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| 1 | A Regional Ensemble Forecast System for Stratiform Precipitation Events in Northern China.Part I:A Case Study显示文摘A single-model,short-range,ensemble forecasting system (Institute of Atmospheric Physics,Regional Ensemble Forecast System,IAP REFS) with 15-km grid spacing,configured with multiple initial conditions,multiple lateral boundary conditions,and multiple physics parameterizations with 11 ensemble members,was developed using the Weather and Research Forecasting Model Advanced Research modeling system for prediction of stratiform precipitation events in northern China.This is the first part of a broader research project to develop a novel cloud-seeding operational system in a probabilistic framework.The ensemble perturbations were extracted from selected members of the National Center for Environmental Prediction Global Ensemble Forecasting System (NCEP GEFS) forecasts,and an inflation factor of two was applied to compensate for the lack of spread in the GEFS forecasts over the research region.Experiments on an actual stratiform precipitation case that occurred on 5-7 June 2009 in northern China were conducted to validate the ensemble system.The IAP REFS system had reasonably good performance in predicting the observed stratiform precipitation system.The perturbation inflation enlarged the ensemble spread and alleviated the underdispersion caused by parent forecasts.Centering the extracted perturbations on higher-resolution NCEP Global Forecast System forecasts resulted in less ensemble mean root-mean-square error and better accuracy in probabilistic quantitative precipitation forecasts (PQPF).However,the perturbation inflation and recentering had less effect on near-surface-level variables compared to the mid-level variables,and its influence on PQPF resolution was limited as well. | 朱江山 Fanyou KONG 雷恒池 | 2012 | Advances in Atmospheric Sciences2012，29，1： | 7 |
| 2 | New formulae for calculating activities from binary system phase diagrams containing solid solution by introducing the parameterθ显示文摘New formulae for calculating activities and activity coefficients from binary phase diagrams containing solidsolution are presented. In the new formulae, a parameterθ is introduced. It seems be more efficient The application ofthese formulae to system Ag-Pb proves its efficiency. | ZHANG Fan XIE Fanyou CAI Wenjuan CHOU Kuochih (Applied Science School, University of Science and Technology Beijing, Beijing 100083, China) | 1997 | International Journal of Minerals,Metallurgy and Materials1997，11，3： | 3 |
| 3 | Evaluation of Radar and Automatic Weather Station Data Assimilation for a Heavy Rainfall Event in Southern China显示文摘To improve the accuracy of short-term(0–12 h) forecasts of severe weather in southern China, a real-time storm-scale forecasting system, the Hourly Assimilation and Prediction System(HAPS), has been implemented in Shenzhen, China. The forecasting system is characterized by combining the Advanced Research Weather Research and Forecasting(WRF-ARW)model and the Advanced Regional Prediction System(ARPS) three-dimensional variational data assimilation(3DVAR) package. It is capable of assimilating radar reflectivity and radial velocity data from multiple Doppler radars as well as surface automatic weather station(AWS) data. Experiments are designed to evaluate the impacts of data assimilation on quantitative precipitation forecasting(QPF) by studying a heavy rainfall event in southern China. The forecasts from these experiments are verified against radar, surface, and precipitation observations. Comparison of echo structure and accumulated precipitation suggests that radar data assimilation is useful in improving the short-term forecast by capturing the location and orientation of the band of accumulated rainfall. The assimilation of radar data improves the short-term precipitation forecast skill by up to9 hours by producing more convection. The slight but generally positive impact that surface AWS data has on the forecast of near-surface variables can last up to 6–9 hours. The assimilation of AWS observations alone has some benefit for improving the Fractions Skill Score(FSS) and bias scores; when radar data are assimilated, the additional AWS data may increase the degree of rainfall overprediction. | HOU Tuanjie Fanyou KONG CHEN Xunlai LEI Hengchi HU Zhaoxia | 2015 | Advances in Atmospheric Sciences2015，32，7： | 2 |
