Analysis of snowpack dynamics during the spring melt season for a sub‐alpine site using point measurements and numerical modeling

Snowpack dynamics through October 2014–June 2017 were described for a forested, sub‐alpine field site in southeastern Wyoming. Point measurements of wetness and density were combined with numerical modeling and continuous time series of snow depth, snow temperature, and snowpack outflow to identify 5 major classes of distinct snowpack conditions. Class (i) is characterized by no snowpack outflow and variable average snowpack temperature and density. Class (ii) is characterized by short durations of liquid water in the upper snowpack, snowpack outflow values of 0.0008–0.005 cm hr^?1, an increase in snowpack temperature, and average snow density between 0.25–0.35 g cm^?3. Class (iii) is characterized by a partially saturated wetness profile, snowpack outflow values of 0.005–0.25 cm hr^?1, snowpack temperature near 0 °C, and average snow density between 0.25–0.40 g cm^?3. Class (iv) is characterized by strong diurnal snowpack outflow pattern with values as high as 0.75 cm hr^?1, stable snowpack temperature near 0 °C, and stable average snow density between 0.35–0.45 g cm^?3. Class (v) occurs intermittently between Classes (ii)–(iv) and displays low snowpack outflow values between 0.0008–0.04 cm hr^?1, a slight decrease in temperature relative to the preceding class, and similar densities to the preceding class. Numerical modeling of snowpack properties with SNOWPACK using both the Storage Threshold scheme and Richards' equation was used to quantify the effect of snowpack capillarity on predictions of snowpack outflow and other snowpack properties. Results indicate that both simulations are able to predict snow depth, snow temperature, and snow density reasonably well with little difference between the 2 water transport schemes. Richards' equation more accurately simulates the timing of snowpack outflow over the Storage Threshold scheme, especially early in the melt season and at diurnal timescales.     

青海省雪灾气候预测的地气图方法

通过对青海省1960年以来全省各气象站的雪灾资料统计分析,结合青海省南部(下称青南)地区8月份的地气形势,发现二者之间有很好的相关：夏季地热涡和正鞍形场多对应冬季为重雪灾;地冷涡和负鞍形场多对应冬季为轻灾或无灾。春夏季上游的中强地震可加强冬季的雪灾。由此表明,利用地气图方法可以较好地预测青海省的雪灾。     

青藏高原1985年冬季异常少雪和1986年异常多雪的环流及气候特征对比研究

利用青藏高原冬季异常积雪资料对比分析了 1 985年冬季异常少雪和 1 986年冬季异常多雪时期大气环流及热带海洋特征。分析结果表明 ,高原冬季多雪与少雪时中高纬度大气环流显著不同。与此同时 ,低纬热带环流及海洋特征也有明显的差异。探讨了造成这种差异的可能原因。     

Spatial and seasonal variation of major ions in Himalayan snow and ice: A source consideration

The spatial and temporal variation of major ions (Ca²⁺, Mg²⁺, Na⁺, K⁺, , , and Cl⁻) in Himalayan snow and ice is investigated by using two snow pits from the East Rongbuk glacier (28°01′N, 86°58′E, 6500 m a.s.l.), one snow pit from the Nangpai Gosum glacier (28°03′N, 86°39′E, 5700 m a.s.l.), one snow pit from the Gyabrag glacier (28°11′N, 86°38′E, 6303 m a.s.l.), and three ice cores from the Sentik (35°59′N, 75°58′E, 4908 m a.s.l.), Dasuopu (28°33′N, 85°44′E, 7000 m a.s.l.), and East Rongbuk (27°59′N, 86°55′E, 6450 m a.s.l.) glaciers, respectively. In general, the major ions show a significant seasonal variation, with high concentrations during the non-monsoon (pre-monsoon and post-monsoon) season and relatively low concentrations during the monsoon season. Monsoon precipitation with high local/regional dust loading related to summer circulation is possibly responsible for the high concentrations occurring sporadically during the monsoon season. The crest of the Himalayas is an effective barrier to the spatial distribution of Na⁺, Cl⁻ and concentrations, but not to the major ions associated with dust influx (e.g. Ca²⁺ and Mg²⁺). Atmospheric backward trajectories from the HYSPLIT_4 model used in identifying chemical species sourcing suggest that the major ions in the Himalayan snow and ice come mainly from the Thar Desert located in the North India, as well as West Asia, or even the distant Sahara Desert in the North Africa during the winter and spring seasons. This is different from the conventionally assumed arid and semi-arid regions of the central Asia. Factors, such as different vapor sources due to atmospheric circulation patterns and geographical features (e.g. altitude, topography), may contribute to the differences in major ionic concentrations between the western and eastern Himalayas.     

