Atmospheric Measurement Techniques (Jun 2011)

Eight-component retrievals from ground-based MAX-DOAS observations

  • H. Irie,
  • H. Takashima,
  • Y. Kanaya,
  • K. F. Boersma,
  • L. Gast,
  • F. Wittrock,
  • D. Brunner,
  • Y. Zhou,
  • M. Van Roozendael

DOI
https://doi.org/10.5194/amt-4-1027-2011
Journal volume & issue
Vol. 4, no. 6
pp. 1027 – 1044

Abstract

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We attempt for the first time to retrieve lower-tropospheric vertical profile information for 8 quantities from ground-based Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) observations. The components retrieved are the aerosol extinction coefficients at two wavelengths, 357 and 476 nm, and NO<sub>2</sub>, HCHO, CHOCHO, H<sub>2</sub>O, SO<sub>2</sub>, and O<sub>3</sub> volume mixing ratios. A Japanese MAX-DOAS profile retrieval algorithm, version 1 (JM1), is applied to observations performed at Cabauw, the Netherlands (51.97° N, 4.93° E), in June–July 2009 during the Cabauw Intercomparison campaign of Nitrogen Dioxide measuring Instruments (CINDI). Of the retrieved profiles, we focus here on the lowest-layer data (mean values at altitudes 0–1 km), where the sensitivity is usually highest owing to the longest light path. In support of the capability of the multi-component retrievals, we find reasonable overall agreement with independent data sets, including a regional chemical transport model (CHIMERE) and in situ observations performed near the surface (2–3 m) and at the 200-m height level of the tall tower in Cabauw. Plumes of enhanced HCHO and SO<sub>2</sub> were likely affected by biogenic and ship emissions, respectively, and an improvement in their emission strengths is suggested for better agreement between CHIMERE simulations and MAX-DOAS observations. Analysis of air mass factors indicates that the horizontal spatial representativeness of MAX-DOAS observations is about 3–15 km (depending mainly on aerosol extinction), comparable to or better than the spatial resolution of current UV-visible satellite observations and model calculations. These demonstrate that MAX-DOAS provides multi-component data useful for the evaluation of satellite observations and model calculations and can play an important role in bridging different data sets having different spatial resolutions.