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| 1 | Multi-scale observation and cross-scale mechanistic modeling on terrestrial ecosystem carbon cycle显示文摘To predict global climate change and to implement the Kyoto Protocol for stabilizing atmospheric greenhouse gases concentrations require quantifying spatio-temporal variations in the terrestrial carbon sink accurately. During the past decade multi-scale ecological experiment and observation networks have been established using various new technologies (e.g. controlled environmental facilities, eddy covariance techniques and quantitative remote sensing), and have obtained a large amount of data about terrestrial ecosystem carbon cycle. However, uncertainties in the magnitude and spatio-temporal variations of the terrestrial carbon sink and in understanding the underlying mechanisms have not been reduced significantly. One of the major reasons is that the observations and experiments were conducted at individual scales independently, but it is the interactions of factors and processes at different scales that determine the dynamics of the terrestrial carbon sink. Since experiments and observations are always conducted at specific scales, to understand cross-scale interactions requires mechanistic analysis that is best to be achieved by mechanistic modeling. However, mechanistic ecosystem models are mainly based on data from single-scale experiments and observations and hence have no capacity to simulate mechanistic cross-scale interconnection and interactions of ecosystem processes. New-generation mechanistic ecosystem models based on new ecological theoretical framework are needed to quantify the mechanisms from micro-level fast eco-physiological responses to macro-level slow acclimation in the pattern and structure in disturbed ecosystems. Multi-scale data-model fusion is a recently emerging approach to assimilate multi-scale observational data into mechanistic, dynamic modeling, in which the structure and parameters of mechanistic models for simulating cross-scale interactions are optimized using multi-scale observational data. The models are validated and evaluated at different spatial and temporal scales and real-time observational data are assimilated continuously into dynamic modeling for predicting and forecasting ecosystem changes realistically. in summary, a breakthrough in terrestrial carbon sink research requires using approaches of multi-scale observations and cross-scale modeling to understand and quantify interconnections and interactions among ecosystem processes at different scales and their controls over ecosystem carbon cycle. | CAO Mingkui YU Guirui LIU Jiyuan LI Kerang | 2005 | Science China Earth Sciences2005，48，z1： | 17 |
| 2 | Impacts of land-use and climate changes on ecosystem productivity and carbon cycle in the cropping-grazing transitional zone in China显示文摘The impact of land-use/land-cover and climate changes on ecosystem productivity and carbon cycle is one of the most important issues in global change studies. In the past 20 years, the climate and land-use in China have changed significantly and have had important ecological consequences, especially in ecologically sensitive regions, e.g. the cropping-grazing transition zone (CGTZ). Here we present a study that used a process-based ecosystem model and data of land-use changes based on remote sensing and of climate change at high spatial and temporal resolution to estimate the impacts of land-use and climate changes on net primary productivity (NPP), vegetation carbon storage, soil heterotrophic respiration (HR), carbon storage and net ecosystem productivity (NEP) in the CGTZ of China. The results show that the warming and decreases in precipitation in CGTZ reduced NPP by 3.4%, increased HR by 4.3%, and re- duced annual mean total NEP by 33.7Tg from the 1980s to the 1990s. Although carbon storage in vegetation and soil was increasing because the mean NPP for the period was higher than HR, the decreasing NEP indicate that climate change reduced the carbon uptake rate. However, land-use changes in this zone caused increases in NPP by 3.8%, vegetation carbon storage by 2.4%, and annual total NEP by 0.59Tg. The land-use changes enhanced ecosystem carbon up- take, but not enough to offset the negative effect of the climate change. The climate change had greater impacts than the land-use change for the whole CGTZ zone, but had smaller impacts than the land-use change in the regions where it occurred. | GAO Zhiqiang LIU Jiyuan CAO Mingkui LI Kerang TAO Bo | 2005 | Science China Earth Sciences2005，48，9： | 16 |
