A. Publications
- Tulasi Ram, S., Sai Gowtam, V., Mitra, A., & Reinisch, B. (2018). The improved two-dimensional artificial neural network-based ionospheric model (ANNIM). Journal of Geophysical Research: Space Physics, 123, 5807–5820. https://doi.org/10.1029/2018JA025559
- Sai Gowtam, V., & Tulasi Ram, S. (2017). An Artificial Neural Network‐Based Ionospheric Model to Predict NmF2 and hmF2 Using Long‐Term Data Set of FORMOSAT‐3/COSMIC Radio Occultation Observations: Preliminary Results [ ACKNOWLEDGEMENTS FOR COMPUTATIONAL HELP] https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017JA024795
B. Presentations:
- Mitra, A., Di Girolamo, L., Hong, Y., Zhan, Y. & Mueller, K. Comparison of Nearly Co-incident Cloud Top Heights (CTH) from MISR, Terra MODIS and ISS-CATS to Verify Long-term CTH Records. Presented at :
- EUMETSAT-NOAA-AMS 2019 Joint Satellite Meteorology Conference, Boston
- MISR Science Team Meeting, 2020
Attached : CATS_MISR_MODIS_CTH Intercomparison Preliminary Results Poster
C. Dissertations :
Master’s Thesis : A Study of Extensive Radio Occultation Data from 2007-2015 to Understand and Model Short and Long-term Variability in Ionospheric Response to Solar Forcing. Mitra, A., Tulasi Ram, S., Dutta, D. (2017)
Attached : MS_Thesis
[M.Sc. thesis that combined data analysis and a neural network algorithm to study and create a prognostic predictive model of ionospheric electrodynamics.]