DRY AND WET SPELL MONTHLY FREQUENCY AND SEVERITY IN THE JOS PLATEAU, NIGERIA: INSIGHTS FROM MANN-KENDALL TREND ANALYSIS, HIDDEN MARKOV MODELS, AND CLIMATIC COVARIATE ASSESSMENT (1995–2025)

Understanding how often, how long, and how severe dry and wet spells are is key for managing climate risks, especially for farming and water resources on the Jos Plateau. In this study, we looked at monthly patterns of dry and wet spells over 31 years (1995–2025; 372 months) using several methods. These included classifying spells by monthly percentiles, calculating Dry Spell Severity Index (DSSI) and Wet Spell Severity Index (WSSI) from rainfall data, running Mann-Kendall trend analysis with Sen slope, and applying a four-state Gaussian Hidden Markov Model (HMM) that considered rainfall, temperature, and relative humidity together. Over the study period, there were 68 dry spell events and 63 wet spell events. On average, dry spells lasted 2.53 months, with the longest lasting 7 months (January–July 1995). Wet spells averaged 1.30 months, with a maximum of 3 months. The number of dry spells per year showed a slight downward trend (MK Z = −1.955, p = 0.051; Sen slope = −0.044 month per year), while wet spell frequency stayed about the same (p = 0.773). Mean temperature rose significantly (+0.0163°C per year; p = 0.014), but relative humidity did not change much. DSSI was significantly linked to relative humidity in February (ρ = −0.367, p = 0.043) and April (ρ = −0.368, p = 0.042), and to temperature in March (ρ = −0.362, p = 0.046), showing these climate factors affect spell severity at certain times. The HMM found four main climate states: Dry (33.6% of months), Transitional (10.5%), Wet (19.4%), and Very Wet (36.6%). These states tended to persist from month to month, with self-transition probabilities between 0.57 and 0.89. The Dry State, with almost no rainfall (mean = 0.1 mm) and low humidity (29%), matched 92% of dry spell months, supporting this method. Over the decades, the transitional state has become less common in the last decade (2015–2025), suggesting that moisture patterns are becoming more polarised, likely due to ongoing warming.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-01
DOI
https://doi.org/10.5281/zenodo.22186425
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

DRY AND WET SPELL MONTHLY FREQUENCY AND SEVERITY IN THE JOS PLATEAU, NIGERIA: INSIGHTS FROM MANN-KENDALL TREND ANALYSIS, HIDDEN MARKOV MODELS, AND CLIMATIC COVARIATE ASSESSMENT (1995–2025)

Peace Galadima Yakubu, Dafon Ishaya Chundusu, Eunice Ibrahim Ambore, Lapiya Batat Ibrahim et al.
Zenodo (CERN European Organization for Nuclear Research)
Climate variability and models
article

DRY AND WET SPELL MONTHLY FREQUENCY AND SEVERITY IN THE JOS PLATEAU, NIGERIA: INSIGHTS FROM MANN-KENDALL TREND ANALYSIS, HIDDEN MARKOV MODELS, AND CLIMATIC COVARIATE ASSESSMENT (1995–2025)

Peace Galadima Yakubu, Dafon Ishaya Chundusu, Eunice Ibrahim Ambore, Lapiya Batat Ibrahim, Itse Caleb Kasai, Lucky J. Masok
article en

Abstract

Understanding how often, how long, and how severe dry and wet spells are is key for managing climate risks, especially for farming and water resources on the Jos Plateau. In this study, we looked at monthly patterns of dry and wet spells over 31 years (1995–2025; 372 months) using several methods. These included classifying spells by monthly percentiles, calculating Dry Spell Severity Index (DSSI) and Wet Spell Severity Index (WSSI) from rainfall data, running Mann-Kendall trend analysis with Sen slope, and applying a four-state Gaussian Hidden Markov Model (HMM) that considered rainfall, temperature, and relative humidity together. Over the study period, there were 68 dry spell events and 63 wet spell events. On average, dry spells lasted 2.53 months, with the longest lasting 7 months (January–July 1995). Wet spells averaged 1.30 months, with a maximum of 3 months. The number of dry spells per year showed a slight downward trend (MK Z = −1.955, p = 0.051; Sen slope = −0.044 month per year), while wet spell frequency stayed about the same (p = 0.773). Mean temperature rose significantly (+0.0163°C per year; p = 0.014), but relative humidity did not change much. DSSI was significantly linked to relative humidity in February (ρ = −0.367, p = 0.043) and April (ρ = −0.368, p = 0.042), and to temperature in March (ρ = −0.362, p = 0.046), showing these climate factors affect spell severity at certain times. The HMM found four main climate states: Dry (33.6% of months), Transitional (10.5%), Wet (19.4%), and Very Wet (36.6%). These states tended to persist from month to month, with self-transition probabilities between 0.57 and 0.89. The Dry State, with almost no rainfall (mean = 0.1 mm) and low humidity (29%), matched 92% of dry spell months, supporting this method. Over the decades, the transitional state has become less common in the last decade (2015–2025), suggesting that moisture patterns are becoming more polarised, likely due to ongoing warming.

Zenodo (CERN European Organization for Nuclear Research)
Climate action
Openalex Percentile: Top 13%
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.