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1.
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。  相似文献   

2.
Winter respiration in snow-covered ecosystems strongly influences annual carbon cycling, underlining the importance of processes related to the timing and quantity of snow. Fences were used to increase snow depth from 30 to 150 cm, and impacts on respiration were investigated in heath and mesic meadow, two common vegetation types in Svalbard. We manually measured ecosystem respiration from July 2007 to July 2008 at a temporal resolution greater than previously achieved in the High Arctic (campaigns: summer, eight; autumn, six; winter, 17; spring, nine). Moisture contents of unfrozen soil and soil temperatures throughout the year were also recorded. The increased snow depth resulted in significantly higher winter soil temperatures and increased ecosystem respiration. A temperature–efflux model explained most of the variation of observed effluxes: meadows, 94 (controls) and 93% (fences); heaths, 84 and 77%, respectively. Snow fences increased the total non-growing season efflux from 70 to 92 (heaths) and from 68 to 125 g CO2-C m−2 (meadows). The non-growing season contributed to 56 (heaths) and 42% (meadows) of the total annual carbon respired. This proportion increased with deeper snow to 64% in both vegetation types. Summer respiration rates were unaffected by snow fences, but the total growing season respiration was lower behind fences because of the considerably delayed snowmelt. Meadows had higher summer respiration rates than heaths. In addition, non-steady state CO2 effluxes were measured as bursts lasting several days during spring soil thawing, and when ice layers were broken to carry out winter efflux measurements.  相似文献   

3.
Coupled hydrological and atmospheric modeling is an efficient method for snowmelt runoff forecast in large basins. We use short-range precipitation forecasts of mesoscale atmospheric Weather Research and Forecasting (WRF) model combining them with ground-based and satellite observations for modeling snow accumulation and snowmelt processes in the Votkinsk reservoir basin (184,319 km2). The method is tested during three winter seasons (2012–2015). The MODIS-based vegetation map and leaf area index data are used to calculate the snowmelt intensity and snow evaporation in the studied basin. The GIS-based snow accumulation and snowmelt modeling provides a reliable and highly detailed spatial distribution for snow water equivalent (SWE) and snow-covered areas (SCA). The modelling results are validated by comparing actual and estimated SWE and SCA data. The actual SCA results are derived from MODIS satellite data. The algorithm for assessing the SCA by MODIS data (ATBD-MOD 10) has been adapted to a forest zone. In general, the proposed method provides satisfactory results for maximum SWE calculations. The calculation accuracy is slightly degraded during snowmelt periods. The SCA data is simulated with a higher reliability than the SWE data. The differences between the simulated and actual SWE may be explained by the overestimation of the WRF-simulated total precipitation and the unrepresentativeness of the SWE measurements (snow survey).  相似文献   

4.
科学监测祁连山积雪面积及变化特征对该区域气候研究、雪水资源开发利用、环境灾害预报及生态环境保护等具有重要意义。基于2001—2017年MOD10A2积雪产品和气象数据,分析祁连山积雪面积动态变化特征及与气温降水关系。结果显示:(1)2001—2017年祁连山积雪面积年际波动趋势较大,呈减小趋势,多年平均积雪面积约为5x104 km2,占祁连山总面积的25.9%;年内变化成 “M”型,即在一个积雪年中有两个波峰和波谷,波峰出现在11月和1月,波谷出现在7月;季节变化波动趋势较大,夏冬季积雪面积减小趋势大于春季,秋季呈现略微增加趋势。(2)祁连山区积雪面积主要分布在3 000~4 000 m及4 000~5 000 m,积雪覆盖率随着海拔上升呈现逐渐增大的趋势;祁连山区不同坡向积雪覆盖面积差异较大,积雪覆盖率差异较小;积雪频率高值区呈典型的条带状分布,与祁连山地形相一致,呈西北-东南分布,积雪频率高值区的分布西部大于东部。(3)初步分析认为祁连山积雪面积变化对气温要素更敏感。  相似文献   