| 3 | Interface engineering gifts CsPbI2.25Br0.75 solar cells high performance显示文摘Organic-inorganic halide perovskite (ABX3) solar cells (PSCs)have made great progress in recent years [1]. The power conversion efficiency (PCE) has increased up to 25.2%(NREL Best Research-Cell Efficiency Chart, http://gffzz8798726073dc471cs5u0xq0p0kovk69p9.ffgz.tsg.suse.edu.cn/pv/cell-efficiency.html, Accessed August 2019). However, they suffer from poor thermal stability due to the volatile A-site organic cations. | Zhimin Fang Xianyi Meng Chuantian Zuo Dan Li Zuo Xiao Chenyi Yi Mingkui Wang Zhiwen Jin Shangfeng Yang Liming Ding | 2019 | Science Bulletin2019，64，23： | 11 |
| 4 | Application of altimetry data assimilation on mesoscale eddies simulation显示文摘Mesoscale eddy plays an important role in the ocean circulation. In order to improve the simulation accuracy of the mesoscale eddies, a three-dimensional variation (3DVAR) data assimilation system called Ocean Variational Analysis System (OVALS) is coupled with a POM model to simulate the mesoscale eddies in the Northwest Pacific Ocean. In this system, the sea surface height anomaly (SSHA) data by satellite altimeters are assimilated and translated into pseudo temperature and salinity (T-S) profile data. Then, these profile data are taken as observation data to be assimilated again and produce the three-dimensional analysis T-S field. According to the characteristics of mesoscale eddy, the most appropriate assimilation parameters are set up and testified in this system. A ten years mesoscale eddies simulation and comparison experiment is made, which includes two schemes: assimilation and non-assimilation. The results of comparison between two schemes and the observation show that the simulation accuracy of the assimilation scheme is much better than that of non-assimilation, which verified that the altimetry data assimilation method can improve the simulation accuracy of the mesoscale dramatically and indicates that it is possible to use this system on the forecast of mesoscale eddies in the future. | GAO Shan WANG Fan LI MingKui CHEN YongLi YAN ChangXiang ZHU Jiang | 2008 | Science China Earth Sciences2008，51，1： | 10 |
| 5 | Active catalysts based on cobalt oxide@cobalt/N-C nanocomposites for oxygen reduction reaction in alkaline solutions显示文摘 | Dekang Huang Yanping Luo Shaohui Li Bingyan Zhang Yan Shen Mingkui Wang | 2014 | Nano Research2014，7，7： | 8 |
| 6 | An Examination of the Predictability of Tropical Cyclone Genesis in High-Resolution Coupled Models with Dynamically Downscaled Coupled Data Assimilation Initialization显示文摘Predicting tropical cyclone(TC)genesis is of great societal importance but scientifically challenging.It requires fineresolution coupled models that properly represent air−sea interactions in the atmospheric responses to local warm sea surface temperatures and feedbacks,with aid from coherent coupled initialization.This study uses three sets of highresolution regional coupled models(RCMs)covering the Asia−Pacific(AP)region initialized with local observations and dynamically downscaled coupled data assimilation to evaluate the predictability of TC genesis in the West Pacific.The APRCMs consist of three sets of high-resolution configurations of the Weather Research and Forecasting−Regional Ocean Model System(WRF-ROMS):27-km WRF with 9-km ROMS,and 9-km WRF with 3-km ROMS.In this study,a 9-km WRF with 9-km ROMS coupled model system is also used in a case test for the predictability of TC genesis.Since the local sea surface temperatures and wind shear conditions that favor TC formation are better resolved,the enhanced-resolution coupled model tends to improve the predictability of TC genesis,which could be further improved by improving planetary boundary layer physics,thus resolving better air−sea and air−land interactions. | Mingkui LI Shaoqing ZHANG Lixin WU Xiaopei LIN Ping CHANG Gohkan DANABASOGLU Zhiqiang WEI Xiaolin YU Huiqin HU Xiaohui MA Weiwei MA Haoran ZHAO Dongning JIA Xin LIU Kai MAO Youwei MA Yingjing JIANG Xue WANG Guangliang LIU Yuhu CHEN | 2020 | Advances in Atmospheric Sciences2020，37，9： | 4 |
| 7 | Alternate redox electrolytes in dye-sensitized solar cells显示文摘Dye-sensitized mesoscopic solar cell(DSC) has been intensively investigated as a promising photovoltaic cell.Redox electrolyte is important to determine the photovoltaic(PV) performance of the DSC devices,which has become the focus of this topic.In this contribution,recent advances in understanding and controlling of various redox couples are reviewed.Specially,we extend our discussion on the trends that enable iodide-free redox couples to be controllable and feasible for applications in the DSC with promising features. | LU JianFeng BAI Jie XU XiaoBao LI ZhiHong CAO Kun CUI Jin WANG MingKui | 2012 | Chinese Science Bulletin2012，57，32： | 3 |
