Funding and Awards/Publications

First-authored: 19 | Total published: 37 | Citations: 1,134 | h-index: 20 | i10-index: 28

Funding

  • Co-Investigator - Integrating High Resolution Climate Data and Deep Learning to Improve Natural Resource Management.

Agency: Argonne National Laboratory/LDRD

Status: Active

Period: 2022/07–2022/09

Funding: $98,000

  • Collaborator - Investigating Global Warming and Future Urbanization Impacts on Heat Stress in Lagos Nigeria & the Greater Bay Area China Megacities: A Multi-Scale Modeling Approach.

Status: Active

Period: 2022/02–2023/02

Funding: £10,000

  • Co-Investigator - Translating climate extreme event projections into grid planning models: Role of long duration energy storage in optimizing cost-reliability tradeoffs under power system uncertainty.

Agency: Argonne National Laboratory/LDRD

Status: Active

Period: 2021/10–2023/09

Funding: $480,000

  • Funded Collaborator - New York Power Authority Climate Risk, Resilience and Adaptation Planning.

Agency: New York Power Authority

Status: Active

Period: 2021/03–2023/10

Funding: $825,000

Awards

2022: Argonne National Laboratory Impact Award

2018: Chow Yei Ching School of Graduate Studies Scholarship, City University of Hong Kong

2018: Outstanding Academic Performance Award, City University of Hong Kong

2017: Outstanding Academic Performance Award, City University of Hong Kong

2016: Research Tuition Scholarship, City University of Hong Kong

2012: Award of Excellence, National Youth Service Corp (NYSC)


Research Articles

2022

34. Kooperman GJ, Akinsanola AA, Hannah WM, Pendergrass AG, and Reed KA (2022) Assessing two approaches for enhancing the range of simulated scales in the E3SMv1 and the impact on the character of hourly US precipitation. Geophysical Research Letters. https://doi.org/10.1029/2021GL096717

2021

33. Faye A and Akinsanola AA (2021) Evaluation of extreme precipitation indices over West Africa in CMIP6 models. Clim Dyn. https://doi.org/10.1007/s00382-021-05942-2

32. Hyacinth CN, Victor ND, Akinsanola AA and Ugochukwu, KO (2021) Leading patterns of the satellite-era summer precipitation over West Africa and global associated teleconnections. Atmos. Res. 259,105677. https://doi.org/10.1016/j.atmosres.2021.105677

31. Akinsanola AA, Ogunjobi KO, Abolude AT and Salack S (2021) Projected changes in wind speed and wind energy potential over West Africa in CMIP6 models. Environ. Res. Lett. 16 044033

30. Akinsanola AA, Ongoma V and Kooperman GJ (2021) Evaluation of CMIP6 models in simulating the statistics of extreme precipitation over Eastern Africa. Atmos. Res. 254,105509. https://doi.org/10.1016/j.atmosres.2021.105509

2020

29. Akinsanola AA, Kooperman GJ, Reed KA, Pendergrass AG and Hannah WM (2020) Projected changes in seasonal precipitation extremes over the United States in CMIP6 simulations. Environ. Res. Lett. 15 104078. https://doi.org/10.1088/17489326/abb397

28. Monrie PA, Wainwright CM, Sidibe M, and Akinsanola AA (2020) Model uncertainties in climate change impacts on Sahel precipitation in ensembles of CMIP5 and CMIP6 simulations. Clim Dyn. https://doi.org/10.1007/s00382-020- 05332-0

27. Akinsanola AA, Kooperman GJ, Pendergrass AG, Hannah WM, and Reed KA (2020) Seasonal representation of extreme precipitation indices over the United States in CMIP6 present-day simulations. Environ. Res. Lett. 15 094003. https://doi.org/10.1088/17489326/ab92c1

26. Akinsanola AA, W. Zhou, T. Zhou and N. Keenlyside (2020) Amplification of synoptic to annual variability of West African summer monsoon rainfall under global warming. npj Clim Atmos Sci 3,21. https://doi.org/10.1038/s41612-020- 0125-1

