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| 1 | China land soil moisture EnKF data assimilation based on satellite remote sensing data显示文摘Soil moisture plays an important role in land-atmosphere interactions. It is an important geophysical parameter in research on climate, hydrology, agriculture, and forestry. Soil moisture has important climatic effects by influencing ground evapotranspi ration, runoff, surface reflectivity, surface emissivity, surface sensible heat and latent heat flux. At the global scale, the extent of its influence on the atmosphere is second only to that of sea surface temperature. At the terrestrial scale, its influence is even greater than that of sea surface temperatures. This paper presents a China Land Soil Moisture Data Assimilation System (CLSMDAS) based on EnKF and land process models, and results of the application of this system in the China Land Soil Moisture Data Assimilation tests. CLSMDAS is comprised of the following components: 1) A land process mo del—Community Land Model Version 3.0 (CLM3.0)—developed by the US National Center for Atmospheric Research (NCAR); 2) Precipitation of atmospheric forcing data and surface-incident solar radiation data come from hourly outputs of the FY2 geostationary meteorological satellite; 3) EnKF (Ensemble Kalman Filter) land data assimilation method; and 4) Observa tion data including satellite-inverted soil moisture outputs of the AMSR-E satellite and soil moisture observation data. Results of soil moisture assimilation tests from June to September 2006 were analyzed with CLSMDAS. Both simulation and assimila tion results of the land model reflected reasonably the temporal-spatial distribution of soil moisture. The assimilated soil mois ture distribution matches very well with severe summer droughts in Chongqing and Sichuan Province in August 2006, the worst since the foundation of the People’s Republic of China in 1949. It also matches drought regions that occurred in eastern Hubei and southern Guangxi in September. | SHI ChunXiang XIE ZhengHui QIAN Hui LIANG MiaoLing YANG XiaoChun | 2011 | Science China Earth Sciences2011，54，9： | 62 |
| 2 | Comparison of the Global Energy Cycle between Chinese Reanalysis Interim and ECMWF Reanalysis显示文摘The global energy cycle is a diagnostic metric widely used to gauge the quality of datasets. In this paper, the 'Mixed Space-Time Domain' method for diagnosis of energy cycle is evaluated by using newly developed datasets-the Chinese Reanalysis Interim (CRAI) and ECMWF Reanalysis version 5 (ERA5), over a 7-yr period (2010-16) on seasonal and monthly timescales. The results show that the energy components calculated from the two reanalysis datasets are highly consistent;however, some components in the global energy integral from CRAI are slightly larger than those from ERA5. The main discrepancy in the energy components stems from the conversion of baroclinic process, whereas the dominant difference originates from the conversion from stationary eddy available potential energy to stationary eddy kinetic energy (CES), which is caused by systematic differences in the temperature and vertical velocity in low-mid latitudes of the Northern Hemisphere and near the Antarctic, where there exist complex terrains. Furthermore, the monthly analysis reveals that the general discrepancy in the temporal variation between the two datasets also lie mainly in the CES as well as corresponding generation and dissipation rates. | Bin ZHAO Bo ZHANG Chunxiang SHI Jingwei LIU Lipeng JIANG | 2019 | Journal of Meteorological Research2019，33，3： | 14 |
| 3 | A soil moisture assimilation scheme based on the ensemble Kalman filter using microwave brightness temperature显示文摘This study presents a soil moisture assimilation scheme, which could assimilate microwave brightness temperature directly, based on the ensemble Kalman filter and the shuffled complex evolution method (SCE-UA). It uses the soil water model of the land surface model CLM3.0 as the forecast operator, and a radiative transfer model (RTM) as the observation operator in the assimilation system. The assimilation scheme is implemented in two phases: the parameter calibration phase and the pure soil moisture assimilation phase. The vegetation optical thickness and surface roughness parameters in the RTM are calibrated by SCE-UA method and the optimal parameters are used as the final