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2. Tropical Africa’s First Testbed for High-Impact Weather Forecasting and Nowcasting

Author

Fletcher, J. K., primary, Diop, C. A., additional, Adefisan, E., additional, Ahiataku, M. A., additional, Ansah, S. O., additional, Birch, C. E., additional, Burns, H. L., additional, Clarke, S. J., additional, Gacheru, J., additional, James, T. D., additional, Tuikong, C. K. Ngetich, additional, Koros, D., additional, Indasi, V. S., additional, Lamptey, B. L., additional, Lawal, K. A., additional, Parker, D. J., additional, Roberts, A. J., additional, Stein, T. H. M., additional, Visman, E., additional, Warner, J., additional, Woodhams, B. J., additional, Youds, L. H., additional, Ajayi, V. O., additional, Bosire, E. N., additional, Cafaro, C., additional, Camara, C. A. T., additional, Chanzu, B., additional, Dione, C., additional, Gitau, W., additional, Groves, D., additional, Groves, J., additional, Hill, P. G., additional, Ishiyaku, I., additional, Klein, C. M., additional, Marsham, J. H., additional, Mutai, B. K., additional, Ndiaye, P. N., additional, Osei, M., additional, Popoola, T. I., additional, Talib, J., additional, Taylor, C. M., additional, and Walker, D., additional

Published
2023
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3. Tropical Africa’s first testbed for high-impact weather forecasting and nowcasting

Author

Fletcher, Jennifer, Diop, C, Adefisan, Elijah, Ahiataku, M, Ansah, S. O., Birch, Cathryn, Burns, H. L., Clarke, S. J., Gacheru, J., James, T. D., Ngetich Tuikong, C. K., Koros, David, Indasi, V. S., Lamptey, Benjamin, Lawal, K. A., Parker, Douglas, Roberts, A. J., Stein, T. H. M., Visman, Emma, Warner, James, Woodhams, Bethany J., Youds, Lorraine H., Ajayi, V. O., Bosire, E. N., Cafaro, Carlo, Camara, C. A. T., Chanzu, B., Dione, C., Gitau, W., Groves, D., Groves, J., Hill, P. G., Ishiyaku, I., Klein, Cornelia, Marsham, J. H., Mutai, B. K., Ndiaye, P. N., Osei, Marian, Popoola, T. I., Talib, Joshua, Taylor, Christopher, Walker, D., Fletcher, Jennifer, Diop, C, Adefisan, Elijah, Ahiataku, M, Ansah, S. O., Birch, Cathryn, Burns, H. L., Clarke, S. J., Gacheru, J., James, T. D., Ngetich Tuikong, C. K., Koros, David, Indasi, V. S., Lamptey, Benjamin, Lawal, K. A., Parker, Douglas, Roberts, A. J., Stein, T. H. M., Visman, Emma, Warner, James, Woodhams, Bethany J., Youds, Lorraine H., Ajayi, V. O., Bosire, E. N., Cafaro, Carlo, Camara, C. A. T., Chanzu, B., Dione, C., Gitau, W., Groves, D., Groves, J., Hill, P. G., Ishiyaku, I., Klein, Cornelia, Marsham, J. H., Mutai, B. K., Ndiaye, P. N., Osei, Marian, Popoola, T. I., Talib, Joshua, Taylor, Christopher, and Walker, D.

Abstract

Testbeds have become integral to advancing the transfer of knowledge and capabilities from research to operational weather forecasting in many parts of the world. The first high-impact weather testbed in tropical Africa was recently carried out through the African SWIFT program, with participation from researchers and forecasters from Senegal, Ghana, Nigeria, Kenya, the United Kingdom, and international and pan-African organizations. The testbed aims were to trial new forecasting and nowcasting products with operational forecasters, to inform future research, and to act as a template for future testbeds in the tropics. The African SWIFT testbed integrated users and researchers throughout the process to facilitate development of impact-based forecasting methods and new research ideas driven both by operations and user input. The new products are primarily satellite-based nowcasting systems and ensemble forecasts at global and regional convection-permitting scales. Neither of these was used operationally in the participating African countries prior to the testbed. The testbed received constructive, positive feedback via intense user interaction including fishery, agriculture, aviation, and electricity sectors. After the testbed, a final set of recommended standard operating procedures for satellite-based nowcasting in tropical Africa have been produced. The testbed brought the attention of funding agencies and organizational directors to the immediate benefit of improved forecasts. Delivering the testbed strengthened the partnership between each country’s participating university and weather forecasting agency and internationally, which is key to ensuring the longevity of the testbed outcomes.

Published
2023

6. Discriminant analysis of growth traits in indigenous, crossbred and exotic turkeys in Nigeria: A review

Author

Oyebanjo, M. O., primary, Komolafe, P. L., additional, Fagbenro, R. B., additional, Ajayi, M. O., additional, Ajayi, V. O., additional, Obi, E. O., additional, David, P. E., additional, Ajao, B. O., additional, Adejumobi, A. J., additional, Okiweli, E. I., additional, Afolayanka, M. A., additional, Balogun, A. O., additional, Badmus, O., additional, Olanrewaju, M., additional, Oke, M. O., additional, and Babayemi, O. J., additional

Published
2022
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8. Evaluation of rainfall simulations over West Africa in dynamically downscaled CMIP5 global circulation models.

Author

Akinsanola, A. A., Ajayi, V. O., Adejare, A. T., Adeyeri, O. E., Gbode, I. E., Ogunjobi, K. O., Nikulin, G., and Abolude, A. T.

Subjects
*GENERAL circulation model, *RAINFALL periodicity, *RAINFALL simulators, *CLIMATOLOGY, *RAINFALL
Abstract

This study presents evaluation of the ability of Rossby Centre Regional Climate Model (RCA4) driven by nine global circulation models (GCMs), to skilfully reproduce the key features of rainfall climatology over West Africa for the period of 1980-2005. The seasonal climatology and annual cycle of the RCA4 simulations were assessed over three homogenous subregions of West Africa (Guinea coast, Savannah, and Sahel) and evaluated using observed precipitation data from the Global Precipitation Climatology Project (GPCP). Furthermore, the model output was evaluated using a wide range of statistical measures. The interseasonal and interannual variability of the RCA4 were further assessed over the subregions and the whole of the West Africa domain. Results indicate that the RCA4 captures the spatial and interseasonal rainfall pattern adequately but exhibits a weak performance over the Guinea coast. Findings from the interannual rainfall variability indicate that the model performance is better over the larger West Africa domain than the subregions. The largest difference across the RCA4 simulated annual rainfall was found in the Sahel. Result from the Mann- Kendall test showed no significant trend for the 1980-2005 period in annual rainfall either in GPCP observation data or in the model simulations over West Africa. In many aspects, the RCA4 simulation driven by the HadGEM2-ES perform best over the region. The use of the multimodel ensemble mean has resulted to the improved representation of rainfall characteristics over the study domain. [ABSTRACT FROM AUTHOR]

Published
2018
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