Articles | Volume 18, issue 9
https://doi.org/10.5194/essd-18-6465-2026
https://doi.org/10.5194/essd-18-6465-2026
Data description article
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04 Sep 2026
Data description article | Highlight paper |  | 04 Sep 2026

GloPINE dataset: model-ready measurements of INP concentrations using PINE instruments

Ross J. Herbert, Larissa Lacher, Alexander Böhmländer, Mark D. Tarn, Antoine Canzi, Aidan Pantoya, Evelyn Freney, Kristina Höhler, Pia Bogert, Céline Planche, Ping Tian, Michael Adams, Sarah Barr, David Brus, Nicole Büttner, Martin Daily, Konstantinos Doulgeris, Konstantinos Eleftheriadis, Grant Forster, Romy Fösig, Dimitrios G. Georgakopoulos, Maria I. Gini, A. Gannet Hallar, Radovan Krejci, Elke Ludewig, Mauro Mazzola, Ian B. McCubbin, Athanasios Nenes, Tuukka Petäjä, Joseph Robinson, Franziska Vogel, Paul Zieger, Stephen Arnold, Kenneth S. Carslaw, Naruki Hiranuma, Ottmar Möhler, and Benjamin J. Murray

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Cited articles

Adams, M. P.: Measurement and characterisation of atmospheric ice-nucleating particles, Ph.D. thesis, University of Leeds, https://etheses.whiterose.ac.uk/id/eprint/28908/ (last access: 1 September 2026), 2020. a, b
Bakels, L., Tatsii, D., Tipka, A., Thompson, R., Dütsch, M., Blaschek, M., Seibert, P., Baier, K., Bucci, S., Cassiani, M., Eckhardt, S., Groot Zwaaftink, C., Henne, S., Kaufmann, P., Lechner, V., Maurer, C., Mulder, M. D., Pisso, I., Plach, A., Subramanian, R., Vojta, M., and Stohl, A.: FLEXPART version 11: improved accuracy, efficiency, and flexibility, Geosci. Model Dev., 17, 7595–7627, https://doi.org/10.5194/gmd-17-7595-2024, 2024. a
Bellouin, N., Quaas, J., Gryspeerdt, E., Kinne, S., Stier, P., Watson-Parris, D., Boucher, O., Carslaw, K. S., Christensen, M., Daniau, A.-L., Dufresne, J.-L., Feingold, G., Fiedler, S., Forster, P., Gettelman, A., Haywood, J. M., Lohmann, U., Malavelle, F., Mauritsen, T., McCoy, D. T., Myhre, G., Mülmenstädt, J., Neubauer, D., Possner, A., Rugenstein, M., Sato, Y., Schulz, M., Schwartz, S. E., Sourdeval, O., Storelvmo, T., Toll, V., Winker, D., and Stevens, B.: Bounding Global Aerosol Radiative Forcing of Climate Change, Rev. Geophys., 58, e2019RG000660, https://doi.org/10.1029/2019RG000660, 2020. a
Bi, K., McMeeking, G. R., Ding, D. P., Levin, E. J. T., DeMott, P. J., Zhao, D. L., Wang, F., Liu, Q., Tian, P., Ma, X. C., Chen, Y. B., Huang, M. Y., Zhang, H. L., Gordon, T. D., and Chen, P.: Measurements of Ice Nucleating Particles in Beijing, China, J. Geophys. Res.-Atmos., 124, 8065–8075, https://doi.org/10.1029/2019JD030609, 2019. a
Bogert, P.: Ice-nucleating particles in the free troposphere: long-term observation and first measurements at cirrus formation temperatures using the novel Portable Ice Nucleation Experiment PINEair, Ph.D. thesis, Karlsruher Institut für Technologie (KIT), https://doi.org/10.5445/IR/1000174265, 2024. a
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Editorial statement
This Data description paper presents a comprehensive dataset of automated, high resolution (10 min) and long-term (6 years) ice nucleating particle (INP) concentrations, from 20 sites in the Northern Hemisphere and sampled under conditions relevant for mixed-phase clouds. This dataset is unique, has high value to the cloud physics modeling community and high potential reusability.
Short summary
Ice formation in sub-zero clouds is influenced by airborne particles called ice-nucleating particles (INPs), whose concentrations vary substantially over short time and spatial scales. To assess the role of INPs in our climate, a comprehensive and consistent global dataset is essential. Our GloPINE model-ready dataset is a major step in this direction, comprising 36,000 measurements made using a single instrument design (PINE) over 70,000 hours of operation at 20 Northern Hemisphere sites.
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