model parameters of the observation operator in the assimilation phase. The ideal experiments with synthetic data indicate that this scheme could significantly improve the simulation of soil moisture at the surface layer. Further- more, the estimation of soil moisture in the deeper layers could also be improved to a certain extent. The real assimilation experiments with AMSR-E brightness temperature at 10.65 GHz (vertical polariza- tion) show that the root mean square error (RMSE) of soil moisture in the top layer (0―10 cm) by as- similation is 0.03355 m3·m-3, which is reduced by 33.6% compared with that by simulation (0.05052 m3·m-3). The mean RMSE by assimilation for the deeper layers (10―50 cm) is also reduced by 20.9%. All these experiments demonstrate the reasonability of the assimilation scheme developed in this study. | BingHao Jia ZhengHui Xie XiangJun Tian ChunXiang Shi | 2009 | Science China Earth Sciences2009，52，11： | 10 |
| 4 | Regional and Global Land Data Assimilation Systems: Innovations,Challenges, and Prospects显示文摘Since the North American and Global Land Data Assimilation Systems(NLDAS and GLDAS) were established in2004, significant progress has been made in development of regional and global LDASs. National, regional, projectbased, and global LDASs are widely developed across the world. This paper summarizes and overviews the development, current status, applications, challenges, and future prospects of these LDASs. We first introduce various regional and global LDASs including their development history and innovations, and then discuss the evaluation, validation, and applications(from numerical model prediction to water resources management) of these LDASs. More importantly, we document in detail some specific challenges that the LDASs are facing: quality of the in-situ observations, satellite retrievals, reanalysis data, surface meteorological forcing data, and soil and vegetation databases; land surface model physical process treatment and parameter calibration; land data assimilation difficulties; and spatial scale incompatibility problems. Finally, some prospects such as the use of land information system software, the unified global LDAS system with nesting concept and hyper-resolution, and uncertainty estimates for model structure,parameters, and forcing are discussed. | Youlong XIA Zengchao HAO Chunxiang SHI Yaohui LI Jesse MENG Tongren XU Xinying WU Baoqing ZHANG | 2019 | Journal of Meteorological Research2019，33，2： | 7 |
| 5 | Applicability Assessment of the 1998–2018 CLDAS Multi-Source Precipitation Fusion Dataset over China显示文摘Traditional hourly rain gauges and automatic weather stations rarely measure solid precipitation, except for those stations with weighing-type precipitation sensors. Microwave remote sensing has only a low ability to retrieve solid precipitation. In addition, there are no long-term, high-quality precipitation data in China that can be used to drive land surface models. To address these issues, in the China Meteorological Administration(CMA) Land Data Assimilation System(CLDAS), we blended the Climate Prediction Center(CPC) morphing technique(CMORPH) and Modern-Era Retrospective analysis for Research and Applications version 2(MERRA2) precipitation datasets with observed temperature and precipitation data on various temporal scales using multigrid variational analysis and temporal downscaling to produce a multi-source precipitation fusion dataset for China(CLDAS-Prcp). This dataset covers all of China at a resolution of 6.25 km at hourly intervals from 1998 to 2018. We performed dependent and independent evaluations of the CLDAS-Prcp dataset from the perspectives of seasonal total precipitation and land surface model simulation. Our results show that the CLDAS-Prcp dataset represents reasonably the spatial distribution of precipitation in China. The dependent evaluation indicates that the CLDAS-Prcp performs better than the MERRA2 precipitation, CMORPH precipitation, Global Land Data Assimilation System version 2(GLDAS-V2.1) precipitation,and CLDAS-V2.0 winter precipitation, as compared to the meteorological observational precipitation. The independent evaluation indicates that the CLDAS-Prcp dataset performs better than the Global Precipitation Measurement(GPM) precipitation dataset and is similar to the CLDAS-V2.0 summer precipitation dataset based on the hydrological observational precipitation. The simulated soil moisture content driven by CLDAS-Prcp is slightly better than that driven by the CLDAS-V2.0 precipitation, whereas the snow depth simulation driven by CLDAS-Prcp is much better than that driven by the CLDAS-V2.0 precipitation. This is because the CLDAS-Prcp data have included solid precipitation. Overall, the CLDAS-Prcp dataset can meet the needs of land surface and hydrological modeling studies. | Shuai SUN Chunxiang SHI Yang PAN Lei BAI Bin XU Tao ZHANG Shuai HAN Lipeng JIANG | 2020 | Journal of Meteorological Research2020，34，4： | 7 |
