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| 1 | Estimation of Turbulent Fluxes Using the Flux-Variance Method over an Alpine Meadow Surface in the Eastern Tibetan Plateau显示文摘流动变化类似关系和数量的垂直转移在表面的不同类型上展出不同,导致在估计用流动变化方法的狂暴的流动的数量之中的相对运输效率的不同 parameterization 途径。我们调查了在雨季期间在中间的水文学条件下面在夏天在东方西藏的高原在一块开、同类、扁平的草地上使用 eddycovariance 大小的这些问题。处于不稳定的条件,温度,水蒸汽,和 CO2 跟随了流动变化类似关系,但是没出现在精确一样的方法由于不同角色(活跃或被动) 这些数量。温度,水蒸汽和 CO2 的类似常数被发现分别地是 1.12, 1.19 和 1.17。热交通比水蒸汽和 CO2 更有效。基于估计的理智的热流动,到水蒸汽和 CO2 的热的相对运输效率的五个 parameterization 方法被检验估计潜伏的热和 CO2 流动。流动变化类似关系的本地决心的策略为潜伏的热和 CO2 流动的评价被推荐。这条途径对代表平均相对运输效率更好,并且对技术上更容易适用,与另外的更复杂的相比。 | WANG Shaoying ZHANG Yu LU Shihua LIU Heping SHANG Lunyu | 2013 | Advances in Atmospheric Sciences2013，30，2： | 11 |
| 2 | Radiation balance and the response of albedo to environmental factors above two alpine ecosystems in the eastern Tibetan Plateau显示文摘Understanding the energy balance on the Tibetan Plateau is important for better prediction of global climate change. To characterize the energy balance on the Plateau, we examined the radiation balance and the response of albedo to environmental factors above an alpine meadow and an alpine wetland surfaces in the eastern Tibetan Plateau, using 2014 data. Although our two sites belong to the same climatic background, and are close geographically, the annual incident solar radiation at the alpine meadow site(6,447 MJ/(m2·a)) was about 1.1 times that at the alpine wetland site(6,012 MJ/(m2·a)),due to differences in the cloudiness between our two sites. The alpine meadow and the alpine wetland emitted about 38%and 42%, respectively, of annual incident solar radiation back into atmosphere in the form of net longwave radiation; and they reflected about 22% and 18%, respectively, of the annual incident solar radiation back into atmosphere in the form of shortwave radiation. The annual net radiation was 2,648 and 2,544 MJ/(m2·a) for the alpine meadow site and the alpine wetland site, respectively, accounting for only about 40% of the annual incident solar radiation, significantly lower than the global mean. At 30-min scales, surface albedo exponentially decreases with the increase of the solar elevation angle; and it linearly decreases with the increase of soil-water content for our two sites. But those relationships are significantly influenced by cloudiness and are site-specific. | ShaoYing Wang Yu Zhang ShiHua Lyu LunYu Shang YouQi Su HanHui Zhu | 2017 | Research in Cold and Arid Regions2017，9，2： | 2 |
| 3 | An improvement of soil temperature simulations on the Tibetan Plateau显示文摘The simulation of soil temperature on the Tibetan Plateau(TP) plays a dominant role in the performance of both global climate and numerical weather forecast models. To improve the simulation of soil temperature on the TP, the Johansen soil thermal conductivity parameterization scheme was introduced into Community Land Model 3.5(CLM3.5) and Regional Climatic Model 4(Reg CM4). The improved CLM3.5 and Reg CM4-CLM were utilized to conduct offline and regional simulation experiments on the TP. Comparison of the new and old schemes revealed that CLM3.5 provides high thermal conductivity parameters of mineral soil solid on the TP. The Johansen scheme is more practical for the TP than the soil thermal conductivity parameterization in CLM3.5. The simulation of soil temperature and liquid water content was improved in offline experiment. The improved parameterization scheme can also reduce the simulation error of soil temperature in winter throughout the entire TP. | SiQiong Luo BoLi Chen ShiHua Lyu XueWei Fang JingYuan Wang XianHong Meng LunYu Shang ShaoYing Wang Di Ma | 2018 | Research in Cold and Arid Regions2018，10，1： | 2 |