5.
In order to analyze the differences between the two snow cover data, the snow cover data of 884 meteorological stations in China from 1951 to 2005 are counted. The data include days of visual snow observation, snow depth, and snow cover durations, which vary according to different definitions of snow cover days. Two series of data, as defined by "snow depth" and by "weather observation," are investigated here. Our results show that there is no apparent difference between them in east China and the Xinjiang region, but in northeast China and the Tibetan Plateau the "weather observation" data vary by more than 10 days and the "snow depth" data vary by 0.4 cm. Especially in the Tibetan Plateau, there are at least 15 more days of "weather observation" snow in most areas (sometimes more than 30 days). There is an obvious difference in the snow cover data due to bimodal snowfall data in the Tibetan Plateau, which has peak snowfalls from September to October and from April to May. At those times the temperature is too high for snow cover formation and only a few days have trace snow cover. Also, the characteristics and changing trends of snow cover are analyzed here based on the snow cover data of nine weather stations in the northeast region of the Tibetan Plateau, by the Mann-Kendall test. The results show significantly fewer days of snow cover and shorter snow durations as defined by "snow depth" compared to that as defined by "weather observation." Mann-Kendall tests of both series of snow cover durations show an abrupt change in 1987.  相似文献   

6.
LiYun Dai  Tao Che 《寒旱区科学》2011,3(4):0325-0331
Ground snow observation data from 1999 to 2008 were used to analyze the temporal and spatial distribution of snow density in China. The monthly maximum density shifted from north to south during the period from October to the following January, and then moved back from south to north during the period from January to April. The maximum snow density occurred at the border between Hunan and Jiangxi provinces in January, where snow cover duration was short and varied remarkably. Snow density in Northeast China and the Xinjiang Uygur Autonomous Region were also high and showed less variation when the snow cover duration was long. Ground observation data from nine weather stations were selected to study changes of snow density in Northeast and Northwest China. A phase of stable snow density occurred from the middle ten days of November to the following February; non-stationary density phases were observed from October to the first ten days of November and from March to April. To further investigate the effects of climatic factors on snow density, correlations between snow density and precipitation, air temperature, snow depth and wind velocity for Northeast and Northwest China were analyzed. Correlation analysis showed that snow depth was the primary influence on snow density.  相似文献   

7.
基于2001—2018年MOD10A2积雪产品和MOD11A2陆地表面温度数据,采用精细分区统计和相关性分析方法,研究了中国天山不同海拔高度上积雪垂直分布特征及其与地表温度(Land surface temperature,LST)的响应关系。结果表明:中国天山积雪覆盖率(Snow cover percentage,SCP)随海拔的变化呈现春、夏、秋、冬4种不同的季节变化模式。SCP在海拔4200 m以下呈秋冬季增加、春夏季减少态势,在海拔4200 m以上呈秋冬季减少、春夏季增加态势。除冬季外,春、夏、秋3个季节的SCP与LST均具有显著强负相关性。  相似文献   

8.
ABSTRACT

Rain-on-snow (ROS) has the potential to produce devastating floods by enhancing runoff from snowmelt. Although a common phenomenon across the eastern United States, little research has focused on ROS in this region. This study used a gridded observational snow dataset from 1960–2009 to establish a comprehensive seasonal climatology of ROS for this region. Additionally, different rain and snow thresholds were compared while considering temporal trends in ROS occurrence at four grid cells representing individual locations. Results show most ROS events occur in MAM (March-April-May). ROS events identified with rainfall >1 cm are more frequent near the east coast and events identified with >1 cm snow loss are more common in higher latitudes and/or elevations. Decreasing trends in DJF (December-January-February) ROS events were identified near the coastal areas, with increasing trends in the northern portion of the domain. Significant decreasing trends in MAM ROS are likewise present on a regional scale. Factors playing a role in snowpack depth and rainfall, such as movement of storm tracks in this region, should be considered with future work to discern mechanisms causing the changes in ROS frequency.  相似文献   

