International Journal of Energy and Environmental Science

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Spatio-Temporal Assessment of Climate in Response to Solar Radiation Changes over Nigeria Using Satellite Data

Received: Jan. 10, 2020    Accepted: Feb. 04, 2020    Published: May 19, 2020
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Abstract

Spatiotemporal assessment of climate elements in response to solar radiation changes is vital for understanding the interaction between solar energy budget and climate over Nigeria. In this work, the spatio-temporal assessment of climate changes in response to solar radiation budget was done using regression and correlation analysis on satellite remote sensing and gridded observation data. The satellite data sets include; the Top Net Solar radiation data, obtained from European Medium Range Weather Forecast Reanalysis version 5 data set (ERA5) and Extended Reconstructed Sea Surface (ERSST) data set. The gridded observation climate data sets were obtained from Climate Research Unit (CRU) of University of East Anglia. The 250 x 250 m Digital Elevation data sets were obtained from Shuttle Radar Topographic Mission (SRTM). Results showed the Top net solar radiation (J/m2), precipitation and temperature indicated trends (R-square values) of 8643.9 (0.08), -0.287 (0.06) and 0.019 (0.26) per year respectively. The correlation between Top net radiation and temperature shows, 7, 2 and 91% pixels to be negatively, zero and positively correlated while the correlation between Top net radiation and precipitation shows, 71, 8 and 21% pixels respectively to be negatively, zero and positively correlated. Results shows that there was no direct relationship between Elnino Southern Oscillation (ENSO) but arguably, temperature showed indirect relationship with Top net solar radiation. Also, residual analysis was applied to delineate areas that have no direct relationship between radiation and climate parameters.

DOI 10.11648/j.ijees.20200502.12
Published in International Journal of Energy and Environmental Science ( Volume 5, Issue 2, March 2020 )
Page(s) 40-46
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Climate Change, Nigeria, Solar Radiation, Residual Trends, ENSO

References
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  • APA Style

    Abiem Louis Tersoo, Igbawua Tertsea, Aondoakaa Solomon Igbalumun. (2020). Spatio-Temporal Assessment of Climate in Response to Solar Radiation Changes over Nigeria Using Satellite Data. International Journal of Energy and Environmental Science, 5(2), 40-46. https://doi.org/10.11648/j.ijees.20200502.12

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    ACS Style

    Abiem Louis Tersoo; Igbawua Tertsea; Aondoakaa Solomon Igbalumun. Spatio-Temporal Assessment of Climate in Response to Solar Radiation Changes over Nigeria Using Satellite Data. Int. J. Energy Environ. Sci. 2020, 5(2), 40-46. doi: 10.11648/j.ijees.20200502.12

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    AMA Style

    Abiem Louis Tersoo, Igbawua Tertsea, Aondoakaa Solomon Igbalumun. Spatio-Temporal Assessment of Climate in Response to Solar Radiation Changes over Nigeria Using Satellite Data. Int J Energy Environ Sci. 2020;5(2):40-46. doi: 10.11648/j.ijees.20200502.12

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  • @article{10.11648/j.ijees.20200502.12,
      author = {Abiem Louis Tersoo and Igbawua Tertsea and Aondoakaa Solomon Igbalumun},
      title = {Spatio-Temporal Assessment of Climate in Response to Solar Radiation Changes over Nigeria Using Satellite Data},
      journal = {International Journal of Energy and Environmental Science},
      volume = {5},
      number = {2},
      pages = {40-46},
      doi = {10.11648/j.ijees.20200502.12},
      url = {https://doi.org/10.11648/j.ijees.20200502.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijees.20200502.12},
      abstract = {Spatiotemporal assessment of climate elements in response to solar radiation changes is vital for understanding the interaction between solar energy budget and climate over Nigeria. In this work, the spatio-temporal assessment of climate changes in response to solar radiation budget was done using regression and correlation analysis on satellite remote sensing and gridded observation data. The satellite data sets include; the Top Net Solar radiation data, obtained from European Medium Range Weather Forecast Reanalysis version 5 data set (ERA5) and Extended Reconstructed Sea Surface (ERSST) data set. The gridded observation climate data sets were obtained from Climate Research Unit (CRU) of University of East Anglia. The 250 x 250 m Digital Elevation data sets were obtained from Shuttle Radar Topographic Mission (SRTM). Results showed the Top net solar radiation (J/m2), precipitation and temperature indicated trends (R-square values) of 8643.9 (0.08), -0.287 (0.06) and 0.019 (0.26) per year respectively. The correlation between Top net radiation and temperature shows, 7, 2 and 91% pixels to be negatively, zero and positively correlated while the correlation between Top net radiation and precipitation shows, 71, 8 and 21% pixels respectively to be negatively, zero and positively correlated. Results shows that there was no direct relationship between Elnino Southern Oscillation (ENSO) but arguably, temperature showed indirect relationship with Top net solar radiation. Also, residual analysis was applied to delineate areas that have no direct relationship between radiation and climate parameters.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Spatio-Temporal Assessment of Climate in Response to Solar Radiation Changes over Nigeria Using Satellite Data
    AU  - Abiem Louis Tersoo
    AU  - Igbawua Tertsea
    AU  - Aondoakaa Solomon Igbalumun
    Y1  - 2020/05/19
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ijees.20200502.12
    DO  - 10.11648/j.ijees.20200502.12
    T2  - International Journal of Energy and Environmental Science
    JF  - International Journal of Energy and Environmental Science
    JO  - International Journal of Energy and Environmental Science
    SP  - 40
    EP  - 46
    PB  - Science Publishing Group
    SN  - 2578-9546
    UR  - https://doi.org/10.11648/j.ijees.20200502.12
    AB  - Spatiotemporal assessment of climate elements in response to solar radiation changes is vital for understanding the interaction between solar energy budget and climate over Nigeria. In this work, the spatio-temporal assessment of climate changes in response to solar radiation budget was done using regression and correlation analysis on satellite remote sensing and gridded observation data. The satellite data sets include; the Top Net Solar radiation data, obtained from European Medium Range Weather Forecast Reanalysis version 5 data set (ERA5) and Extended Reconstructed Sea Surface (ERSST) data set. The gridded observation climate data sets were obtained from Climate Research Unit (CRU) of University of East Anglia. The 250 x 250 m Digital Elevation data sets were obtained from Shuttle Radar Topographic Mission (SRTM). Results showed the Top net solar radiation (J/m2), precipitation and temperature indicated trends (R-square values) of 8643.9 (0.08), -0.287 (0.06) and 0.019 (0.26) per year respectively. The correlation between Top net radiation and temperature shows, 7, 2 and 91% pixels to be negatively, zero and positively correlated while the correlation between Top net radiation and precipitation shows, 71, 8 and 21% pixels respectively to be negatively, zero and positively correlated. Results shows that there was no direct relationship between Elnino Southern Oscillation (ENSO) but arguably, temperature showed indirect relationship with Top net solar radiation. Also, residual analysis was applied to delineate areas that have no direct relationship between radiation and climate parameters.
    VL  - 5
    IS  - 2
    ER  - 

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Author Information
  • Department of Physics, University of Agriculture, Makurdi, Nigeria

  • Department of Physics, University of Agriculture, Makurdi, Nigeria

  • Department of Physics, University of Agriculture, Makurdi, Nigeria

  • Section