Abstract
Climate change is a significant concern impacting food security, agricultural reform, disease transmission, and disruption to human, plant, and animal ecosystems, along with a host of additional consequences, ultimately affecting the quality of life and the livelihoods of the global population. African-based research aims to better understand the impact of climate change on nature and on different aspects of humanity, as well as improve forecasting for greater economic potential. However, researchers often encounter various challenges and obstacles. Here, we conducted a bibliographic analysis and interpretation of relevant climate change peer-reviewed research articles related to the African continent. From this analysis, challenges associated with climate change modelling in Africa were identified. Primarily, the lack of an extensive observational network and technological limitations hinder modelling efforts. Additionally, an apparent pull of scientists away from African institutions to institutions further afield was observed. Novel solutions to these challenges are proffered. Finally, we highlight how the German Deutscher Akademischer Austauschdienst (DAAD) Climate Research for Alumni and Postdocs in Africa (climapAfrica) program is contributing towards resolving these challenges.
Original language | English |
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Article number | 7107 |
Number of pages | 13 |
Journal | Applied Sciences |
Volume | 12 |
Issue number | 14 |
DOIs | |
Publication status | Published - 14 Jul 2022 |
Externally published | Yes |
Bibliographical note
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).Keywords
- climate change modelling
- challenges
- Africa
- solutions
- Climate Research for Alumni and Postdocs in Africa (climapAfrica)
ASJC Scopus subject areas
- Engineering(all)
- Instrumentation
- Materials Science(all)
- Fluid Flow and Transfer Processes
- Process Chemistry and Technology
- Computer Science Applications