9.
新疆天山和北疆地区是我国三大稳定积雪区之一,积雪反照率的变化显著地影响其地表吸收的太阳辐射能量。2018年1~3月,在新疆天山和北疆地区进行了积雪反照率观测,发现研究区的积雪反照率存在明显的时空差异。时间上,由于受到气温变化的影响,研究区的积雪反照率整体呈现下降的趋势,而且不同时期的下降幅度有差异,1月末~3月初反照率的降低相比1月初~1月末反照率降低更加明显。空间上,由于受到污化物的影响,各区域(阿勒泰地区、塔城地区、天山北坡和伊犁河谷)的积雪反照率之间存在差异,其中天山地区(天山北坡和伊犁河谷)的积雪反照率低于北疆地区(阿勒泰地区和塔城地区),天山北坡的反照率最低;在积雪稳定期及消融期,污化物对积雪反照率的影响最为明显。  相似文献   

10.
Estimation of the influence of snow grain size and black carbon on albedo is essential in obtaining the accurate albedo. In this paper, field measurement data, including snow grain size, snow depth and...  相似文献   

11.
积雪覆盖度对沙尘暴的影响分析   总被引:8,自引:2,他引:6  
李彰俊  郝璐  李兴华 《中国沙漠》2008,28(2):338-343
采用遥感监测内蒙古中西部地区积雪覆盖度数据以及地面气象观测站1961—2005年沙尘天气观测资料,以沙尘暴、扬沙发生日数为定量指标,分析了内蒙古中西部地区积雪覆盖度与沙尘暴、扬沙发生日数的关系。研究结果表明,在内蒙古中西部地区,积雪覆盖度与沙尘天气的发生有负相关关系,但地表积雪覆盖对沙尘暴的抑制作用要小于对扬沙的抑制作用,这种负相关关系在1—3月较11—12月更为显著。积雪覆盖度决定了积雪的影响范围,而积雪日数则决定了这种影响持续的时间,综合考虑这两种因素,构建了积雪指数用以反映积雪的这种空间和时间的共同作用。积雪指数能较好地反映积雪日数与积雪覆盖度对沙尘天气的综合作用。  相似文献   

12.
Snow cover is one of the most important factors controlling microclimate and plant growing conditions for Arctic and alpine ecosystems. Climate change is altering snowfall regimes, which in turn influences snow cover and ultimately tundra plant communities. The interest in winter climate change and the number of experiments exploring the responses of alpine and Arctic ecosystems to changes in snow cover have been growing in recent years, but their outcomes are difficult to summarize because of the large variability in manipulation approaches, extents and measured response variables. In this review, we (1) compile the ecological publications on snow manipulation experiments, (2) classify the studies according to the climate scenarios they simulate and response variables they measure, (3) discuss the methods applied to manipulate snow cover, and (4) analyse and generalize the response in phenology, productivity and community composition by means of a meta-analysis. This meta-analysis shows that flowering phenology responded strongly to changes in the timing of snowmelt. The least responsive group of species were graminoids; however, they did show a decrease in productivity and abundance with experimentally increased snow covers. The species group with the greatest phenological response to snowmelt changes were the dwarf shrubs. Their abundance also increased in most long-term snow fence experiments, whereas species richness generally declined. We conclude that snow manipulation experiments can improve our understanding of recently observed ecosystem changes, and are an important component of climate change research.  相似文献   

