TREND ANALYSIS OF TEMPERATURE AND RAINFALL IN JEMA’A LOCAL GOVERNMENT AREA OF KADUNA STATE, NIGERIA

This study examines long-term trends and variability in rainfall and temperature in Jema’a Local Government Area of Kaduna State, Nigeria, over 56 years (1970–2025). The Mann-Kendall trend test and Theil-Sen slope estimator were used to analyse annual rainfall and maximum and minimum temperature data from the Nigerian Meteorological Agency to determine the direction, magnitude, and significance of climatic changes. The findings indicated a slight increase in annual rainfall (Z = 1.28; Sen’s slope = +5.63 mm/year). Rainfall varies significantly from year to year, with periods of above- and below-average precipitation interspersed with a discernible increase in 2023. Over the study period, maximum temperatures show a slight, statistically insignificant downward trend (Z = -0.67; Sen’s slope = -0.018 °C/year), indicating that daytime temperatures have remained largely constant. In contrast, minimum temperatures show a statistically significant declining trend (Z = −2.87; Sen’s slope = −0.051 °C/year), suggesting that nighttime temperatures are steadily declining. Overall, the findings suggest that climatic variability has a stronger influence on local climate patterns in Jema’a LGA than long-term trends. These changes have important implications for agriculture, water resource management, and environmental sustainability in the area. Continuous climate monitoring and targeted adaptation strategies are therefore essential to support farming communities and enhance resilience to climate variability.

Authors

Publication Details

Journal
FUDMA Journal of Earth and Environmental Sciences
Published
2026-10-16
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TREND ANALYSIS OF TEMPERATURE AND RAINFALL IN JEMA’A LOCAL GOVERNMENT AREA OF KADUNA STATE, NIGERIA

E.D Monday, M.B. Tari, J.D. Ariko
FUDMA Journal of Earth and Environmental Sciences
Climate variability and models
article

TREND ANALYSIS OF TEMPERATURE AND RAINFALL IN JEMA’A LOCAL GOVERNMENT AREA OF KADUNA STATE, NIGERIA

E.D Monday, M.B. Tari, J.D. Ariko
article en

Abstract

This study examines long-term trends and variability in rainfall and temperature in Jema’a Local Government Area of Kaduna State, Nigeria, over 56 years (1970–2025). The Mann-Kendall trend test and Theil-Sen slope estimator were used to analyse annual rainfall and maximum and minimum temperature data from the Nigerian Meteorological Agency to determine the direction, magnitude, and significance of climatic changes. The findings indicated a slight increase in annual rainfall (Z = 1.28; Sen’s slope = +5.63 mm/year). Rainfall varies significantly from year to year, with periods of above- and below-average precipitation interspersed with a discernible increase in 2023. Over the study period, maximum temperatures show a slight, statistically insignificant downward trend (Z = -0.67; Sen’s slope = -0.018 °C/year), indicating that daytime temperatures have remained largely constant. In contrast, minimum temperatures show a statistically significant declining trend (Z = −2.87; Sen’s slope = −0.051 °C/year), suggesting that nighttime temperatures are steadily declining. Overall, the findings suggest that climatic variability has a stronger influence on local climate patterns in Jema’a LGA than long-term trends. These changes have important implications for agriculture, water resource management, and environmental sustainability in the area. Continuous climate monitoring and targeted adaptation strategies are therefore essential to support farming communities and enhance resilience to climate variability.

FUDMA Journal of Earth and Environmental Sciences
Openalex Percentile: Top 16%
Climate variability and models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.