25. Akinsanola AA and W. Zhou (2020) Understanding the variability of West African summer monsoon rainfall: contrasting tropospheric features and monsoon index. Atmosphere, 11(3), 309. https://doi.org/10.3390/atmos11030309

24. Abolude AT, Zhou W, Akinsanola AA (2020) Evaluation and Projections of Wind Power Resources over China for the Energy Industry Using CMIP5 Models. Energies, 13 (10), 2417. https://doi.org/10.3390/en13102417

2019

23. Orimoloye IR, Ololade OO, Mazinyo SP, Kalumba AM, Ekundayo OY, Busayo ET, Akinsanola AA and Nel W (2019) Spatial assessment of drought severity in Cape Town area, South Africa. Heliyon, 5, e02148 https://doi.org/10.1016/j.heliyon.2019.e02148

22. Gbode IE, Adeyeri OE, Menang KP, Intsiful JDK, Ajayi VO, Omotosho JA and Akinsanola AA (2019) Observed changes in climate extremes in Nigeria. Meteorological Applications. https://doi.org/10.1002/met.1791

21. Akinsanola AA and W. Zhou (2019) Projection of West African summer monsoon rainfall in dynamically downscaled CMIP5 models. Clim Dyn 53, 81–95. https://doi.org/10.1007/s00382-018-4568-6

20. Akinsanola AA and W. Zhou (2019) Dynamic and thermodynamic factors controlling increasing summer monsoon rainfall over the West African Sahel. Clim Dyn 52, 4501–4514. https://doi.org/10.1007/s00382-018-4394-x

19. Akinsanola AA and W. Zhou (2019) Ensemble-based CMIP5 simulations of West 5 African summer monsoon rainfall: current climate and future changes. Theor Appl Climatol 136, 1021–1031. https://doi.org/10.1007/s00704-018-2516-3

18. Akinsanola AA and W. Zhou (2019) Projected changes in West Africa summer monsoon rainfall extremes from two CORDEX models. Clim Dyn 52, 2017–2028. https://doi.org/10.1007/s00382-018-4238-8

2018

17. Akinsanola AA, Ajayi VO, Adejare AT, Adeyeri OE, Gbode IE, Ogunjobi KO, Nikulin G and Abolude AT (2018). Evaluation of rainfall simulations over West Africa in dynamically downscaled CMIP5 global circulation models. Theor Appl Climatol 132, 437–450. https://doi.org/10.1007/s00704-017-2087-8

16.Morakinyo TE, Ogungbenro SB, Abolude AT and Akinsanola AA (2018) Quantifying the effect of rain events on outdoor thermal comfort in a high-density city, Hong Kong. Int J Biometeorol. https://doi.org/10.1007/s00484-018-1634-z

15.Ogunjobi KO, Y Adamu, Akinsanola AA and IR Orimoloye (2018) Spatio- temporal analysis of land use dynamics and its potential indications on land surface temperature in Sokoto Metropolis, Nigeria. R. Soc. open sci. 5:180661 http://doi.org/10.1098/rsos.180661

14. Ogunjobi KO, Daramola MT and Akinsanola AA (2018) Estimation of surface energy fluxes from remotely sensed data over Akure, Nigeria. Spat. Inf. Res. 26: 77-89. https://doi.org/10.1007/s41324-017-0149-8

13. Odulami RC and Akinsanola AA (2018). Recent Assessment of West African Summer Monsoon Daily Rainfall Trends. Weather, 73: 283-287. doi:10.1002/wea.2965

2017

12. Adeyeri OE, Akinsanola AA and Ishola KA (2017) Investigating surface urban heat island characteristics over Abuja, Nigeria: Relationship between land surface temperature and multiple vegetation indices. Remote Sensing Applications: Society and Environment. doi.org/10.1016/j.rsase.2017.06.005

11. Akinsanola AA and Ogunjobi KO (2017) Evaluation of present-day rainfall simulations over West Africa in CORDEX regional climate models. Environ Earth Sci 76, 366. https://doi.org/10.1007/s12665-017-6691-9

