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.
Research article
| 
29 May 2024
Research article |
| 29 May 2024
| 29 May 2024
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 Geoscientific Model Development (GMD).
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Thomas J. Batelaan, Chris Weijenborg, and Gert-Jan Steeneveld
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This preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).
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Mario Marcello Miglietta, Elenio Avolio, Alessandro Bracci, Massimiliano Burlando, Francesco Cairo, Federico Canepa, Vincenzo Capozzi, Sebastiano Carpentari, Federico Cassola, Alessandro Ceppi, Silvio Davolio, Francesco De Martin, Giorgio Doglioni, Costanza Di Felice Fabrizi, Luca Di Liberto, Francesco Domenichini, Stefano Federico, Massimo Enrico Ferrario, Federico Grazzini, Antonio Iengo, Sante Laviola, Agostino Manzato, Paolo Paganini, Antonio Parodi, Alessandro Pavan, Andrea Piazza, Arturo Pucillo, Giovanni Ravezzani, Francesco Sioni, Barbara Turato, Gianfranco Vulpiani, Marco Zanatta, and Dino Zardi
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This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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Francesco De Martin, Christopher Rozoff, Andrea Zonato, Stefano Alessandrini, and Silvana Di Sabatino
EGUsphere, https://doi.org/10.5194/egusphere-2026-815, https://doi.org/10.5194/egusphere-2026-815, 2026
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Indy van Grinsven, Meiert Willem Grootes, Remko Uijlenhoet, and Gert-Jan Steeneveld
EGUsphere, https://doi.org/10.5194/egusphere-2025-2634, https://doi.org/10.5194/egusphere-2025-2634, 2025
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Nat. Hazards Earth Syst. Sci., 24, 2495–2510, https://doi.org/10.5194/nhess-24-2495-2024, https://doi.org/10.5194/nhess-24-2495-2024, 2024
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We analyse the meteo-hydrological features of the 27 and 28 August 2023 event that occurred in Genoa. Rainfall observations were made using rain gauge networks based on either official networks or citizen science networks. The merged analysis stresses the spatial variability in the precipitation, which cannot be captured by the current spatial density of authoritative stations. Results show that at minimal distances the variations in cumulated rainfall over a sub-hourly duration are significant.
Antonio Giordani, Michael Kunz, Kristopher M. Bedka, Heinz Jürgen Punge, Tiziana Paccagnella, Valentina Pavan, Ines M. L. Cerenzia, and Silvana Di Sabatino
Nat. Hazards Earth Syst. Sci., 24, 2331–2357, https://doi.org/10.5194/nhess-24-2331-2024, https://doi.org/10.5194/nhess-24-2331-2024, 2024
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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.
Mugni Hadi Hariadi, Gerard van der Schrier, Gert-Jan Steeneveld, Samuel J. Sutanto, Edwin Sutanudjaja, Dian Nur Ratri, Ardhasena Sopaheluwakan, and Albert Klein Tank
Hydrol. Earth Syst. Sci., 28, 1935–1956, https://doi.org/10.5194/hess-28-1935-2024, https://doi.org/10.5194/hess-28-1935-2024, 2024
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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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Ditsuhi Iskandaryan, Silvana Di Sabatino, Francisco Ramos, and Sergio Trilles
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Laura Tositti, Erika Brattich, Claudio Cassardo, Pietro Morozzi, Alessandro Bracci, Angela Marinoni, Silvana Di Sabatino, Federico Porcù, and Alessandro Zappi
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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.
Erika Brattich, Hongyu Liu, Bo Zhang, Miguel Ángel Hernández-Ceballos, Jussi Paatero, Darko Sarvan, Vladimir Djurdjevic, Laura Tositti, and Jelena Ajtić
Atmos. Chem. Phys., 21, 17927–17951, https://doi.org/10.5194/acp-21-17927-2021, https://doi.org/10.5194/acp-21-17927-2021, 2021
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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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We present an evaluation of ocean and snow/ice O3 deposition in explaining observed hourly surface O3 at 25 pan-Arctic sites using an atmospheric meteorology/chemistry model. The model includes a mechanistic representation of ocean O3 deposition as a function of ocean biogeochemical and mixing conditions. The mechanistic representation agrees better with O3 observations in terms of magnitude and temporal variability especially in the High Arctic (> 70° N).
M. E. Molinari, M. Manzoni, N. Petrushevsky, A. M. Guarnieri, G. Venuti, A. N. Meroni, A. Mascitelli, and A. Parodi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 405–410, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-405-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-405-2021, 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...
