嘉宾(Presenter)：Dr. Tulasiram Sudarsanam
时间（Date & Time）：May 20, 2019 15:00-16:00（周一）
地点(Venue):闻天楼南楼201, Wentian Building Room S201
题目(Title)：A new ANN based global 3D dimensional Ionospheric Model (ANNIM-3D) for space weather applications: Merits, Limitations and scope for improvements
Great efforts have already been made to model the terrestrial ionosphere, conventionally, by solving the conservation equations (physics based models) and fitting the large observational databases using predefined analytical functions (empirical models). While the both methods have their own advantages and limitations, we have adopted a new approach of using artificial neural networks to develop a global three dimensional ionospheric model by assimilating long term ionospheric observations from nearly two decades of ground based Digisonde, satellite based topside sounders and global positioning system-radio occultation (GPS-RO) measurements. The model predicted vertical electron density profiles have been validated with independent ground based incoherent scatter radar measurements at Jicamarca and Millstone Hill. Further, the model predictions are found to be quite promising with respect to ground-based Digisonde and topside satellite in-situ observations beside the well-established IRI-2016 model. The merits and limitations of this model and the scope for the potential improvements will be discussed.
Dr. Tulasiram Sudarsanam is an early career researcher who has been actively working in the field of Earth’s Upper Atmosphere, Aeronomy, Space Weather and Solar-Terrestrial interactions. Now he is an Associate Professor in Indian Institute of Geomagnetism (IIG), India. He has received a lot of awards, such as the Best Thesis Award for the year 2008 from Andhra University, India; the URSI Young Scientist award in the year 2008; IGU’s with GEOHOST award in 2010. Recently, Dr. Tulasiram and his team at Indian Institute of Geomagnetism have developed an Artificial Neural Network based 2-dimensional Ionospheric Model (ANNIM) using climatological GPS-RO data [Sai Gowtam and Tulasi Ram, 2017 and Tulasi Ram et al., 2018]. This work has been selected as a Featured Article in JGR-Space Physics and awarded with Best Paper Award in International Symposium on Equatorial Aeronomy (ISEA). Currently, he and his team are improving this model to develop a complete 3-dimensional ionospheric model based on climatological GNSS-RO and world-wide digisonde observations. For his contributions in the ionospheric modelling, Dr. Tulasiram has been awarded with Early Career Research Award from Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India and a research grant for the development of 3-d ionospheric model for space weather applications.
Dr. Tulasiram has contributed in a wide and multi-disciplinary research topics in the field of Solar-Terrestrial interactions and space weather. He has published about 52 research papers in reputed international journals with high impact factors. His publications were highly cited in literature with more than 850 citations and have h-index = 18 till 2019.