A Lagrangian Backward Air Parcel Trajectories Clustering Framework
Many studies concerning atmosphere moisture paths use Lagrangian backward air parcel trajectories to determine the humidity sources for specific locations. Automatically grouping trajectories according to their geographical position simplifies and speeds up their analysis. In this paper, we propose...
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Format: | Article |
Language: | English |
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MDPI AG
2021-12-01
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Series: | Water |
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Online Access: | https://www.mdpi.com/2073-4441/13/24/3638 |
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author | Iulia-Maria Rădulescu Alexandru Boicea Florin Rădulescu Daniel-Călin Popeangă |
author_facet | Iulia-Maria Rădulescu Alexandru Boicea Florin Rădulescu Daniel-Călin Popeangă |
author_sort | Iulia-Maria Rădulescu |
collection | DOAJ |
description | Many studies concerning atmosphere moisture paths use Lagrangian backward air parcel trajectories to determine the humidity sources for specific locations. Automatically grouping trajectories according to their geographical position simplifies and speeds up their analysis. In this paper, we propose a framework for clustering Lagrangian backward air parcel trajectories, from trajectory generation to cluster accuracy evaluation. We employ a novel clustering algorithm, called DenLAC, to cluster troposphere air currents trajectories. Our main contribution is representing trajectories as a one-dimensional array consisting of each trajectory’s points position vector directions. We empirically test our pipeline by employing it on several Lagrangian backward trajectories initiated from Břeclav District, Czech Republic. |
first_indexed | 2024-03-10T03:53:42Z |
format | Article |
id | doaj.art-ee7efd16491c4d7ab887785699bb1c6b |
institution | Directory Open Access Journal |
issn | 2073-4441 |
language | English |
last_indexed | 2024-03-10T03:53:42Z |
publishDate | 2021-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Water |
spelling | doaj.art-ee7efd16491c4d7ab887785699bb1c6b2023-11-23T11:02:06ZengMDPI AGWater2073-44412021-12-011324363810.3390/w13243638A Lagrangian Backward Air Parcel Trajectories Clustering FrameworkIulia-Maria Rădulescu0Alexandru Boicea1Florin Rădulescu2Daniel-Călin Popeangă3Computer Science and Engineering Department, University Politehnica of Bucharest, 060042 Bucharest, RomaniaComputer Science and Engineering Department, University Politehnica of Bucharest, 060042 Bucharest, RomaniaComputer Science and Engineering Department, University Politehnica of Bucharest, 060042 Bucharest, RomaniaComputer Science and Engineering Department, University Politehnica of Bucharest, 060042 Bucharest, RomaniaMany studies concerning atmosphere moisture paths use Lagrangian backward air parcel trajectories to determine the humidity sources for specific locations. Automatically grouping trajectories according to their geographical position simplifies and speeds up their analysis. In this paper, we propose a framework for clustering Lagrangian backward air parcel trajectories, from trajectory generation to cluster accuracy evaluation. We employ a novel clustering algorithm, called DenLAC, to cluster troposphere air currents trajectories. Our main contribution is representing trajectories as a one-dimensional array consisting of each trajectory’s points position vector directions. We empirically test our pipeline by employing it on several Lagrangian backward trajectories initiated from Břeclav District, Czech Republic.https://www.mdpi.com/2073-4441/13/24/3638Lagrangian backward trajectoriesclusteringHYSPLITposition vectors |
spellingShingle | Iulia-Maria Rădulescu Alexandru Boicea Florin Rădulescu Daniel-Călin Popeangă A Lagrangian Backward Air Parcel Trajectories Clustering Framework Water Lagrangian backward trajectories clustering HYSPLIT position vectors |
title | A Lagrangian Backward Air Parcel Trajectories Clustering Framework |
title_full | A Lagrangian Backward Air Parcel Trajectories Clustering Framework |
title_fullStr | A Lagrangian Backward Air Parcel Trajectories Clustering Framework |
title_full_unstemmed | A Lagrangian Backward Air Parcel Trajectories Clustering Framework |
title_short | A Lagrangian Backward Air Parcel Trajectories Clustering Framework |
title_sort | lagrangian backward air parcel trajectories clustering framework |
topic | Lagrangian backward trajectories clustering HYSPLIT position vectors |
url | https://www.mdpi.com/2073-4441/13/24/3638 |
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