10. Raji KB, Ogunjobi KO and Akinsanola AA (2017). Radiative effects of dust aerosol on West African climate using simulations from RegCM4. Model. Earth Syst. Environ. 3, 34. https://doi.org/10.1007/s40808-017-0295-y

9. Akinsanola AA, Ogunjobi KO, Abolude AT, Sarris SCC and Oladipo KO (2017) Assessment of Wind Energy Potential for Small Communities in South-South Nigeria: Case Study of Koluama, Bayelsa State. J Fundam Renewable Energy Appl 7: 227. doi:10.4172/20904541.1000227

8. Akinsanola AA, Ogunjobi KO, Ajayi, VO, Adefisan EA, Omotosho JA and Sanogo S (2017). Comparison of five gridded precipitation products at climatological scales over West Africa. Meteorol Atmos Phys 129, 669–689. https://doi.org/10.1007/s00703-016-0493-6

2016

7. Babalola OS and Akinsanola AA (2016). Change Detection in Land Surface Temperature and Land Use Land Cover over Lagos Metropolis, Nigeria. J. Remote Sensing & GIS 5: 171. doi:10.4172/2469-4134.1000171

6. Akinsanola AA and Aroninuola BA (2016). Diagnostic Evaluation of September 29, 2012 Heavy Rainfall Event over Nigeria. Journal of Climatology & Weather Forecasting 4: 155. doi:10.4172/2332-2594.1000155

5. Akinsanola AA and Ogunjobi KO (2016). Recent Homogeneity Analysis and Long Term Spatio-temporal Rainfall Trends in Nigeria. Theor Appl Climatol 128, 275– 289. https://doi.org/10.1007/s00704-015-1701-x

2015

4. Akinsanola AA Ogunjobi KO, Gbode IE and Ajayi VO (2015). Assessing the Capabilities of three Regional Climate Models over CORDEX Africa in Simulating West African Summer Monsoon Precipitation. Advances in Meteorology, Vol. 2015, Article ID 935431, 13pages. doi:10.1155/2015/935431

3. Gbode IE, Akinsanola AA and Ajayi VO (2015). Recent Changes of Some Observed Climate Extreme Events in Kano. International Journal of Atmospheric Sciences, Vol. 2015, Article ID 298046, 6pages, 2015. doi:10.1155/2015/298046

2014

2. Akinsanola AA and Ogunjobi KO (2014). Analysis of Rainfall and Temperature Variability over Nigeria. Global Journal of Human Social Science Geography & Environmental Geosciences, Volume 14 issue 3 Version 1.0 year 2014, pages 10-28

2012

1. Oluleye A, Ogunjobi KO, Bernard A, Ajayi VO, and Akinsanola AA (2012). Multiyear Analysis of Ground-Based Sunphotometer (AERONET) Aerosol Optical Properties and Its Comparison with Satellite Observations over West Africa. Global Journal of Human Social Science Geography & Environmental Geosciences Volume 12 Issue 10 Version 1.0 year 2012, pages 1-19

Book Chapters

  1. Chapter 4: Gbode IE, Intsiful JD, Akinsanola AA, Abolude AT, and Ogunjobi KO (2022) Uncertainties in daily rainfall over West Africa: Assessment of gridded products and station gauges. In Ongoma V and Tabari H, Climate Impacts on Extreme Weather. https://doi.org/10.1016/B978-0-323-88456-3.00010-1

  2. Chapter 7: Akinsanola AA and Kooperman GJ (2022) Intensification of precipitation extremes in the United States under global warming. In Ongoma V and Tabari H, Climate Impacts on Extreme Weather. https://doi.org/10.1016/B978-0-323-88456-3.00010-1

  3. Keenlyside NS, Kushnir Y, Akinsanola AA, et al (2021) Long-term climate change and impacts. Scientific Drivers for the Tropical Atlantic Observing Systems. In book: Tropical Atlantic Observing System (TAOS) Review Report. CLIVAR-01/2021