Long-term variability in immersion-mode marine ice-nucleating particles from climate model simulations and observations

Raman, Aishwarya; Hill, Thomas; DeMott, Paul J.; Singh, Balwinder; Zhang, Kai; Ma, Po-Lun; Wu, Mingxuan; Wang, Hailong; Alexander, Simon P.; Burrows, Susannah M.

doi:https://doi.org/10.5194/acp-23-5735-2023

Articles | Volume 23, issue 10

https://doi.org/10.5194/acp-23-5735-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-5735-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 10

Research article

|

23 May 2023

Research article |

| 23 May 2023

Long-term variability in immersion-mode marine ice-nucleating particles from climate model simulations and observations

Aishwarya Raman, Thomas Hill, Paul J. DeMott, Balwinder Singh, Kai Zhang, Po-Lun Ma, Mingxuan Wu, Hailong Wang, Simon P. Alexander, and Susannah M. Burrows

Supplement

https://doi.org/10.5194/acp-23-5735-2023-supplement

Data sets

Data and Python scripts Aishwarya Raman, Thomas Hill, Paul J. DeMott, Balwinder Singh, Kai Zhang, Po-Lun Ma, Mingxuan Wu, Hailong Wang, Simon P. Alexander, and Susannah M. Burrows 1Pacific Northwest National Laboratory, 902 Battelle Blvd, Richland, WA 99354 2Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523-1371, USA 3Australian Antarctic Division, Kingston, Tasmania, Australia 4Australian Antarctic Program Partnership, Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia https://doi.org/10.5281/zenodo.7790011

Distance to the nearest land/coastline (including small subantarctic islands) for the five-minute average cruise track of the Antarctic Circumnavigation Expedition (ACE) during the austral summer of 2016/2017 (1.0) M. Volpi, S. Landwehr, J. Thomas, and J. Schmale https://doi.org/10.5281/zenodo.3832045

Ice nucleating particle concentrations at Macquarie Island T. Hill https://doi.org/10.5439/1638330

MARCUS Ice Nucleating Particle Measurements (revised 7/2020) P. DeMott https://doi.org/10.5439/1638968

Organic and Elemental Composition of Submicron Aerosol Particles during AWARE at McMurdo Station, Antarctica J. Liu, S. Lewis, and L. M. Russell https://doi.org/10.6075/J0WM1BKV

Long-term measurements of the transport of African mineral dust to the southeastern United States: Implications for regional air quality (https://aerocom-classic.met.no/DATA/download/DUST_BENCHMARK_HUNEEUS2011/) J. M. Prospero https://doi.org/10.1029/1999JD900072

The NASA Atmospheric Tomography (ATom) Mission: Imaging the Chemistry of the Global Atmosphere (https://espo.nasa.gov/atom/archive/browse/atom/DC8/MER-SAGA-AERO) C. R. Thompson et al. https://doi.org/10.1175/BAMS-D-20-0315.1

Model code and software

Energy Exascale Earth System Model v1.0 E3SM Project, DOE https://doi.org/10.11578/E3SM/dc.20180418.36

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Short summary

Ice-nucleating particles (INPs) play an important role in cloud processes and associated precipitation. Yet, INPs are not accurately represented in climate models. This study attempts to uncover these gaps by comparing model-simulated INP concentrations against field campaign measurements in the SO for an entire year, 2017–2018. Differences in INP concentrations and variability between the model and observations have major implications for modeling cloud properties in high latitudes.