13.
利用2002-2008年6~9月EOS/MODIS卫星晴空资料,计算分析了融雪期库玛拉克河流域的积雪面积、覆盖率、雪深及雪水量;利用气象、水文台站的观测资料,对2002-2008年积雪变化与气象因子间的相互关系,2002-2008年7次洪峰时间段内最高温度的有效作用时间和12 h降水的有效影响时间等进行了分析与研究。结果表明:2002-2008年盛夏库玛拉克河流域高温融雪的主导作用比较明显,当流域内山区积雪量在5.5×108 m3以上、0 ℃层平均高度上升到4 500 m以上并且能维持4 d,库玛拉克河流域融雪型洪水的融雪量可达1.8×108~10.3×108 m3,夏季0 ℃层高度的变化可作为融雪型洪水预测的较好指标。2002-2008年这个历史时期实际积雪融化后产生的雪水当量9.88×108 t,全部融化后产生的最大可能雪水当量小于11.18×108 t;这个历史时期理论最大可能积雪融化后产生的雪水当量为17.55×108 t,全部融化后产生的雪水当量小于17.75×108 t。估算实际融化和理论融化的雪水当量,可为积雪融化后产生的最大洪水量估算提供数据支持。  相似文献   

14.
祁连山西段冰川积雪中大气粉尘沉积特征   总被引:5,自引:0,他引:5  
基于2012 年夏季野外考察、微粒粒度测试和扫描电镜(SEM-EDX) 微观形貌观测研究, 对位于我国青藏高原东北缘的祁连山西段典型极大陆型冰川区老虎沟12 号冰川、野牛沟十一冰川积雪中大气粉尘沉积进行了分析研究。两冰川区积雪中微粒的平均质量浓度分别是3461 μg/kg、2876 μg/kg, 年均沉积通量分别是207.6 μg/cm2、143.8 μg/cm2。将本研究区与其他区域冰川积雪中粉尘浓度对比研究表明, 冰川受周边粉尘源区影响较大。雪坑微粒浓度剖面和离子相关性分析表明, 祁连山西段冰川积雪中污化层富含亚洲粉尘的富Ca2+、Na+矿物;微粒体积-粒径分布众数介于3~22 μm, 两冰川区的粒径众数分别为12.6 μm和12 μm, 粒径分布均显示了单结构模式, 同时反映了祁连山冰川区与毗邻的天山地区雪冰中粉尘粒径分布模式的相似性和粒径众数的差异性。通过SEM-EDX对粉尘颗粒的微观结构研究发现, 颗粒绝大多数为形貌不规则的矿物粉尘颗粒, 和很少数量的飞灰颗粒等。同时, 对粉尘来源结合Sr-Nd同位素测定和气团后向轨迹分析进行验证, 认为位于研究区北边的巴丹吉林沙漠是祁连山12号冰川区粉尘最可能的源区。  相似文献   

15.
Hydrological processes were compared, with and without the influence of precipitation on discharge, to identify the differences between glacierized and non-glacierized catchments in the Urumqi River source region, on the northern slope of the eastern Tianshan Mountains, during the melting season (May-September) in 2011. The study was based on hydrological data observed at 10-min intervals, meteorological data observed at 15-min intervals, and glacier melting and snow observations from the Empty Cirque, Zongkong, and Urumqi Glacier No.1 gauging stations. The results indicated that the discharge differed markedly among the three gauging stations. The daily discharge was more than the nightly discharge at the Glacier No.1 gauging station, which contrasted with the patterns observed at the Zongkong and Empty Cirque gauging stations. There was a clear daily variation in the discharge at the three gauging stations, with differences in the magnitude and duration of the peak discharge. When precipitation was not considered, the time-lags between the maximum discharge and the highest temperature were 1-3 h, 10-16 h, and 5-11 h at the Glacier No.1, Empty Cirque, and Zongkong gauging stations, respectively. When precipitation was taken into consideration, the corresponding time-lags were 0-1 h, 13 h, and 6-7 h, respectively. Therefore, the duration from the generation of discharge to confluence was the shortest in the glacierized catchment and the longest in the catchment where was mainly covered by snow. It was also shown that the hydrological process from the generation of discharge to confluence shortened when precipitation was considered. The factors influencing changes in the discharge among the three gauging stations were different. For Glacier No.1 station, the discharge was mainly controlled by heat conditions in the glacierized region, and the discharge displayed an accelerated growth when the temperature exceeded 5°C in the melt season. It was found that the englacial and subglacial drainage channel of Glacier No.1 had become simpler during the past 20 years. Its weaker retardance and storage of glacier melting water resulted in rapid discharge confluence. It was also shown that the discharge curve and the time-lag between the maximum discharge and the highest temperature could be used to reveal the evolution of the drainage system and the process of glacier and snow melting at different levels of glacier coverage.  相似文献   

