新疆哈密地区早泥盆世珊瑚动物群及其地质意义

新疆哈密地区下泥盆统发育,南部图拉尔根地区下泥盆统为大南湖组,北部三道白杨沟地区为卓木巴斯套组。在大南湖组中共发现四射珊瑚2属5种,床板珊瑚7属12种,并建立四射珊瑚组合Syringaxon moriense和床板珊瑚组合Pseudofavosites giganteus;在卓木巴斯套组共发现四射珊瑚5属7种,床板珊瑚2属2种,并建立四射珊瑚组合Orthopaterophyllum junggarense和床板珊瑚组合Pachyfavosites junggarensis。通过珊瑚在地层中的分布及组合的时代对比,确定前者的时代为早泥盆世埃姆斯期早期,后者的时代为埃姆斯期中晚期。通过与国内外典型的早泥盆世埃姆斯期珊瑚动物群的对比,认为哈密地区的珊瑚动物具有典型的早泥盆世温带动物群特征,在生物古地理区系上属于北方大区准噶尔-兴安省。     

基于CMIP5的东亚地区降雪量变化特征分析

利用JMA的JRA-55降雪量及CMIP5的6个模式模拟的降雪量资料, 分析了东亚地区降雪量年变化特征及年际变化特征. 结果表明: 东亚地区降雪量在1958-2004年期间具有明显的年际变化特征及区域分布特征; 降雪主要集中在11月至翌年的4月, 这6个月中降雪量占年总降雪量的82%; 年际变化特征呈现出一种波动变化略有增加的趋势, 但是增加的幅度有所不同. 从区域分布特征来看, 东亚地区降雪主要分布在东北亚、青藏高原及新疆等3个区域. CMIP5的6个模式对东亚区域及其子区域东北亚、青藏高原、新疆1850-2004年降雪量年际变化特征的模拟差异较大. 多模式集合预报的结果表现为, 在过去155 a(1850-2004年)东亚区域降雪量呈现明显减小趋势, 东北亚和青藏高原降雪量为波动略有减小趋势, 新疆降雪量为明显增加趋势.     

Dataset of Comparative Observations for Land Surface Processes over the Semi-Arid Alpine Grassland against Alpine Lakes in the Source Region of the Yellow River

Thousands of lakes on the Tibetan Plateau(TP) play a critical role in the regional water cycle, weather, and climate. In recent years, the areas of TP lakes underwent drastic changes and have become a research hotspot. However, the characteristics of the lake-atmosphere interaction over the high-altitude lakes are still unclear, which inhibits model development and the accurate simulation of lake climate effects. The source region of the Yellow River(SRYR) has the largest outflow lake and freshw...     

Simulating the role of gravel in freeze–thaw process on the Qinghai–Tibet Plateau

Soils containing gravel (particle size ≥2 mm) are widely distributed over the Qinghai–Tibet Plateau (QTP). Soil mixed with gravel has different thermal and hydrological properties compared with fine soil (particle size <2 mm) and thus has marked impacts on soil water and heat transfer. However, the most commonly used land models do not consider the effects of gravel. This paper reports the development of a new scheme that simulates the thermal and hydrological processes in soil containing gravel and its application in the QTP. The new scheme was implemented in version 4 of the Community Land Model, and experiments were conducted for two typical sites in the QTP. The results showed that (1) soil with gravel tends to reduce the water holding capacity and enhance the hydraulic conductivity and drainage; (2) the thermal conductivity increases with soil gravel content, and the response of the temperature of soil mixed with gravel to air temperature change is rapid; (3) the new scheme performs well in simulating the soil temperature and moisture—the mean biases of soil moisture between the simulation and observation reduced by 25–48 %, and the mean biases of soil temperature reduced by 9–25 %. Therefore, this scheme can successfully simulate the thermal and hydrological processes in soil with different levels of gravel content and is potentially applicable in land surface models.

