Supplementary Information for "Managed aquifer recharge could offset a third of unsustainable global irrigation using extreme flows"

The folder contains the output data relative to the paper:Citrini, A., Scanlon, B.R., Rateb, A., Zhao, G., Sangiorgio, M., Rosa, L. Managed aquifer recharge could offset a third of unsustainable global irrigation using extreme flows. Contact: [e-mail] ##List of files- Figure_1.csv: Volumetric (km3) groundwater storage change in irrigation regions (2002–2021), trend slope coefficients, areas, and percentage (%) of irrigated land by region.- Figure_2.csv: Monthly Total Water Storage (TWS) and Groundwater Storage (GWS) anomalies (mm) for each irrigation reigon (2002–2021)- Figure_3.csv: Percentage (%) of unsustainable irrigation offset by MAR across irrigation regions for the 2002-2021 period considering both 90th and 95th percentile HMF scenarios- Figure_4.csv: Interannual percentage (%) of unsustainable irrigation offset by MAR across irrigation regions (2002-2021) considering both 90th and 95th percentile HMF scenarios- Figure_5.csv: Counterfactual monthly water balance for the irrigation regions (2002-2021), under 90th percentile HMF scenario: MAR Infiltration (km3), Groundwater Extraction (km3), and variation in target aquifer restoration volume (km3) by region- Figure_6_left_panels.csv: Percentage (%) of unsustainable irrigation offset by MAR under varying high-magnitude flow (HMF) capture efficiency scenarios (90%, 50%, 10%) and sensitivity to flow thresholds (90th percentile HMF scenario) across irrigation regions (2002–2021)- Figure_6_right_panels.csv: Percentage (%) of unsustainable irrigation offset by MAR under varying high-magnitude flow (HMF) capture efficiency scenarios (90%, 50%, 10%) and sensitivity to flow thresholds (95th percentile HMF scenario) across irrigation regions (2002–2021)- Figure_S1.csv: Daily discharge time series from GloFAS for each irrigation regions (m3/s)- Figure_S2.csv: Counterfactual monthly water balance for the irrigation regions (2002-2021), under 95th percentile HMF scenario: MAR Infiltration (km3), Groundwater Extraction (km3), and variation in target aquifer restoration volume (km3) by region- Figure_S3.csv: Monthly accumulated high-magnitude flow volume (km³) by irrigation regions (2002–2021) considering both 90th and 95th percentile HMF scenarios Please, for the spatial information, refer to the 'Irrigation_region' ESRI shapefile that you can download from here: Citrini, A., Sangiorgio, M., & Rosa, L. (2024). Supplementary dataset for "Global trends of unsustainable irrigation water consumption under 21st century climate change scenarios" [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14263125Metadata: - Irrigation_regions.zip: Geospatial extent of irrigation regions (WGS 1984, ESRI shapefile) ## Shapefile Structure The shapefile includes the following files: - `Irrigation_regions.shp`: Geometry of the objects. - `Irrigation_regions.shx`: Geometry index. - `Irrigation_regions.dbf`: Database of attributes associated with the geometry. - `Irrigation_regions.prj`: Projection file. - `Irrigation_regions.cpg`: Character encoding file. ## Shapefile Attributes The attributes present in the `.dbf` file are described below: - **ID**: [Long] - ID Irrigation region - **Name**: [Text] - Name Irrigation region - **Country1**: [Text] - Main Country covered by the irrigation region (according to the covered area) (ISO3166-1 alpha-3) - **Country2**: [Text] - Other Countries covered by the irrigation region (ISO3166-1 alpha-3) - **Continent**: [Text] - Continent covered by the irrigated region (AF: Africa, AS: Asia, AU: Oceania, EU: Europe, NA: North America, SA: South America) - **Area_sqkm**: [Double] - Geodesic area of Irrigation region in km2