Articles | Volume 12, issue 1
https://doi.org/10.5194/essd-12-277-2020
https://doi.org/10.5194/essd-12-277-2020
Data description paper
 | 
10 Feb 2020
Data description paper |  | 10 Feb 2020

A dataset of tracer concentrations and meteorological observations from the Bolzano Tracer EXperiment (BTEX) to characterize pollutant dispersion processes in an Alpine valley

Marco Falocchi, Werner Tirler, Lorenzo Giovannini, Elena Tomasi, Gianluca Antonacci, and Dino Zardi

Related authors

EEAR-Clim: a high-density observational dataset of daily precipitation and air temperature for the Extended European Alpine Region
Giulio Bongiovanni, Michael Matiu, Alice Crespi, Anna Napoli, Bruno Majone, and Dino Zardi
Earth Syst. Sci. Data, 17, 1367–1391, https://doi.org/10.5194/essd-17-1367-2025,https://doi.org/10.5194/essd-17-1367-2025, 2025
Short summary
ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool
Dario Di Santo, Cenlin He, Fei Chen, and Lorenzo Giovannini
Geosci. Model Dev., 18, 433–459, https://doi.org/10.5194/gmd-18-433-2025,https://doi.org/10.5194/gmd-18-433-2025, 2025
Short summary
Dynamical perturbation of the stratosphere by a pyrocumulonimbus injection of carbonaceous aerosols
Giorgio Doglioni, Valentina Aquila, Sampa Das, Peter R. Colarco, and Dino Zardi
Atmos. Chem. Phys., 22, 11049–11064, https://doi.org/10.5194/acp-22-11049-2022,https://doi.org/10.5194/acp-22-11049-2022, 2022
Short summary
Observed snow depth trends in the European Alps: 1971 to 2019
Michael Matiu, Alice Crespi, Giacomo Bertoldi, Carlo Maria Carmagnola, Christoph Marty, Samuel Morin, Wolfgang Schöner, Daniele Cat Berro, Gabriele Chiogna, Ludovica De Gregorio, Sven Kotlarski, Bruno Majone, Gernot Resch, Silvia Terzago, Mauro Valt, Walter Beozzo, Paola Cianfarra, Isabelle Gouttevin, Giorgia Marcolini, Claudia Notarnicola, Marcello Petitta, Simon C. Scherrer, Ulrich Strasser, Michael Winkler, Marc Zebisch, Andrea Cicogna, Roberto Cremonini, Andrea Debernardi, Mattia Faletto, Mauro Gaddo, Lorenzo Giovannini, Luca Mercalli, Jean-Michel Soubeyroux, Andrea Sušnik, Alberto Trenti, Stefano Urbani, and Viktor Weilguni
The Cryosphere, 15, 1343–1382, https://doi.org/10.5194/tc-15-1343-2021,https://doi.org/10.5194/tc-15-1343-2021, 2021
Short summary
Controls on spatial and temporal variability in streamflow and hydrochemistry in a glacierized catchment
Michael Engel, Daniele Penna, Giacomo Bertoldi, Gianluca Vignoli, Werner Tirler, and Francesco Comiti
Hydrol. Earth Syst. Sci., 23, 2041–2063, https://doi.org/10.5194/hess-23-2041-2019,https://doi.org/10.5194/hess-23-2041-2019, 2019
Short summary

Related subject area

Meteorology
The SAIL dataset of marine atmospheric electric field observations over the Atlantic Ocean
Susana Barbosa, Nuno Dias, Carlos Almeida, Guilherme Amaral, António Ferreira, António Camilo, and Eduardo Silva
Earth Syst. Sci. Data, 17, 1393–1405, https://doi.org/10.5194/essd-17-1393-2025,https://doi.org/10.5194/essd-17-1393-2025, 2025
Short summary
Global projections of heat stress at high temporal resolution using machine learning
Pantelis Georgiades, Theo Economou, Yiannis Proestos, Jose Araya, Jos Lelieveld, and Marco Neira
Earth Syst. Sci. Data, 17, 1153–1171, https://doi.org/10.5194/essd-17-1153-2025,https://doi.org/10.5194/essd-17-1153-2025, 2025
Short summary
A new high-resolution multi-drought-index dataset for mainland China
Qi Zhang, Chiyuan Miao, Jiajia Su, Jiaojiao Gou, Jinlong Hu, Xi Zhao, and Ye Xu
Earth Syst. Sci. Data, 17, 837–853, https://doi.org/10.5194/essd-17-837-2025,https://doi.org/10.5194/essd-17-837-2025, 2025
Short summary
Global tropical cyclone size and intensity reconstruction dataset for 1959–2022 based on IBTrACS and ERA5 data
Zhiqi Xu, Jianping Guo, Guwei Zhang, Yuchen Ye, Haikun Zhao, and Haishan Chen
Earth Syst. Sci. Data, 16, 5753–5766, https://doi.org/10.5194/essd-16-5753-2024,https://doi.org/10.5194/essd-16-5753-2024, 2024
Short summary
HighResClimNevada: a high-resolution climatological dataset for a high-altitude region in Southern Spain (Sierra Nevada)
Matilde García-Valdecasas Ojeda, Feliciano Solano-Farias, David Donaire-Montaño, Emilio Romero-Jiménez, Juan José Rosa-Cánovas, Yolanda Castro-Díez, Sonia Raquel Gámiz-Fortis, and María Jesús Esteban-Parra
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-522,https://doi.org/10.5194/essd-2024-522, 2024
Revised manuscript accepted for ESSD
Short summary

Cited articles

Allwine, K. J. and Flaherty, J. E.: Joint Urban 2003: Study overview and instrument locations, Tech. rep., Pacific Northwest National Laboratory (PNNL), Richland, WA (US), 2006. a, b
Ambrosetti, P., Anfossi, D., Cieslik, S., Graziani, G., Grippa, G., Marzorati, R. L. A., Stingele, A., and Zimmermann, H.: The TRANSALP-90 Campaign. The second tracer release experiment in a sub-alpine valley, Tech. Rep. Technical Report EUR 15952 EN, Commission of the European Communities, 1994. a
Banta, R. M., Olivier, L. D., Neff, W. D., Levinson, D. H., and Ruffieux, D.: Influence of canyon-induced flows on flow and dispersion over adjacent plains, Theor. Appl. Climatol., 52, 27–42, https://doi.org/10.1007/BF00865505, 1995. a
Bowne, N. E., Londergan, R. J., Murray, D. R., and Borenstein, H. S.: Overview, results, and conclusions for the EPRI Plume Model Validation and Development Project: Plains site, Electric Power Research Institute Rep. EA-3074, Project, 1616–1, 1983. a
Britter, R. E., Di Sabatino, S., Caton, F., Cooke, K. M., Simmonds, P. G., and Nickless, G.: Results from three field tracer experiments on the neighbourhood scale in the city of Birmingham UK, Water Air Soil Poll. Focus, 2, 79–90, 2002. a, b
Download
Short summary
This paper describes a dataset of tracer concentrations and meteorological measurements collected during the Bolzano Tracer EXperiment (BTEX) to evaluate the pollutant dispersion from a waste incinerator close to Bolzano (Italian Alps). BTEX represents one of the few experiments available in the literature performed over complex mountainous terrain to evaluate dispersion processes by means of controlled tracer releases. This dataset represents a useful benchmark for testing dispersion models.
Share
Altmetrics
Final-revised paper
Preprint