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Featured researches published by K. F. Boersma.


Journal of Geophysical Research | 2007

Intercomparison of SCIAMACHY nitrogen dioxide observations, in situ measurements and air quality modeling results over Western Europe

Nadège Blond; K. F. Boersma; Henk Eskes; M. Van Roozendael; I. De Smedt; G. Bergametti; R. Vautard

[1] The Scanning Imaging Absorption Spectrometer for Atmospheric Cartography (SCIAMACHY) satellite spectrometer provides detailed information on the nitrogen dioxide (NO 2) content in the planetary boundary layer. NO 2 tropospheric column retrievals of SCIAMACHY and its predecessor Global Ozone Monitoring Experiment are characterized by errors of the order of 40%. We present here a new SCIAMACHY tropospheric retrieval data set for the year 2003. The cloud free satellite observations are compared to surface measurements and simulations over western Europe performed with the regional air-quality model CHIMERE. The model has a resolution of 50 km similar to the satellite observations. For these comparisons, averaging kernels are applied to the collocated model profiles to remove the dependency of the comparison on a priori NO 2 profile information used in the retrieval. The consistency of both SCIAMACHY and CHIMERE outputs over sites where surface measurements are available allows us to be confident in evaluation of the model over large areas not covered by surface observations. CHIMERE underestimates surface NO 2 concentrations for urban and suburban stations which we mainly attribute to the low representativeness of point observations. No such bias is found for rural locations. The yearly average SCIAMACHY and CHIMERE spatial NO 2 distributions show a high degree of quantitative agreement over rural and urban sites: a bias of 5% (relative to the retrievals) and a correlation coefficient of 0.87 (n = 2003). On a seasonal basis, biases are smaller than 20% and correlation coefficients are larger than 0.75. Spatial correlations between both the model and satellite columns and the European Monitoring and Evaluation Program (EMEP) emission inventory are high in summer (r = 0.74, n = 1779) and low in winter (r = 0.48, n = 1078), related to seasonal changes in lifetime and transport. On the other hand, CHIMERE and SCIAMACHY columns are mutually consistent in summer (r = 0.82) and in winter (r = 0.79). This shows that CHIMERE simulates the transport and chemical processes with a reasonable accuracy. The NO 2 columns show a high daily variability. The daily NO 2 pollution plumes observed by SCIAMACHY are often well described by CHIMERE both in extent and in location. This result demonstrates the capabilities of a satellite instrument such as SCIAMACHY to monitor the NO 2 concentrations over large areas on a daily basis. It provides evidence that present and future satellite missions, in combination with CTM and surface data, will contribute to improve quantitative air quality analyses at a continental scale. Citation: Blond, N., K. F. Boersma, H. J. Eskes, R. J. van der A, M. Van Roozendael, I. De Smedt, G. Bergametti, and R. Vautard (2007), Intercomparison of SCIAMACHY nitrogen dioxide observations, in situ measurements and air quality modeling results over Western Europe,


Geophysical Research Letters | 2009

Reductions of NO2 detected from space during the 2008 Beijing Olympic Games

Bas Mijling; K. F. Boersma; M. Van Roozendael; I. De Smedt; H. Kelder

During the 2008 Olympic and Paralympic Games in Beijing (from 8 August to 17 September), local authorities enforced strong measures to reduce air pollution during the events. To evaluate the direct effect of these measures, we use the tropospheric NO2 column observations from the satellite instruments GOME-2 and OMI. We interpret these data against simulations from the regional chemistry transport model CHIMERE, based on a 2006 emission inventory, and find a reduction of NO2 concentrations of approximately 60% above Beijing during the Olympic period. The air quality measures were especially effective in the Beijing area, but also noticeable in surrounding cities of Tianjin (30% reduction) and Shijiazhuang (20% reduction). Copyright 2009 by the American Geophysical Union.


Journal of Geophysical Research | 2004

Error analysis for tropospheric NO2 retrieval from space

K. F. Boersma; Henk Eskes; Ellen Brinksma


Journal of Geophysical Research | 2006

Detection of the trend and seasonal variation in tropospheric NO2 over China

D. H. M. U. Peters; Henk Eskes; K. F. Boersma; M. Van Roozendael; I. De Smedt; H. Kelder


Atmospheric Chemistry and Physics | 2003

Averaging kernels for DOAS total-column satellite retrievals

Henk Eskes; K. F. Boersma


Journal of Geophysical Research | 2010

Indirect validation of tropospheric nitrogen dioxide retrieved from the OMI satellite instrument: Insight into the seasonal variation of nitrogen oxides at northern midlatitudes

Lok N. Lamsal; Randall V. Martin; A. van Donkelaar; E.A. Celarier; Eric John Bucsela; K. F. Boersma; Ruud J. Dirksen; Chengwei Luo; Yuhang Wang


Atmospheric Chemistry and Physics | 2006

Multi-model ensemble simulations of tropospheric NO2 compared with GOME retrievals for the year 2000

T. van Noije; Henk Eskes; F. Dentener; David S. Stevenson; K. Ellingsen; Martin G. Schultz; Oliver Wild; M. Amann; C. S. Atherton; D. Bergmann; I. Bey; K. F. Boersma; T. Butler; J. Cofala; J. Drevet; Arlene M. Fiore; M. Gauss; D. A. Hauglustaine; Larry W. Horowitz; Ivar S. A. Isaksen; M. Krol; Jean-Francois Lamarque; M. G. Lawrence; Randall V. Martin; V. Montanaro; J.-F. Müller; G. Pitari; Michael J. Prather; J. A. Pyle; Andreas Richter


Atmospheric Chemistry and Physics | 2009

Constraint of anthropogenic NOx emissions in China from different sectors : a new methodology using multiple satellite retrievals

Jintai Lin; Michael Brendon McElroy; K. F. Boersma


Atmospheric Chemistry and Physics | 2005

Estimates of lightning NO x production from GOME satellite observations

K. F. Boersma; Henk Eskes; E. Meijer; H. Kelder


Geophysical Research Letters | 2008

Assessing the distribution and growth rates of NOx emission sources by inverting a 10-year record of NO2 satellite columns

Trissevgeni Stavrakou; J.-F. Müller; K. F. Boersma; I. De Smedt

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Henk Eskes

Royal Netherlands Meteorological Institute

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I. De Smedt

Belgian Institute for Space Aeronomy

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M. Van Roozendael

Belgian Institute for Space Aeronomy

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H. Kelder

Royal Netherlands Meteorological Institute

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Ruud J. Dirksen

Royal Netherlands Meteorological Institute

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J.-F. Müller

Belgian Institute for Space Aeronomy

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Nadège Blond

University of Strasbourg

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Trissevgeni Stavrakou

Belgian Institute for Space Aeronomy

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