| 6 | Synergistic graphene/aluminum surface plasmon coupling for zinc oxide lasing improvement显示文摘免费电子的集体摆动在材料的表面上产生电浆子。耳语画廊 microcavity 有效地从它的内部墙基于全部的思考在它的表面上限制轻地。当这些二种电磁波遇见对方时,多于在耳语画廊 microcavity 与 graphene 和艾尔 nanoparticles 的单层是涂的以后, 50 褶层和阀值被减少,从单个 ZnO microrod 的刺激排出物被提高。放射激光的表演的改进被归因于与 ZnO 激子 graphene/Al 表面电浆子联合的 synergistic 精力。放射激光的特征和联合机制系统地被调查。 | Qiuxiang Zhu Feifei Qin Junfeng Lu Zhu Zhu Haiyan Nan Zengliang Shi Zhenhua Ni Chunxiang Xu | 2017 | Nano Research2017，10，6： | 6 |
| 7 | Ensemble Simulation of Land Evapotranspiration in China Based on a Multi-Forcing and Multi-Model Approach显示文摘In order to reduce the uncertainty of offline land surface model(LSM) simulations of land evapotranspiration(ET), we used ensemble simulations based on three meteorological forcing datasets [Princeton, ITPCAS(Institute of Tibetan Plateau Research, Chinese Academy of Sciences), Qian] and four LSMs(BATS, VIC, CLM3.0 and CLM3.5), to explore the trends and spatiotemporal characteristics of ET, as well as the spatiotemporal pattern of ET in response to climate factors over China's Mainland during 1982–2007. The results showed that various simulations of each member and their arithmetic mean(Ens Mean) could capture the spatial distribution and seasonal pattern of ET sufficiently well, where they exhibited more significant spatial and seasonal variation in the ET compared with observation-based ET estimates(Obs MTE). For the mean annual ET, we found that the BATS forced by Princeton forcing overestimated the annual mean ET compared with Obs MTE for most of the basins in China, whereas the VIC forced by Princeton forcing showed underestimations. By contrast, the Ens Mean was closer to Obs MTE, although the results were underestimated over Southeast China. Furthermore, both the Obs MTE and Ens Mean exhibited a significant increasing trend during 1982–98; whereas after 1998, when the last big EI Ni ?no event occurred, the Ens Mean tended to decrease significantly between 1999 and 2007, although the change was not significant for Obs MTE. Changes in air temperature and shortwave radiation played key roles in the long-term variation in ET over the humid area of China, but precipitation mainly controlled the long-term variation in ET in arid and semi-arid areas of China. | Jianguo LIU Binghao JIA Zhenghui XIE Chunxiang SHI | 2016 | Advances in Atmospheric Sciences2016，33，6： | 6 |
| 8 | A New Temperature Channel Selection Method Based on Singular Spectrum Analysis for Retrieving Atmospheric Temperature Profiles from FY-4A/GIIRS显示文摘Hyperspectral data have important research and application value in the fields of meteorology and remote sensing.With the goal of improving retrievals of atmospheric temperature profiles,this paper outlines a novel temperature channel selection method based on singular spectrum analysis(SSA)for the Geostationary Interferometric Infrared Sounder(GIIRS),which is the first infrared sounder operating in geostationary orbit.The method possesses not only the simplicity and rapidity of the principal component analysis method,but also the interpretability of the conventional channel selection method.The novel SSA method is used to decompose the GIIRS observed infrared brightness temperature spectrum(700-1130 cm-1),and the reconstructed grouped components can be obtained to reflect the energy variations in the temperature-sensitive waveband of the respective sequence.At 700-780 cm-1,the channels selected using our method perform better than IASI(Infrared Atmospheric Sounding Interferometer)and Cr IS(Cross-track Infrared Sounder)temperature channels when used as inputs to the neural network retrieval model. | Peipei YU Chunxiang SHI Ling YANG Shuai SHAN | 2020 | Advances in Atmospheric Sciences2020，37，7： | 5 |
