Replication data: Stripe Patterns in Wind Forecasts Induced by Physics-Dynamics Coupling on a Staggered Grid in CMA-GFS 3.0

This dataset contains all numerical results and analysis codes used to generate the figures in the study "Stripe Patterns in Wind Forecasts Induced by Physics-Dynamics Coupling on a Staggered Grid in CMA-GFS 3.0". The data primarily focus on diagnosing stripe noise in CMA-GFS 3.0's low-level wind forecasts (<2800 m) and their numerical mechanisms. 1. Model Outputs (Binary format)exp_ctrl.tar.gzControl experiment: Hourly wind forecasts (u/v components) at the lowest model levels (0-120 hours) exp_test.tar.gzSensitivity experiment: Non-staggered grid winds (0-24 hours) exp_dyn.tar.gzPure dynamical core outputs (0-24 hours, no physics parameterizations) 2. Static Fields (Binary format)staticdata.tar.gzSubgrid-scale orography standard deviation (σₛ) and surface roughness length (z₀) 3. Idealized Experiments (Binary format)idealtest.tar.gz2D idealized test results demonstrating 2Δx noise generation 4. Spectral Analysis results (ASCII format)PSD_FFT.rarPrecomputed power spectral density (PSD) of wind fields using Fast Fourier Transform 5. Analysis Codes code4ideal_FFT.tar.gz(Fortran 90) FFT programs for PSD calculation Idealized experiment analysis gsfile.tar.gz (gs files) GrADS visualization scripts for all figures Operational Workflow Step 1: Download all compressed files to a target directory Step 2: Extract the archive contents preserving folder structure Step 3: Navigate to the gsfile/ subdirectory Step 5: Initialize GrADS environment Step 6: Run the plotting script ga->*.gs