Urban Heat: Forward-Looking Climate Modelling for West-Africa: Guinea cities

<p>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. The study focuses on two cities in Guinea: Conakry and Kankan.</p> <p>More details about the dataset:&nbsp;</p> <ul> <li>The dataset includes calculations for each indicator across three scenarios (<strong>present, SSP2-4.5, SSP3-7.0</strong>) and three twenty-year periods (<strong>2001-2020, 2031-2050, and 2051-2070</strong>). The present period refers to 2001-2020, while the other two periods correspond to the two SSP scenarios.</li> <li>All indicators are available in both&nbsp;<strong>NetCDF</strong>&nbsp;and&nbsp;<strong>GeoTiff</strong>&nbsp;formats.</li> <li>The indicators are calculated at a resolution of&nbsp;<strong>100 m </strong>(Kankan) and <strong>200 m </strong>(Conakry), consistent with the UrbClim and WBGT simulations. Additionally, downscaled versions of the indicators are provided at a resolution of&nbsp;<strong>30 m</strong>.</li> <li>The UrbClim and WBGT simulations, as well as the postprocessing, are conducted using the regional projection&nbsp;<strong>E</strong><strong>PSG 32629 </strong>(Kankan) and&nbsp;<strong>EPSG 32628 </strong>(Conakry). The NetCDF and GeoTiff data also adopt this projection. Furthermore, a GeoTiff data file with&nbsp;<strong>EPSG 4326</strong>&nbsp;projection is included.</li> <li>All indicators are calculated as&nbsp;<strong>yearly averages</strong>.&nbsp;</li> <li>Images for&nbsp;<strong>quick viewing</strong>&nbsp;<strong>in</strong>&nbsp;<strong>png</strong>&nbsp;format visualizing the results for each indicator.&nbsp;</li> <li>The indicators in NetCDF and GeoTiff format as well as the visualized PNG files can be found in the&nbsp;<strong>{city}_indicators.zip</strong>.</li> <li>Three representative locations within the study domain have been selected to retrieve the WBGT profile on a chosen date (a hot day in 2020). The results are stored in WBGT_data.xlsx and visualized as WBGT_{date}.png. The shapefile is named as selected_locations.shp. These data together with the visualization of the land use map is compressed in&nbsp;<strong>{city}_landuse_wbgt.zip</strong>.&nbsp;</li> <li>More information about the dataset, including the methodology, all available data list, contact information, etc. can be found in the <strong>Technical_description_Guinea.docx</strong></li> </ul>