| 9 | Plasmon enhancement for Vernier coupled single-mode lasing from ZnO/Pt hybrid microcavities显示文摘开发单个模式操作并且改进放射激光以便保证 microlasers 和 nanolasers 的实际适用性的表演是必要的。在这份报纸,有 ZnO microcomb 的改变的 nanoscaled 空气差距的二六角形的 microteeth 被用来构造联合耳语画廊洞。这被做完成没有要求任何复杂或复杂的操作完成与 nanoscale 精确放,基于游标效果放射激光的一个稳定的单个模式。光获得和相应紫外放射激光表演通过结合磅 nanoparticles 的局部性的表面电浆子极大地被改进。ZnO/Pt 混合 microcavities 完成了单个模式与更高的方面模式抑制比率和更低的阀值放射激光的紧张的七倍的改进。导致了这改进的机制详细被描述了。 | Yueyue Wang Feifei Qin Junfeng Lu Jitao Li Zhu Zhu Qiuxiang Zhu Ye Zhu Zengliang Shi Chunxiang Xu | 2017 | Nano Research2017，10，10： | 5 |
| 10 | The Tibetan Plateau Surface–Atmosphere Coupling System and Its Weather and Climate Effects: The Third Tibetan Plateau Atmospheric Science Experiment显示文摘The Tibetan Plateau(TP) is a key area affecting forecasts of weather and climate in China and occurrences of extreme weather and climate events over the world. The China Meteorological Administration, the National Natural Science Foundation of China, and the Chinese Academy of Sciences jointly initiated the Third Tibetan Plateau Atmospheric Science Experiment(TIPEX-Ⅲ) in 2013, with an 8–10-yr implementation plan. Since its preliminary field measurements conducted in 2013, routine automatic sounding systems have been deployed at Shiquanhe, Gaize, and Shenzha stations in western TP, where no routine sounding observations were available previously. The observational networks for soil temperature and soil moisture in the central and western TP have also been established. Meanwhile, the plateau-scale and regional-scale boundary layer observations, cloud–precipitation microphysical observations with multiple radars and aircraft campaigns, and tropospheric–stratospheric air composition observations at multiple sites, were performed. The results so far show that the turbulent heat exchange coefficient and sensible heat flux are remarkably lower than the earlier estimations at grassland, meadow, and bare soil surfaces of the central and western TP. Climatologically, cumulus clouds over the main body of the TP might develop locally instead of originating from the cumulus clouds that propagate northward from South Asia. The TIPEX-Ⅲ observations up to now also reveal diurnal variations, macro-and microphysical characteristics, and water-phase transition mechanisms, of cumulus clouds at Naqu station. Moreover, TIPEX-Ⅲ related studies have proposed a maintenance mechanism responsible for the Asian 'atmospheric water tower' and demonstrated the effects of the TP heating anomalies on African, Asian, and North American climates. Additionally, numerical modeling studies show that the Γ distribution of raindrop size is more suitable for depicting the TP raindrop characteristics compared to the M–P distribution, the overestimation of sensible heat flux can be reduced via modifying the heat transfer parameterization over the TP, and considering climatic signals in some key areas of the TP can improve the skill for rainfall forecast in the central and eastern parts of China. Furthermore, the TIPEX-Ⅲ has been promoting the technology in processing surface observations, soundings, and radar observations, improving the quality of satellite retrieved soil moisture and atmospheric water vapor content products as well as high-resolution gauge–radar–satellite merged rainfall products, and facilitating the meteorological monitoring, forecasting, and data sharing operations. | Ping ZHAO Yueqing LI Xueliang GUO Xiangde XU Yimin LIU Shihao TANG Wenming XIAO Chunxiang SHI Yaoming MA Xing YU Huizhi LIU La JIA Yun CHEN Yanju LIU Jian LI Dabiao LUO Yunchang CAO Xiangdong ZHENG Junming CHEN An XIAO Fang YUAN Donghui CHEN Yang PANG Zhiqun HU Shengjun ZHANG Lixin DONG Juyang HU Shuai HAN Xiuji ZHOU | 2019 | Journal of Meteorological Research2019，33，3： | 4 |
| 11 | Plasmon-enhanced ZnO whispering-gallery mode lasing显示文摘 | Chunxiang Xu Feifei Qin Qiuxiang Zhu Junfeng Lu Yueyue Wang Jitao Li Yi Lin Qiannan Cui Zengliang Shi Arumugam Gowri Manohari | 2018 | Nano Research2018，11，6： | 4 |
