Data and Sample code for Decoupling of Hydrometeorological Responses to Atmospheric Rivers in Semi-Arid, Topographically Complex Basins: A Case Study of the Yellow River

Precipitation Event Data (Shapefiles)EPEs_Final_Data_PathCenter3_.shp: Geographic data for Extreme Precipitation Events (EPEs) in the YRB. Files with suffixes like `_total`, `_peak`, and `_depth` represent the total volume, maximum intensity, and average precipitation depth of each event, respectively .`EPEs_Final_Data_PathCenter3_D01` to `D08`: Sub-regional datasets for the eight major sections of the Yellow River Basin (e.g., UL, LL, LH, IA, HL, LS, SH, DH). Hydrological and Association Data (CSV Files)FloodEvents2.csv: A comprehensive inventory of identified flood events, including peak discharge and duration.MatchedFloodARs_with_organized_ARs.csv: Database linking specific flood events to their corresponding Atmospheric River occurrences.rivid_discharge_data4.csv: Daily discharge time series and reconstructed runoff sequences for the study period.ARs_Precip_Track_Intersect_Matches_50km_Buffer.csv: Spatial intersection data between AR moisture corridors and precipitation tracks, used to evaluate moisture-to-runoff conversion.ClimateIndicator.csv: Interdecadal climate indices used to analyze the influence of thermodynamic warming on AR intensity. Geospatial and Code Resourcesaccurate_hachures.gpkg: GeoPackage containing topographic features and mountain range alignments (e.g., Qinling, Taihang) used for terrain-based comparative analysis.SampleCode.zip: Python scripts for AR tracking, Hausdorff distance-based precipitation matching, and Copula-based multivariate statistical modeling.