基于CMIP6气候模式的新疆积雪深度时空格局研究

积雪深度的变化对地表水热平衡起着至关重要的作用。选用了国际耦合模式比较计划第六阶段（CMIP6）中目前情景比较齐全的五个全球气候模式,通过对比新疆地区1979—2014年积雪深度长时间序列数据集,评估了气候模式在新疆地区模拟积雪深度的模拟能力,接着预估了未来不同SSPs-RCPs情景下新疆地区在2021—2040年（近期）、2041—2060年（中期）、2081—2100年（末期）相对于基准期（1995—2014年）的积雪深度变化。气温和降水对积雪深度变化有着重要的影响,因此还分析了新疆地区到21世纪末期气温和降水的变化趋势。结果表明：订正后的气候模式模拟的积雪深度数据与观测数据的相关系数均达到0.8以上,其中1月至3月与观测数据的结果更为吻合。气候模式基本上能够反映积雪深度年内变化的基本特征,气候模式模拟的积雪深度空间分布和观测数据具有相似的特征。气温和降水在未来不同情景下均会波动上升,其中气温的增幅相对比较明显,达0.43 ℃·（10a）^-1,而降水的增幅为0.63 mm·（10a）^-1,新疆未来的气候总体上呈现出变暖变湿的趋势。新疆地区的平均积雪深度在未来不同时期相对基准期均呈增加的趋势。SSP1-1.9情景下,21世纪近期、中期和末期北部大部分地区的积雪深度将会有所增加;SSP1-2.6情景下,北部阿尔泰山地区的积雪深度在21世纪近期有所减小,但中期和末期将会有所增加;SSP2-4.5情景下,21世纪不同时期东部地区的积雪深度将会有所增加,北部和中部大部分地区在不同时期积雪深度将会变小;SSP3-7.0情景下,21世纪不同时期北部和西南地区的积雪深度将会普遍变小,东部地区的积雪深度将普遍增加;SSP4-3.4和SSP4-6.0情景下,21世纪不同时期西南昆仑山地区的积雪深度将会普遍变小,东部地区的积雪深度将普遍增加;SSP5-8.5情景下,北部阿尔泰山地区和东部地区的积雪深度将普遍增加。     

度日模型在冰川与积雪研究中的应用进展

度日模型是基于冰川与积雪消融和气温,尤其是冰雪表面的正积温之间的线性关系建立的.度日模型已广泛应用于北欧、阿尔卑斯山、格陵兰冰盖、青藏高原等地区的冰雪消融、冰川物质平衡及对气候敏感性响应、冰川动力模型以及冰雪融水径流模拟等的研究中.度日模型尽管是对冰雪表面消融能量平衡这一复杂过程的简化描述,但在流域尺度上,通常可以获取类似于能量平衡模型的输出结果.度日模型也有其不足之处,仍需进一步的改进与完善.     

青海高原1961-2013年积雪日数变化特征分析

应用1961-2013年逐日积雪深度及气象要素资料,采用REOF、多元线性回归等方法,分析了青海高原积雪日数时空分布特征,探讨了各季节积雪日数与气温和降水的关系.结果表明：（1）青海高原积雪日数呈先增加再减少的变化趋势,1961年至20世纪90年代末呈增加趋势,其中1982年达到峰值为44天,2000-2012年呈减少趋势.（2）青海高原积雪时空分布不均,地域差异大,分为六个积雪气候区,主要特点为高原南部积雪日数最多且呈显著增加趋势;东部农业区、西部柴达木盆地积雪少且呈下降趋势.（3）冬、春季积雪日数有上升趋势,冬季较显著;秋季积雪日数有下降趋势.（4）各季节平均气温均呈上升趋势,是影响秋、春季积雪的关键因子;冬、春季降水量呈上升趋势,是影响冬季积雪的关键因子.青海高原冬、春季有暖湿化趋势.     