地气的宏观效应与微观效应

根据地球内部气体 (地气 )的释放特征及对生态环境产生的影响 ,文中提出了地气的宏观效应及地气的微观效应的概念。地气的宏观效应主要是由地球内部大量气体的突然释放所引起 ,它具有突发性、宏观性及难于研究的特点。地气宏观效应有多种表现形式 ,如火山爆发、地震前后排气及一些大的自然灾害及自然现象等。地气的微观效应则是由地球内部气体持续微观释放所引起 ,它具有普遍性、微观性及可研究的特点。地气的微观排放及地气作用下物质的远距离迁移是地气微观效应的主要表现形式。研究地气的微观排放对于研究温室气体及气候变化有重要意义 ,而研究地气作用下物质的远距离迁移现象对于石油、金属矿的勘探以及在环境研究中都有重要的意义。本文阐述了地气宏观效应及地气微观效应的定义、特点、表现形式及其研究意义。     

降雪与冻雨天气研究回顾

2008年初,中国南方许多地区出现了历史罕见的持续雨雪、冰冻天气,对电力、交通、农业、林业等造成了极大破坏。分析研究这种在全球气候变化背景下发生的极端天气事件的形成原因,有助于提高预测水平和对类似灾害性天气的防范能力。在对近年来国内外关于冬季降雪和冻雨天气研究进行简略回顾的基础上,对其未来研究方向进行了展望。认为：在全球气候变暖的背景下,要加强雨雪、冰冻天气形成机理与变化规律的研究,特别是要加强其发生的前兆性研究;要充分利用现代先进的探测技术和手段,提高对雨雪、冰冻天气的监测能力;要建立和完善对雨雪、冰冻灾害天气时间发生、发展的预报技术和方法。     

AIEM模型在积雪散射模拟中的应用

 介绍一种基于一阶辐射传输的积雪散射模型。该模型考虑了积雪覆盖地表微波散射的3种回波分量： 雪层表面散射、下垫面散射以及雪层体散射。对于其中2个面散射分量，文章中应用一种新的面散射模型——AIEM取代原有的IEM模型进行处理。最后，使用Michigan大学的实测数据对改进后模型的模拟结果进行验证，并与改进前的模拟结果进行了对比。     

Snow loads on wire mesh and cable net rockfall slope protection systems

Snow load on mesh systems is complicated by many factors. This paper presents field instrumentation data on snow load variation with temperature, snowfall and snow depth on a mesh system. It was found that snow load pattern on mesh systems changed with temperature even without variation in snow depth. It reached its maximum value when the temperature rose just above freezing to melt the interface. The field data was used to formulate appropriate snow load models for the various conditions of temperature in the field. The snow load models were used to study the performance of a number of mesh systems in North America and estimate the interface friction that was prevalent for the different surface conditions.     

包头地区二次大雪过程的成因分析

文章应用常规资料,从天气环流形势演变、物理量等方面,对2000年1月10—11日包头地区普降大雪过程作了客观的分析,揭示了大雪过程的发生、发展机制,对今后分析大雪过程具有一定指导意义。     

Physico-chemical characteristics and environmental significance of snow deposition on Haxilegen glacier No.51 in Tian Shan, China

Snow chemistry on the glaciers of alpine regions is a good indicator of atmospheric environmental change.We examine snow chemistry in three snowpits at different altitudes on the Haxilegen Glacier No.51,in the Kuitun River source,Tian Shan,China,during July-September 2004 to 2007.We use correlation analysis,factor analysis and sea-salt tracing methods to examine the characteristics and sources of major ions and mineral dust particles in the snow.Results show that mineral dust particles and major ions in the snow pits vary seasonally.During the Asian dust period in springtime,the concentration of mineral dust particles and major ions deposited in snow is high,while the concentration is relatively low during the non-dust period of summer and autumn.This may be caused by dust storm activity in central Asia.The order of major ionic concentrations in the snow packs was determined to be Ca2+ > SO42-> NH4+ > NO3-> Cl-> Na+ > Mg2+ > K+.Ca2+ was the dominant cation;SO42- was the dominant anion.We find,with the exception of NO3-,that the variabilities of ionic concentrations are highly correlated.Results show that the glacier region was significantly affected by dust activity and anthropogenic source.The major ions,especially Na+,originate from dust sources of central Asia and from the Ocean,transported by the westerly winds.