Codes and the test dataset for MSR

<p>This file contains the essential codes,&nbsp;model parameter files, and test dataset for the echo reconstructions of Zhu et al. 2023.&nbsp;</p> <p>When unzipping the &quot;Data4MSR4Test_split.zip.00x&quot;, simply put these zip packages in the same folder and unzip the &quot;Data4MSR4Test_split.zip.001&quot;.</p> <p>The dataset contains processed radar echo data, satellite images, and simulations over the Beijing-Tianjin-Hebei region ([36&deg;N, 113&deg;E]&times;[43&deg;N, 120&deg;E]) with a horizontal resolution of 0.01&deg;, corresponding to three folders. First, the &quot;Radar&quot; folder contains the radar echo data.&nbsp;Each file contains radar echo data (CAPPI) of five heights (from the 1st layer on is CAPPI at 1500, 2000, 2500, 3000, and 3500 m). The &quot;satellite&quot; folder contains the Himawari-8 satellite images (&quot;TBBdata&quot; folder) of five bands (from the 1st layer on is the 5th, 8th, 13th, 15th, and 16th bands) and corresponding convective cloud classification data (&quot;clouddata&quot; folder). The &quot;WRF2RADAR&quot; folder contains 24-layer WRF-simulated variables,&nbsp;&nbsp;and from the 1st layer on is vertical wind shear,&nbsp;U (850 hPa), U (700 hPa), U (500 hPa), V (850 hPa), V&nbsp;(700 hPa), V (500 hPa), W (850 hPa), W (700 hPa), W (500 hPa), storm relative helicity, updraft helicity, K index, maximum convective available potential energy, maximum convective inhibition, &nbsp;equivalent potential temperature difference, temperature lapse rate, precipitable water, water vapor mixing ratio (850 hPa), water vapor mixing ratio (700 hPa), water vapor mixing ratio (500 hPa), relative humidity (850 hPa), relative humidity (700 hPa), relative humidity (500 hPa). Please note, only the first 700 rows and the first 700 lines of WRF-simulated data are used.&nbsp;</p> <p>We acknowledge the National Key Basic Research Program of China (grant 2014CB441401) for providing radar data. We acknowledge the Japan Aerospace Exploration Agency (JAXA) for supplying Himawari-8 satellite images.&nbsp;</p> <p>Before use, please modify the path to the test dataset in &quot;data_loader.py&quot; in &quot;Codes4GRL&quot;. Original codes are aimed at research needs and there is a lot of room for improvement.</p>