16.
西北地区山区融雪期气候变化对径流量的影响(英文)   总被引:5,自引:0,他引:5  
Water resources in the arid land of Northwest China mainly derive from snow and glacier melt water in mountainous areas. So the study on onset, cessation, length, tempera-ture and precipitation of snowmelt period is of great significance for allocating limited water resources reasonably and taking scientific water resources management measures. Using daily mean temperature and precipitation from 8 mountainous weather stations over the pe-riod 1960?2010 in the arid land of Northwest China, this paper analyzes climate change of snowmelt period and its spatial variations and explores the sensitivity of runoff to length, temperature and precipitation of snowmelt period. The results show that mean onset of snowmelt period has shifted 15.33 days earlier while mean ending date has moved 9.19 days later. Onset of snowmelt period in southern Tianshan Mountains moved 20.01 days earlier while that in northern Qilian Mountains moved only 10.16 days earlier. Mean precipitation and air temperature increased by 47.3 mm and 0.857℃ in the mountainous areas of Northwest China, respectively. The precipitation of snowmelt period increased the fastest, which is ob-served in southern Tianshan Mountains, up to 65 mm, and the precipitation and temperature in northern Kunlun Mountains increased the slowest, an increase of 25 mm and 0.617℃, respectively, while the temperature in northern Qilian Mountains increased the fastest, in-creasing by 1.05℃. The annual runoff is also sensitive to the variations of precipitation and temperature of snowmelt period, because variation of precipitation induces annual runoff change by 7.69% while change of snowmelt period temperature results in annual runoff change by 14.15%.  相似文献   

17.
应用天山北坡乌鲁木齐河源区1 号冰川、空冰斗和总控3 个水文断面2011 年5-9 月每10min 实测水位数据、15 min 的气温、降水数据、1 号冰川消融及空冰斗区积雪观测数据,采用排除和不排除降水对冰雪消融产流影响的研究方法,系统分析了不同冰川覆盖率下水文断面冰雪消融特征及产汇流过程。结果表明:(1) 乌鲁木齐河源区3 个水文断面流量昼夜差异明显,1 号冰川水文断面白天径流大于夜晚径流,空冰斗和总控断面则相反;3 个断面流量亦具有显著日变化过程,且流量峰值大小和到来的时间存在差异。(2) 在排除与不排除降水两种天气影响下,1 号冰川最大流量滞后最高气温分别为1~3 h 和0~1 h;空冰斗断面分别为10~16 h和13 h,总控断面分别为5~11 h 和6~7 h,反映了1 号冰川从消融产流到汇流时间最短,空冰斗积雪消融产流时间最长,总控位于二者之间,同时亦反映伴随降水过程冰雪融水汇流迅速,即从产流到汇流时间有一定的缩短。(3) 影响3 个水文断面流量变化的因素不同,冰川区热量条件是影响1 号冰川水文断面的关键,1 号冰川在过去20 余年间,冰内、冰下排水道变得更为单一,对融水的阻滞和贮存作用弱化,融水汇流过程变得更为迅速。(4) 冰川覆盖山区流域水文断面在冰川消融期的流量过程线变化及最大流量与最高气温时滞变化规律在一定程度上对于认识冰川覆盖率有差异背景下的流域下垫面水系演化、冰雪消融过程及水文断面径流补给具有重要的指示意义。  相似文献   

