Open AccessQuantitative analysis of NO x emissions from Global Ozone Monitoring Experiment satellite image sequences
Author(s) -
Leue C.,
Wenig M.,
Wagner T.,
Klimm Oliver,
Platt U.,
Jähne B.
Publication year - 2001
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2000jd900572
Subject(s) - differential optical absorption spectroscopy , troposphere , satellite , trace gas , environmental science , remote sensing , inversion (geology) , tropospheric ozone , stratosphere , meteorology , atmospheric chemistry , imaging spectrometer , atmospheric composition , spectrometer , ozone , algorithm , computer science , absorption (acoustics) , geology , physics , optics , structural basin , paleontology , astronomy
Nitric oxides (NO x ) play a very important role among the anthropogenic trace gases. They affect human health and have an impact on ozone chemistry and climatic change. Here we describe a new method for the quantification of the global NO x budget from image sequences of the Global Ozone Monitoring Experiment (GOME) spectrometer on board the ERS 2 satellite. In contrast to measurements using ground‐based or balloon‐ or aircraft‐borne sensors, this instrument provides, for the first time, the possibility of observing global maps of NO 2 column densities. As part of this work, algorithms were developed to analyze GOME spectra numerically and to extract physically relevant parameters from the resulting maps using image‐processing techniques. Column densities of NO x were determined using differential optical absorption spectroscopy (DOAS) [ Platt , 1994]. By the combined use of an efficient B‐spline interpolation and an inversion algorithm based on Householder transformations, the numerical algorithms accelerate the retrievals by a factor of 26 with respect to previous methods. Moreover, techniques are presented for separating tropospheric and stratospheric NO 2 colums and estimating the lifetime of NO 2 in the troposphere. This allows determination of regional NO x source strengths. Independent of traditional methods, a global source strength of (43±20) Tg N yr −1 is estimated. The accuracy of this method is comparable to that of established statistical approaches.