| 4 | A New Treatment for Calculating Activities from Simple Eutectic Phase Diagrams 显示文摘 | Fan Zhang Fanyou Xie Kuo - chih Chou | 1992 | CALPHAD1992，16，3： | 1 |
| 5 | A study of microstructure and microsegregation of aluminum 7050 alloy显示文摘 | FANYOU Xie XINYAN Yan LING Ding | 2003 | Materials Science and Engineering A2003，355，： | 1 |
| 6 | Microsegregation in Al–4.5Cu wt.% alloy: experimental investigation and numerical modeling显示文摘 | Xinyan Yan Fanyou Xie M Chu Y.A Chang | 2001 | Materials Science & Engineering A2001，，2： | 1 |
| 7 | The vertical transport of air pollutants by convective clouds part II : Transport of soluble gases and sensitivity tests 显示文摘 | Kong Fanyou | 1994 | Advances in Atmospheric Sciences1994，11，1： | 1 |
| 8 | A new treatment for calculating activities from simple eutectic phase diagrams 显示文摘 | Zhang Fan Xie Fanyou Chou Kuochi | 1992 | Calphad1992，16，3： | 1 |
| 9 | A study of microstructure and microsegregation of aluminum 7050 alloy 显示文摘 | Fanyou Xie Xinyan Yan | 2003 | Materials Science and Engineering A2003，355，： | 1 |
| 10 | A study of microstructure and microsegrgation of 7050 alloy 显示文摘 | Xie Fanyou Yan Xinyan Ding Ling | 2003 | Materials Science and Engineering2003，355，： | 1 |
| 11 | Phase diagram calculation: past, present and future显示文摘 | Y.Austin Chang Shuanglin Chen Fan Zhang Xinyan Yan Fanyou Xie Rainer Schmid-Fetzer W.Alan Oates | 2003 | Progress in Materials Science2003，，3： | 1 |
| 12 | A study of microstructure and microsegregation of aluminum 7050 alloy显示文摘 | Fanyou Xie Xinyan Yan Ling Ding | 2003 | Materials Science and Engineering A2003，355，12： | 1 |
| 13 | Storm-scale ensemble forecast based on breeding of growth modes显示文摘How to obtain fast-growth errors,which is comparable to the actual forecast growth error,is a crucial problem in ensemble fore-cast(EF).The method,Breeding of Growth Modes(BGM),which has been used to generate perturbations for medium-range EF at NCEP,simulates the development of fast-growth errors in the analysis cycle,and is a reasonable choice in capturing growing errors modes,especially for extreme weather by BGM.An ideal supercell storm,simulated by Weather Research Forecast model(WRF),occurred in central Oklahoma on 20 May 1977.This simulation was used to study the application of BGM methods in the meso-scale strong convective Ensemble Prediction System(EPS).We compared the forecasting skills of EPS by different pertu-bation methods,like Monte-Carlo and BGM.The results show that the ensemble average forecast based on Monte-Carlo with sta-tistics meaning is superior to the single-deterministic prediction,but a less dynamic process of the method leads to a smaller spread than expected.The fast-growth errors of BGM are comparable to the actual short-range forecast error and a more appropri-ate ensemble spread.Considering evaluation indexes and scores,the forecast skills of EPS by BGM is higher than Monte-Carlo's.Furthermore,various breeding cycles have different effects on precipitation and non-precipitation fields,confirmation of reason-able cycles need consider balance between variables. | Feng Gao JinZhong Min FanYou Kong | 2011 | Research in Cold and Arid Regions2011，3，1： | 0 |
| 14 | Impact of Soil Moisture Uncertainty on Summertime Short-range Ensemble Forecasts显示文摘To investigate the impact of soil moisture uncertainty on summertime short-range ensemble forecasts(SREFs), a fivemember SREF experiment with perturbed initial soil moisture(ISM) was performed over a northern China domain in summertime from July to August 2014. Five soil moisture analyses from three different operational/research centers were used as the ISM for the ensemble. The ISM perturbation produced notable ensemble spread in near-surface variables and atmospheric variables below 800 h Pa, and produced skillful ensemble-mean 24-h accumulated precipitation(APCP24) forecasts that outperformed any single ensemble member. Compared with a second SREF experiment with mixed microphysics parameterization options, the ISM-perturbed ensemble