Year: 2025
Type: article
Abstract: Rainfall datasets from Uganda National Meteorological Authority (UNMA) for 1981-2017 and two reanaly-sis datasets (Climate Hazards Group Infrared Precipitation with Stations data (CHIRPS) and Tropical Applica-tions of Meteorology using Satellite data (TAMSAT) were used to compute drought and flood tendencies over from 1981 to 2017. Cumulative departure index (CDI), and rainfall anomaly index (RAI), were computed to show drought and flood tendencies in the region. Meanwhile; Dry Days (DD) and Wet Days (WD) were computed based on the definition as a day of the season with rainfall amount less than 1.0 mm and greater than 1.0 mm respec-tively. The CDI graphics indicated below-average rainfall during 1981-1987 and relatively wetter conditions dur-ing 1989-1995 for all stations in the region. Generally, a seasonal rainfall declined over the first 27 years but an in-creasing trend in both MAM (March-April-May) and SOND (September-October-November-December) is observed in most stations during 2006-2017. The highly variable seasonal rainfall in the region is expected to impact the livelihoods of the communities. This study recommends use of tailor-made weather and climate information for planning economic development programs such as agriculture will play a critical role in improving the livelihood of the communities in the region.
Source: Water
DOI: 10.3390/w17071044
Authors: Hassen Babaousmail, Moses A. Ojara
Institutions: Wuxi University, Uganda National Meteorological Authority
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,137
OpenAlex ID: W4409110148