Spatial and Temporal Characteristics of Wet and Dry Spells During the Kiremt Season Over Ethiopia

The understanding of changes of rainfall patterns and climate extremes are crucial factors for addressing agricultural risks and sustaining water resources in Ethiopia. This study aims to investigate baseline rainfall climatology (1991-2020) and long-term spatiotemporal changes (1981-2022) of Kiremt seasonal rainfall totals (PRCPTOT) and selected ETCCDI-based rainfall indices across Ethiopia. The daily rainfall was analyzed using the Mann-Kendall test and Sen’s slope estimator to examine changes of wet and dry spell frequencies (NWS and NDS), spell durations (MWSL and MDSL) and total wet and dry days (TWD and TDD) from gridded and gauge-based datasets. The baseline climatology reveals a clear rainfall gradient with seasonal totals over 800 mm and more than 80 wet days in western highlands, while less than 400 mm and maximum dry spells over 80 days observed in the eastern lowlands. Kiremt rainfall significantly increased at a national scale by 2.56 mm/year (p = 0.004), specifically the central, western and northern highlands. However, the wet- and dry-spell frequencies increased while the maximum wet-spell duration showed no consistent trend while the total wet days declined recently. These changes suggest greater intra-seasonal rainfall variability with concentrated rainfall and frequent dry spells influencing risks of soil erosion, runoff, and water stress and crop yields. Therefore, it requires soil-moisture conservation, rainwater harvesting and climate-smart agricultural practices.

Authors

Publication Details

Journal
Science Discovery Environment
Published
2026-10-26
DOI
https://doi.org/10.11648/j.sdenv.20260104.11
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

Spatial and Temporal Characteristics of Wet and Dry Spells During the Kiremt Season Over Ethiopia

Samrawit Angasso, Habtam Wassie
Science Discovery Environment
Climate variability and models
article

Spatial and Temporal Characteristics of Wet and Dry Spells During the Kiremt Season Over Ethiopia

Samrawit Angasso, Habtam Wassie
article en

Abstract

The understanding of changes of rainfall patterns and climate extremes are crucial factors for addressing agricultural risks and sustaining water resources in Ethiopia. This study aims to investigate baseline rainfall climatology (1991-2020) and long-term spatiotemporal changes (1981-2022) of Kiremt seasonal rainfall totals (PRCPTOT) and selected ETCCDI-based rainfall indices across Ethiopia. The daily rainfall was analyzed using the Mann-Kendall test and Sen’s slope estimator to examine changes of wet and dry spell frequencies (NWS and NDS), spell durations (MWSL and MDSL) and total wet and dry days (TWD and TDD) from gridded and gauge-based datasets. The baseline climatology reveals a clear rainfall gradient with seasonal totals over 800 mm and more than 80 wet days in western highlands, while less than 400 mm and maximum dry spells over 80 days observed in the eastern lowlands. Kiremt rainfall significantly increased at a national scale by 2.56 mm/year (p = 0.004), specifically the central, western and northern highlands. However, the wet- and dry-spell frequencies increased while the maximum wet-spell duration showed no consistent trend while the total wet days declined recently. These changes suggest greater intra-seasonal rainfall variability with concentrated rainfall and frequent dry spells influencing risks of soil erosion, runoff, and water stress and crop yields. Therefore, it requires soil-moisture conservation, rainwater harvesting and climate-smart agricultural practices.

Science Discovery EnvironmentVol. 1(4)
Openalex Percentile: Top 17%
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.

Laika access coming soon