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International Journal of Geography and Geology

April 2019, Volume 8, 4, pp 110-127

Assessing Spatial and Temporal Precipitation Dynamics in Upper East Region of Ghana Using Chirps Data from 1981 to 2016

Thomas Moore Okrah

,

J. A. Quaye-Ballard

,

S. A. Andam-Akorful

,

Ibrahim Abdul Sulemana

Thomas Moore Okrah 1 ,

J. A. Quaye-Ballard 1 S. A. Andam-Akorful 1 Ibrahim Abdul Sulemana 4

  1. Department of Geomatic Engineering, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana. 1

  2. Pan African University Institute of Earth and Life Science Including Agriculture (PAULESI), University of Ibadan, Nigeria. 4

Pages: 110-127

DOI: 10.18488/journal.10.2019.84.110.127

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Article History:

Received: 13 August, 2019
Revised: 17 September, 2019
Accepted: 21 October, 2019
Published: 09 December, 2019


Abstract:

Precipitation variability evaluation assumes a vital part in water asset administration and rainfed agribusiness. In Ghana, rain gauge stations are poorly distributed and also, obtaining long time span of data is difficult due to data inconsistency, as a result remotely sensed precipitation products are largely used to complement ground gauge stations data for assessing climatic variability and water resource managements. In this study, Climate Hazards Group Infrared Precipitation with Station (CHIRPS) precipitation data from 1981-2016 and also utilizing Cumulative Residual Analysis (CRA), Mann-Kendall, Sen's Slope, Wavelet Transform (WT) and Principal Component Analysis (PCA). Results show that 1981, 1999, 2002 and 2013 were four noteworthy years with changes in precipitation. The Mann-Kendal and Sen's Slope demonstrate that 55.71% of UER indicated diminishing month to month precipitation with 27.34% critical patterns. Precipitation in April, May, and June demonstrated a diminishing pattern while July, August, and September showed an increasing trend during the 35 years’ study period. Further investigation using Continuous Wavelet Transform indicated an annual variation significant. PCA uncovered that the spatial variability of precipitation in UER is extremely assorted, however greater part (33.76%) of the fluctuation is situated in the north-eastern part. Thus, the results from remotely sensed precipitation products an effective, efficient and cheap way of assessing top to the bottom comprehension of precipitation variation at regional level.
Contribution/ Originality
This study is one of very few studies which have investigated in the study area which applied new methods such as Cumulative residual analysis (CRA), Mann-Kendall and Sen’s Slope tests, Wavelet transform (WT), Principal component analysis (PCA) on remotely sensed precipitation data to assess both spatial and temporal variability.

Keywords:

Cumulative residual analysis (CRA), Mann-Kendall and Sen’s Slope tests, Wavelet transform (WT), Principal component analysis (PCA), Remote sensing, Ghana, CHIRPS data.

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Funding:

This study received no specific financial support.

Competing Interests:

The authors declare that they have no competing interests.

Acknowledgement:

All authors contributed equally to the conception and design of the study.

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