Menu Close
The Conversation

Kamoru Abiodun Lawal

1

Article

0

Comments
Postdoctoral Research Fellow in Atmospheric Science, University of Cape Town

Dr Kamoru Abiodun LAWAL is an atmospheric scientist that has been exposed, for over 25 years, to both theoretical and practical algorithms of the African climate dynamics. He is skillful and competent in computer programming languages and scripting in a UNIX environment, vis-à-vis the ability to handle large climate (model) dataset in all formats. Lawal has held series of top management positions in the Nigerian Meteorological Agency before joining the African Centre of Meteorological Application for Development (ACMAD), Niamey-Plateau, Niger Republic as a Climate Change Thematic Expert for the GFCS Intra ACP Climate Services and Related Application (ClimSA). His research interest ranges from e.g. socio-economic applications of seasonal climate prediction, to synoptic / computational meteorology, potential impacts of climate change and numerical weather prediction. Hence, he has undertaken research either solely or in collaboration with other scientists, right from conceptualization of ideas to publications. Lawal completed both his PhD program in Atmospheric Science and Post-Doctoral Research Fellowship at the University of Cape Town, South Africa, after completing Bachelor and Master degrees in Meteorology and Climate Science at the Federal University of Technology, Akure, Nigeria.

Experience

  • –present
    Postdoctoral Research Fellow in Atmospheric Science, University of Cape Town

Education

  • 2015 
    University of Cape Town, PhD / Atmospheric Science

Publications

  • 2021
    GCRF African SWIFT White Paper Policy Brief. Exploiting Sub-seasonal Forecast Predictability in Africa: a key to sustainable development, https://doi.org/10.5518/100/72
  • 2021
    Advances in the application and utility of subseasonal-to-seasonal predictions. Bulletin of the American Meteorological Society, https://journals.ametsoc.org/view/journals/bams/aop/bams-d-20.0224.1/bams-d-20-0224.1.xml
  • 2021
    Using co-production to improve the appropriate use of sub-seasonal forecasts in Africa, https://doi.org/10.1016/j.cliser.2021.100246
  • 2021
    The African SWIFT project: growing science capability to bring about a revolution in weather prediction, https://doi.org/10.1175/BAMS-D-20-0047.1
  • 2021
    Nowcasting for Africa: advances, potential and value. Weather, https://doi.org/10.1002/wea.3936
  • 2021
    Progress and challenges of demand-led co-produced subseasonal-to-seasonal (S2S) climate forecasts in Nigeria, https://www.frontiersin.org/articles/10.3389/fclim.2021.712502/full
  • 2021
    The future of African nowcasting, https://doi.org/10.5518/100/68
  • 2021
    State of the Climate in Africa 2020., https://library.wmo.int/index.php?lvl=notice_display&id=21973#.YYjowxwo_IU
  • 2020
    Exploring the Need for Developing Impact-Based Forecasting in West Africa., https://doi.org/10.3389/fclim.2020.565500
  • 2020
    Impact of Moisture Flux and Vertical Wind Shear on Forecasting Extreme Rainfall Events in Nigeria. In: Leal Filho W, Ogugu N, Adelake L, Ayal D, da Silva I. (eds) African Handbook of Climate Change Adaptation, https://doi.org/10.1007/978-3-030-42091-8_98-1
  • 2019
    The influence of global climate drivers on monsoon onset variability in Nigeria using S2S models, https://doi.org/10.1007/s40808-019-00606-x
  • 2019
    On the Co-variability between Climate Indices and the Potential Spread of Seasonal Climate Simulations over South African Provinces, https://doi.org/10.4236/acs.2019.93027
  • 2019
    Capability of CAM5.1 in simulating maximum air temperature anomaly patterns over West Africa during boreal spring, https://doi.org/10.1007/s40808-019-00639-2
  • 2019
    Identifying user needs for weather and climate services to enhance resilience to climate shocks in sub-Saharan Africa, https://doi.org/10.1088/1748-9326/ab4dfe
  • 2018
    Potential impact of 1.5°C and 2°C warming on extreme rainfall over West Africa, https://doi.org/10.1088/1748-9326/aab37b
  • 2017
    Evaluation of the ECMWF Sub-seasonal to Seasonal Precipitation Forecasts During the Peak of West Africa Monsoon in Nigeria, https://doi.org/10.3389/fenvs.2018.00004
  • 2016
    Trends in extreme temperature over Nigeria from percentile-based threshold indices, https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/joc.4510
  • 2016
    The Late Onset of the 2015 Wet Season in Nigeria, https://journals.ametsoc.org/doi/10.1175/BAMS-D-16-0131.1
  • 2015
    Understanding the Variability and Predictability of Seasonal Climates over West and Southern Africa using Climate Models, https://open.uct.ac.za/handle/11427/16556
  • 2015
    Simulating the Daily Evolution of West African Monsoon Using High Resolution Regional Cosmo-model: A Case Study of the First Half of 2015 over Nigeria, DOI:10.4172/2332-2594.1000142
  • 2015
    Predictability and Attribution of the South African Seasonal Climate, http://www.wrc.org.za/mdocuments-library/?_sft_document_type=research-report&sf_paged=21
  • 2015
    Trends in the Potential Spread of Seasonal Climate Simulations over South Africa, https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/joc.4234
  • 2012
    Potential Influences of Global Warming on Future Climate and Extreme Events in Nigeria, https://link.springer.com/article/10.1007/s10113-012-0381-7