Assessing the Long-Term Changes in Selected Meteorological Parameters over the North-Rift, Kenya: A Regional Climatology Perspective

John Wanjala Makokha; Nelly Nambande Masayi; Peter Barasa; Peters Anselemo Ikoha; Martha Muthoni Konje; Jonathan Mutonyi; Victor Samuel Okello; Alice Nambiro Wechuli; Collins Otieno Majengo; Geoffrey Wanjala Khamala

doi:doi:10.11648/j.hyd.20241203.12

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| Peer-Reviewed

Assessing the Long-Term Changes in Selected Meteorological Parameters over the North-Rift, Kenya: A Regional Climatology Perspective

John Wanjala Makokha^*

, Nelly Nambande Masayi

, Peter Barasa

, Peters Anselemo Ikoha

, Martha Muthoni Konje

, Jonathan Mutonyi

, Victor Samuel Okello

, Alice Nambiro Wechuli

, Collins Otieno Majengo

, Geoffrey Wanjala Khamala

Published in Hydrology (Volume 12, Issue 3)

Received: 7 July 2024 Accepted: 12 August 2024 Published: 26 September 2024

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Abstract

Understanding long-term trends in climatic variables is essential for assessing climate change impacts on regional ecosystems and human livelihoods. A regional analysis of climatic variables over some domains is inevitable due to their geographical location and importance to the agricultural sector. Due to the aforementioned demands, the current study analyzes, trends in precipitation (from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS)), and minimum and maximum temperatures (from TerraClimate) over the North-Rift region of Kenya for over thirty (30) years using satellite data. The seasonal decomposition analysis was performed for each variable to explore the trends and residual components. The findings by the current study indicate that most counties, have experienced enhance precipitation which corresponds to a declining diurnal temperature from 2019 onwards. The seasonality component reveals repeated patterns or variations occurring at steady intervals within each region's data, hence suggesting a distinct regional seasonal trend in the selected meteorological parameters over time. Basically, all counties have reported a relatively constant variability in both maximum and minimum temperatures during the study period except from 2017 onwards where significant variability in the two properties is recorded. In conclusion, the foregoing results that the selected climatic variables exhibit significant spatiotemporal and interannual variability.

Published in	Hydrology (Volume 12, Issue 3)
DOI	10.11648/j.hyd.20241203.12
Page(s)	59-76
Creative Commons	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

North Rift, Climate Change, Rainfall, Temperature, East Africa, Long Term Trends, Climatic Variables, CHIRPS and TerraClimate Datasets

References

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APA Style

Makokha, J. W., Masayi, N. N., Barasa, P., Ikoha, P. A., Konje, M. M., et al. (2024). Assessing the Long-Term Changes in Selected Meteorological Parameters over the North-Rift, Kenya: A Regional Climatology Perspective. Hydrology, 12(3), 59-76. https://doi.org/10.11648/j.hyd.20241203.12

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ACS Style

Makokha, J. W.; Masayi, N. N.; Barasa, P.; Ikoha, P. A.; Konje, M. M., et al. Assessing the Long-Term Changes in Selected Meteorological Parameters over the North-Rift, Kenya: A Regional Climatology Perspective. Hydrology. 2024, 12(3), 59-76. doi: 10.11648/j.hyd.20241203.12

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AMA Style

Makokha JW, Masayi NN, Barasa P, Ikoha PA, Konje MM, et al. Assessing the Long-Term Changes in Selected Meteorological Parameters over the North-Rift, Kenya: A Regional Climatology Perspective. Hydrology. 2024;12(3):59-76. doi: 10.11648/j.hyd.20241203.12

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@article{10.11648/j.hyd.20241203.12,
  author = {John Wanjala Makokha and Nelly Nambande Masayi and Peter Barasa and Peters Anselemo Ikoha and Martha Muthoni Konje and Jonathan Mutonyi and Victor Samuel Okello and Alice Nambiro Wechuli and Collins Otieno Majengo and Geoffrey Wanjala Khamala},
  title = {Assessing the Long-Term Changes in Selected Meteorological Parameters over the North-Rift, Kenya: A Regional Climatology Perspective
},
  journal = {Hydrology},
  volume = {12},
  number = {3},
  pages = {59-76},
  doi = {10.11648/j.hyd.20241203.12},
  url = {https://doi.org/10.11648/j.hyd.20241203.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hyd.20241203.12},
  abstract = {Understanding long-term trends in climatic variables is essential for assessing climate change impacts on regional ecosystems and human livelihoods. A regional analysis of climatic variables over some domains is inevitable due to their geographical location and importance to the agricultural sector. Due to the aforementioned demands, the current study analyzes, trends in precipitation (from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS)), and minimum and maximum temperatures (from TerraClimate) over the North-Rift region of Kenya for over thirty (30) years using satellite data. The seasonal decomposition analysis was performed for each variable to explore the trends and residual components. The findings by the current study indicate that most counties, have experienced enhance precipitation which corresponds to a declining diurnal temperature from 2019 onwards. The seasonality component reveals repeated patterns or variations occurring at steady intervals within each region's data, hence suggesting a distinct regional seasonal trend in the selected meteorological parameters over time. Basically, all counties have reported a relatively constant variability in both maximum and minimum temperatures during the study period except from 2017 onwards where significant variability in the two properties is recorded. In conclusion, the foregoing results that the selected climatic variables exhibit significant spatiotemporal and interannual variability.
},
 year = {2024}
}