18.
基于高光谱数据的天山北坡积雪孔隙率反演研究   总被引:1,自引:1,他引:0  
习阿幸  刘志辉  徐倩  张波 《干旱区地理》2015,38(6):1253-1261
以新疆天山北坡中段典型流域季节性积雪为研究对象,基于高光谱遥感监测技术,分析了融雪期积雪孔隙率与光谱反射率的相关性。采用偏最小二乘法(PLS)对相关性较高的波段进行压缩,并提取贡献率最高的前四个主成分,以此用来确定神经网络的隐含节点数、输入层、输出层的初始权值,建立PLS-BP模型进行积雪孔隙率反演研究。结果表明:当隐含节点数为3,模型的线性确定相关系数(R2)较高为0.9159,RMSE为0.04,相对误差为0.23。与传统偏最小二乘回归(PLSR)、主成分回归(PCA)建模方法相比,精度较高,所建定量模型可用于高光谱遥感反演积雪孔隙率。  相似文献   

19.
基于MODIS积雪产品的高亚洲融雪末期雪线高度遥感监测   总被引:4,自引:0,他引:4  
以2001—2016年逐日MODIS积雪产品为主要数据源,在高亚洲区域发展了大尺度融雪末期雪线高度的遥感提取方法,并对其2001—2016年的时空变化特征进行了分析。提取方法首先对逐日的MODIS积雪覆盖率产品进行去云处理,获得积雪覆盖日数(SCD)数据集;并用冰川年物质平衡观测数据、融雪末期Landsat数据对提取终年积雪的MODIS SCD阈值进行率定;最后以MODIS SCD提取的终年积雪面积结合地形“面积—高程”曲线实现大尺度融雪末期雪线高度信息的提取。结果表明:① 高亚洲融雪末期雪线高度的空间异质性较强,总体上呈南高北低的纬度地带性分布规律;并因受山体效应的影响,雪线高度由高海拔地区向四周呈环形逐渐降低的特点。② 高亚洲2001—2016年融雪末期雪线高度总体上表现为明显的增加趋势。在744个30 km的监测格网中,24.2%的格网雪线高度呈显著增加,而仅0.9%的格网呈显著下降。除兴都库什、西喜马拉雅外,其他地区雪线高度均表现为升高趋势,显著上升的地区主要分布在天山、喜马拉雅中东部和念青唐古拉山等,其中以东喜马拉雅升高最为显著(8.52 m yr -1)。③ 夏季气温是影响高亚洲融雪末期雪线高度变化的主要因素,两者具有显著的正相关关系(R = 0.64,P < 0.01)。  相似文献   

20.
西北干旱区山区融雪期气候变化对径流量的影响   总被引:9,自引:1,他引:8  
李宝富  陈亚宁  陈忠升  李卫红 《地理学报》2012,67(11):1461-1470
利用8 个山区气象站1960-2010 年日平均气温、降水和7 个出山口水文站的年径流数据(1960-2008), 统计分析了山区融雪期开始时间、结束时间、天数、温度和降水的变化趋势及其空间差异性, 并定量评估了年径流量对融雪期温度和降水变化的敏感性。结果表明, 近50年来, 山区融雪期平均提前了15.33 天, 延迟了9.19 天;其中, 天山南部山区融雪期提前时间最长, 为20.01 天, 而延迟时间最短, 仅6.81 天;祁连山北部山区融雪期提前时间最短(10.16天), 而延迟时间最长(10.48 天)。这显示山区融雪期提前时间越长, 延迟时间则越短。山区融雪期平均降水量增加了47.3 mm, 平均温度升高了0.857℃;其中天山南部山区降水增量最大, 达65 mm, 昆仑山北部山区降水和温度增量均最小, 分别为25 mm和0.617℃, 而祁连山北部山区温度增量最高(1.05℃)。河流径流量对融雪期气候变化敏感, 降水变化诱发年径流量变化了7.69%, 温度变化使得年径流量改变了14.15%。  相似文献   

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