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Testing Extensions of Our Quantitative Daily of San Joaquin Wintertime Aerosols Using MAIAC and Meteorology Without Transport/Transformation Assumptions
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Author and Affiliation:
Chatfield, Robert B.(NASA Ames Research Center, Moffett Field, CA, United States)
Sorek Hamer, Meytar(Universities Space Research Association, Boulder, CO, United States)
Esswein, Robert F.(Bay Area Environmental Research Inst., Moffett Field, CA, United States)
Abstract: The Western US and many regions globally present daunting difficulties in understanding and mapping PM2.5 episodes. We evaluate extensions of a method independent of source-description and transport/transformation. These regions suffer frequent few-day episodes due to shallow mixing; low satellite AOT and bright surfaces complicate the description. Nevertheless, we expect residual errors in our maps of less than 8 ug/m^3 in episodes reaching 60-100 ug/m^3; maps which detail pollution from Interstate 5. Our current success is due to use of physically meaningful functions of MODIS-MAIAC-derived AOD, afternoon mixed-layer height, and relative humidity for a basin in which the latter are correlated. A mixed-effects model then describes a daily AOT-to-PM2.5 relationship. (Note: in other published mixed-effects models, AOT contributes minimally. We seek to extend on these to develop useful estimation methods for similar situations. We evaluate existing but more spotty information on size distribution (AERONET, MISR, MAIA, CALIPSO, other remote sensing). We also describe the usefulness of an equivalent mixing depth for water vapor vs meteorological boundary layer height. Each has virtues and limitations. Finally, we begin to evaluate methods for removing the complications due to detached but polluted layers (which don't mix to the surface) using geographical, meteorological, and remotely sensed data.
Publication Date: Dec 06, 2017
Document ID:
20170011612
(Acquired Dec 14, 2017)
Subject Category: GEOSCIENCES (GENERAL); METEOROLOGY AND CLIMATOLOGY
Report/Patent Number: ARC-E-DAA-TN49972
Document Type: Conference Paper
Meeting Information: International Aerosol Modeling Algorithms Conference; 6-8 Dec. 2017; Davis, CA; United States
Meeting Sponsor: California Environmental Protection Agency; Sacramento, CA, United States
Contract/Grant/Task Num: NNH15CO48B; NNX12AD05A
Financial Sponsor: NASA Ames Research Center; Moffett Field, CA, United States
Organization Source: NASA Ames Research Center; Moffett Field, CA, United States
Description: 3p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright; Public use permitted
NASA Terms: WINTER; REMOTE SENSING; AEROSOLS; METEOROLOGY; METEOROLOGICAL PARAMETERS; OPTICAL THICKNESS; IMAGING SPECTROMETERS; ATMOSPHERIC CORRECTION; SAN JOAQUIN VALLEY (CA); WATER VAPOR; MIXING HEIGHT; HUMIDITY; AIR QUALITY; ERRORS
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