Published March 7, 2024
| Version v3
Dataset
Open
Data used in Pietroiusti et al. 2024 ESD
Creators
- 1. Vrije Universiteit Brussel, Department of Hydrology and Hydraulic Engineering, Belgium
- 2. Wyss Academy for Nature, University of Bern, Bern, Switzerland
- 3. Grantham Institute, Imperial College London, London, UK
- 4. Oxford Sustainable Law Programme, University of Oxford, Oxford, UK
- 5. Uganda Electricity Generation Company Limited - UEGCL, P.O. Box 75831, Kampala, Uganda
- 6. European Space Agency (ESRIN), Frascati, Italy
- 7. Department of Earth and Environmental Sciences, KU Leuven, Leuven, Belgium
Description
Data used in Pietroiusti et al. 2024 (accepted; https://doi.org/10.5194/egusphere-2023-1827), for the water balance model and analysis. Publicly available netcdf data used in the analysis is not included in this repository, but links to the datasets are detailed in the manuscript.
lakevic-eea-analysis contains:
IODtimeseries from NOAAgmst-models: GMST time series from ISIMIP3b bias-adjusted CMIP6 data from ISIMIPgmst-obs: GMST time series from GISTEMPlakelevels: lake levels from DAHITI and in situ measurements from Vanderkelen et al. 2018, HESS
lakevic-eea-wbm contains:
evapevaporation data from Vanderkelen et al. 2018, originally from Thiery et al. 2015CNinformation on soil classes and land cover from Vanderkelen et al. 2018, originally from JRC and Dewitte et al. 2013shapefilesof basin and lake from Vanderkelen et al. 2018 and Harvard dataverseoutflowwhich is a combination of data from Vanderkelen et al. 2018 and new in situ data.outputof the water balance model simulations used in the paper.
Files
lakevic-eea-data-zenodo.zip
Files
(148.8 MB)
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Additional details
Software
- Repository URL
- https://github.com/VUB-HYDR/2024_Pietroiusti_etal_ESD
References
- Technical University Munich: Database for Hydrological Time Series over Inland Waters (DAHITI) http://dahiti.dgfi.tum.de. [data set, access date 07/03/2022]
- Stefan Lange, Matthias Büchner (2021): ISIMIP3b bias-adjusted atmospheric climate input data (v1.1). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.842396.1 [data set, access date 08/05/2021]
- GISTEMP Team, 2024: GISS Surface Temperature Analysis (GISTEMP), version 4. NASA Goddard Institute for Space Studies. https://data.giss.nasa.gov/gistemp/. [data set, accessed 14/09/2021]
- Global Climate Observing System Working Group on Surface Pressure, 2024: Dipole Mode Index (DMI). NOAA Physical Sciences Laboratory. https://psl.noaa.gov/gcos_wgsp/Timeseries/DMI/. [data set, accessed 07/03/2022]
- Vanderkelen, I., van Lipzig, N. P. M., and Thiery, W.: Modelling the water balance of Lake Victoria (East Africa) – Part 1: Observational analysis, Hydrol. Hydrol. Earth Syst. Sci., 22, 5509–5525, 2018. https://doi.org/10.5194/hess-22-5509-2018. And associated GitHub repository: https://github.com/VUB-HYDR/2018_Vanderkelen_etal_HESS_ab
- Thiery, W., Davin, E. L., Panitz, H. J., Demuzere, M., Lhermitte, S., and Van Lipzig, N.: The Impact of the African Great Lakes on the Regional Climate, J. Clim., 28, 4061–4085, https://doi.org/10.1175/JCLI-D-14-00565.1, 2015.
- Joint Research Centre, 2003: Global Land Cover 2000 database (Africa). European Commission. https://forobs.jrc.ec.europa.eu/glc2000/data [data set, last access 08/05/2018]
- JRC European Soil Data Center (ESDAC), 2013: Soil Atlas of Africa and its associated Soil Map (data). European Commission. https://esdac.jrc.ec.europa.eu/content/soil-map-soil-atlas-africa [data set, last access 08/05/2018]
- Hamilton, S. (2016): Shoreline, Lake Victoria, vector polygon, ~2015 . Harvard Dataverse. https://doi.org/10.7910/DVN/PWFW26. [dataset, last access 07/03/2024]