Climate in Southwestern Ontario, Canada, between AD 1610 and 1885 Inferred from Oxygen and Hydrogen Isotopic Measurements of Wood Cellulose from Trees in Different Hydrologic Settings

Oxygen and hydrogen isotopes were measured in wood cellulose and cellulose-nitrate from trees that grew in different hydrologic settings in southwestern Ontario, Canada. An isotope model that accounts for isotopic fractionations associated with photosynthesis in plants was applied to the stable isotope data to infer past meteoric water isotopic composition and seasonal air moisture variations. The model-inferred climate data was rationalized in terms of the trees' hydrologic environment and weather characteristics of the Great Lakes region. The result is an account of summer and winter conditions in southwestern Ontario for 275 years (1610 to 1885) prior to instrumental climate records. Conditions between 1610 and 1750 are inferred to have been cooler and drier than present. This was followed by a warm-moist climate interval between 1750 and 1885 during which there was an increase in winter precipitation. Cool-dry conditions were recorded instrumentally in this region at the end of the nineteenth century.     

未来气候情景下长江上游区域积雪时空变化分析——基于CMIP5多模式集合数据

基于21个CMIP5全球气候模式集合数据,耦合VIC模型,预估了未来30年（2011-2040年）RCP2.6、RCP4.5和RCP8.5 三个情景下长江上游区域积雪的时空变化。结果表明:与基准期1970-1999年相比,长江上游区域未来30年的多年平均气温和各月平均气温都将升高1~2℃,其中冬季和春季升温较大;平均年降水量将增加3%~4%,但秋、冬季降水有所减小。未来30年平均积雪深相对于基准期将减小37.8%左右,在积雪过程中达到最大积雪深的时间与基准期基本相同,而融雪开始的时间略有延后;从空间变化来看,冬季（1月份）长江上游区域大部分地区的积雪深都呈现减小趋势,部分地区积雪深减小超过了50%。     

Impact of climate change on groundwater recharge in a small catchment in the Black Forest, Germany

Temporal and spatial changes of the hydrological cycle are the consequences of climate variations. In addition to changes in surface runoff with possible floods and droughts, climate variations may affect groundwater through alteration of groundwater recharge with consequences for future water management. This study investigates the impact of climate change, according to the Special Report on Emission Scenarios (SRES) A1B, A2 and B1, on groundwater recharge in the catchment area of a fissured aquifer in the Black Forest, Germany, which has sparse groundwater data. The study uses a water-balance model considering a conceptual approach for groundwater-surface water exchange. River discharge data are used for model calibration and validation. The results show temporal and spatial changes in groundwater recharge. Groundwater recharge is progressively reduced for summer during the twenty-first century. The annual sum of groundwater recharge is affected negatively for scenarios A1B and A2. On average, groundwater recharge during the twenty-first century is reduced mainly for the lower parts of the valley and increased for the upper parts of the valley and the crests. The reduced storage of water as snow during winter due to projected higher air temperatures causes an important relative increase in rainfall and, therefore, higher groundwater recharge and river discharge.     

Features of climate change and their effects on glacier snow melting in Xinjiang,China

The features of climate change and their effects on glacier snow melting in the past 50 years (1961–2010) in Xinjiang were studied. Regional climate data for 49 meteorological stations in the Tianshan Mountains and the northern and southern areas of Xinjiang were collected with the aid of techniques such as climatological statistical diagnosis, regional climate models, remote sensing, and geographic information system. The annual average temperature displayed a rising trend across the Tianshan mountainous area and both areas of Xinjiang. The trend was particularly apparent in winter and autumn with the rate of increase in the annual average minimum temperature being significantly higher than that of the maximum temperature. Rainfall also tended to increase in all three areas over the 50-year period, with the magnitude of change being highest in the mountainous area followed by northern Xinjiang and then southern Xinjiang. As a result of the rising temperatures, there was a negative material balance among the region's glaciers, of which the year 1982/1983 was the key year for the development of Tianshan mountain glacier snow. After this date, glacial ablation intensified with an annual change increase in average temperature of 1 °C, leading to a glacier material balance change of about 300 mm. To establish rainfall and temperature sequences for three regional climate change scenarios in the 2011–2050 period, we adopted the delta method using actual measurements during the 1961–2000 period against corrected data from rainfall and temperature simulations. All three scenarios indicated that temperatures will continue to increase, that the increase in rainfall may decrease in mountainous regions but will increase in the basin, and that the speed of glacial ablation in Xinjiang will continue to accelerate.     

