How Does Fractal Urban Geometry Regulate the Scaling of Rainfall? Quantifying Scale-Dependent Impacts in Heavy Precipitation Simulations

-------------------------Content of the dataset-------------------------****** the experiment group (EXP) ; the control group (CTR) ****** 1. CTR-wrfout-D03-S1.zip contains the WRF model output data of the control experiment (CTR) for Event S1 over the innermost domain (D03). These data can be used to reproduce the simulation results shown in Fig. 6 and Fig. 15 of the paper. 2. EXP-wrfout-D03-S1.zip contains the WRF model output data of the experimental simulation (EXP) for Event S1 over the innermost domain (D03). These data can be used to reproduce the simulation results shown in Fig. 6 and Fig. 15 of the paper. 3. met.zip contains the meteorological forcing data used for the simulation of Event S5, including the necessary meteorological input fields (met) for model initialization and driving. 4. The file module_sf_pkuurban.F contains the main source code of the improved urban canopy model, the Multi-scale Fractal Urban Canopy Model (MFUCM), which is coupled to the WRF model and applied in the EXP simulation. This file is located in the phys/ directory of the WRF source code and is called by surface_driver.F. 5. code.zip contains the post-processing and visualization scripts used in this study, including: - CAPE.py: used to calculate Convective Available Potential Energy (CAPE) and generate Fig. 12. - CIN.py: used to calculate Convective Inhibition (CIN) and generate Fig. 14. - dayrain+u.py: used to plot the spatial distribution of precipitation and near-surface wind fields, corresponding to Fig. 6–10. - detal-dayrain.py: used to generate the spatial distribution of precipitation differences between EXP and CTR. - total_compare.m: a MATLAB script used to compare accumulated precipitation between experiments, corresponding to Fig. 5(a). -------------------------Contact information------------------------- Zhenxin Liu Email: [e-mail]