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TY  - JOUR
T1  - Assessing the Long-Term Changes in Selected Meteorological Parameters over the North-Rift, Kenya: A Regional Climatology Perspective

AU  - John Wanjala Makokha
AU  - Nelly Nambande Masayi
AU  - Peter Barasa
AU  - Peters Anselemo Ikoha
AU  - Martha Muthoni Konje
AU  - Jonathan Mutonyi
AU  - Victor Samuel Okello
AU  - Alice Nambiro Wechuli
AU  - Collins Otieno Majengo
AU  - Geoffrey Wanjala Khamala
Y1  - 2024/09/26
PY  - 2024
N1  - https://doi.org/10.11648/j.hyd.20241203.12
DO  - 10.11648/j.hyd.20241203.12
T2  - Hydrology
JF  - Hydrology
JO  - Hydrology
SP  - 59
EP  - 76
PB  - Science Publishing Group
SN  - 2330-7617
UR  - https://doi.org/10.11648/j.hyd.20241203.12
AB  - Understanding long-term trends in climatic variables is essential for assessing climate change impacts on regional ecosystems and human livelihoods. A regional analysis of climatic variables over some domains is inevitable due to their geographical location and importance to the agricultural sector. Due to the aforementioned demands, the current study analyzes, trends in precipitation (from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS)), and minimum and maximum temperatures (from TerraClimate) over the North-Rift region of Kenya for over thirty (30) years using satellite data. The seasonal decomposition analysis was performed for each variable to explore the trends and residual components. The findings by the current study indicate that most counties, have experienced enhance precipitation which corresponds to a declining diurnal temperature from 2019 onwards. The seasonality component reveals repeated patterns or variations occurring at steady intervals within each region's data, hence suggesting a distinct regional seasonal trend in the selected meteorological parameters over time. Basically, all counties have reported a relatively constant variability in both maximum and minimum temperatures during the study period except from 2017 onwards where significant variability in the two properties is recorded. In conclusion, the foregoing results that the selected climatic variables exhibit significant spatiotemporal and interannual variability.

VL  - 12
IS  - 3
ER  -

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Author Information

John Wanjala Makokha

Department of Science, Technology and Engineering, Kibabii University, Bungoma, Kenya

Contact Email

http://orcid.org/0000-0003-3267-4512
Nelly Nambande Masayi

Institute of Climate Change and Adaptation, University of Nairobi, Nairobi, Kenya; Department of Social Sciences, Kibabii University, Bungoma, Kenya

Contact Email

http://orcid.org/0000-0001-5255-9701
Peter Barasa

Department of Computer Science, Kibabii University, Bungoma, Kenya

Contact Email

http://orcid.org/0000-0002-9097-3767
Peters Anselemo Ikoha

Department of Information Technology, Kibabii University, Bungoma, Kenya

Contact Email

http://orcid.org/0009-0002-9500-8058
Martha Muthoni Konje

Department of Biological Sciences, Environmental and Natural Resources, Kibabii University, Bungoma, Kenya

Contact Email

http://orcid.org/0000-0002-2197-6198
Jonathan Mutonyi

Department of Agriculture and Veterinary Sciences, Kibabii University, Bungoma, Kenya

Contact Email

http://orcid.org/0000-0002-2597-232X
Victor Samuel Okello

Department of Biological Sciences, Environmental and Natural Resources, Kibabii University, Bungoma, Kenya

Contact Email

http://orcid.org/0000-0002-9057-6438
Alice Nambiro Wechuli

Department of Information Technology, Kibabii University, Bungoma, Kenya

Contact Email

http://orcid.org/0000-0001-8099-0486
Collins Otieno Majengo

Department of Agriculture and Veterinary Sciences, Kibabii University, Bungoma, Kenya

Contact Email

http://orcid.org/0000-0002-8984-2292
Geoffrey Wanjala Khamala

Department of Science, Technology and Engineering, Kibabii University, Bungoma, Kenya

Contact Email

http://orcid.org/0000-0003-2415-2212

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Plain Text BibTeX RIS

APA Style

Makokha, J. W., Masayi, N. N., Barasa, P., Ikoha, P. A., Konje, M. M., et al. (2024). Assessing the Long-Term Changes in Selected Meteorological Parameters over the North-Rift, Kenya: A Regional Climatology Perspective. Hydrology, 12(3), 59-76. https://doi.org/10.11648/j.hyd.20241203.12

