Affiliation: Prof. Guan Lei

Innovation Centre for Deep Sea Observation Network, SANYA Oceanographic Institution of the Ocean University of CHINA (SOI-OUC)

Email: leiguan@ouc.edu.cn

Education Experience:

09/1994 – 06/1998, Ph.D. in Marine Physics, Ocean University of Qingdao.

09/1992 – 06/1994, graduate program in Marine Physics, Ocean University of Qingdao

09/1988 – 06/1992, B.S. in Electronic Information Science and Technology, Ocean University of Qingdao

Short Bio:

Dr. Lei Guan, professor at the Sanya Oceanographic Institution, Ocean University of China. Her research interests focus on satellite ocean remote sensing including retrieval algorithms studies, multi-sensor data merging, products validation and in situ measurements for validation. She has published more than fifty papers including research on Haiyang satellites infrared and microwave sea surface temperature on IEEE Transactions on Geoscience and Remote Sensing. The multi-sensor sea surface temperature merging studies have been applied to the operational system of the National Satellite Ocean Application Service. She has been principal investigator for the national projects and involved in the international projects such as EC FP6 DRAGONESS project, China/ESA Dragon Programme, the International Space Science Institute project on Climate Data Records of Sea-Surface Temperature, and IOC/WESTPAC New Generation SST project. She has been science team member of the Group for High-Resolution Sea Surface Temperature (GHRSST) since 2011.

Selected Publications :

1. Liu, M., L. Guan*, G. Chen and W. Zhao, (2020): Retrieval of Sea Surface Temperature from HY-2A Scanning Microwave Radiometer. IEEE Transactions on Geoscience and Remote Sensing, doi:10.1109/TGRS.2020.2980975

2. Yang, M.; L. Guan*, H. Beggs, N. Morgan, Y. Kurihara, M. Kachi, (2020) Comparison of Himawari-8 AHI SST with Shipboard Skin SST Measurements in the Australian Region. Remote Sens. doi: 10.3390/rs12081237.

3. Wei L., L. Guan* and L. Qu (2020): Prediction of Sea Surface Temperature in the South China Sea by Artificial Neural Networks. IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2019.2926992

4. Li,L., H. Chen, and L. Guan* (2019): Retrieval of Snow Depth on Sea Ice in the Arctic Using the FengYun-3B Microwave Radiation Imager. J. Ocean Univ. China 18(3), 580-588.

5. Theocharous E., N. P. Fox, I. Barker-Snook, R. Niclòs, V. Garcia Santos, P. J. Minnett, F. M. Göttsche, L. Poutier, N. Morgan, T. Nightingale, W. Wimmer, J. Høyer, K. Zhang, M. Yang, L. Guan, M. Arbelo, C. J. Donlon, 2019: The 2016 CEOS Infrared Radiometer Comparison: Part 2: Laboratory Comparison of Radiation Thermometers. J. Atmos. Ocean. Tech., 36(6), 1079-1092.

6. Wu, F. , P Cornillon, L Guan, and K. Kilpatrick, 2019: Long-Term Variations in the Pixel-to-Pixel Variability of NOAA AVHRR SST Fields from 1982 to 2015. Remote Sensing, doi:10.3390/rs11070844.

7. Liu, M. , C. J. Merchan, L. Guan*, and J. P. D. Mittaz (2018): Inter-Calibration of HY-1B/COCTS Thermal Infrared Channels with MetOp-A/IASI. Remote Sensing, doi:10.3390/rs10081173.

8. Liu, M. , L. Guan*, W. Zhao, and G. Chen (2017): Evaluation of sea surface temperature from HY-2 Scanning Microwave Radiometer. IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2016.2623641.

9. Wu F., P. Cornillon, B. Boussidi and L. Guan, 2017：Determining the pixel-to-pixel uncertainty in satellite-derived SSTfields. Remote Sensing, doi:10.3390/rs9090877.

10. Wang, H., L. Guan and G. Chen, 2016: Evaluation of sea surface temperature from FY-3c VIRR data in the Arctic. IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2015.2511184.