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Nicholas Ssessanga
Observed name:
Ssessanga, Nicholas
Institution:
University of Oslo
Observed institutions:
South African National Space Agency,
University of Oslo,
Chungnam National University,
Rhodes University,
Kyoto University,
Research Institute for Sustainable Humanosphere
show all 6
ORCID:
0000-0003-0000-5525
Observed ORCID:
0000-0003-0000-5525
OpenAlex ID:
A5102999153
Vertical structure of medium‐scale traveling ionospheric disturbances
2015
·
Nicholas Ssessanga
, Yong Ha Kim
, et al.
·
Geophysical Research Letters
·
38
PDF
Adapting a climatology model to improve estimation of ionosphere parameters and subsequent validation with radio occultation and ionosonde data
2016
·
John Bosco Habarulema
, Nicholas Ssessanga
·
Space Weather
·
32
Assimilation of Multiple Data Types to a Regional Ionosphere Model With a 3D‐Var Algorithm (IDA4D)
2019
·
Chalachew Kindie Mengist
, Nicholas Ssessanga
, et al.
·
Space Weather
·
31
PDF
Estimation of foF2 from GPS TEC over the South African region
2014
·
Nicholas Ssessanga
, Lee-Anne Mckinnell
, et al.
·
Journal of Atmospheric and Solar-Terrestrial Physics
·
27
Estimation of Ionospheric Critical Plasma Frequencies From GNSS‐TEC Measurements Using Artificial Neural Networks
2019
·
Vivian Otugo
, Daniel Okoh
, et al.
·
Space Weather
·
25
Tomography Reconstruction of Ionospheric Electron Density with Empirical Orthonormal Functions Using Korea GNSS Network
2017
·
Junseok Hong
, Yong Ha Kim
, et al.
·
Journal of Astronomy and Space Sciences
·
22
On Imaging South African Regional Ionosphere Using 4D‐var Technique
2019
·
Nicholas Ssessanga
, Yong Ha Kim
, et al.
·
Space Weather
·
18
PDF
The 4D‐var Estimation of North Korean Rocket Exhaust Emissions Into the Ionosphere
2018
·
Nicholas Ssessanga
, Yong Ha Kim
, et al.
·
Journal of Geophysical Research Space Physics
·
18
On improvement in representation of foE in IRI
2016
·
Zhe Yang
, Nicholas Ssessanga
, et al.
·
Advances in Space Research
·
15
Regional optimization of the IRI-2012 output (TEC, foF2) by using derived GPS-TEC
2015
·
Nicholas Ssessanga
, Yong Ha Kim
, et al.
·
Journal of the Korean Physical Society
·
15
Ionospheric imaging in Africa
2013
·
Alex T. Chartier
, Joe Kinrade
, et al.
·
Radio Science
·
15
PDF
Complementing regional ground GNSS-STEC computerized ionospheric tomography (CIT) with ionosonde data assimilation
2021
·
Nicholas Ssessanga
, Mamoru Yamamoto
, et al.
·
GPS Solutions
·
14
PDF
A statistical study on the F2 layer vertical variation during nighttime medium‐scale traveling ionospheric disturbances
2017
·
Nicholas Ssessanga
, Yong Ha Kim
, et al.
·
Journal of Geophysical Research Space Physics
·
14
High-resolution 3-D imaging of electron density perturbations using ultra-dense GNSS observation networks in Japan: an example of medium-scale traveling ionospheric disturbances
2024
·
Weizheng Fu
, Yuichi Otsuka
, et al.
·
Earth Planets and Space
·
9
PDF
3‐D Regional Imaging of Ionosphere Over Africa Through Assimilating Satellite and Ground‐Based Data
2023
·
Chalachew Kindie Mengist
, Kyong‐Hwan Seo
, et al.
·
Journal of Geophysical Research Space Physics
·
7
PDF
A Data Assimilated Regional Ionosphere Model Using the Total Electron Content from the Korean GPS Network
2018
·
Chalachew Kindie Mengist
, Yong Ha Kim
, et al.
·
Journal of the Korean Physical Society
·
7
Unveiling the vertical ionospheric responses following the 2024 Noto Peninsula Earthquake with an ultra-dense GNSS network
2025
·
Weizheng Fu
, Yuichi Otsuka
, et al.
·
Earth Planets and Space
·
5
PDF
Introduction of new data into the South African Ionospheric Map to improve the estimation of F2 layer parameters
2015
·
Nicholas Ssessanga
, Lee-Anne McKinnell
, et al.
·
Annals of Geophysics
·
5
PDF
Regional ionosphere specification by assimilating ionosonde data into the SAMI2 model
2019
·
Jeong Heon Kim
, Yong Ha Kim
, et al.
·
Advances in Space Research
·
3
PDF
Validation of the TEC2F2 model over the African equatorial region
2016
·
Nicholas Ssessanga
·
Advances in Space Research
·
1
Study of Nighttime Mid-latitude E-F Coupling in Geomagnetic Conjugate Regions Using a Double-thin-shell Model and Multi-source Data
2023
·
Weizheng Fu
, Tatsuhiro Yokoyama
, et al.
PDF
Characterizing ionospheric disturbances caused by the North Korean rocket (Hwasung-15) using a four-dimensional variational (4D-VAR) data-assimilation model
2021
·
Gwang Su Kim
, Yong Ha Kim
, et al.
·
Journal of the Korean Physical Society
Assessing the performance of a Northeast Asia Japan-cantered 3-D ionosphere specification technique during the 2015 St. Patrick’s day solar storm
2021
·
Nicholas Ssessanga
, Mamoru Yamamoto
, et al.
·
Research Square
PDF
A tomographic Investigation of mid-latitude nighttime ionospheric E-F coupling
2018
·
Nicholas Ssessanga
·
42nd COSPAR Scientific Assembly
4D-var estimation of exhaust emissions by North Korean rockets
2017
·
Nicholas Ssessanga
, Yong Ha Kim
·
Japan Geoscience Union
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Works count:
34
Citation count:
321
H-index:
13
I10-index:
13
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