The benefits of lower ozone due to air pollution emission reductions (2002–2011) in the Eastern United States during extreme heat

Loughner, Christopher P.; Follette-Cook, Melanie B.; Duncan, Bryan N.; Hains, Jennifer; Pickering, Kenneth E.; Moy, Justin; Tzortziou, Maria

doi:10.1080/10962247.2019.1694089

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

The benefits of lower ozone due to air pollution emission reductions (2002–2011) in the Eastern United States during extreme heat

2020
By Loughner, Christopher P. ; Follette-Cook, Melanie B. ; Duncan, Bryan N. ; ...
Source: Journal of the Air & Waste Management Association, 70(2), 193-205

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Journal Title:

Journal of the Air & Waste Management Association
Personal Author:

Loughner, Christopher P. ; Follette-Cook, Melanie B. ; Duncan, Bryan N. ; Hains, Jennifer ; Pickering, Kenneth E. ; ... More +

Loughner, Christopher P. ; Follette-Cook, Melanie B. ; Duncan, Bryan N. ; Hains, Jennifer ; Pickering, Kenneth E. ; Moy, Justin ; Tzortziou, Maria Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; ARL (Air Resources Laboratory) ; CISESS (Cooperative Institute for Satellite Earth System Studies)

OAR (Oceanic and Atmospheric Research) ; ARL (Air Resources Laboratory) ; CISESS (Cooperative Institute for Satellite Earth System Studies) Less -
Description:

Atmospheric rivers (AR) contribute a significant portion of the precipitation for the United States’ west coast. Flooding events caused by ARs can create millions of dollars in damages. Identifying probable ARs and early warning of potential flooding events can provide state and local agencies the time to prepare for such events. The Bay Area Advanced Quantitative Precipitation Information (AQPI) system links users with varied meteorological data ranging from weather radar observations, short term forecasts (Nowcast), 12-hour forecasts, and coastal inundation modeling data. The range of data types presents an opportunity for proactive responses by the users; however, it also presents the challenge of ensuring the correct data is available to the appropriate user. Through Model Based Systems Engineering (MBSE) Behavioral Analysis, the AQPI team analyzes the appropriate requirements for each of the different types of AQPI users. MBSE behavioral analysis leads to the development of a system that services the broad user community’s needs while giving each user group a specific interface tailored for them. This engineering approach also allows for the separation of the processing and weather model execution from the user interface. This separation allows for development and advancements in processing without being tied to the user interfaces.
Source:

Journal of the Air & Waste Management Association, 70(2), 193-205
DOI:

https://doi.org/10.1080/10962247.2019.1694089
ISSN:

1096-2247;2162-2906;
Format:

PDF
Publisher:

Informa UK Limited
Document Type:

Journal Article
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Accepted Manuscript
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Submitted
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urn:sha-512:093831919c301e772918eb5a8c6b5954bf5b65a80d6f8cae4b5b2d0d55fbdb953c4b7d375d1defdf5c352df913dc7981be33c1d575a95442e7c7d226b20952ca
Download URL:

https://repository.library.noaa.gov/view/noaa/65739/noaa_65739_DS1.pdf
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