[MIRA] Dr. Soojin Park, MIRA Webinar in ~10 minutes

Mon Jul 10 18:49:40 PDT 2023

Folks,

The next Morphing MIRA webinar is in ~10 minutes at 2 GMT (click here to participate<https://gcc02.safelinks.protection.outlook.com/ap/t-59584e83/?url=https%3A%2F%2Fteams.microsoft.com%2Fl%2Fmeetup-join%2F19%253ameeting_YmExOThlMmQtMzc4YS00MWJmLWE0MWEtODZiZjUwZDVhZmE4%2540thread.v2%2F0%3Fcontext%3D%257b%2522Tid%2522%253a%25227005d458-45be-48ae-8140-d43da96dd17b%2522%252c%2522Oid%2522%253a%2522408095f5-ff81-4889-a108-9cd9cd752d5c%2522%257d&data=05%7C01%7Cmira%40espo.nasa.gov%7Cf79aefc335284758092208db81b11b61%7C7005d45845be48ae8140d43da96dd17b%7C0%7C0%7C638246369910340412%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=%2B3fyOTFjmmKKdN67JaqHwDrNilVgDS3rR%2BcGZHKNw7s%3D&reserved=0>).

Dr. Soojin Park will present the material shown in the abstract below.
If the webinar link does not work, try pasting this url into your browser:
https://gcc02.safelinks.protection.outlook.com/ap/t-59584e83/?url=https%3A%2F%2Fteams.microsoft.com%2Fl%2Fmeetup-join%2F19%253ameeting_YmExOThlMmQtMzc4YS00MWJmLWE0MWEtODZiZjUwZDVhZmE4%2540thread.v2%2F0%3Fcontext%3D%257b%2522Tid%2522%253a%25227005d458-45be-48ae-8140-d43da96dd17b%2522%252c%2522Oid%2522%253a%2522408095f5-ff81-4889-a108-9cd9cd752d5c%2522%257d&data=05%7C01%7Cmira%40espo.nasa.gov%7Cf79aefc335284758092208db81b11b61%7C7005d45845be48ae8140d43da96dd17b%7C0%7C0%7C638246369910340412%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=%2B3fyOTFjmmKKdN67JaqHwDrNilVgDS3rR%2BcGZHKNw7s%3D&reserved=0<https://gcc02.safelinks.protection.outlook.com/ap/t-59584e83/?url=https%3A%2F%2Fteams.microsoft.com%2Fl%2Fmeetup-join%2F19%253ameeting_YmExOThlMmQtMzc4YS00MWJmLWE0MWEtODZiZjUwZDVhZmE4%2540thread.v2%2F0%3Fcontext%3D%257b%2522Tid%2522%253a%25227005d458-45be-48ae-8140-d43da96dd17b%2522%252c%2522Oid%2522%253a%2522408095f5-ff81-4889-a108-9cd9cd752d5c%2522%257d&data=05%7C01%7Cmira%40espo.nasa.gov%7Cf79aefc335284758092208db81b11b61%7C7005d45845be48ae8140d43da96dd17b%7C0%7C0%7C638246369910340412%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=%2B3fyOTFjmmKKdN67JaqHwDrNilVgDS3rR%2BcGZHKNw7s%3D&reserved=0>

-Greg

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Gregory L  Schuster, PhD
NASA Langley Research Center
Mail Stop 420
Hampton, VA 23681

Models, In situ, and Remote sensing of Aerosols (MIRA) webpage:
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Webinar Abstract

Boundary-layer aerosols observed in a polluted megacity (Seoul, Korea) from multiple lidar measurements: Implications on particulate matter (PM) simulations
Soojin Park
School of Earth and Environmental Sciences, Seoul National University
Contributed by:
Sang-Woo Kim, Man-Hae Kim, Jong-Uk Park (School of Earth and Environmental Sciences, Seoul National University)
Robert Holz, Ralph Kuehn, Edwin Eloranta (Space Science and Engineering Center, University of Wisconsin- Madison),
Ali H. Omar (NASA Langley Research Center),
Hyo-Jung Lee, Cheol-Hee Kim (Pusan National University),
Atsushi Shimizu, Tomoaki Nishizawa (National Institute for Environmental Studies),
Jin-Soo Park, Joonyoung Ahn (Climate and Air QualityResearch Department, NationalInstitute of Environmental Research)
The mixing layer height (MLH) is often defined as the height up to which turbulent mixing creates an environment favorable for the redistribution of temperature, mass, and humidity. The MLH has been widely investigated to understand its implications on the vertical distribution of pollutants, especially in regions suffering from high pollution levels. Ground-based remote sensing techniques have been commonly used to retrieve MLH since they can probe atmospheric characteristics at dense temporal resolutions. In this study, we estimateMLH from co-located elastic aerosol lidar, ceilometer, and wind Doppler lidar (WDL) measurements obtained in Seoul, Republic of Korea, and inter-compare the results to discuss the advantages and limitations of each method. Secondly, MLH from elastic aerosol lidar and WDL are compared with atmospheric chemistry transport model simulations to evaluate the accuracy of the MLH simulation in the model and discuss how model-estimated MLH affects surface PM concentration simulation results. For two case studies during the KORUS-AQ campaign of 12 and 18 May 2016, implicating full mixing within the MLH defined by aerosol lidar measurements on WRF-Chem PM2.5 vertical distribution simulations was shown to significantly reduce model PM2.5 simulation errors from mean normalized bias (MNB) of 52% to 19%.
Furthermore, aerosol-type specific lidar ratio and mass extinction efficiency (MEE) values are determined from the two-year measurements of the University of Wisconsin-Madison High Spectral Resolution Lidar (HSRL) deployed in Seoul (2016-2018). Implications of the use of type-specific lidar ratios and MEE are examined in calculating extinction coefficient calculations from Mie-scattering lidar measurements and estimating PM10 profiles from lidar observations.

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