Articles | Volume 17, issue 10
https://doi.org/10.5194/amt-17-3255-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-3255-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Performance evaluation of MeteoTracker mobile sensor for outdoor applications
Francesco Barbano
CORRESPONDING AUTHOR
Department of Physics and Astronomy, University of Bologna, via Irnerio 46, 40126 Bologna, Italy
Erika Brattich
Department of Physics and Astronomy, University of Bologna, via Irnerio 46, 40126 Bologna, Italy
Carlo Cintolesi
Department of Physics and Astronomy, University of Bologna, via Irnerio 46, 40126 Bologna, Italy
Abdul Ghafoor Nizamani
Department of Physics and Astronomy, University of Bologna, via Irnerio 46, 40126 Bologna, Italy
Silvana Di Sabatino
Department of Physics and Astronomy, University of Bologna, via Irnerio 46, 40126 Bologna, Italy
Massimo Milelli
CIMA research Foundation, Via A. Magliotto, 2 17100 Savona, Italy
Esther E. M. Peerlings
Meteorology and Air Quality Section, Wageningen University, P.O. Box 47, 6700 AA, Wageningen, the Netherlands
Sjoerd Polder
Meteorology and Air Quality Section, Wageningen University, P.O. Box 47, 6700 AA, Wageningen, the Netherlands
Gert-Jan Steeneveld
Meteorology and Air Quality Section, Wageningen University, P.O. Box 47, 6700 AA, Wageningen, the Netherlands
Antonio Parodi
CIMA research Foundation, Via A. Magliotto, 2 17100 Savona, Italy
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This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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To improve the challenging representation of hazardous hailstorms, a proxy for hail frequency based on satellite detections, convective parameters from high-resolution reanalysis, and crowd-sourced reports is tested and presented. Hail likelihood peaks in mid-summer at 15:00 UTC over northern Italy and shows improved agreement with observations compared to previous estimates. By separating ambient signatures based on hail severity, enhanced appropriateness for large-hail occurrence is found.
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Auke M. van der Woude, Remco de Kok, Naomi Smith, Ingrid T. Luijkx, Santiago Botía, Ute Karstens, Linda M. J. Kooijmans, Gerbrand Koren, Harro A. J. Meijer, Gert-Jan Steeneveld, Ida Storm, Ingrid Super, Hubertus A. Scheeren, Alex Vermeulen, and Wouter Peters
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Atmos. Chem. Phys., 22, 4047–4073, https://doi.org/10.5194/acp-22-4047-2022, https://doi.org/10.5194/acp-22-4047-2022, 2022
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We present a thorough investigation of an anomalous transport of mineral dust over a region renowned for excess airborne particulate matter, the Italian Po Valley, which occurred in late March 2021. Both the origin of this dust outbreak, which was localized in central Asia (i.e., the so-called Aralkum Desert), and the upstream synoptic conditions, investigated here in extreme detail using multiple integrated observations including in situ measurements and remote sensing, were atypical.
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Ian Boutle, Wayne Angevine, Jian-Wen Bao, Thierry Bergot, Ritthik Bhattacharya, Andreas Bott, Leo Ducongé, Richard Forbes, Tobias Goecke, Evelyn Grell, Adrian Hill, Adele L. Igel, Innocent Kudzotsa, Christine Lac, Bjorn Maronga, Sami Romakkaniemi, Juerg Schmidli, Johannes Schwenkel, Gert-Jan Steeneveld, and Benoît Vié
Atmos. Chem. Phys., 22, 319–333, https://doi.org/10.5194/acp-22-319-2022, https://doi.org/10.5194/acp-22-319-2022, 2022
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Fog forecasting is one of the biggest problems for numerical weather prediction. By comparing many models used for fog forecasting with others used for fog research, we hoped to help guide forecast improvements. We show some key processes that, if improved, will help improve fog forecasting, such as how water is deposited on the ground. We also showed that research models were not themselves a suitable baseline for comparison, and we discuss what future observations are required to improve them.
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In this study we analyse the output of a chemistry and transport model together with observations of different meteorological and compositional variables to demonstrate the link between sudden stratospheric warming and transport of stratospheric air to the surface in the subpolar regions of Europe during the cold season. Our findings have particular implications for atmospheric composition since climate projections indicate more frequent sudden stratospheric warming under a warmer climate.
Johannes G. M. Barten, Laurens N. Ganzeveld, Gert-Jan Steeneveld, and Maarten C. Krol
Atmos. Chem. Phys., 21, 10229–10248, https://doi.org/10.5194/acp-21-10229-2021, https://doi.org/10.5194/acp-21-10229-2021, 2021
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Short summary
The characterization of the urban microclimate starts with atmospheric monitoring using a dense array of sensors to capture the spatial variations induced by the different morphology, land cover, and presence of vegetation. To provide a new sensor for this scope, this paper evaluates the outdoor performance of a commercial mobile sensor. The results mark the sensor's ability to capture the same atmospheric variability as the reference, making it a valid solution for atmospheric monitoring.
The characterization of the urban microclimate starts with atmospheric monitoring using a dense...