole rock temperature and terrain parameter measurements. To validate the results obtained for the ground thermal regime and the seasonally varying snowpack, the model output is compared with near‐surface rock temperature measurements and remote snow cover observations. No decrease of snow depth at slope angles up to 70° was observed in rough terrain due to micro‐topographic structures. Strong contrasts in rock temperatures between north‐ and south‐facing slopes are due to differences in solar radiation, slope angle and the timing and depth of the snow cover. SNOWPACK proved to be useful for modelling snow cover–rock interactions in smooth, homogenous rock slopes.     

利用MODIS产品数据研究分析南极海岸带雪盖面积变化

本文利用MODIS雪产品数据研究分析了2003-2006年南极大陆海岸带雪盖面积的总体变化规律,并在此基础上选取18个典型区作进一步研究,分析了其局地特征。研究表明,南极大陆海岸带地区积雪覆盖面积总体上呈波动下降趋势,暖季比寒季波动显著。从积雪时间变化看:季节尺度上,南极海岸带地区寒季(4-10月)雪盖面积迅速增加,暖季(11-3月)雪盖面积的变化趋势表现不一致,2004年和2006年表现为先减少后增加,2005年为先增加后减少,但总体呈现减少的趋势,寒暖两季雪盖面积变化的特征与气候因素呈正反馈;年际尺度上,2003年的雪盖面积高于其他年份,2004年锐减之后再缓慢增加,总体上显现出波动伴随下降的趋势。从积雪空间上看,雪盖变化主要集中在南极大陆海岸线一带,大陆腹地的变化很小,可以忽略。另外,西南极雪盖变化比东南极显著。     

季节性积雪区不同遮挡条件下深霜发育比较

以中国科学院天山积雪雪崩研究站为研究区,在2009～2010年冬季观测期利用体视显微镜(XTZ-E)及拍照设备和雪特性分析仪(Snow Fork),对3种遮挡条件的开阔地(0遮挡)、树缘(50%遮挡)和树下(90%遮挡)的积雪深霜进行连续观测,比较和分析西北季节性积雪区不同遮挡条件下的深霜发育特征。研究表明:1)深霜发育主要受温度制约,其次是温度梯度。由不同遮挡条件引起积雪累积和太阳辐射差异而导致雪深不同,从而形成的温度环境差异,是深霜发育差异的根本原因。2)深霜发育厚度与雪深呈正相关关系,有开阔地(0遮挡)>树缘(50%遮挡)>树下(90%遮挡),融雪期深霜的消减速率为树下>开阔地>树缘。3)深霜冰晶粒径呈先减小(稳定累积期-过渡期)再增大(-融雪期)的变化,积雪稳定累积期后,深霜粒径开阔地>树缘>树下。4)2009～2010年冬季雪深大,因而圆角深霜(DHxr)和圆角刻面冰晶(FCxr)在深霜中发育最多,二者共占70%～80%。开阔地易发育杯型深霜(DHcp),树缘和树下则易发育柱状条纹深霜(DHla)、棱柱状深霜(DHpr)和刻面冰晶(FCso)。深霜中胶结态冰晶约占10%～30%,其比例在开阔地深霜中递减,而在树缘和树下处递增。     

RS与GIS支持下的草地雪灾监测试验研究

冬季降雪是影响我国北方草原牧区畜牧业发展的重要因子。在草地雪灾监测和危险性评价过程中，确定积雪区域和积雪深度与牧草高度之间的关系是关键步骤。通过在内蒙古锡林郭勒草原的试验研究，可以认为：应用ＮＯＡＡ／ＡＶＨＲＲ气象卫星资料确定积雪分布范围、应用地面气象站观测的降雪量资料及由ＤＥＭ生成的地形参数确定积雪深 是在较大范围内进行雪灾监测的有效方法。     

Numerical simulations of the influence of the seasonal snow cover on the occurrence of permafrost at high latitudes

It has repeatedly been reported that snow cover is a dominating factor in determining the presence or absence of permafrost in the discontinuous and sporadic permafrost regions. The temperature at the snow-soil interface by the end of winter, known as the bottom temperature of winter snow (BTS) method, has been used to detect the existence of permafrost in European alpine regions when the maximum snow depth is about 1.0 m or greater. A critical snow thickness of about 50 cm or greater can prevent the development of permafrost in eastern Hudson Bay, Canada. The objective of this study is to investigate the impact of snow cover on the presence or absence of permafrost in cold regions through numerical simulations. A one-dimensional heat transfer model with phase change and a snow cover regime is used to simulate energy exchange between deep soils and the atmosphere. The model has been validated against the in situ data in the Arctic. The simulation results indicate that both snow depth and the onset date of snow cover establishment are important parameters in relation to the presence or absence of permafrost. Early establishment of snow cover can make permafrost disappear, even with a relatively thin snow cover. Permafrost may survive when snow cover starts after the middle of December even with a snow thickness >1.0 m. This effect of snow cover on the ground thermal regime can be explained with reference to the pattern of seasonal temperature variation. Early establishment of snow cover enhances the insulating impact over the entire cold season, thus warming and eventually thawing the permafrost. The insulating effect is substantially reduced when snow cover starts relatively late and snowmelt in the spring creates a huge heat sink, resulting in a favorable combination for permafrost existence.