{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T12:52:28Z","timestamp":1725799948936},"reference-count":0,"publisher":"ECMS","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,7]]},"abstract":"<jats:p>This paper presents a new framework for process?ing 3D-volumetric radar data that generates Cartesian products for operational and numerical weather predic?tion purposes. Transformation of a typical polar-radial coordinate system into 3D Cartesian coordinates facil?itates weather radar composition, visualisation, and as?similation. Moreover, using 3D Cartesian coordinates significantly improves the flexibility of the product generation process. Implementation of the framework generated 72 composite products in a reasonable run time.<\/jats:p>","DOI":"10.7148\/2024-0543","type":"proceedings-article","created":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T19:49:02Z","timestamp":1721850542000},"page":"543-549","source":"Crossref","is-referenced-by-count":0,"title":["3d weather radar network cartesian products generation framework"],"prefix":"10.7148","author":[{"given":"Piotr","family":"Szuster","sequence":"first","affiliation":[]},{"given":"Joanna","family":"Kolodziej","sequence":"additional","affiliation":[]}],"member":"4144","published-online":{"date-parts":[[2024,6,7]]},"event":{"name":"38th ECMS International Conference on Modelling and Simulation"},"container-title":["ECMS 2024 Proceedings edited by Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev"],"original-title":[],"deposited":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T19:49:12Z","timestamp":1721850552000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.scs-europe.net\/dlib\/2024\/2024-0543.html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.7148\/2024-0543","relation":{},"subject":[],"published":{"date-parts":[[2024,6,7]]}}}