MSc thesis submitted by Moses Duguru

MSc thesis submitted by Moses Duguru

January 5, 2016

MSc_Moses_Duguru_Global_Change_Ecology_orgMoses Duguru, MSc student at the Global Change Ecology study program just handed in his thesis. He worked on climate patterns in West-Central Africa. Global climate has been warming rapidly since the beginning of the 20th century due to the emission of green house gases, inevitably altering the character of local and regional climate systems in the world, particularly the western parts of Africa. The main objective of this study is to analyse trends in 5 precipitation indices, based on daily data from 31 meteorological data stations. The 31 stations from which data was analysed in this study were from Togo, Benin, Ivory Coast, Gabon, Central African Republic and Congo for the time range of 1950-1980. RClimdex software was used to process the magnitude of precipitation while the trend was determined using Mann-Kendalls test at (90%) p < 0.1 significance level. 93% of stations studied showed negative(decreasing) rainfall trends for precipitation total (PRCPTOT), 95th percentile(R95P) and 99th percentile (R99P) rainfall showed 67% and 61.29% of stations with negative trends of precipitation respectively, consecutive dry days(CDD) was positive (increasing) in 61.29% of stations while consecutive wet days (CWD) was negative (decreasing) in 67.74% of the 31 stations. This study shows that the magnitudes of the precipitation was predominantly negative(decreasing) rainfall trends from 1950-1980 in most of the stations, thereby indicating an evidence of coupling effects of a warmer climate and regional precipitation. These precipitation negative trends and magnitude has various effects on society and ecosystems within the scope of climate change in Western Africa.

follow us and share it on:

you may also like:

Setting Up for the 2nd EO4CAM Nutzerworkshop

Setting Up for the 2nd EO4CAM Nutzerworkshop

Right now our staff are busy hauling cases, mounting displays and testing every cable for the 2nd EO4CAM Nutzerworkshop, “Erdbeobachtung für die Klimaanpassung, behördliche Akteure in Bayern”. The doors open tomorrow, and the exhibition...

A dashboard for multi-UAS thermal data

A dashboard for multi-UAS thermal data

Mapping an active fire with various drones flying in parallel is hard enough. But getting the data processed, evaluated and turned into research datasets is a different story. The publication is on its way, and for now we’d like to share a dashboard by Antonio José...

Have you ever wondered how many trees there are on our campus?

Have you ever wondered how many trees there are on our campus?

Sometimes a chat during a formal event like the one for the Urban:Pulse funding celebration, results in something totally different. Following a discussion with the vice-president of our University, we promised to look into the research by one of our PhD students...

Earth Observation at the DFG BETAFOR workshop

Earth Observation at the DFG BETAFOR workshop

Jakob Schwalb-Willmann represented our team at the DFG BETAFOR workshop in the Bavarian Forest National Park. The room was full of biologists, which is the whole point of an interdisciplinary project, and our UAS multisensor time series drew a lot of interest from the...

Thermal Drone Data Acquisitions: CalVal project with Informatics

Thermal Drone Data Acquisitions: CalVal project with Informatics

Thermal cameras on drones look very good - visually. They show us temperature of our study objects be it stressed trees, warm patches in a city or active fires. But we do not yet know for sure how far we can trust the temperature values they deliver especially when...

bzgl. Art. 50 Verordnung (EU) 2024/1689 (AI Act):

Überwiegend werden eigene originäre Texte und Bilder des EORC genutzt, jedoch sind einige Inhalte von blog post Texten teilweise mit Hilfe von KI überarbeitet worden und einige Bilder sind ganz mit KI erstellt, die jedoch deutlich keine photorealistische Darstellungen abbilden. Aussnahmen sind KI generierte fernerkundliche Datensätze, die explizit für Forschungszwecke mit KI erstellt wurden, hier wird aber durch den assoziierten Text der wissenschaftliche Grund der KI generierten Bilder erläutert.

Share This