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Using satellite observed formaldehyde (HCHO) and nitrogen dioxide (NO2) as an indicator of ozone sensitivity in a SIP

Xiaomeng Jin; Arlene M. Fiore; Michael Geigert

Title:
Using satellite observed formaldehyde (HCHO) and nitrogen dioxide (NO2) as an indicator of ozone sensitivity in a SIP
Author(s):
Jin, Xiaomeng
Fiore, Arlene M.
Geigert, Michael
Date:
Type:
Reports
Department(s):
Lamont-Doherty Earth Observatory
Persistent URL:
Notes:
Access processing tools that accompany this technical guidance document at https://blog.ldeo.columbia.edu/atmoschem/datasets/. This document was produced by the NASA HAQAST Tiger Team "Supporting the Use of Satellite Data in State Implementation Plans (SIPs)" led by Professor Arlene Fiore. For additional resources see: https://airquality.gsfc.nasa.gov/aq-managers.
Publisher:
NASA Health and Air Quality Applied Sciences Team
Abstract:
Although State Implementation Plans (SIPs) typically rely on observations from ground-based networks and regulatory models, satellite data is increasingly available to state agencies and can also inform and supplement state implementation plans to improve air quality. An advantage of satellite data is that it provides information for a broader area than sampled by ground-based networks. This document provides examples and guidance for using satellite products of formaldehyde (HCHO) and nitrogen dioxide (NO2) to inform ground-level ozone sensitivity to emissions of nitrogen oxides (NOx) versus volatile organic compounds (VOC) in state implementation plans. Analysis of changes in ozone sensitivity over periods where emission controls have been implemented can provide insights into the efficacy of those past strategies and the likely efficacy of proposed future emission control programs.
Subject(s):
Air quality
Air quality--Measurement
Air quality management
Air quality management--Evaluation
Item views
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Metadata:
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Suggested Citation:
Xiaomeng Jin, Arlene M. Fiore, Michael Geigert, , Using satellite observed formaldehyde (HCHO) and nitrogen dioxide (NO2) as an indicator of ozone sensitivity in a SIP, Columbia University Academic Commons, .

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