Next Article in Journal
Retrieval of Aerosol Optical Depth over Arid Areas from MODIS Data
Next Article in Special Issue
Sensitive versus Rough Dependence under Initial Conditions in Atmospheric Flow Regimes
Previous Article in Journal
A Study of Preliminary Breakdown and Return Stroke Processes in High-Intensity Negative Lightning Discharges
Previous Article in Special Issue
Measurements and Analysis of Polycyclic Aromatic Hydrocarbons near a Major Interstate
Article Menu

Export Article

Open AccessArticle
Atmosphere 2016, 7(10), 132; doi:10.3390/atmos7100132

Inverse Modeling of Nitrogen Oxides Emissions from the 2010 Russian Wildfires by Using Satellite Measurements of Nitrogen Dioxide

1
Institute of Applied Physics, Russian Academy of Sciences, 46 Ulyanov Str., Nizhniy Novgorod 603950, Russia
2
Institute for Physics of Microstructures, Russian Academy of Sciences, Afonino, 7 Academicheskaya Street, Nizhniy Novgorod 603087, Russia
*
Authors to whom correspondence should be addressed.
Academic Editor: Anthony R. Lupo
Received: 6 September 2016 / Revised: 8 October 2016 / Accepted: 12 October 2016 / Published: 16 October 2016
View Full-Text   |   Download PDF [2651 KB, uploaded 21 October 2016]   |  

Abstract

Observational constraints to biomass burning (BB) NOx emissions as provided by satellite measurements of nitrogen dioxide (NO2) critically depend on quantitative assumptions regarding the atmospheric NOx lifetime. In this study, we investigated NOx emissions from the extreme wildfires that occurred in the European part of Russia in summer 2010 by using an original inverse modeling method that allowed us to avoid any a priori assumptions regarding the NOx lifetime. The method was applied to the tropospheric NO2 columns retrieved from the measurements performed by the OMI satellite instrument, while the relationship between BB NOx emissions and tropospheric NO2 columns was simulated with the CHIMERE mesoscale chemistry transport model. Our analysis indicated that this relationship depends strongly on BB emissions of volatile organic compounds and that a dependence of the effective NOx lifetime on the NOx fluxes can be essentially nonlinear. Our estimates of the total NOx emissions in the study region are found to be at least 40% larger compared to the respective data from the GFASv1.0 and GFED4.1s global fire emission inventories. View Full-Text
Keywords: nitrogen oxides; wildfires; satellite measurements; chemistry transport model; inverse modeling; biomass burning emissions nitrogen oxides; wildfires; satellite measurements; chemistry transport model; inverse modeling; biomass burning emissions
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Berezin, E.V.; Konovalov, I.B.; Romanova, Y.Y. Inverse Modeling of Nitrogen Oxides Emissions from the 2010 Russian Wildfires by Using Satellite Measurements of Nitrogen Dioxide. Atmosphere 2016, 7, 132.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Atmosphere EISSN 2073-4433 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top