Published July 25, 2025 | Version 1.0.1
Dataset Open

Data to 'The updated and improved method for water scarcity impact assessment in LCA, AWARE2.0'

Creators

  • 1. CIRAIG, Department of Chemical Engineering, Polytechnique Montreal, Canada
  • 2. Chair of Multidisciplinary Water Management, University of Twente, Enschede, Netherlands
  • 3. Institute of Physical Geography, University of Frankfurt, Frankfurt, Germany and Senckenberg Leibniz Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany

Description

This dataset includes the AWARE2.0 characterization factors as documented in the article "The updated and improved method for water scarcity impact assessment in LCA, AWARE2.0" (DOI: 10.1111/jiec.70023). When using the dataset in your own work, please cite the article and provide reference to this zenodo repository.

For importing the country-level characterization factors into LCA software, please see the AWARE2.0 implementations (openLCA, SimaPro, brightway2) in IMPACT World+, version 2.1: https://doi.org/10.5281/zenodo.14041258

Content

- native resolution (monthly, watershed scale):

  • AWARE20_Native_CFs_geospatial.gpkg: Geospatial file containing the AWARE2.0 basins as polygons with associated monthly and annual CFs
  • AWARE20_Native_CFs_geospatial.kmz: Version of AWARE20_Native_CFs_geospatial.gpkg for GoogleEarth
  • AWARE20_Native_CFs.xlsx: AWARE2.0 CFs on basin level (monthly and annual) and associated water consumption used for weighting
  • AWARE20_Intermediate_Variables.xlsx: Intermediate Variables from the calculation of the AWARE2.0 CFs, such as the longterm average natural and actual water availability, the AMDs, the EFRs, etc.
  • figures_AWARE_AWARE20_comparison_all_basins.zip: Figures comparing CFs, AMDs, Natural and Actual Availability, EWRs, and EFR coefficients between AWARE and AWARE2.0, for each of the 8149 basins individually. Consult these figures for a visual impression of how and why CFs might have changed between AWARE and AWARE2.0.

- spatiotemporal aggregations:

  • AWARE20_Countries_and_Regions.xlsx: AWARE2.0 CFs aggregated according to geography definitions of GLAM and ecoinvent (version 2.5, applicable to ecoinvent 3.10) 
  • AWARE20_Subnational_Resolution.xlsx: AWARE2.0 CFs aggregated to subnational resolution, using the GADM dataset version 4.1 (https://gadm.org/old_versions.html)
  • AWARE20_Crop_Specific.xlsx: AWARE2.0 CFs aggregated according to geography definitions of ecoinvent (version 2.5, applicable to ecoinvent 3.10), using crop-specific irrigation water consumption for 27 crop classes as spatiotemporal weights. See readme sheet in Excel file for more information.

 

Changes:

  • v1.0.1:
    • addition of crop-specific spatiotemporal aggregations (AWARE20_Crop_Specific.xlsx)
  • v1.0.0 (corresponding to published article):
    • update of readme sheets with appropriate references to corresponding article
    • update of reference "Müller Schmied et al. (2024)"
    • added file: AWARE20_Subnational_Resolution.xlsx
  •  v0.0.3:
    • use bug-fixed WaterGAP2.2e data from Sept 2023
    • added country and subnational aggregations
    • changed "NoData" to "NotDefined" in the tables
    • added gridcell pHWC to intermediate variables
    • corrected table of water consumption data without post-processing in "Intermediate_Variables"

 

Caveats:

  • Spatial CF aggregations for treaties:
    • Due to the creation date of the data set, the BRICS aggregations in AWARE20_Countries_and_Regions.xlsx do not include the states that joined after 2023. In AWARE20_Crop_Specific.xlsx, the 10-member BRICS is labeled BRICS+.

Files

figures_AWARE_AWARE20_comparison_all_basins.zip

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Additional details

Related works

Is documented by
Journal article: 10.1111/jiec.70023 (DOI)

Funding

Natural Sciences and Engineering Research Council
RGPIN-2020-04273

Software

Development Status
Active

References

  • Gosling, S. N., Müller Schmied, H., Burek, P., Grillakis, M., Guillaumot, L., Hanasaki, N., Kou-Giesbrecht, S., Koutroulis, A., Otta, K., Satoh, Y., Stacke, T., Zhu, Q., & Schewe, J. (2024). ISIMIP3a Simulation Data from the Global Water Sector (Version 1.1) [Dataset]. ISIMIP Repository. https://doi.org/10.48364/ISIMIP.398165.1
  • Müller Schmied, H., Trautmann, T., Ackermann, S., Cáceres, D., Flörke, M., Gerdener, H., Kynast, E., Peiris, T. A., Schiebener, L., Schumacher, M., & Döll, P. (2024). The global water resources and use model WaterGAP v2.2e: Description and evaluation of modifications and new features. Geoscientific Model Development, 17(23), 8817–8852. https://doi.org/10.5194/gmd-17-8817-2024
  • Mialyk, O., Schyns, J. F., Booij, M. J., Su, H., Hogeboom, R. J., & Berger, M. (2024). Water footprints and crop water use of 175 individual crops for 1990–2019 simulated with a global crop model. Scientific Data, 11(1), 206. https://doi.org/10.1038/s41597-024-03051-3