基本情况

任磊，2011年毕业于河海大学港口航道及近海工程专业，2011-2015年获国家留学基金委资助于爱尔兰国立大学攻读物理海洋学博士学位，现为中山大学海洋工程与技术学院副教授，硕士生导师。

 

研究领域

河口环流数值模拟与同化，海洋遥感观测与分析，数据挖掘，海洋再生能源等

 

工作经历及教育背景

2018-至今，中山大学，副教授

2015-2017，爱尔兰国立大学，博士后

 

论文发表

  1. Ren, L., Hu, Z., Hartnett, M., 2018, Short-Term Forecasting of Coastal Surface Currents Using High Frequency Radar Data and Artificial Neural Networks, Remote Sensing, 10(6), 850
  2. Ren, L., Hu, Z., Hartnett, M., 2018, Prediction of coastal surface currents using numerical model and soft computing model, Energy Procedia, 153, 16-21
  3. Ren, L.*, Hartnett, M., 2017, Comparative Study on Assimilating Remote Sensing High Frequency Radar Surface Currents at an Atlantic Marine Renewable Energy Test Sites, Remote Sensing, 9(12), 1331
  4. Ren, L.*, Hartnett, M. 2017, Hindcasting and forecasting of surface flow fields through assimilating High Frequency remotely sensing radar data, Remote Sensing, 9(9), 1-22
  5. O’Carroll, J., Kennedy, R., Ren, L., Nash, S., Hartnett, M. & Brown, C., 2017. A comparison of acoustic and observed sediment classifications as predictor variables for modelling biotope distributions in Galway Bay, Ireland, Estuarine Coastal and Shelf Science, 197, 258-270
  6. Ren, L.*, Hartnett, M., 2016. Sensitivity analysis of a data assimilation technique for hindcasting and forecasting hydrodynamics of a complex coastal water body, Computers & GeoSciences, 99, 81-90
  7. Ren, L.*, Nash, S., Hartnett, M., 2016. Forecasting of coastal currents via correcting wind stress assimilating high frequency radar data in a three-dimensional model, Advances in Meteorology, 2016, 1-12
  8. Ren, L.*, Nash, S., Hartnett, M., 2015. Observation and modeling of tide- and wind-induced surface currents at Galway Bay. Water Science and Engineering, 8(4), 345-352
  9. O’Donncha, F., Hartnett, M., Nash, S., Ren, L., Ragnoli, E., 2015. Characterizing observed circulation patterns within a bay using HF radar and numerical model simulations. Journal of Marine Systems 142, 96-110
  10. Ren, L.*, Nash, S., Hartnett, M., 2014. Optimal Interpolation Data Assimilation of Surface Currents by Utilizing Pseudo Measurement with Monte Carlo Simulation. Computer Modelling & New Technologies 18, 240-248