• Log In
    New user? Click here to register. Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of MR
  • Log In
    New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Mungufeni, Patrick"

Now showing 1 - 5 of 5
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    Analysis of Global Ionosphere Maps from CODE
    (2023-09-29) Mungufeni, Patrick
    The presentation analyses the Global Ionosphere Maps from Center for Orbit Determination in Europe (CODE)
  • Loading...
    Thumbnail Image
    Item
    Application of Classical Kalman filtering technique in assimilation of multiple data types to NeQuick model
    (EDP Sciences, 2022-03-03) Mungufeni, Patrick; Migoya-Orué, Yenca; Matamba, Tshimangadzo Merline; Omondi, George
    This study attempts to improve estimation of ionospheric electron density profiles over Korea and adjacent areas by employing classical Kalman filtering technique to assimilate Total Electron Content (TEC) data from various sources into the NeQuick model. Successive corrections method was applied to spread the effect of TEC data assimilation at a given location to others that lacked TEC observations. In order to reveal that the assimilation results emulate the complex ionospheric changes during geomagnetic storms, the selected study days included both quiet (Kp ≤ 3) and disturbed geomagnetic conditions in the year 2015. The results showed that assimilation of TEC data derived from ground-based GPS receivers can improve the root mean squared error (RMSE) associated with the NeQuick model estimation of ionospheric parameters by ≥ 56 %. The improvement of RMSE achieved by assimilating TEC data that were measured using ionosondes was ~50 %. The assimilation of TEC observations made by the COSMIC radio occultation technique yielded results that depicted RMSE improvement of > 10 %. The assimilation of TEC data measured by GPS receiver onboard Low Earth Orbiting satellites yielded results that revealed 1 deterioration of RMSE. This outcome might be due to either the fact that the receivers are on moving platforms and these dynamics might have not been accounted for during TEC computation or limitation of the assimilation process. Validation of our assimilation results with global ionosphere TEC data maps as processed at the center for orbit determination in Europe (CODE) revealed that both depicted similar TEC changes, showing response to a geomagnetic storm.
  • Loading...
    Thumbnail Image
    Item
    The correlation between equatorial electrojet and equatorial ionisation anomaly over the East African region during the solar minimum period 2008-2009
    (East African Journal Of Science, Technology and Innovation, 2023-09-29) Xiong, Mengqiu; Milimu, Hannington; Omondi, George; Mungufeni, Patrick
    This study analyzed the correlation between the equatorial electrojet (EEJ) and the occurrence of equatorial ionisation anomaly (EIA) over the East African region. The study was carried out during both geomagnetically quiet and disturbed conditions when Kp index values were < 2+ and > 5+, respectively. The EEJ data were obtained using a pair of magnetometers located at Adis Ababa (geographic 9.04°N, 38.77°E, geomagnetic 0.17°N, 110.47°E) and Adigrat (geographic 14.281°N, 39.46°E, geomagnetic 6.0°N, 111.06°E), both in Ethiopia while the EIA data were derived from the total electron content (TEC) data that were obtained using a set of Global Navigation Satellite System (GNSS) receivers within the East African region. The data used were for the years 2008 and 2009. The TEC data over the crest of EIA were divided by those over the trough to quantify EIA strength over the region. The EEJ intensity was estimated from the difference in the horizontal component of the geomagnetic field observed by the pair of magnetometers. The results during quiet geomagnetic conditions showed that peak values of EEJ which range from 48nT - 110nT occurred between 10:00 and 14:00 LT. The EIA’s peak which varies from 1.20 to 1.45 occurs between 20:00 to 22:00 LT. The correlation coefficients were found to vary from moderate (0.58) to strongest (0.74). During geomagnetically disturbed conditions, the correlation coefficient ranges from 0.28 to 0.45. The increased eastward electric field and photo-ionization on TEC are responsible for the strong link between EEJ and EIA. This study reveals the trend in the variation of the strength of EEJ and EIA over the East African region which can be used as a basis for developing regional models to forecast or nowcast scintillations and the ionospheric space weather prediction over this region.
  • Loading...
    Thumbnail Image
    Item
    Global Navigation Satellite System (GNSS) radio occultation data analysis and interpretation
    (2023-09-29) Mungufeni, Patrick
    This presentation introduced the importance of Low Earth Orbit (LEO) satellite missions in Ionospheric studies, Ionospheric Data obtained from LEO satellite missions, Data of the Challenging MiniPay load (CHAMP) satellite mission, Data of Constellation Observing System for Meteorology, Ionosphere and Climate (COSMIC) satellite mission.
  • Loading...
    Thumbnail Image
    Item
    Report on: space weather and upper atmospheric data analysis training workshop for East African Community, held during, 25th - 29th September 2023
    (Muni University, 2023-10-19) Mungufeni, Patrick
    This document contains technical report on Space Weather and Upper Atmospheric data analysis training workshop for East African Community, held in Muni University from 25th - 29th September 2023. The report contains; a preamble, technical presentations, and workshop evaluation.

University Repository :: copyright © 2025 Muni University

  • Library Website
  • Library OPAC
  • Library Ebooks (Intranet)
  • Powered by DSpace