| 4 | 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显示文摘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 freshwater lake on the TP and is one of the most densely distributed lakes on the TP. Since 2011,three observation sites have been set up in the Ngoring Lake basin in the SRYR to monitor the lake-atmosphere interaction and the differences among water-heat exchanges over the land and lake surfaces. This study presents an eight-year(2012–19), half-hourly, observation-based dataset related to lake–atmosphere interactions composed of three sites. The three sites represent the lake surface, the lakeside, and the land. The observations contain the basic meteorological elements,surface radiation, eddy covariance system, soil temperature, and moisture(for land). Information related to the sites and instruments, the continuity and completeness of data, and the differences among the observational results at different sites are described in this study. These data have been used in the previous study to reveal a few energy and water exchange characteristics of TP lakes and to validate and improve the lake and land surface model. The dataset is available at National Cryosphere Desert Data Center and Science Data Bank. | Xianhong MENG Shihua LYU Zhaoguo LI Yinhuan AO Lijuan WEN Lunyu SHANG Shaoying WANG Mingshan DENG Shaobo ZHANG Lin ZHAO Hao CHEN Di MA Suosuo LI Lele SHU Yingying AN Hanlin NIU | 2023 | Advances in Atmospheric Sciences2023，40，6： | 0 |
| 5 | Bayesian-combined wavelet regressive modeling for hydrologic time series forecasting显示文摘Wavelet regression(WR)models are used commonly for hydrologic time series forecasting,but they could not consider uncertainty evaluation.In this paper the AM-MCMC(adaptive Metropolis-Markov chain Monte Carlo)algorithm was employed to wavelet regressive modeling processes,and a model called AM-MCMC-WR was proposed for hydrologic time series forecasting.The AM-MCMC algorithm is used to estimate parameters’uncertainty in WR model,based on which probabilistic forecasting of hydrologic time series can be done.Results of two runoff data at the Huaihe River watershed indicate the identical performances of AM-MCMC-WR and WR models in gaining optimal forecasting result,but they perform better than linear regression models.Differing from the WR model,probabilistic forecasting results can be gained by the proposed model,and uncertainty can be described using proper credible interval.In summary,parameters in WR models generally follow normal probability distribution;series’correlation characters determine the optimal parameters values,and further determine the uncertain degrees and sensitivities of parameters;more uncertain parameters would lead to more uncertain forecasting results and hard predictability of hydrologic time series. | SANG YanFang SHANG LunYu WANG ZhongGen LIU ChangMing YANG ManGen | 2013 | Chinese Science Bulletin2013，58，31： | 0 |
| 6 | Winter estimation of surface roughness length over eastern Qinghai-Tibetan Plateau显示文摘Based on the Monin-Obukhov similarity theory, a scheme was developed to calculate surface roughness length. Surface roughness length over the eastern Qinghai-Tibetan Plateau during the winter season was then estimated using the scheme and eddy covariance measurement data. Comparisons of estimated and measured wind speeds show that the scheme is feasible to calculate surface roughness length. The estimated roughness lengths at the measurement site during unfrozen,frozen and melted periods are 3.23×10-3, 2.27×10-3 and 1.92×10-3 m, respectively. Surface roughness length demonstrates a deceasing trend with time during the winter season. Thereby, setting the roughness length to be a constant value in numerical models could lead to certain degree of simulation errors. The variation of surface roughness length may be caused by the change in land surface characteristic. | LunYu Shang Yu Zhang ShiHua Lyu ShaoYing Wang YinHuan Ao SiQiong Luo ShiQiang Chen | 2017 | Research in Cold and Arid Regions2017，9，2： | 0 |
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