| 12 | Evaluation of Surface Relative Humidity in China from the CRA-40 and Current Reanalyses显示文摘Recently,the China Meteorological Administration(CMA)released a new Global Atmospheric Reanalysis(CRA-40)dataset for the period 1979−2018.In this study,surface relative humidity(RH)from CRA-40 and other current reanalyses(e.g.,CFSR,ERA5,ERA-Interim,JRA-55,and MERRA-2)is comprehensively evaluated against homogenized observations over China.The results suggest that most reanalyses overestimate the observations by 15%−30%(absolute difference)over the Tibetan Plateau but underestimate the observations by 5%−10%over most of northern China.The CRA-40 performs relatively well in describing the long-term change and variance seen in the observed surface RH over China.Most of the reanalyses reproduce the observed surface RH climatology and interannual variations well,while few reanalyses can capture the observed long-term RH trends over China.Among these reanalyses,the CFSR does poorly in describing the interannual changes in the observed RH,especially in Southwest China.An empirical orthogonal function(EOF)analysis also suggests that the CRA-40 performs better than other reanalyses to capture the first two leading EOF modes revealed by the observations.The results of this study are expected to improve understanding of the strengths and weaknesses of the current reanalysis products and thus facilitate their application. | Jingpeng ZHANG Tianbao ZHAO Zhi LI Chunxiang LI Zhen LI Kairan YING Chunxiang SHI Lipeng JIANG Wenyu ZHANG | 2021 | Advances in Atmospheric Sciences2021，38，11： | 4 |
| 13 | CRA-40/Atmosphere—The First-Generation Chinese Atmospheric Reanalysis(1979–2018):System Description and Performance Evaluation显示文摘Atmospheric reanalysis reproduces the past atmospheric conditions through assimilation of historical meteorological observations with fixed version of a numerical weather prediction(NWP)model and data assimilation(DA)system.It is widely used in weather,climate,and even business-related research and applications.This paper reports the development of CMA’s first-generation global atmospheric reanalysis(RA)covering 1979–2018(CRA-40;CRA refers to CMA-RA).CRA-40 is produced by using the Global Spectral Model(GSM)/Gridpoint Statistical Interpolation(GSI)at a 6-h time interval and a TL574 spectral(34-km)resolution with the model top at 0.27 hPa.A large number of reprocessed satellite data and widely collected conventional observations were assimilated during the reanalyzing process,including the reprocessed atmospheric motion vector(AMV)products from FY-2C/D/E/G satellites,dense conventional observations(at about 120 radiosonde and 2400 synoptic stations)over China,as well as MWHS-2 and GNSS-RO observations from FY-3C.The reanalysis fitting to observations is improved over time,especially for surface pressure with root-mean-square error reduced from 1.05 hPa in 1979 to 0.8 hPa,and for upper air temperature from 1.65 K in 1979 to 1.35 K,in 2018.The patterns of global analysis increments for temperature,specific humidity,and zonal wind are consistent with the changes in the observing system.Near surface temperature from the model’s 6-h forecast reflects the global warming trend reasonably.The CRA-40 precipitation pattern matches well with those of GPCP and other reanalyses.CRA-40 also successfully captures the QBO and its vertical and temporal development,hemispherical atmospheric circulation change,and moisture transport by the East Asian summer monsoon.CRA is now operationally running in near real time as a climate data assimilation system in CMA. | Zhiquan LIU Lipeng JIANG Chunxiang SHI Tao ZHANG Zijiang ZHOU Jie LIAO Shuang YAO Jingwei LIU Minyan WANG Huiying WANG Xiao LIANG Zhisen ZHANG Yan YAO Ting ZHU Zhe CHEN Wenhui XU Lijuan CAO Hui JIANG Kaixi HU | 2023 | Journal of Meteorological Research2023，37，1： | 4 |
| 14 | Protein phosphatase magnesium-dependent 1δ is a novel tumor marker and target in hepatocellular carcinoma显示文摘Hepatocellular 癌(HCC ) 是世界范围的致命的肝恶意。在这研究,我们报导了那个蛋白质磷酸酶镁依赖者(PPM1D ) 1 高度在 HCC 案例(约 59%) 的多数被表示并且显著地把水平与高浆液 -fetoprotein (法新社) 联系了(P = 0.044 ) 。Kaplan- Meier 和考克斯回归数据显示 PPM1D overexpression 是 HCCspecific 全面幸存的一个独立预言者(HR, 2.799;95% CI, 1.346-5.818, P = 0.006 ) 。, Overexpressing PPM1D 支持了房间生存能力和侵略 RNA 调停干扰 PPM1D 击倒有教养的 HCC 房间的禁止的增长,侵略,和移植。另外,由小介入 RNA 的 PPM1D 抑制减少了在 vivo 的 HCC 房间的 tumorigenicity。总的来说,结果建议 PPM1D 为 HCC 是一个潜在的预示的标记和治疗学的目标。 | Zhi Xu Chunxiang Cao Haiyan Xia Shujing Shi Lingzhi Hong Xiaowei Wei Dongying Gu Jianmin Bian Zijun Liu Wenbin Huang Yixin Zhang Song He Nikki Pui-Yue Lee Jinfei Chen | 2016 | Frontiers of Medicine2016，10，1： | 3 |
