Atmospheric carbon gases retrieved from SCIAMACHY by WFM-DOAS: version 0.5 CO and CH 4 and impact of calibration improvements on CO 2 retrieval

By Michael Buchwitz, R. D. Beek, S. Noel, John P. Burrows, Heinrich Bovensmann, Oliver Schneising, I. Khlystova, M. Bruns, H. Bremer, P. Bergamaschi and 2 more. 2006

163 citations recorded by the source corpus.

The three carbon gases carbon monoxide (CO), carbon dioxide (CO 2 ), and methane (CH 4 ) are important atmospheric constituents affecting air quality and climate. The near-infrared nadir spectra measured by SCIAMACHY on ENVISAT contain information on the vertical columns of these gases which we retrieve using a modified DOAS algorithm (WFM-DOAS or WFMD). Our main data products are CO vertical columns and dry-air column averaged mixing ratios of methane (CH 4 ) and CO 2 (denoted XCH 4 and XCO 2 ). For CO and CH 4 we present new results for the year 2003 obtained with an improved version of WFM-DOAS (WFMDv0.5) retrieved from Level 1 version 4 (Lv1v4) spectra. This data set has recently been compared with a network of ground based FTIR stations. Here we describe the WFMDv0.5 algorithm, present global and regional maps, and comparisons with global reference data. We show that major problems of the previous versions (v0.4 and v0.41) related to the varying ice-layer on the SCIAMACHY channel 8 detector have been solved. Compared to MOPITT the SCIAMACHY CO columns are on average higher by about 10–20%. Regionally, however, especially over central South America, differences can be much larger. For methane we present global and regional maps which are compared to TM5 model simulations performed using standard methane emission inventories. We show that methane source regions can be clearly detected with SCIAMACHY. We also show that the methane data product can be significantly further improved using Lv1v5 spectra with improved calibration. For CO 2 we present three years of SCIAMACHY CO 2 measurements over Park Falls, Wisconsin, USA, retrieved from Lv1v5. We show that the quality of CO 2 retrieved from these spectra is significantly higher compared to WFMDv0.4 XCO 2 retrieved from Lv1v4.

Subfields: Atmospheric Science, Global and Planetary Change, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/484a6ad07b0ebc3d3cf9532c46cbfdad16ae2daa

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. David Crisp
2. Paul O. Wennberg
3. John P. Burrows
4. Michael Buchwitz
5. H. Bösch
6. Geoffrey C. Toon
7. Yuk L. Yung

In Global and Planetary Change

1. David Crisp
2. Paul O. Wennberg
3. John P. Burrows
4. Michael Buchwitz
5. H. Bösch
6. Geoffrey C. Toon
7. Yuk L. Yung

In Spectroscopy

1. John P. Burrows
2. Michael Buchwitz
3. Geoffrey C. Toon

Citations in the corpus

• Space‐based near‐infrared CO2 measurements: Testing the Orbiting Carbon Observatory retrieval algorithm and validation concept using SCIAMACHY observations over Park Falls, Wisconsin (2006, background): “Furthermore, Chahine et al. [2005] demonstrated that the 5 ppm seasonal variation inferred from the in situ aircraft instruments can be tracked from AIRS observations with an accuracy of 0.”