Characterizing the Nature of Supermicrometer Aerosol Particles in the Marine Atmosphere: Examination of Field Data in Conjunction with Navy Products
Abstract
The planned research involves in-depth analysis of supermicrometer aerosol measurements from past campaigns the PI has executed with the CIRPAS Twin Otter (MASE I 2005, MASE II 2007, E-PEACE 2011, NiCE 2013, BOAS 2015, FASE 2016, MACAWS 2018, MONARC 2019) and an additional campaign his group supported in September 2020 focused on wildfires over California (via collaboration with CIRPAS). The PIs group has archived and published technical details and usage notes for the relevant datasets to examine these larger particles (Sorooshian et al., 2018, 2019), but have yet to comprehensively characterize and explore them to identify their overall abundance, spatiotemporal distribution, and relationships with environmental properties. An initial attempt with a limited dataset was conducted by Schlosser et al. (2020). Specific objectives to be addressed are as follows:Conduct a thorough review of how models treat supermicrometer particles. The goal of this objective is to provide a referenceto be used by the international community and to motivating converging towards a more standard definition (e.g., minimum dry diameter) of parameters such as GCCN. The other outcome of this objective is to inform what minimum diameter value to use for analysis tasks in this work.Intercompare supermicrometer particle measurements between different instruments available in the field campaign datasets (CAS, CDP, FSSP) and assess which one(s) are most robust to use for the analysis tasks. Characterize and compare supermicrometer aerosol particle characteristics in diverse environments where data can be accessed (e.g., the CIRPAS campaigns based in Marina, CA; CAMP2Ex based in the Philippines; ACTIVATE based over the western North Atlantic Ocean). Factors to be analyzed include: size distribution shape, overall number concentration, dry count median diameter, dry volumetric median diameter, geometric standard deviation, and vertical and spatial profiles. Using supplementary datasets, determine the predominant sources of the supermicrometer particles. Of particular interest is determining how common and abundant supermicrometer dust particles are in biomass burning plumes.Examine relationships between supermicrometer particles and clouds/precipitation.Compare findings from the field data analysis to relevant Navy products (NAAPS, COAMPS) with the goal of finding ways to determined how well those products perform and to suggest potential improvements.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 06, 2021
- Source ID
- N000142112115
Entities
People
- Armin Sorooshian
Organizations
- Office of Naval Research
- United States Navy
- University of Arizona