Dataset for: Diagnosing Physical-Parameterization Uncertainty in WRF-Simulated Extreme Precipitation over the Hanjiang River Basin

Description

Repository description file. This file provides an overview of the deposited materials, explains the file structure, identifies the data sources used in the study, and describes how the configuration files, supplementary figures, score tables, and analysis scripts are related to the manuscript. namelist.wps WRF Preprocessing System configuration file. This file records the model domain, map projection, horizontal grid setting, geographical data path, and preprocessing settings used to generate the WRF input files. namelist.input WRF model configuration file. This file records the simulation period, time step, domain setting, vertical levels, physical parameterization options, output frequency, and other runtime settings used in the WRF sensitivity experiments. Figure_S1.png, Figure_S2.png, Figure_S3.png Supplementary Figures S1-S3. These figures show the spatial distributions of 24-h accumulated precipitation simulated by the 15 WRF MP-CP parameterization combinations for Event 1, Event 2, and Event 3, respectively. Supplementary_material.docx Supplementary material document accompanying the manuscript. This file contains Supplementary Text S1, Supplementary Text S2, supplementary figure captions, and supplementary table captions. evaluation_results.xlsx Evaluation result workbook. This file contains the scoring and ranking results for the 15 WRF MP-CP parameterization combinations across the three extreme-precipitation events. jingdupingding.py Python script used to calculate the verification scores and ranking results reported in the manuscript. The script supports the calculation of the evaluation metrics and score outputs used for comparing the 15 WRF parameterization combinations. Table_S1.xlsx Supplementary Table S1. This workbook contains the categorical and continuous verification metrics for the 15 WRF MP-CP parameterization combinations. It includes three worksheets, Event_1, Event_2, and Event_3. Each worksheet reports POD, FAR, CSI, FBI, RMSE, MAE, and SD for the corresponding event.

Institutions

• Shaanxi Normal University

  Shaanxi, Xi'an

Categories

Licence