Preprints
https://doi.org/10.5194/gmd-2021-395
https://doi.org/10.5194/gmd-2021-395
Submitted as: development and technical paper
22 Feb 2022
Submitted as: development and technical paper | 22 Feb 2022
Status: a revised version of this preprint was accepted for the journal GMD.

TrackMatcher — A tool for finding intercepts in tracks of geographical positions

Peter Bräuer and Matthias Tesche Peter Bräuer and Matthias Tesche
  • Leipzig University, Institute for Meteorology, Stephanstraße 3, 04103 Leipzig, Germany

Abstract. Working with measurement data in atmospheric science often necessitates the collocation of observations from instruments or platforms at different locations, with different geographical and/or temporal data coverage. Varying complexity and abundance of the different data sets demand a consolidation of the observations. This paper presents a tool for (i) finding temporally and spatially resolved intersections between two- or three-dimensional geographical tracks (trajectories) and (ii) extracting of observations and other derived parameters in the vicinity of intersections to achieve the optimal combination of various data sets and measurement techniques.

The TrackMatcher tool has been designed specifically for matching height-resolved remote-sensing observations along the ground track of a satellite with position data of aircraft (flight tracks) and clouds (cloud tracks) and intended extension for ships (shiptracks) and air parcels (forward and backward trajectories). The open-source algorithm is written in the Julia programming language. The core of the matching algorithm consist of interpolating tracks of different objects with a piecewise cubic Hermite interpolating polynomial with subsequent identification of an intercept point by minimising the norm between the different track point coordinate pairs. The functionality wrapped around the two steps allows for application of the TrackMatcher tool to a wide range of scenarios. Here, we present three examples of matching satellite tracks with the position of individual aircraft and clouds that demonstrate the usefulness of TrackMatcher for application in atmospheric science.

Peter Bräuer and Matthias Tesche

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-395', Anonymous Referee #1, 19 Jun 2022
  • RC2: 'Comment on gmd-2021-395', Anonymous Referee #2, 27 Jul 2022
  • AC1: 'Reply to reviewer comments by RC1 and RC2', Peter Bräuer, 26 Sep 2022

Peter Bräuer and Matthias Tesche

Model code and software

PCHIP.jl Peter Bräuer https://doi.org/10.5281/zenodo.6193059

TrackMatcher.jl Peter Bräuer https://doi.org/10.5281/zenodo.6193048

Peter Bräuer and Matthias Tesche

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Short summary
This paper presents a tool for (i) finding temporally and spatially resolved intersections between two- or three-dimensional geographical tracks (trajectories) and (ii) extracting of data in the vicinity of intersections to achieve the optimal combination of various data sets.