Climate change and tropical Andean glaciers: Past,present and future

Observations on glacier extent from Ecuador, Peru and Bolivia give a detailed and unequivocal account of rapid shrinkage of tropical Andean glaciers since the Little Ice Age (LIA). This retreat however, was not continuous but interrupted by several periods of stagnant or even advancing glaciers, most recently around the end of the 20th century. New data from mass balance networks established on over a dozen glaciers allows comparison of the glacier behavior in the inner and outer tropics. It appears that glacier variations are quite coherent throughout the region, despite different sensitivities to climatic forcing such as temperature, precipitation, humidity, etc. In parallel with the glacier retreat, climate in the tropical Andes has changed significantly over the past 50–60 years. Temperature in the Andes has increased by approximately 0.1 °C/decade, with only two of the last 20 years being below the 1961–90 average. Precipitation has slightly increased in the second half of the 20th century in the inner tropics and decreased in the outer tropics. The general pattern of moistening in the inner tropics and drying in the subtropical Andes is dynamically consistent with observed changes in the large-scale circulation, suggesting a strengthening of the tropical atmospheric circulation. Model projections of future climate change in the tropical Andes indicate a continued warming of the tropical troposphere throughout the 21st century, with a temperature increase that is enhanced at higher elevations. By the end of the 21st century, following the SRES A2 emission scenario, the tropical Andes may experience a massive warming on the order of 4.5–5 °C. Predicted changes in precipitation include an increase in precipitation during the wet season and a decrease during the dry season, which would effectively enhance the seasonal hydrological cycle in the tropical Andes.These observed and predicted changes in climate affect the tropical glacier energy balance through its sensitivity to changes in atmospheric humidity (which governs sublimation), precipitation (whose variability induces a positive feedback on albedo) and cloudiness (which controls the incoming long-wave radiation). In the inner tropics air temperature also significantly influences the energy balance, albeit not through the sensible heat flux, but indirectly through fluctuations in the rain–snow line and hence changes in albedo and net radiation receipts.Given the projected changes in climate, based on different IPCC scenarios for 2050 and 2080, simulations with a tropical glacier–climate model indicate that glaciers will continue to retreat. Many smaller, low-lying glaciers are already completely out of equilibrium with current climate and will disappear within a few decades. But even in catchments where glaciers do not completely disappear, the change in streamflow seasonality, due to the reduction of the glacial buffer during the dry season, will significantly affect the water availability downstream. In the short-term, as glaciers retreat and lose mass, they add to a temporary increase in runoff to which downstream users will quickly adapt, thereby raising serious sustainability concerns.     

新疆21世纪气候变化的高分辨率模拟

使用一个25 km高水平分辨率区域气候模式(RegCM3),嵌套MIROC3.2_hires全球气候模式结果,进行了IPCC SRES A1B情景下,东亚区域21世纪气候变化的模拟,针对新疆地区进行了分析.首先对模式模拟的当代（1981-2000年）气候进行检验,结果表明:模式对年平均气温、降水的空间分布和数值均具有较...     

Hydro-morphometrical analyses of sub-himalyan region in relation to small hydro-electric power

The choice of site for small hydropower potentials in the inaccessible tracts of Himalayan region is a difficult task by the conventional methods. Present work suggests a site for developing a multipurpose small reservoir under GIS framework, in the Sub Himalayan region, India. Scarcity of geographical, climate and statistical data was the main problem for development of seasonal precipitation and runoff modeling for assessing water potentials and identification of possible small-scale hydropower sites. Small hydropower potential is mainly regulated by head and its durability available at site depending upon capacity of the watershed, underlying the reservoir, to produce the runoff. The study reveals that the Bari-Ka- Khad watershed (BKW) can be considered as a suitable site of interest for small-scale hydropower installation. It is having maximum drainage density (7.45 km/km²) and maximum available relief ratio (0.12), which demonstrates better capacity to produce runoff. According to drainage texture of BKW (R_t?=?2.35), it come under coarse texture and higher values of Rho coefficient (ρ?=?3.65), suggesting higher hydrologic storage during rainfall and attenuation of effects of erosion during elevated discharge.     

