# Sectoral water use responses to droughts and heatwaves
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## About
The datasets here ensure the reproducibility of the calculations and analysis of
sectoral water use responses during droughts and heatwaves, including download
links of the sectoral water use datasets, input datasets and final results.
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## Content
- inputs
- gsim-grdc_discharges.csv
- datasets_global-scale_aquastat.csv
- datasets_country-scale_usgs.csv
- datasets_country-scale_useia.xlsx
- datasets_local-scale.xlsx
- shp/aquastat_countries_30arcmin.shp
- shp/usgs_counties_30arcmin.shp
- dhe
- heatwaves_W5E5_30arcmin_monthly_1990-2010_p=90%.nc
- heatwaves_W5E5_30arcmin_monthly_1990-2019_p=90%.nc
- droughts_GSIM-GRDC_30arcmin_monthly_1990-2010_p=20%_gaps=25%.nc
- droughts_GSIM-GRDC_30arcmin_monthly_1990-2019_p=20%_gaps=25%.nc
- droughts_CCI-GLEAM_30arcmin_monthly_1990-2010_p=20%_pearson=40%.nc
- droughts_CCI-GLEAM_30arcmin_monthly_1990-2019_p=20%_pearson=40%.nc
- compounds_W5E5-GSIM-GRDC_30arcmin_monthly_1990-2010.nc
- compounds_W5E5-GSIM-GRDC_30arcmin_monthly_1990-2019.nc
- compounds_W5E5-GSIM-GRDC-CCI-GLEAM_30arcmin_monthly_1990-2010.nc
- analysis
- global_huang_cons_dom_1990-2010.csv
- global_huang_cons_elec_1990-2010.csv
- global_huang_cons_irr_1990-2010.csv
- global_huang_cons_liv_1990-2010.csv
- global_huang_cons_mfg_1990-2010.csv
- global_huang_withd_dom_1990-2010.csv
- global_huang_withd_elec_1990-2010.csv
- global_huang_withd_irr_1990-2010.csv
- global_huang_withd_liv_1990-2010.csv
- global_huang_withd_mfg_1990-2010.csv
- global_aquastat_withd_1990-2019.xlsx
- country_usgs_withd_1990-2019.xlsx
- country_useia_withd_elec-cooling_2014-2019.csv
- country_useia_prod_elec-electricity_2001-2019.csv
- local_withd_dom-mfg.csv
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## inputs
Folder '/inputs' contains the input files used for the calculations of the sectoral
water responses during extreme events.
Input files are:
- gsim-grdc_discharges.csv: GSIM and GRDC combined dataset
- datasets_global-scale_aquastat.csv: AQUASTAT water withdrawal data at country level
- datasets_country-scale_usgs.csv: USGS water withdrawal data at county level
- datasets_country-scale_useia.xlsx: EIA data of power plants (cooling water withdrawals
and net electricity production)
- datasets_local-scale.xlsx: compilation of city-scale water use records
Other datasets used were:
- Global reconstructed water use data for 1971-2010 v2.0 (Huang et al. (2018),
https://doi.org/10.5281/zenodo.1209296)
- WFDE5 over land merged with ERA5 over the ocean v2.0: Daily Maximum Near-
Surface Air Temperature (Lange et al. (2021),
https://data.isimip.org/datasets/38d4a8f4-12e8-44ff-afe3-0c7ce0e0dad6/)
- European Space Agency - Climate Change Initiative: Soil Moisture v6.1 (Dorigo
et al. (2017), https://www.esa-soilmoisture-cci.org/index.php?q=dataregistration)
- Global Land Evaporation Amsterdam Model v3.5a: Root-zone soil moisture
(Martens et al. (2017), https://www.gleam.eu/)
- The Global Streamflow Indices and Metadata Archive - Part 1: Station catalog
and Catchment boundary (Do et al. (2018), https://doi.pangaea.de/10.1594/PANGAEA.887477)
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## dhe
Folder '/dhe' contains the resulting datasets of identified extreme events (droughts,
heatwaves and compound events).
File names contain tags indicating the parameters considered during calculation.
Datasets are netcdf files that indicate non-occurrence (denoted by '0') or occurrence
of an extreme event: 1 if independent event dataset or 1 to 7 if compound event dataset
(see manuscript for more information).
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## analysis
Folder '/analysis' contains the resulting evaluation of sectoral water use responses
during droughts, heatwaves and compound events.
These output files include spatial locations (i.e., longitude and latitude) and mean
percentile values of water used during the occurrence of a particular extreme event.
File names include the water dimension, sector and period of interest evaluated, except
for local-scale results, which varies by city and data availability.
These results were used to generate the figures in the manuscript.
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## Contact
For further questions, please contact Gabriel Cardenas (g.a.cardenasbelleza@uu.nl).
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## References
Huang, Z., Hejazi, M., Li, X., Tang, Q., Vernon, C., Leng, G., Liu, Y., Döll, P.,
Eisner, S., Gerten, D., Hanasaki, N., & Wada, Y. (2018). Reconstruction of global
gridded monthly sectoral water withdrawals for 1971-2010 and analysis of their
spatiotemporal patterns. Hydrology and Earth System Sciences, 22(4), 2117–2133.
https://doi.org/10.5194/hess-22-2117-2018
Lange, S., Menz, C., Gleixner, S., Cucchi, M., Weedon, G. P., Amici, A., Bellouin,
N., Müller Schmied, H., Hersbach, H., Buontempo, C., & Cagnazzo, C. (2021). WFDE5
over land merged with ERA5 over the ocean (W5E5 v2.0). ISIMIP Repository.
https://doi.org/10.48364/ISIMIP.342217
Dorigo, W., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung,
D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, P. D., Hirschi, M., Ikonen,
J., de Jeu, R., Kidd, R., Lahoz, W., Liu, Y. Y., Miralles, D., … Lecomte, P. (2017).
Remote Sensing of Environment ESA CCI Soil Moisture for improved Earth system
understanding : State-of-the art and future directions. Remote Sensing of Environment,
203, 185–215. https://doi.org/10.1016/j.rse.2017.07.001
Martens, B., Miralles, D. G., Lievens, H., Van Der Schalie, R., De Jeu, R. A. M.,
Fernández-Prieto, D., Beck, H. E., Dorigo, W. A., & Verhoest, N. E. C. (2017).
GLEAM v3: Satellite-based land evaporation and root-zone soil moisture. Geoscientific
Model Development, 10(5), 1903–1925. https://doi.org/10.5194/gmd-10-1903-2017
Do, H. X., Gudmundsson, L., Leonard, M., Westra, S. (2018): The Global Streamflow
Indices and Metadata Archive - Part 1: Station catalog and Catchment boundary. PANGAEA,
https://doi.org/10.1594/PANGAEA.887477