YOLOv8-Detected Gravity Wave Event Catalog from VIIRS Day-Night Band Imagery (NOAA-20, 2018–2024)

This dataset contains gravity wave event lists detected by a YOLOv8 machine-learning model applied to VIIRS Day/Night Band (DNB) imagery acquired by the NOAA-20 satellite from 2018 to 2024. The detailed methodology is described in a manuscript being prepared for submission to Journal of Geophysical Research: Machine Learning and Computation: Yuta Hozumi, Jia Yue, Seraj Al Mahmud Mostafa, Chenxi Wang, Jianwu Wang, Sanjay Purushotham, and Steven D. Miller, “Localization and Classification of Gravity Wave Events from VIIRS Day/Night Band Satellite Imagery Using Machine Learning Techniques.” Dataset 1: wave_event_VJ102DNB.csv This file provides the catalog of detected wave events in CSV format. The event list is the result of a survey of moonless NOAA-20 VIIRS/DNB images from 2018 to 2024 using the trained YOLOv8 model. The columns are: 1. Satellite name. 2–3. Intensity and geolocation data file names, respectively. The original data files can be downloaded from https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/5201/VJ102DNB/ and https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/5201/VJ103DNB/. 4. Observation time of the granule in UTC. The format is “YYYY-MM-DD hh:mm:ss,” where YYYY, MM, DD, hh, mm, and ss denote year, month, day, hour, minute, and second, respectively. 5. Total number of detected objects in the granule. 6. Object index within the granule. 7–8. Class ID and class name of the detected wave event, respectively. The class IDs are: 0 for concentric gravity waves (cgw), 1 for frontal waves, 2 for ripples, and 3 for other gravity waves (gw). 9. Detection confidence score, ranging from 0.3 to 1.0. 10–13. Normalized coordinates of the center of the bounding box (x_center, y_center), followed by the normalized width and height of the bounding box. 14–15. Latitude and longitude of the center of the bounding box. 16–23. Latitudes and longitudes of the four corners of the bounding box. Dataset 2: YYYYMM.zip Monthly zip archives of DNB images with detected wave events annotated by bounding boxes. Dataset 3: map_figs.zip Monthly global maps of detected wave events for each wave class.