北京-张家口地区冬春季积雪特征分析

2022年冬奥会将在北京-张家口（以下简称北-张地区）举办,揭示该地区的积雪变化特征及其在全球变暖背景下的发展趋势,对冬奥会的筹备以及当地的积雪资源的开发利用等方面都有重要意义。利用2002-2014年MODIS遥感积雪产品提取了研究区域积雪数据,结合1966-2013年台站积雪、气温和降水资料和DEM数据,分析了积雪的时空分布特征,并对冬奥会场地进行积雪资源评价。结果表明：2002-2013冬春年北张地区的整体积雪频率较小,多处于0~0.2之间,但场馆区2月的积雪频率多在0.5以上,最大值接近0.9左右,积雪的分布呈带状和点状。积雪覆盖率最大值出现在1月初,达到0.23。积雪的形成缓慢,但是消亡迅速。1966-2012冬春年冬季积雪日数的波动幅度大于春季,延庆和崇礼县的2月份积雪日数分别为4.6d和13.9d,且均呈下降状态。积雪初终日均有提前,但整体的积雪期在减少。北京和张家口整体的最大积雪深度变化平稳,在1966-1980年和2000-2012年处于高值区,波动较大,其他年份最大雪深处于低值变化平稳,延庆和崇礼县的2月份最大积雪深度分别为3.6cm和5.1cm。通过分析积雪指标与气象因子（气温、降水）的相关关系发现,在年内（年际）变化上,积雪指标与气温（降水）的关系更为密切。冬奥会场地的2月份气温在-14~2℃之间,月平均降水量仅0.2mm·d^-1,积雪日数不足,预计难以形成足够深度的雪,且未来气温上升,达到0.8℃·（10a）^-1,降水、积雪深度和积雪日数均呈下降趋势,可能60%~95%的赛事用雪将来自人造雪,以应对可能的积雪不足。     

气候变化对新疆玛纳斯河流域水文水资源的影响

考虑积雪和降水不均等特点,对流域进行分带处理,提出和建立了包含积雪融雪结构的水文评价模型。利用该模型求得未来不同气候变化情况下的月均流量过程,分析气候变化对玛纳斯河流域水文水资源的影响。结果表明:若气温升高2℃,降水减少20%,则夏季径流减少52.59%,冬季径流减少1.77%,年均径流减少46.87%。     

Palaeotemperature reconstructions of the European permafrost zone during marine oxygen isotope Stage 3 compared with climate model results

A palaeotemperature reconstruction based on periglacial phenomena in Europe north of approximately 51 °N, is compared with high‐resolution regional climate model simulations of the marine oxygen isotope Stage 3 (Stage 3) palaeoclimate. The experiments represent Stage 3 warm (interstadial), Stage 3 cold (stadial) and Last Glacial Maximum climatic conditions. The palaeotemperature reconstruction deviates considerably for the Stage 3 cold climate experiments, with mismatches up to 11 °C for the mean annual air temperature and up to 15 °C for the winter temperature. However, in this reconstruction various factors linking climate and permafrost have not been taken into account. In particular a relatively thin snow cover and high climatic variability of the glacial climate could have influenced temperature limits for ice‐wedge growth. Based on modelling the 0 °C mean annual ground temperature proves to be an appropriate upper temperature limit. Using this limit, mismatches with the Stage 3 cold climate experiments have been reduced but still remain. We therefore assume that the Stage 3 ice wedges were generated during short (decadal time‐scale) intervals of extreme cold climate, below the mean temperatures indicated by the Stage 3 cold climate model simulations. Copyright © 2003 John Wiley & Sons, Ltd.     

Snow cover depletion under changed climate with the help of remote sensing and temperature data

Snow cover depletion curve (SDC) is one of the important variables in snow hydrological applications, and these curves are very much required for snowmelt runoff modeling in a snowfed catchment. Remote sensing is an important source of snow cover area which is used for preparation of SDC. Snow cover maps produced by Moderate Resolution Imaging Spectroradiometer (MODIS) satellites are one of the best source of satellite-based snow cover area at a regular interval. Therefore, in this study, snow cover maps have been prepared for the years 2000?C2005 using MODIS data. The study area chosen viz. Beas basin up to Pandoh dam falls in western Himalayan region. For snowmelt runoff modeling, catchment is divided into number of elevation zones and SDC is required for each zone. When sufficient satellite data are not available due to cloud cover or due to some other reasons, then SDC can to be generated using temperature data. Under changed climate conditions also, modified SDC is required. Therefore, to have SDC under such situations, a relationship between snow cover area and cumulative mean temperature has been developed for each zone of the catchment. This procedure of having snow cover maps has two main purposes. First, it could potentially be used to generate snow cover maps when cloud-free satellite data are not available. Second, it can be used to generate snow-covered area in a new climate to see the impact of climate change on snowmelt runoff studies.     

