Hydrological drought connectedness - Dataset

The dataset contains the input and output information necessary to reproduce and interpret the results from the study "Spatially Compounding Drought Events in Brazil", published in the Water Resources Research Journal - Gesualdo et al., (2024a). Input Data for Hydrological Drought Extraction Code (Gesualdo et al, 2024b) database_mm: This contains a CSV file for each catchment with streamflow information in mm per day. CABra_attributes.csv: This file includes the main catchment attribute classes. The input data was obtained from the Catchments Attributes for Brazil (CABra) dataset (Almagro et al., 2023). For more details, please visit: CABra dataset on Zenodo. The output of this function is Q15_30MW folder, which contains drought identification information for each catchment in a separate CSV file. Input Data for Hydrological Drought Connectedness Code (Gesualdo et al, 2024b) All_info.csv: This is a compiled file containing information on all drought events analyzed in the study. The output data includes: connectivity_ids_data.csv: This file contains the dates when two catchments experienced a common drought event. connectivity_ids.csv: This file contains the number of connected drought events between catchments. Input Data to reproduce the figures Figure Inputs Heatmap of Spearman's correlation All_attributes_drought.csv Spatial distribution of drought characteristics All_attributes_drought.csv; SNIRH_RegioesHidrograficas_2020.shp Drought co-occurrence network Connectivity_degree.csv; Connectivity_ids.csv; All_attributes_drought.csv; SNIRH_RegioesHidrograficas_2020.shp Drought similarity clusters Cluster_HydrologicalDrought.csv; SNIRH_RegioesHidrograficas_2020.shp Catchment attribute variability Cluster_HydrologicalDrought; All_attributes_drought.csv ReferencesAlmagro, A., Oliveira, P. T. S., Meira Neto, A. A., Roy, T., & Troch, P. (2023). CABra: a novel large-sample dataset for Brazilian catchments (Version 5) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7612350 Gesualdo, G. C., Benso, M. R., Mendiondo, E. M., & Brunner, M. I. (2024a). Spatially compounding drought events in Brazil. Water Resources Research, 60, e2023WR036629. https://doi.org/10.1029/2023WR036629Gesualdo, G., Benso, M. R., Kobayashi, A., & Pereira Zamboni, P. A. (2024b). gabichiquito/Hydrological-drought-connectedness: v1.0. Zenodo. https://doi.org/10.5281/zenodo.14036013 These updates ensure clarity and ease of use, making the dataset and code accessible and reproducible for all users.