保存先:
書誌詳細
第一著者: Fang, Runzhuo
フォーマット: Recurso digital
言語:
出版事項: Zenodo 2025
オンライン・アクセス:https://doi.org/10.5281/zenodo.17498230
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
目次:
  • <h2><strong>Here we will provide the main code for generating the IMPMCT dataset( <a href="https://doi.org/10.5281/zenodo.15113263">https://doi.org/10.5281/zenodo.17142448 </a>).</strong></h2> <p dir="auto">Regarding the yolov8-obb-pose model, please refer to <a href="https://github.com/yzqxy/ultralytics-obb_segment">https://github.com/yzqxy/ultralytics-obb_segment</a>.</p> <p dir="auto">The relevant model weights and validation sets are restored in <a href="https://doi.org/10.5281/zenodo.15119534" rel="nofollow">https://doi.org/10.5281/zenodo.15119534</a>.</p> <p dir="auto">1 identify.ipynb: This file is used to identify the vortex tracks in ERA5 data.</p> <p dir="auto">2 AVHRR_matched.ipynb: This file is used to match AVHRR data with the vortex tracks .</p> <p dir="auto">3 VCI_create.ipynb: This file is used to create the VCI images for every vortex track if AVHRR data is available.</p> <p dir="auto">4 obb_pose_detect.ipynb: This file is used to detect the cyclone features in the VCI images using the yolov8-obb-pose model.</p> <p dir="auto">5 ASCAT_AVHRR_matched.ipynb: This file is used to match ASCAT\QUIKSCAT data with the cyclone features identified in the previous step.</p> <p dir="auto">6 example_data(folder) is the example dataset used in above codes.</p> <p dir="auto">7 match_stoll_ROJO.ipynb: This file is used to match the vortex tracks with the PLs tracks in the ROJO and Stoll dataset.</p> <p dir="auto">8 <a title="cmems_tracks_45_0.8_0.5_0.15.xlsx" href="https://github.com/thebluewind/IMPMCT/blob/main/cmems_tracks_45_0.8_0.5_0.15.xlsx">cmems_tracks_*</a>: Three excels for replying Prof. Stoffelen (<a href="https://doi.org/10.5194/essd-2025-186-AC4">https://doi.org/10.5194/essd-2025-186-AC4</a>)</p>