Follow
Dr. V. SAI GOWTAM
Title
Cited by
Cited by
Year
Duskside enhancement of equatorial zonal electric field response to convection electric fields during the St. Patrick's Day storm on 17 March 2015
S Tulasi Ram, T Yokoyama, Y Otsuka, K Shiokawa, S Sripathi, ...
Journal of Geophysical Research: Space Physics 121 (1), 538-548, 2016
902016
An Artificial Neural Network‐Based Ionospheric Model to Predict NmF2 and hmF2 Using Long‐Term Data Set of FORMOSAT‐3/COSMIC Radio …
V Sai Gowtam, S Tulasi Ram
Journal of Geophysical Research: Space Physics 122 (11), 11,743-11,755, 2017
442017
Explicit characteristics of evolutionary‐type plasma bubbles observed from Equatorial Atmosphere Radar during the low to moderate solar activity years 2010–2012
KK Ajith, ST Ram, M Yamamoto, T Yokoyama, VS Gowtam, Y Otsuka, ...
Journal of Geophysical Research: Space Physics 120 (2), 1371-1382, 2015
422015
Ionospheric winter anomaly and annual anomaly observed from Formosat-3/COSMIC Radio Occultation observations during the ascending phase of solar cycle 24
VS Gowtam, ST Ram
Advances in Space Research 60 (8), 1585-1593, 2017
372017
The improved two‐dimensional artificial neural network‐based ionospheric model (ANNIM)
S Tulasi Ram, V Sai Gowtam, A Mitra, B Reinisch
Journal of Geophysical Research: Space Physics 123 (7), 5807-5820, 2018
352018
Ionospheric annual anomaly—New insights to the physical mechanisms
V Sai Gowtam, S Tulasi Ram
Journal of Geophysical Research: Space Physics 122 (8), 8816-8830, 2017
232017
A new artificial neural network‐based global three‐dimensional ionospheric model (ANNIM‐3D) using long‐term ionospheric observations: Preliminary results
VS Gowtam, S Tulasi Ram, B Reinisch, A Prajapati
Journal of Geophysical Research: Space Physics 124 (6), 4639-4657, 2019
212019
Ionospheric responses to the 21 August 2017 great American solar eclipse–A multi-instrument study
G Uma, PS Brahmanandam, VKD Srinivasu, D Prasad, VS Gowtam, ...
Advances in Space Research 65 (1), 74-85, 2020
72020
An aided Abel inversion technique assisted by artificial neural network-based background ionospheric model for near real-time correction of FORMOSAT-7/COSMIC-2 data
VS Gowtam, ST Ram, M Ankita
Advances in Space Research 68 (7), 2865-2875, 2021
62021
Unique latitudinal shape of ion upper transition height (HT) surface during deep solar minimum (2008–2009)
S Tulasi Ram, R Heelis, VS Gowtam, KK Ajith, SY Su
Journal of Geophysical Research: Space Physics 120 (2), 1419-1427, 2015
32015
Variation of the equatorial height anomaly during the main phase of 2015 St. Patrick's Day geomagnetic storm using ANNIM and TIEGCM
V Sai Gowtam, J Lei, S Tulasi Ram, X Luan, D Ren, J Zhong
Journal of Geophysical Research: Space Physics 124 (8), 7072-7085, 2019
12019
Mathematical Modeling of Thermospheric Mass Density Via Empirical Orthogonal Function Analysis
OC Owolabi, HKIM Connor, SG Valluri, D Oliveira
AGU Fall Meeting Abstracts 2022, SA45C-2178, 2022
2022
High-latitude ionospheric electrodynamics specification using the machine-learning based ionosphere models
SG Valluri, HKIM Connor, B Kunduri, J Raeder, DS Ozturk, AM Keesee
AGU Fall Meeting Abstracts 2022, SA25B-1923, 2022
2022
Constructing a Machine Learned Global Geomagnetic Field Prediction Model from Magnetic Local Time Dependent Multi-Layer Perceptron Neural Networks
M Blandin, H Connor, SG Valluri, DS Ozturk, AM Keesee, VA Pinto, ...
AGU Fall Meeting Abstracts 2022, SA45C-2182, 2022
2022
An Artificial Neural Network-based global three-dimensional ionospheric electron density model: present state, challenges, and future directions
SG Valluri
Proceedings of the 2nd Machine Learning in Heliophysics, 16, 2022
2022
An Artificial Neural Network-Based Ionospheric Model (ANNIM) to predict NmF2 and hmF2 using long-term data set of FORMOSAT-3/COSMIC radio occultation observations: Preliminary …
SG Valluri, T Ram S
42nd COSPAR Scientific Assembly 42, C1. 5-22-18, 2018
2018
The system can't perform the operation now. Try again later.
Articles 1–16