|Workshop, August 5-6, 2011, Boulder,Colorado|
Oluseun S. IDOWU
1. Please describe your research and education activities and their broader impacts. Highlight the cyber infrastructure tools, scientific instruments, computing needs, data networking requirements and related CI resources required and utilized in your work. Please feel free to also mention partner organizations and/or collaborators.
I am a third year doctoral student at University of Missouri – Kansas City in the interdisciplinary doctoral program (Geosciences and Statistics as co-discipline). I passed my doctoral comprehensive exam and have advanced to candidacy with ABD status. Before coming to the United States for PhD studies, I worked at the Nigerian Meteorological Agency (NIMET) for more than 10 years as a desk forecaster and a national TV weather presenter. While at NIMET, I used multiple numerical weather prediction (NWP) products to issue weather forecasts and advisories. I have also trained on regional weather predictability and modelling at the International Centre for Theoretical Physics, Italy. I hold an MS degree in Meteorology from the University of Pretoria, South Africa. The United Nations World Meteorological Organization and the British Meteorological Office jointly funded my MS research as part of their contributions to improve weather forecasting across Africa. My doctoral research examines more closely the dynamics of Sahelian dust particles and their roles in inter-annual variability of precipitation regimes. This study will contribute to the understanding of formal representation of aerosol interactions with convective cloud processes in climate models, especially across West Africa.
- Cyber infrastructure tools - I work closely with scientists in Africa and my collaborators (such as, those in African universities, African Met services, Agricultural Research Institutions, etc.) requires reliable and fast Internet connectivity, improved data storage and data sharing capabilities. Archived data should be easily and readily retrievable. Portable and sustainable near real time data transmission facilities will also go a long way in helping meteorological forecast operations across Africa
2. From your perspective, describe the most significant obstacles that limit your teaching and research collaborations in terms of hardware, software, network access, problems with data standards and data sharing mechanisms, training needs, sustainable funding and any other issues that need to be addressed and resolved to enable enhanced CI in support of your work.
- Problems with standardized data collection, data storage, and data retrieval
- Problems with data sharing – if a unified data repository can be developed that will allow scientists free access to data
- Unreliable Internet connectivity and Infrastructure
- There are lots of efforts across Africa to develop data storage and data transfer capabilities, but there are lots of struggle with getting dependable and reliable expertise to sustainably handle the projects.