| 8 | A New Method for Fitting Current–Voltage Curves of Planar Heterojunction Perovskite Solar Cells显示文摘Herein we propose a new equivalent circuit including double heterojunctions in series to simulate the current–voltage characteristic of P–I–N planar structure perovskite solar cells. This new method can theoretically solve the dilemma of the parameter diode ideal factor being larger than2 from an ideal single heterojunction equivalent circuit,which usually is in the range from 1 to 2. The diode ideal factor reflects PN junction quality, which influences the recombination at electron transport layer/perovskite and perovskite/hole transport layer interface. Based on the double PN junction equivalent circuit, we can also simulate the dark current–voltage curve for analyzing recombination current(Shockley–Read–Hall recombination) and diffusion current(including direct recombination), and thus carrier recombination and transportation characteristics. This new model offers an efficacious and simple method to investigate interfaces condition, film quality of perovskite absorbing layer and performance of transport layer, helping us furtherimprove the device efficiency and analyze the working mechanism. | Peizhe Liao Xiaojuan Zhao Guolong Li Yan Shen Mingkui Wang | 2018 | Nano-Micro Letters2018，10，1： | 3 |
| 9 | The diagnostic value of computed tomography histogram analysis in thyroid malignant solitary nodules showing coarse calcifications显示文摘 | Zhang Lexing Wei Peiying Han Zhijiang Xiang Jingjing Ding Jinwang Luo Dingcun Li Mingkui | 2018 | 中华内分泌外科杂志2018，12，4： | 2 |
| 10 | Climate-induced changes in the vegetation pattern of China in the 21st century显示文摘 | Li Yu Mingkui Cao Kerang Li | 2006 | Ecological Research2006，，6： | 1 |
| 11 | Gene selection using hybrid particle swarm optimization and genetic algorithm显示文摘 | Shutao Li Xixian Wu Mingkui Tan | 2008 | Soft Computing2008，，11： | 1 |
| 12 | Discrimination of the seeds of Notopterygium incisum and Notopterygium franchetii by validated HPLC-DAD–ESI-MS method and principal component analysis显示文摘 | Kaijie Xu Shunyuan Jiang Yan Zhou Yanxia Zhang Bing Xia Xuemin Xu Yi Zhou Yufei Li Mingkui Wang Lisheng Ding | 2011 | Journal of Pharmaceutical and Biomedical Analysis2011，，5： | 1 |
| 13 | Modelling carbon fluxes of different forests by coupling a remote-sensing model with an ecosystem process model显示文摘 | Junbang Wang Jiyuan Liu Mingkui Cao Yunfeng Liu Guirui Yu Guicai Li Shuhua Qi Kerang Li | 2011 | International Journal of Remote Sensing2011，，21： | 1 |
| 14 | Tuning SVM parameters by using a hybrid CLPSO-BFGS algorithm 显示文摘 | Li Shutao Tan Mingkui | 2010 | Neuro- computing2010，73，1012： | 1 |
| 15 | Gene selection using hybrid particle swarm optimization and genetic algorithm 显示文摘 | Li Shutao Wu Xixian Tan Mingkui | 2008 | Soft Comput2008，12，： | 1 |
| 16 | Tuning SVM parameters by using a hy- brid CLPSO-BFGS algorithm显示文摘 | LI Shutao TAN Mingkui | 2010 | Neurocomputing2010，73，10： | 1 |
| 17 | Gene Selection Using Hybrid Particle Swarm Optimization and Genetic Algo- rithm 显示文摘 | Li Shutao Wu Xixian Tan Mingkui | 2008 | Soft Computing2008，12，11： | 1 |
| 18 | Novel donor-acceptor-donor structured small molecular hole transporting materials for planar perovskite solar cells显示文摘Novel donor-acceptor-donor structured small molecular hole transporting materials are developed through a facile route by crosslinking dithienopyrrolobenzothiadiazole and phenothiazine or triarylamine-based donor units. The strong push/pull electron capability of dithienopyrrolobenzothiadiazole/ phenothiazine and large π-conjugated dithienopyrrolobenzothiadiazole facilitate hole mobility and high conductivity. The devices using the dithienopyrrolobenzothiadiazole/phenothiazine-based hole trans-porting material achieved a power conversion efficiency of 14.2% under 1 sun illumination and improved stability under 20% relative humidity at room temperature without encapsulation. The present finding highlights the potential of dithienopyrrolobenzothiadiazole-based donor-acceptor-donor small molecular hole transporting materials for perovskite solar cells. | Xiaojuan Zhao Yunyun Quan Han Pan Qingyun Li Yan Shen Zu-Sheng Huang Mingkui Wang | 2019 | Journal of Energy Chemistry2019，28，5： | 1 |
| 19 | Gene Selection Using Hybrid Particle Swarm Optimization and Genetic Algorithm显示文摘 | Li Shutao Wu Xixian Tan Mingkui | 2008 | Soft Computing2008，12，11： | 1 |
| 20 | Gene Selection Using Genetic Algorithm and Support vectors machines 显示文摘 | Shutao li Xixian Wu Mingkui Tan | 2008 | Soft computing2008，12，： | 1 |
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