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ACS Style

Makokha, J. W.; Masayi, N. N.; Barasa, P.; Ikoha, P. A.; Konje, M. M., et al. Assessing the Long-Term Changes in Selected Meteorological Parameters over the North-Rift, Kenya: A Regional Climatology Perspective. Hydrology. 2024, 12(3), 59-76. doi: 10.11648/j.hyd.20241203.12

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AMA Style

Makokha JW, Masayi NN, Barasa P, Ikoha PA, Konje MM, et al. Assessing the Long-Term Changes in Selected Meteorological Parameters over the North-Rift, Kenya: A Regional Climatology Perspective. Hydrology. 2024;12(3):59-76. doi: 10.11648/j.hyd.20241203.12

Copy | Download

@article{10.11648/j.hyd.20241203.12,
  author = {John Wanjala Makokha and Nelly Nambande Masayi and Peter Barasa and Peters Anselemo Ikoha and Martha Muthoni Konje and Jonathan Mutonyi and Victor Samuel Okello and Alice Nambiro Wechuli and Collins Otieno Majengo and Geoffrey Wanjala Khamala},
  title = {Assessing the Long-Term Changes in Selected Meteorological Parameters over the North-Rift, Kenya: A Regional Climatology Perspective
},
  journal = {Hydrology},
  volume = {12},
  number = {3},
  pages = {59-76},
  doi = {10.11648/j.hyd.20241203.12},
  url = {https://doi.org/10.11648/j.hyd.20241203.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hyd.20241203.12},
  abstract = {Understanding long-term trends in climatic variables is essential for assessing climate change impacts on regional ecosystems and human livelihoods. A regional analysis of climatic variables over some domains is inevitable due to their geographical location and importance to the agricultural sector. Due to the aforementioned demands, the current study analyzes, trends in precipitation (from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS)), and minimum and maximum temperatures (from TerraClimate) over the North-Rift region of Kenya for over thirty (30) years using satellite data. The seasonal decomposition analysis was performed for each variable to explore the trends and residual components. The findings by the current study indicate that most counties, have experienced enhance precipitation which corresponds to a declining diurnal temperature from 2019 onwards. The seasonality component reveals repeated patterns or variations occurring at steady intervals within each region's data, hence suggesting a distinct regional seasonal trend in the selected meteorological parameters over time. Basically, all counties have reported a relatively constant variability in both maximum and minimum temperatures during the study period except from 2017 onwards where significant variability in the two properties is recorded. In conclusion, the foregoing results that the selected climatic variables exhibit significant spatiotemporal and interannual variability.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - Assessing the Long-Term Changes in Selected Meteorological Parameters over the North-Rift, Kenya: A Regional Climatology Perspective

AU  - John Wanjala Makokha
AU  - Nelly Nambande Masayi
AU  - Peter Barasa
AU  - Peters Anselemo Ikoha
AU  - Martha Muthoni Konje
AU  - Jonathan Mutonyi
AU  - Victor Samuel Okello
AU  - Alice Nambiro Wechuli
AU  - Collins Otieno Majengo
AU  - Geoffrey Wanjala Khamala
Y1  - 2024/09/26
PY  - 2024
N1  - https://doi.org/10.11648/j.hyd.20241203.12
DO  - 10.11648/j.hyd.20241203.12
T2  - Hydrology
JF  - Hydrology
JO  - Hydrology
SP  - 59
EP  - 76
PB  - Science Publishing Group
SN  - 2330-7617
UR  - https://doi.org/10.11648/j.hyd.20241203.12
AB  - Understanding long-term trends in climatic variables is essential for assessing climate change impacts on regional ecosystems and human livelihoods. A regional analysis of climatic variables over some domains is inevitable due to their geographical location and importance to the agricultural sector. Due to the aforementioned demands, the current study analyzes, trends in precipitation (from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS)), and minimum and maximum temperatures (from TerraClimate) over the North-Rift region of Kenya for over thirty (30) years using satellite data. The seasonal decomposition analysis was performed for each variable to explore the trends and residual components. The findings by the current study indicate that most counties, have experienced enhance precipitation which corresponds to a declining diurnal temperature from 2019 onwards. The seasonality component reveals repeated patterns or variations occurring at steady intervals within each region's data, hence suggesting a distinct regional seasonal trend in the selected meteorological parameters over time. Basically, all counties have reported a relatively constant variability in both maximum and minimum temperatures during the study period except from 2017 onwards where significant variability in the two properties is recorded. In conclusion, the foregoing results that the selected climatic variables exhibit significant spatiotemporal and interannual variability.

VL  - 12
IS  - 3
ER  -

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