Vaughan T. J. Phillips, Cindy E. Morris, Paul J. DeMott, Susannah M. Burrows, Sachin Patade, Bettina Weber, Fábio Luiz Teixeira Gonçalves, Christopher Pöhlker, Pierre Amato, Jann Schrod, Heinz Bingemer, Carl Alwmark, Daniel A. Knopf, Paulo Artaxo, Department of Physical Geography and Ecosystem Science [Lund], Lund University [Lund], Institut de Chimie de Clermont-Ferrand (ICCF), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne), Université Clermont Auvergne (UCA)-Université Clermont Auvergne (UCA), Institute for Atmospheric and Environmental Sciences [Frankfurt/Main] (IAU), Goethe-University Frankfurt am Main, Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory (PNNL), Department of Atmospheric Science [Fort Collins], Colorado State University [Fort Collins] (CSU), Departamento de Ciencias Atmosfericas [São Paulo], Instituto de Astronomia, Geofísica e Ciências Atmosféricas [São Paulo] (IAG), Universidade de São Paulo = University of São Paulo (USP)-Universidade de São Paulo = University of São Paulo (USP), Institute for Terrestrial and Planetary Atmospheres [Stony Brook] (ITPA), School of Marine and Atmospheric Sciences [Stony Brook] (SoMAS), Stony Brook University [SUNY] (SBU), State University of New York (SUNY)-State University of New York (SUNY)-Stony Brook University [SUNY] (SBU), State University of New York (SUNY)-State University of New York (SUNY), Unité de Pathologie Végétale (PV), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Geology [Lund], Universidade de São Paulo = University of São Paulo (USP), Multiphase Chemistry Department [Mainz], Max Planck Institute for Chemistry (MPIC), Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Karl-Franzens-Universität Graz, Swedish Research Council (‘Vetenskapsradet’), German Federal Ministry of Education and Research (BMBF contracts 01LB1001A, 01LK1602A and 01LK1602B), U.S. National Science Foundation Award #1660486, NASA award NNX17AJ12G, Deutsche Forschungsgemeinschaft (DFG) under the Research Unit FOR 1525 (INUIT), Max Planck Society, Brazilian Ministério da Ciência, Tecnologia e Inovação (MCTI/FINEP contract 01.11.01248.00), Amazon State University (UEA), FAPEAM, LBA/INPA, SDS/CEUC/RDS-Uatumã, U.S. Department of Energy, Office of Science (BER), Atmospheric System Research (DE-SC0018929, DE-SC0016370, DE-SC0020006), European Project: 603445,EC:FP7:ENV,FP7-ENV-2013-two-stage,BACCHUS(2013), Universidade de São Paulo (USP)-Universidade de São Paulo (USP), Universidade de São Paulo (USP), Karl-Franzens-Universität [Graz, Autriche], and University of Graz
To resolve the various types of biological ice nuclei (IN) with atmospheric models, an extension of the empirical parameterization (EP) (Phillips et al. 2008; 2013) is proposed to predict the active IN from multiple groups of primary biological aerosol particles (PBAPs). Our approach is to utilize coincident observations of PBAP sizes, concentrations, biological composition, and ice-nucleating ability. The parameterization organizes the PBAPs into five basic groups: fungal spores, bacteria, pollen, viral particles, plant/animal detritus, algae, and their respective fragments. This new biological component of the EP was constructed by fitting predicted concentrations of PBAP IN to those observed at the Amazon Tall Tower Observatory (ATTO) site located in the central Amazon. The fitting parameters for pollen and viral particles, plant/animal detritus, which are much less active as IN than fungal and bacterial groups, are constrained based on their ice nucleation activity from the literature. The parameterization has empirically derived dependencies on the surface area of each group (except algae), and the effects of variability in their mean sizes and number concentrations are represented via their influences on the surface area. The concentration of active algal IN is estimated from literature-based measurements.Predictions of this new biological component of the EP are consistent with previous laboratory and field observations not used in its construction. The EP scheme was implemented in a 0D parcel model. It confirms that biological IN account for most of the total IN activation at temperatures warmer than −20°C and at colder temperatures dust and soot become increasingly more important to ice nucleation.