Development of Heterogeneous Ice Nucleation Rate Coefficient Parameterizations From Ambient Measurements
Abstract
Ice nucleating particles (INPs) are a rare subset of particles that can have an outsized impact relative to their prevalence. To simulate INP variability, models require parameterizations for the most important sources of INPs. Most parameterizations in the literature were developed from laboratory experiments that used proxies for ambient particles. Whether these laboratory models effectively represent ambient aerosol is still not well understood and parameterizations developed from field measurements may be more atmospherically relevant. Expanding on previous work in which we used an ice chamber and a single‐particle mass spectrometer (SPMS) to characterize INP composition, we calculate heterogeneous ice nucleation rate coefficients for ambient particles. We find good agreement between our dust and previous measurements of airborne dust. We also use a Monte Carlo approach to assess the relative contribution of each measurement to the uncertainty and find that the biggest source is the sampling efficiency of the SPMS.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 30, 2021
- Source ID
- 10.1029/2021gl095359
Entities
People
- Christina S. McCluskey
- Gavin C. Cornwell
- Kimberly Prather
- Paul DeMott
- Susannah M. Burrows
Organizations
- Colorado State University
- National Center for Atmospheric Research
- National Science Foundation
- Pacific Northwest National Laboratory
- United States Department of Energy
- University of California, San Diego