1. ABOUT THE DATASET -------------------- Title: Estimates of hydro-climatic suitability for malaria transmission in Africa Creator(s): Mark W. Smith [1], Thomas Willis [1], Elizabeth Mroz [1], William H. M. James [1], Megan J. Klaar [1], Simon N. Gosling [2], Christopher J. Thomas [3,4] Organisation(s): [1] School of Geography and Water@Leeds, University of Leeds; Leeds, LS2 9JT, United Kingdom. [2]School of Geography, University of Nottingham; Nottingham, NG7 2RD, United Kingdom. [3] School of Geography and Lincoln Centre for Water and Planetary Health, University of Lincoln; Lincoln, United Kingdom. [4] University of Namibia; Windhoek, Namibia Rights-holder(s):Unless otherwise stated, Copyright 2024 University of Leeds Publication Year: 2024 Description: Hydrologically-based estimates of malaria season length across Africa. Estimates are made with water availability estimated using standard rainfall thresholds and more hydrologically-based estimates (including discharge and potential evaporation processes). Estimates of both malaria transmission season length and the number of months hydrologically-suitable for transmission (i.e. without temperature considerations) are provided separately. Cite as: Mark W. Smith, Thomas Willis, Elizabeth Mroz, William H. M. James, Megan J. Klaar, Simon N. Gosling and Christopher J. Thomas (2024): Estimates of hydro-climatic suitability for malaria transmission in Africa . [Dataset]. https://doi.org/10.5518/1415 Related publication: Future malaria environmental suitability in Africa is sensitive to hydrology. 2024. Science (in revision). Contact: Mark Smith: m.w.smith@leeds.ac.uk 2. TERMS OF USE --------------- Copyright 2024 University of Leeds. 3. PROJECT AND FUNDING INFORMATION ---------------------------------- This dataset was not created in the course of a funded project. EM was supported by the Leeds-York-Hull Natural Environmental Research Council (NERC) Doctoral Training Partnership (Panorama) under Grant NE/S007458/1. 4. CONTENTS ----------- File listing DATA.xlsx - master spreadsheet containing all data behind each figure in Smith et al. (2024) and details of provided tifs. DATA - subfolder holding tif files created with Arc GIS. Season_Length (sub-folder of DATA) - contains rasters (0.5 degree resolution) of malaria transmission season length (SL) across Africa. Hydro-Suit (sub-folder of DATA) - contains rasters (0.5 degree resolution) of number of months per year hydrologically-suitable for malaria transmission across Africa (i.e. without thermal considerations). Both sub-folders contain data for Three RCPs (RCP 2.6, RCP 6.0 and RCP 8.5) for future time periods or historical data (HIST) for the earliest time period Five time periods (1986-2005, 2006-2025, 2026-2050, 2051-2075, 2076-2100) Two hydrological representations (precipitation PR or discharge with a precipitation:potential evapotranspiration ratio applied Q_PE). See Materials and Methods for details. File name structure is "RCP_time-period_data_hydrology.tif" e.g. RCP26_2026_2050_SL_PR.tif is the 'Season Length' (SL) data calculated with precipitation for hydrology (PR) over the 2026-2050 time period under the RCP2.6 scenario. Codes NetCDFSorter_v4_TAS Python code for computing monthly surface temperature over Africa from ISIMIP NetCDF temperature (TAS) data NetCDFSorter_v4_PR Python code for computing monthly precipitation over Africa from ISIMIP NetCDF precipitation data NetCDFSorter_v4_POTEVAP Python code for computing monthly ratios of precipitation to potential evapotranspiration over Africafrom ISIMIP NetCDF data NetCDFSorter_v5_DIS Python code for computing number of days per month hydrologically suitable for malaria from ISIMIP NetCDF discharge data Q_thresh List of discharge thresholds to be used over the latitude range of Africa (matches fcropped area in python codes) for input into NetCDFSorter_v5_DIS.py 5. METHODS ---------- Please refer to the Materials and Methods section of the below publication for full details. Smith, M.W. et al. Future malaria environmental suitability in Africa is sensitive to hydrology. 2024. Science (in revision).