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M-TraCE: a new tool for high-resolution computation and statistical elaboration of backward trajectories on the Italian domain

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Abstract

Air backward trajectory calculations are commonly used in a variety of atmospheric analyses, in particular for source attribution evaluation. The accuracy of backward trajectory analysis is mainly determined by the quality and the spatial and temporal resolution of the underlying meteorological data set, especially in the cases of complex terrain. This work describes a new tool for the calculation and the statistical elaboration of backward trajectories. To take advantage of the high-resolution meteorological database of the Italian national air quality model MINNI, a dedicated set of procedures was implemented under the name of M-TraCE (MINNI module for Trajectories Calculation and statistical Elaboration) to calculate and process the backward trajectories of air masses reaching a site of interest. Some outcomes from the application of the developed methodology to the Italian Network of Special Purpose Monitoring Stations are shown to assess its strengths for the meteorological characterization of air quality monitoring stations. M-TraCE has demonstrated its capabilities to provide a detailed statistical assessment of transport patterns and region of influence of the site under investigation, which is fundamental for correctly interpreting pollutants measurements and ascertaining the official classification of the monitoring site based on meta-data information. Moreover, M-TraCE has shown its usefulness in supporting other assessments, i.e., spatial representativeness of a monitoring site, focussing specifically on the analysis of the effects due to meteorological variables.

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Acknowledgements

This work is part of the Cooperation Agreement for the starting up the Italian National Network of Special Purpose Monitoring Station (CUP: F57G10000050001), funded by the Italian Ministry of the Environment, Land and Sea, which the authors wish to thank also for providing AMS-MINNI project results. The computing resources and the related technical support used for this work have been provided by CRESCO/ENEAGRID High Performance Computing infrastructure and its staff. CRESCO/ENEAGRID High Performance Computing infrastructure is funded by ENEA, the Italian National Agency for New Technologies, Energy and Sustainable Economic Development, and by Italian and European research programmes, see http://www.cresco.enea.it/english for information.

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  1. ENEA, National Agency for New Technologies, Energy and Sustainable Economic Development, via Martiri di Monte Sole 4, 40129, Bologna, Italy

    Lina Vitali, Gaia Righini, Antonio Piersanti, Giuseppe Cremona & Luisella Ciancarella

  2. ENEA, National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy

    Giandomenico Pace

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  1. Lina Vitali
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  2. Gaia Righini
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Vitali, L., Righini, G., Piersanti, A. et al. M-TraCE: a new tool for high-resolution computation and statistical elaboration of backward trajectories on the Italian domain. Meteorol Atmos Phys 129, 629–643 (2017). https://doi.org/10.1007/s00703-016-0491-8

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