     

Annual variations in the surface radiation budget and soil water and heat content in the Upper Yellow River area

Measurements taken between July 2006 to May 2007 at the Maqu station in the Upper Yellow River area were used to study the surface radiation budget and soil water and heat content in this area. These data revealed distinct seasonal variations in downward shortwave radiation, downward longwave radiation, upward longwave radiation and net radiation, with larger values in the summer than in winter because of solar altitudinal angle. The upward shortwave radiation factor is not obvious because of albedo (or snow). Surface albedo in the summer was lower than in the winter and was directly associated with soil moisture and solar altitudinal angle. The annual averaged albedo was 0.26. Soil heat flux, soil temperature and soil water content changed substantially with time and depth. The soil temperature gradient was positive from August to February and was related to the surface net radiation and the heat condition of the soil itself. There was a negative correlation between soil temperature gradient and net radiation, and the correlation coefficient achieved a significance level of 0.01. Because of frozen state of the soil, the maximum soil thermal conductivity value was 1.21 W m⁻¹°C⁻¹ in January 2007. In May 2007, soil thermal conductivity was 0.23 W m⁻¹°C⁻¹, which is the lowest value measured in the study, likely due to the fact that the soil was drier then than in other months. The soil thermal conductivity values for the four seasons were 0.27, 0.38, 0.55 and 0.83 W m⁻¹°C⁻¹, respectively.     

Modeling the effects of changes in air temperature and precipitation on heterotrophic respiration in the central Tibetan Plateau

Theoretical and Applied Climatology - The performance of the operational extended-range forecast (ERF) issued by IMD is evaluated for the southwest monsoon 2020. The normal onset of monsoon over...     

黄河上游玛曲草原湍流统计特征分析

湍流运动是大气最基本的运动特征,是大气能量物质交换的主要方式。利用玛曲气候与环境综合观测研究站2006年12月至2007年1月的湍流观测资料,分析了湍流方差特征、湍流动能及湍流强度等湍流统计特征,结果表明:无量纲化的风速脉动σu/u*,σv/u*,σw/u*与稳定度z/L符合1/3次方规律;大气处于中性层结时,在近中性条件下,无量纲化风速方差σu/u*,σv/u*,σw/u*分别趋于常数A=3.42,B=3.34,C=1.02;无因次化温度脉动方差σT/|T*|和湿度脉动方差σq/|q*|与稳定度z/L的变化都比较离散,基本上不能拟合出-1/3次方规律。湍流动能随风速增大而增大,白天比夜间明显,相比之下,夜间湍流动能较小,且随风速的增大比较缓慢;湍流动能随稳定的变化是非常明显的,在稳定度近中性时湍流动能取得最大值。湍流强度Iu,Iv,Iw随风速的增大而减小,当风速在0 m/s5 m/s时,湍流强度变化很小。     

Evaluation of CMIP5 Earth System Models in Reproducing Leaf Area Index and Vegetation Cover over the Tibetan Plateau

The abilities of 12 earth system models (ESMs) from the Coupled Model Intercomparison Project Phase5 (CMIP5) to reproduce satellite-derived vegetation biological variables over the Tibetan Plateau (TP) were examined. The results show that most of the models tend to overestimate the observed leaf area index (LAI) and vegetation carbon above the ground, with the possible reasons being overestimation of photosynthesis and precipitation. The model simulations show a consistent increasing trend with observed LAI over most of the TP during the reference period of 1986-2005, while they fail to reproduce the downward trend around the headstream of the Yellow River shown in the observation due to their coarse resolutions. Three of the models: CCSM4, CESM1-BGC, and NorESM1-ME, which share the same vegetation model, show some common strengths and weaknesses in their simulations according to our analysis. The model ensemble indicates a reasonable spatial distribution but overestimated land coverage, with a significant decreasing trend (-1.48% per decade) for tree coverage and a slight increasing trend (0.58% per decade) for bare ground during the period 1950-2005. No significant sign of variation is found for grass. To quantify the relative performance of the models in representing the observed mean state, seasonal cycle, and interannual variability, a model ranking method was performed with respect to simulated LAI. INMCM4, bcc-csm-1.1m, MPI-ESM-LR, IPSL CM5A-LR, HadGEM2-ES, and CCSM4 were ranked as the best six models in reproducing vegetation dynamics among the 12 models.