| 15 | Genome-wide identification and functional characterization of the MdCLE peptide family in apple(Malus×domestica)显示文摘The CLAVATA3/EMBRYO SURROUNDING REGION-related(CLE)peptides are critical for stem cell homeostasis in plant shoot and root apical meristem.Although CLE genes have been reported in numerous plants,there is limited information for apple.Here,twenty-five MdCLE genes were identified fromapple genome(Apple Genome V1.0 predicted peptides).Analysis of chromosomal location showed that the 25 MdCLE genes were located on 12 of 17 apple chromosomes.Genetic structure analysis showed that 21 of 25 the MdCLE genes were intron-free.Expression patterns showed thatmost of the MdCLE genes showed higher expression levels in leaves and root compared with the other tissues.In addition,expression analysis demonstrated that MdCLE genes had different gene expression patterns for abiotic stress treatment,suggesting their potential roles in acclimation of apple to adverse environments.The 25 MdCLE genes encoded 19 different CLE peptides,and they were divided into two groups depending on their effects on the inhibition of Arabidopsis root growth.Our results suggest that MdCLE genesmay have an important but redundant function in regulating plant growth and development,and this work provides valuable references for further investigation of the biological functions of MdCLE genes. | Tianen Zhang Xiuming Li Qiang Zhao Yan Shi Yujin Hao Chunxiang You | 2022 | Horticultural Plant Journal2022，8，3： | 2 |
| 16 | Increases in Anthropogenic Heat Release from Energy Consumption Lead to More Frequent Extreme Heat Events in Urban Cities显示文摘With economic development and rapid urbanization,increases in Gross Domestic Product and population in fastgrowing cities since the turn of the 21st Century have led to increases in energy consumption.Anthropogenic heat flux released to the near-surface atmosphere has led to changes in urban thermal environments and severe extreme temperature events.To investigate the effects of energy consumption on urban extreme temperature events,including extreme heat and cold events,a dynamic representation scheme of anthropogenic heat release(AHR)was implemented in the Advanced Research version of the Weather Research and Forecasting(WRF)model,and AHR data were developed based on energy consumption and population density in a case study of Beijing,China.Two simulations during 1999−2017 were then conducted using the developed WRF model with 3-km resolution with and without the AHR scheme.It was shown that the mean temperature increased with the increase in AHR,and more frequent extreme heat events were produced,with an annual increase of 0.02−0.19 days,as well as less frequent extreme cold events,with an annual decrease of 0.26−0.56 days,based on seven extreme temperature indices in the city center.AHR increased the sensible heat flux and led to surface energy budget changes,strengthening the dynamic processes in the atmospheric boundary layer that reduce AHR heating efficiency more in summer than in winter.In addition,it was concluded that suitable energy management might help to mitigate the impact of extreme temperature events in different seasons. | Bin LIU Zhenghui XIE Peihua QIN Shuang LIU Ruichao LI Longhuan WANG Yan WANG Binghao JIA Si CHEN Jinbo XIE Chunxiang SHI | 2021 | Advances in Atmospheric Sciences2021，38，3： | 2 |
| 17 | CLDASSD:Reconstructing Fine Textures of the Temperature Field Using Super-Resolution Technology显示文摘Before 2008,the number of surface observation stations in China was small.Thus,the surface observation data were too sparse to effectively support the High-resolution China Meteorological Administration’s Land Assimilation System(HRCLDAS)which ultimately inhibited the output of high-resolution and high-quality gridded products.This paper proposes a statistical downscaling model based on a deep learning algorithm in super-resolution to research the above problem.Specifically,we take temperature as an example.The model is used to downscale the 0.0625°×0.0625°,2-m temperature data from the China Meteorological Administration’s Land Data Assimilation System(CLDAS)to 0.01°×0.01°,named CLDASSD.We performed quality control on the paired data from CLDAS and HRCLDAS,using data from 2018 and 2019.CLDASSD was trained on the data from 31 March 2018 to 28 February 2019,and then tested with the remaining data.Finally,extensive experiments were conducted in the Beijing-Tianjin-Hebei region which features complex and diverse geomorphology.Taking the HRCLDAS product and surface observation data as the'true values'and comparing them with the results of bilinear interpolation,especially in complex terrain such as mountains,the root mean square error(RMSE)of the CLDASSD output can be reduced by approximately 0.1℃,and its structural similarity(SSIM)was approximately 0.2 higher.CLDASSD can estimate detailed textures,in terms of spatial distribution,with greater accuracy than bilinear interpolation and other sub-models and can perform the expected downscaling tasks. | Ruian TIE Chunxiang SHI Gang WAN Xingjie HU Lihua KANG Lingling GE | 2022 | Advances in Atmospheric Sciences2022，39，1： | 2 |
