Global Data Center Water Use and Scarcity Analysis

Repository Structure Data Organization Inputs 2_energy_and_water_use/: Contains reference data for energy and water calculations Power plant databases: Data is from the WRI global power plant database version 1.30 (Byers et al., 2018; download [here] Electricity grid maps: Power grid geojson from here Climate zone data: Köppen climate zone 1991-2020 tif from Beck et al., 2023 Power plant water intensity: Based off of Jin et al., 2019 PUE and WUE scenario definitions: Derived from Lei & Masanet, 2022 3_water_scarcity: PCR-GLOBWB model outputs for water scarcity analysis, from Barbarossa et al., 2021 *Note*: inputs are not included in downloads due to their size (30 GB). The processed files are included in outputs/3_water_scarcity which can be used to run the water scarcity analysis 4_figures: Basin data for visualization, based on Pfafstetter watershed sub-basin level 5, from HydroBASINS common: Country boundaries from Natural Earth Data Outputs 0_webscraping: Raw data collected from data center directories 1_data_etl: Processed and cleaned data center information Geocoded data center locations Pre- and post-manual editing versions Fuzzy matching results Merging data sources Multiple imputation scenarios (min, max, average, baseline) for Big Tech companies 2_energy_and_water_use: Calculated energy and water use of data centers globally Imputed power capacity from floor area Assigned power and water use efficiencies per data center Direct impact assessments Assigned power grids to data centers Indirect water use of data centers 3_water_scarcity: Water scarcity analysis results Data center water extraction location mappings PCR-GLOBWB extracted values for discharge and abstraction Water scarcity summaries for different climate scenarios (1.5°C, 2.0°C, 3.2°C) at data center locations Water scarcity increases from data-center-driven water use