{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T16:08:41Z","timestamp":1768147721869,"version":"3.49.0"},"reference-count":0,"publisher":"Koozakar LLC","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["NTST"],"abstract":"<jats:p>The study analyzes long-term rainfall trends, identifies seasonal variability and extreme \nweather events, assesses rainfall anomalies and drought frequency, and compares the \naccuracy of Global Climate Models (GCMs) and Regional Climate Models (RCMs) in \npredicting localized conditions for more reliable regional climate adaptation planning. \nThe study utilized monthly rainfall data from NIMET, categorized into meteorological \nseasons (DJF, MAM, JJA, SON). Descriptive statistics and anomalies were computed \nto analyze long-term rainfall trends. Droughts and extreme rainfall events were \nidentified, and Global Climate Models (GCMs) and Regional Climate Models (RCMs) \nwere compared to observed data. The study revealed a slight annual decrease in rainfall \nof approximately 13.57 mm per year, with a moderate p-value (0.0858) and low R\nsquared (0.0983), indicating high variability. Peak rainfall occurred between May and \nSeptember, while drier months were December and January. Rainfall anomalies \nshowed maximum positive and negative values of 281.02 mm (August 2002) and \n243.29 mm (September 2019), respectively. Extreme rainfall events increased slightly \nby 0.04 per year, with 21 events surpassing the 95th percentile (2002.90 mm). The \nlongest droughts lasted two months, notably from January to February 2016 and 2018. \nRegional Climate Models (RCMs) closely matched observed data, while Global \nClimate Models (GCMs) exhibited greater variability. The study identified increased \nextreme rainfall events and recurring drought periods, emphasizing the need for climate \nadaptation strategies. The study recommends regional climate models (RCMs) for \nfuture planning and implementing Water Sensitive Urban Design (WSUD) to mitigate \nflooding and extreme weather impacts in coastal cities like Port Harcourt.<\/jats:p>","DOI":"10.69798\/71328586","type":"journal-article","created":{"date-parts":[[2025,7,10]],"date-time":"2025-07-10T12:53:44Z","timestamp":1752152024000},"page":"72-81","source":"Crossref","is-referenced-by-count":0,"title":["Climate Extremes in Port Harcourt: Modeling Rainfall Anomalies using GCMs and RCMs."],"prefix":"10.69798","volume":"1","author":[{"name":"Federal University, Otuoke, Nigeria.","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0474-3093","authenticated-orcid":false,"given":"Enyinnaya","family":"Okoro","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Opeminola","family":"Digha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"Federal University, Otuoke, Nigeria.","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"50185","published-online":{"date-parts":[[2025,5,1]]},"container-title":["Nature and Trends in Science and Technology"],"original-title":[],"deposited":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T13:04:38Z","timestamp":1768136678000},"score":1,"resource":{"primary":{"URL":"https:\/\/koozakar.com\/journals\/article\/KJ-26898415"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,1]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,5,1]]}},"URL":"https:\/\/doi.org\/10.69798\/71328586","relation":{},"subject":[],"published":{"date-parts":[[2025,5,1]]}}}