Urban Heat: Forward-Looking Climate Modelling for West-Africa: extra indicator

We produced actionable data on heat stress in cities to inform analysis and client dialogue on the part of World Bank teams. We applied an urban-scale climate modeling framework to generate datasets describing modeled heat stress exposure for present-day and future conditions under selected climate scenarios. This dataset serves as a supplement to the previous two datasets: zenodo.org and zenodo.org. It contains an extra indicator Heat Index (HI) based on the apparent temperature (AT) for 12 cities in west Africa.  

More details about the dataset: 

• The dataset includes calculations for HI across three scenarios (present, SSP2-4.5, SSP3-7.0) and three twenty-year periods (2001-2020, 2031-2050, and 2051-2070). The present period refers to 2001-2020, while the other two periods correspond to the two SSP scenarios.
• The indicator is available in both NetCDF and GeoTiff formats. It is named as HIAT in the file name with extra information such as scenario, resolution, projection, etc. 
• The indicator is calculated at a resolution from 100 m to 200 m (depending on the size of the city). Additionally, downscaled versions of the indicator is provided at a resolution of 30 m.
• The Heat Index is calculated as the yearly average number of days when apparent temperature reaches 105 F. More information regarding the definition and calculation of HI can be found: Rohat, G., Flacke, J., Dosio, A., Dao, H., & Van Maarseveen, M. (2019). Projections of human exposure to dangerous heat in African cities under multiple socioeconomic and climate scenarios. Earth's Future, 7(5), 528-546.
• Images for quick viewing in png format are available. 
• The indicators in NetCDF and GeoTiff format as well as the visualized PNG files can be found in the {city}_HIAT.zip (for the cities with future projection) or {city}_present_HIAT.zip (for those cities without future projection).
• More information about other indicators, including the simulation, methodology, all available data list, contact information, etc. can be found in the other two datasets.