Possible role of anthropogenic climate change in the record-breaking 2020 Lake Victoria levels and floods
Data sets
Data used in Pietroiusti et al. 2024 ESD https://doi.org/10.5281/zenodo.10793917
Database for Hydrological Time Series over Inland Waters (DAHITI) http://dahiti.dgfi.tum.de
NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR) https://doi.org/10.7289/V51V5BWQ
ISIMIP3b bias-adjusted atmospheric climate input data https://doi.org/10.48364/ISIMIP.842396.1
GISS Surface Temperature Analysis (GISTEMP) https://data.giss.nasa.gov/gistemp/
Dipole Mode Index (DMI) https://psl.noaa.gov/gcos_wgsp/Timeseries/DMI/
Global Land Cover 2000 database (Africa) https://forobs.jrc.ec.europa.eu/glc2000/data
Soil Atlas of Africa and its associated Soil Map (data). https://esdac.jrc.ec.europa.eu/content/soil-map-soil-atlas-africa
Shoreline, Lake Victoria, vector polygon, 2015 https://doi.org/10.7910/DVN/PWFW26
Model code and software
Climate Explorer https://climexp.knmi.nl/
VUB-HYDR/2024_Pietroiusti_etal_ESD: Release of Lake Victoria Python water balance model and analysis scripts (v1.0) https://doi.org/10.5281/zenodo.10794482