| 18 | Effects of maternal and dietary selenium (Se-enriched yeast) on the expression of Sel P and apoER2 of germ cells of their offspring in goats显示文摘 | Qian Wang Lei Shi Youshe Ren Wenbin Yue Chunxiang Zhang Fulin Lei | 2012 | Animal Reproduction Science (-)2012，，1： | 1 |
| 19 | Improved Assimilation of Fengyun-3 Satellite-Based Snow Cover Fraction in Northeastern China显示文摘Assimilation of snow cover is an important method to improve the accuracy of snow simulation. However, the effects of snow assimilation are poor because satellite observed snow cover data contain erroneous information, such as cloud contamination. In this paper, an improved approach is proposed to reduce the effects of observational errors during assimilation of snow cover fraction acquired by the Fengyun-3(FY-3) satellite in northeastern China. A snow depth constraint was imposed on quality control of a snow depth product from a microwave radiation imager. The assimilation experiments were carried out before and after quality control(denoted as SCFDA and SCFDA_WSD, respectively). The snow cover fraction results were evaluated against the Moderate Resolution Imaging Spectroradiometer(MODIS) snow cover products. When assimilating the snow cover fraction with the snow depth constraint(i.e., SCFDA_WSD), substantially larger improvement was obtained than that without such a constraint/quality control(SCFDA), and the deviation and root mean square error of the snow cover fraction were significantly reduced.The assimilation performance was also evaluated against in-situ snow depth observations. The SCFDA_WSD also showed greater improvements during the snow accumulation and snowmelt periods than the SCFDA. The SCFDA_WSD improvements in woodland and shrubland were the most obvious. At different altitudes, the effects of the SCFDA_WSD were basically equivalent, and the deeper the snow depth was, the better the effect. In addition, the SCFDA_WSD method was found in close agreement with the observations during a sudden snowfall event. | Shuai ZHANG Chunxiang SHI Runping SHEN Jie WU | 2019 | Journal of Meteorological Research2019，33，5： | 1 |
| 20 | Substantially Enhanced Properties of 2D WS_(2) by High Concentration of Erbium Doping against Tungsten Vacancy Formation显示文摘Doping in 2D materials is an important method for tuning of band structures.For this purpose,it is important to develop controllable doping techniques.Here,we demonstrate a substitutional doping strategy by erbium(Er)ions in the synthesis of monolayer WS2 by chemical vapor deposition.Substantial enhancements in photoluminescent and photoresponsive properties are achieved,which indicate a tungsten vacancy suppression mechanism by Er filling.Er ion doping in the monolayer WS2 is proved by X-ray diffraction(XRD)and X-ray photoelectron spectra(XPS),fluorescence,absorption,excitation,and Raman spectra.11.5 at%of the maximum Er concentration is examined by energy dispersive X-ray spectroscopy(EDX).Over 6 times enhancement of intensities with 7.9 nm redshift in peaks are observed from the fluorescent spectra of Er-doped WS2 monolayers compared with their counterparts of the pristine WS2 monolayers,which agrees well with the density functional theory calculations.In addition,over 11 times of dark current,469 times of photocurrents,photoresponsivity,and external quantum efficiency,and two orders of photoresponse speed are demonstrated from the Er-doped WS2 photodetector compared with those of the pristine WS2 device.Our findings prove rare-earth doping in 2D materials,the exciting and ideal technique for substantially enhanced photoluminescent and photoresponsive properties. | Hongquan Zhao Guoxing Zhang Bing Yan Bo Ning Chunxiang Wang Yang Zhao Xuan Shi | 2022 | Research2022，，4： | 1 |
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