ARL Weekly News – October 18, 2019

ASMD A paper titled ”The evaluation of mixing methods in HYSPLIT using measurements from controlled tracer experiments” authored by Fong Ngan, Christopher P.Loughner, and Ariel Stein, has been accepted for publication in Atmospheric Environment. In this paper, we evaluated the turbulent mixing methods available in HYSPLIT and their impacts on dispersion results as compared against…

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ARL Weekly News – October 4, 2019

ASMD ARL Acting Deputy Director Dr. Ariel Stein will teach a HYSPLIT workshop at the University of Huelva in Huelva, Spain, from October 7-9, 2019, along with retired NOAA scientist and HYSPLIT developer Roland Draxler. This workshop is tailored to bolster interactions with the scientific community and promote the exchange of ideas related to solving atmospheric dispersion…

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ARL Weekly News – September 20, 2019

ASMD Dr. Pius Lee will attend the 37th International Technical Meeting on Air Pollution Modelling and its Application (ITM 2019) in Hamburg, Germany, from September 23-27. While there, he will present “Satellite-aided regional dust forecast to mitigate impact of valley fever and visibility-impairment adverse effects in Southwestern United States,” co-authored by his ASMD colleagues Daniel…

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ARL Weekly News – August 30, 2019

ASMD Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ): ASMD staff (Drs. Patrick Campbell, Youhua Tang, Daniel Tong and Pius Lee) are continuing to provide forecasting support to the joint NOAA-NASA FIREX-AQ campaign in the Western U.S. using comprehensive air quality simulations and near real-time wildfire detection from NOAA satellites similar to…

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ARL Weekly News – August 16, 2019

ATDD LaToya Myles attended the 2019 NOAA Leadership Seminar (NLS) held at the Airlie Conference Center in Warrenton, Virginia. NLS 2019 was a five-day residential leadership development program open to all federal employees. “The Right Results, The Right Way” was this year’s theme. Participants focused on the leadership area of ECQ 3: Results Driven as…

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