produced comparable ensemble spread in APCP24 forecasts, and had better Brier scores and resolution in probabilistic APCP24 forecasts for 10-mm, 25-mm and 50-mm thresholds. The ISM-perturbed ensemble produced obviously larger ensemble spread in near-surface variables. It was, however, still under-dispersed, indicating that perturbing ISM alone may not be adequate in representing all the uncertainty at the near-surface level, indicating further SREF studies are needed to better represent the uncertainties in land surface processes and their coupling with the atmosphere. | Jiangshan ZHU Fanyou KONG Xiao-Ming HU Yan GUO Lingkun RAN Hengchi LEI | 2018 | Advances in Atmospheric Sciences2018，35，7： | 0 |
| 15 | A Methodological Study on Using Weather Research and Forecasting(WRF) Model Outputs to Drive a One-Dimensional Cloud Model显示文摘A new method for driving a One-Dimensional Stratiform Cold(1DSC) cloud model with Weather Research and Forecasting(WRF) model outputs was developed by conducting numerical experiments for a typical large-scale stratiform rainfall event that took place on 4–5 July 2004 in Changchun, China. Sensitivity test results suggested that, with hydrometeor profiles extracted from the WRF outputs as the initial input, and with continuous updating of soundings and vertical velocities(including downdraft) derived from the WRF model, the new WRF-driven 1DSC modeling system(WRF-1DSC) was able to successfully reproduce both the generation and dissipation processes of the precipitation event. The simulated rainfall intensity showed a time-lag behind that observed, which could have been caused by simulation errors of soundings, vertical velocities and hydrometeor profiles in the WRF output. Taking into consideration the simulated and observed movement path of the precipitation system, a nearby grid point was found to possess more accurate environmental fields in terms of their similarity to those observed in Changchun Station. Using profiles from this nearby grid point, WRF-1DSC was able to reproduce a realistic precipitation pattern. This study demonstrates that 1D cloud-seeding models do indeed have the potential to predict realistic precipitation patterns when properly driven by accurate atmospheric profiles derived from a regional shortrange forecasting system. This opens a novel and important approach to developing an ensemble-based rain enhancement prediction and operation system under a probabilistic framework concept. | JIN Ling Fanyou KONG LEI Hengchi HU Zhaoxia | 2014 | Advances in Atmospheric Sciences2014，31，1： | 0 |
| 16 | A review on nanoconfinement engineering of red phosphorus for enhanced Li/Na/K-ion storage performances显示文摘Secondary batteries are widely used in energy storage equipment.To obtain high-performance batteries,the development and utilization of electrode materials with cheap price and ideal theoretical gravimetric and volumetric specific capacities have become particularly important.Naturally abundant and low-cost red phosphorus(RP)is recognized as an anode material with great promise because it has a theoretical capacity of 2596 mA h g^(-1) in lithium-ion batteries(LIBs)and sodium-ion batteries(SIBs).However,owing to the inferior discharging,the capacity of pure RP has a fast decay.Nanoconfinement of RP nanoparticles within porous carbon framework is one of the efficient methods to overcome these problems.In this review,we introduce the recent progress of RP confinement into carbon matrix as an energy storage anode material in LIBs,SIBs and potassium-ion batteries(PIBs).The synthetic strategies,lithiation/sodia tion/potassiation mechanism,and the electrochemical performances of RP/carbon composites(RP/C)with kinds of designed structures and P-C and P-O-C bond by kinds of methods are included.Finally,the challenges and perspectives of RP faced in the application development as anodes for LIBs/SIBs/PIBs are covered.This review will strengthen the understanding of composites of RP nanoparticles in porous carbon materials and aid researchers to carry out future work rationally. | Yuanyuan Sun Fanyou Zeng Yukun Zhu Ping Lu Dongjiang Yang | 2021 | Journal of Energy Chemistry2021，30，10： | 0 |
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