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

@article{herbert2026glopine,
  title = {{GloPINE dataset: model-ready measurements of INP concentrations using PINE instruments}},
  author = {Ross James Herbert and Larissa Lacher and Alexander Julian Böhmländer and Mark Duncan Tarn and Antoine Canzi and Aidan D. Pantoya and Evelyn J. Freney and Kristina Höhler and Pia Bogert and Céline Planche and Ping Tian and Michael P. Adams and Sarah Barr and David Brus and Nicole Büttner and Martin Ian Daily and Konstantinos Doulgeris and Konstantinos Eleftheriadis and Grant Leonard Forster and Romy Ullrich and Dimitrios G. Georgakopoulos and Maria I. Gini and Anna Gannet Hallar and Radovan Krejčí and Elke Ludewig and Mauro Mazzola and Ian B. McCubbin and Athanasios Nenes and Tuukka Petäjä and Joseph R. Robinson and Franziska Vogel and Paul Zieger and S. R. Arnold and K. S. Carslaw and Naruki Hiranuma and Ottmar Möhler and Benjamin John Murray},
  journal = {Earth System Science Data},
  year = {2026},
  month = sep,
  doi = {10.5194/essd-18-6465-2026},
  url = {https://hal.science/hal-05739057v1},
  note = {CC BY 4.0},
}

TY  - JOUR
TI  - GloPINE dataset: model-ready measurements of INP concentrations using PINE instruments
AU  - Ross James Herbert
AU  - Larissa Lacher
AU  - Alexander Julian Böhmländer
AU  - Mark Duncan Tarn
AU  - Antoine Canzi
AU  - Aidan D. Pantoya
AU  - Evelyn J. Freney
AU  - Kristina Höhler
AU  - Pia Bogert
AU  - Céline Planche
AU  - Ping Tian
AU  - Michael P. Adams
AU  - Sarah Barr
AU  - David Brus
AU  - Nicole Büttner
AU  - Martin Ian Daily
AU  - Konstantinos Doulgeris
AU  - Konstantinos Eleftheriadis
AU  - Grant Leonard Forster
AU  - Romy Ullrich
AU  - Dimitrios G. Georgakopoulos
AU  - Maria I. Gini
AU  - Anna Gannet Hallar
AU  - Radovan Krejčí
AU  - Elke Ludewig
AU  - Mauro Mazzola
AU  - Ian B. McCubbin
AU  - Athanasios Nenes
AU  - Tuukka Petäjä
AU  - Joseph R. Robinson
AU  - Franziska Vogel
AU  - Paul Zieger
AU  - S. R. Arnold
AU  - K. S. Carslaw
AU  - Naruki Hiranuma
AU  - Ottmar Möhler
AU  - Benjamin John Murray
PY  - 2026
DA  - 2026/09/04
JO  - Earth System Science Data
DO  - 10.5194/essd-18-6465-2026
UR  - https://hal.science/hal-05739057v1
AB  - Ice-nucleating particles (INPs) are a subset of aerosol particles that facilitate the freezing of supercooled cloud droplets heterogeneously and influence the radiative properties of supercooled clouds. The role of INPs in the Earth system remains unquantified in part due to poorly constrained representations of their spatial distributions and properties in global and regional models. In this study, we present a quality controlled dataset (https://doi.org/10.5281/zenodo.16745514, Herbert et al., 2026), called GloPINE, comprising 70 000 h of INP concentrations measured using Portable Ice Nucleation Experiment (PINE) instruments that use an expansion chamber to make automated long-term (months to years) and high temporal resolution (<10 min). We collate measurements from 20 recent ground-based PINE field campaigns in the Northern Hemisphere conducted between January 2018 and December 2023, totaling more than 400 000 expansions, sampling over 800 m3 of ambient air, and performed under conditions relevant for mixed-phase clouds. In the GloPINE dataset, we subset and average the PINE measurements across synoptically relevant time intervals of 6 h and 2 K temperature bins, providing 36 000 INP measurements. Combining PINE expansions over these intervals enhances counting statistics at higher freezing temperatures, decreases the lower limit of measurable INP concentrations, and provides an INP dataset readily applicable to model simulation data and meteorological reanalysis products. Together with complementary INP datasets, GloPINE provides a valuable resource for advancing model evaluation, improving INP source attribution, and informing parameterizations across the full temperature range over which aerosols influence ice formation in clouds.
SN  - 1866-3508
SN  - 1866-3516
ER  -