6kaB.P.东亚区域气候模拟及其变化机制探讨

中全新世是地质历史上最近的温暖时期。文章利用包含较详细陆面过程的区域气候模式,通过分别加入现代植被和根据花粉化石资料转化的东亚地区古植被,模拟了6kaB.P.东亚季风气候,并研究了植被变化对东亚气候的影响。由区域气候模拟得到的较高分辨率的气候演变图像表明6kaB.P.太阳辐射季节循环增大,高纬度地区积雪、海冰减少,极地海洋升温,导致冬季大陆冷高压减弱,使中国冬季温度降低幅度大大减小。模拟中加入恢复的古植被造成地表反照率减小,使得冬季进一步升温,这不但突破了PMIP众多模拟的东亚6kaB.P.冬季降温的局限,而且使模拟温度变化的季节特征与古地质资料更为吻合。中全新世东亚大陆全年升温导致东亚夏季风强盛、冬季风减弱;降水及有效降水增加,降水带向西、向北扩张。与PMIP模拟相比,由于模式分辨率的提高,该工作模拟出了中国东部区域性降水增加的特征并得到了较为精细的气候变化空间分布。     

寒区灌丛与积雪关系研究进展

在气候变化的背景下, 寒区灌丛与积雪的相互关系成为寒区水文循环研究的重要环节. 综述近几十年来寒区灌丛-积雪相互关系的国内外研究现状, 并对未来研究提出了展望. 寒区灌丛过去几十年来覆盖面积和生物量等呈现增加趋势, 灌丛的增加可截留积雪, 改变积雪重分布, 影响积雪消融过程; 积雪可增加灌丛区地温, 制约灌丛区融雪时空变化过程, 影响寒区灌丛的生理生态过程. 灌丛与积雪同为寒区自然生态系统和环境的重要组成部分, 二者相互作用使地面太阳辐射和地表水分分配过程复杂化, 从而间接地影响寒区冻土环境变化. 最后, 指出了未来研究需要重点关注的几个问题: 寒区灌丛区积雪分布的精确估计; 灌丛-积雪-冻土连续体的研究; 耦合灌丛-积雪作用的寒区水文模型的构建.     

基于多源数据的西藏地区积雪变化趋势分析

利用1980—2009年气象台站的观测数据、 北半球NOAA周积雪产品和2001—2010年500 m分辨率的EOS/MODIS积雪产品等多源资料, 从不同角度对近30 a来西藏区域积雪变化趋势进行了分析. 结果表明: 不同资料分析均显示, 近30 a来西藏地区积雪不断减少, 尤其以近些年较为明显. 近30 a积雪日数、 最大积雪深度总体上呈现下降趋势, 尤其是进入21世纪以来, 下降趋势非常明显. 从秋冬春季节的积雪变化趋势来看, 冬、 春两季的积雪在减少, 而秋季在增多, 这些变化趋势都与各季节的气温和降水密切相关. NOAA资料显示, 近30 a来西藏地区的积雪覆盖面积正在逐步减少; 季节变化略有不同, 春、 秋两季略呈上升趋势, 冬、 夏两季在减少, 且夏季减少趋势较明显. MODIS资料分析表明, 近10 a来西藏地区的积雪总体呈下降趋势, 尤其是2007年下半年开始下降明显. 秋季的积雪在增加, 冬、 春、 夏三季的积雪趋于减少, 且春季的下降趋势最明显, 其次为冬季, 夏季的减少幅度最小. 不同海拔的积雪都有减少趋势, 最明显的是海拔4 000~5 000 m的积雪, 其次是海拔5 000~6 000 m段. 按地理区域分析, 近10 a来西藏东、 西、 中3个区域的积雪都呈减少趋势, 其中西部的下降趋势最明显, 其次为中部, 东部相对较稳定.     

