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Wind Speed and Altitude Dependent AMDAR Observational Error and Its Impacts on Data Assimilation and Forecasting 被引量:2
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作者 CHEN Yao-deng zhou bing-jun +1 位作者 CHEN Min WANG Yuan-bing 《Journal of Tropical Meteorology》 SCIE 2020年第3期261-274,共14页
Aircraft Meteorological Data Relay(AMDAR)observations have been widely used in numerical weather prediction(NWP)because of its high spatiotemporal resolution.The observational error of AMDAR is influenced by aircraft ... Aircraft Meteorological Data Relay(AMDAR)observations have been widely used in numerical weather prediction(NWP)because of its high spatiotemporal resolution.The observational error of AMDAR is influenced by aircraft flight altitude and atmospheric condition.In this study,the wind speed and altitude dependent observational error of AMDAR is estimated.The statistical results show that the temperature and the observational error in wind speeds slightly decrease as altitude increases,and the observational error in wind speed increases as wind speed increases.Pseudo single AMDAR observation assimilation tests demonstrate that the wind speed and altitude dependent observational error can provide more reasonable analysis increment.Furthermore,to assess the performance of wind speed and altitude dependent observational error on data assimilation and forecasting,two-month 3-hourly cycling data assimilation and forecast experiments based on the Weather Research and Forecasting Model(WRF)and its Data Assimilation system(WRFDA)are performed for the period during 1 September-31 October,2017.The results of the two-month 3-hourly cycling experiments indicate that new observational error improves analysis and forecast of wind field and geo-potential height,and has slight improvements on temperature.The Fractions Skill Score(FSS)of the 6-h accumulated precipitation shows that new wind speed and altitude dependent observational error leads to better precipitation forecast skill than the default observational error in the WRFDA does. 展开更多
关键词 numerical weather prediction data assimilation AMDAR observational error variational assimilation
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钢板桩-注浆在临江暗河基底涌水中应用 被引量:1
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作者 张明明 吴刚 +3 位作者 高胜强 苏全忠 周冰君 成鹏芝 《建筑机械化》 2022年第3期34-35,共2页
以惠州未来花园三期项目临江暗河地质条件下基坑工程基底涌水为背景,分析涌水事故原因,介绍钢板桩-注浆在该工程中堵水防渗的应用。监测结果表明,该钢板桩+注浆堵水防渗加固技术效果良好,满足工程施工要求,节约了施工时间。
关键词 临江暗河 基底涌水 注浆 堵水防渗 数值模拟 监测
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