A072-02
Empirical formulation for multiple groups of primary biological ice nucleating particles from field observations over Amazonia.
Wednesday, 9 December 2020: 10:34
Virtual
Sachin Ganpat Patade1, Vaughan T Phillips2, Pierre Amato3, Heinz Bingemer4, Susannah M Burrows5, Paul J DeMott6, Fabio Luiz Teixeira Gonçalves7, Daniel Alexander Knopf8, Cindy E Morris9, Carl Alwmark10, Paulo Artaxo11, Christopher Pöhlker12, Jann Schrod13, Bettina Weber12 and Paul J. DeMott, (1)Lund University, Department of Physical Geography, Lund, Sweden, (2)Lund University, Department of Physical Geography and Ecosystem Science, Lund, Sweden, (3)UMR 6296 CNRS-Université Blaise Pascal-ENSCCF, ICCF SEESIB, Aubière, France, (4)University of Frankfurt, Frankfurt, Germany, (5)Pacific Northwest National Laboratory, Richland, WA, United States, (6)Colorado State University, Fort Collins, CO, United States, (7)University of Sao Paulo, Sao Paulo, Brazil, (8)Stony Brook University, School of Marine and Atmospheric Sciences, Stony Brook, NY, United States, (9)INRA, Plant Pathology Research Unit, PACA Research Center, Montfavet, France, (10)Department of Geology, Lund University, Lund, Sweden, (11)University of São Paulo, Physics Institute, São Paulo, Brazil, (12)Max Planck Institute for Chemistry, Multiphase Chemistry Department, Mainz, Germany, (13)J.W. Goethe University Frankfurt, Institute for Atmospheric and Environmental Sciences, Frankfurt am Main, Germany
Abstract:
An extension of the empirical parameterization (EP) (Phillips et al. 2008; 2013) is proposed to predict the active ice nuclei (IN) from multiple groups of primary biological aerosol particles (PBAPs) based on coincident observations of PBAP sizes, concentrations, biological composition, and ice-nucleating ability. The PBAPs are organized by the parameterization 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 comparing predicted and observed concentrations of PBAP IN at the Amazon Tall Tower Observatory (ATTO) site located in the central Amazon. The parameterization has empirically derived dependencies on the surface area of each group, and the effects of variability in their mean sizes and number concentrations are represented via their influences on the surface area.
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.
