Data for "Enhancing the Utilization of SWOT Observations for Canadian Flood Monitoring via Physical Radar Parameter Filtering"

This repository contains the integrated datasets and underlying figure data supporting the manuscript "Enhancing the Utilization of SWOT Observations for Canadian Flood Monitoring via Physical Radar Parameter Filtering" submitted to Geophysical Research Letters. The files are organized into three main categories: integrated SWOT observations, dimension-specific analysis data, and time-series stage data for specific validation stations. 1. Integrated SWOT Dataset SWOT_RiverSP_Canada_Observation_Dataset.parquet: The master integrated SWOT raw dataset covering the Canadian hydrometric network. It is provided in Apache Parquet format for optimized storage and can be easily read using Python (pandas/pyarrow) or R. 2. Accuracy and Multi-dimensional Analysis DataThese files contain the processed evaluation metrics and physical radar parameters, numbered sequentially for clarity: 0_Station_RMSE_Data.csv & 0_Observations_error_parameters.xlsx: Overall station-level WSE accuracy (RMSE) and observation-level physical radar parameter datasets. 1_Season.xlsx: Observation data aggregated and analyzed by seasonal ice phenology. 2_P_width.xlsx: Data categorized by prior river channel width (p_width). 3_Ecozones.xlsx: Spatial performance data across different Canadian terrestrial ecozones. 4_Cross_track.xlsx: Error analysis data evaluating the geometric dependencies across different cross-track distances. 3. Figure 1b Time-Series Data Figure1b_Data_Zenodo.csv: The combined plotting data used to generate the time-series comparisons in Figure 1b. Stage.Working@..._corrected.csv: Four individual in situ gauge stage files (05GG001, 07GJ001, 08LB064, 09DD003) from the Water Survey of Canada (WSC) involved in the time-series analysis.