Impact of global warming on cyclonic disturbances over south Asian region

A state-of-the-art regional climate modelling system, known as PRECIS (Providing REgional Climates for Impacts Studies) developed by the Hadley Centre for Climate Prediction and Research, UK is applied over the Indian domain to investigate the impact of global warming on the cyclonic disturbances such as depressions and storms. The PRECIS simulations at 50 × 50 km horizontal resolution are made for two time slices, present (1961–1990) and the future (2071–2100), for two socioeconomic scenarios A2 and B2. The model simulations under the scenarios of increasing greenhouse gas concentrations and sulphate aerosols are analysed to study the likely changes in the frequency, intensity and the tracks of cyclonic disturbances forming over north Indian Ocean (Bay of Bengal and Arabian Sea) and the Indian landmass during monsoon season. The model overestimates the frequency of cyclonic disturbances over the Indian subcontinent in baseline simulations (1961–1990). The change is evaluated towards the end of present century (2071–2100) with respect to the baseline climate. The present study indicates that the storm tracks simulated by the model are southwards as compared to the observed tracks during the monsoon season, especially for the two main monsoon months, viz., July and August. The analysis suggests that the frequency of cyclonic disturbances forming over north Indian Ocean is likely to reduce by 9% towards the end of the present century in response to the global warming. However, the intensity of cyclonic disturbances is likely to increase by about 11% compared to the present.     

About the observed and future changes in temperature extremes over India

An attempt is made in the present study to analyse observed and model simulated temperature extremes over Indian region. Daily maximum and minimum temperature data at 121 well-distributed stations for the period 1970–2003 have been used to study the observed changes in objectively defined values of temperature extremes. In addition, an assessment of future scenarios of temperature extremes associated with increase in the concentration of atmospheric greenhouse gases is done using simulations of a state-of-the-art regional climate modelling system known as PRECIS (Providing Regional Climate for Impact Studies) performed to generate the climate for the present (1961–1990) and future projections for the period 2071–2100. Observational analysis done with 121 stations suggests the widespread warming through increase in intensity and frequency of hot events and also with decrease in frequency of cold events. More than 75% stations show decreasing trend in number of cold events and about 70% stations show increasing trend in hot events. Percentage of stations towards the warming through intensity indices of highest maximum temperature, lowest minimum temperature is 78 and 71% stations, respectively. Remaining stations show opposite trends, however, most of them are statistically insignificant. Observational analysis for India as a whole also shows similar results. Composite anomalies for monthly temperature extremes over two equal parts of the data period show increase (decrease) in the frequency of hot (cold) events for all months. In general, PRECIS simulations under both A2 and B2 scenarios indicate increase (decrease) in hot (cold) extremes towards the end of twenty-first century. Both show similar patterns, but the B2 scenario shows slightly lower magnitudes of the projected changes. Temperatures are likely to increase in entire calendar year, but the changes in winter season are expected to be prominent. Diurnal temperature range is expected to decrease in winter (JF) and pre-monsoon (MAM) months.     

Snowmelt runoff prediction under changing climate in the Himalayan cryosphere: A case of Gilgit River Basin

There are serious concerns of rise in temperatures over snowy and glacierized Himalayan region that may eventually affect future river flows of Indus river system. It is therefore necessary to predict snow and glacier melt runoff to manage future water resource of Upper Indus Basin(UIB). The snowmelt runoff model(SRM) coupled with MODIS remote sensing data was employed in this study to predict daily discharges of Gilgit River in the Karakoram Range. The SRM was calibrated successfully and then simulation was made over four years i.e. 2007, 2008, 2009 and 2010 achieving coefficient of model efficiency of 0.96, 0.86, 0.9 and 0.94 respectively. The scenarios of precipitation and mean temperature developed from regional climate model PRECIS were used in SRM model to predict future flows of Gilgit River. The increase of 3 C in mean annual temperature by the end of 21 th century may result in increase of 35-40% in Gilgit River flows. The expected increase in the surface runoff from the snow and glacier melt demands better water conservation and management for irrigation and hydel-power generation in the Indus basin in future.