Dr. Michael Buchwitz Profile

Dr. Michael Buchwitz

at Univ Bremen

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Publications (5)

Proceedings Article | 26 September 2014 Paper

The CarbonSat candidate mission: imaging greenhouse gas concentrations from space

Bernd Sierk, Jerôme Caron, Armin Löscher, Yasjka Meijer, Jean-Loup Bézy, Michael Buchwitz, H. Bovensmann

Proceedings Volume 9218, 92181F (2014) https://doi.org/10.1117/12.2061930

KEYWORDS: Carbon dioxide, Stray light, Reflectivity, Polarization, Near infrared, Spatial resolution, Absorption, Signal detection, Short wave infrared radiation, Sensors

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Proceedings Article | 16 February 2004 Paper

SCIAMACHY on ENVISAT: in-flight optical performance and first results

Heinrich Bovensmann, Michael Buchwitz, Johannes Frerick, Rudy Hoogeveen, Q. Kleipool, G. Lichtenberg, S. Noel, A. Richter, A. Rozanov, Vladimir Rozanov, Jochen Skupin, C. von Savigny, M. Wuttke, John Burrows

Proceedings Volume 5235, (2004) https://doi.org/10.1117/12.514228

KEYWORDS: Sensors, Calibration, Earth's atmosphere, Spectral calibration, Clouds, Mirrors, Ozone, Spectroscopy, Absorption, Laser sintering

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Proceedings Article | 16 February 2004 Paper

Retrieval of CH4, CO, and CO2 total column amounts from SCIAMACHY near-infrared nadir spectra: retrieval algorithm and first results

Michael Buchwitz, John Burrows

Proceedings Volume 5235, (2004) https://doi.org/10.1117/12.514219

KEYWORDS: Carbon monoxide, Clouds, Aerosols, Error analysis, Absorption, Calibration, Gases, Atmospheric modeling, Scattering, Radiative transfer

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SCIAMACHY is a UV/visible/near-infrared grating spectrometer on board the European environmental satellite ENVISAT that observes the atmosphere in nadir, limb, and solar and lunar occultation viewing geometries with moderate spectral resolution (0.2-1.5 nm). At the University of Bremen a modified DOAS algorithm (WFM-DOAS) is being developed primarily for the retrieval of CH₄, CO, CO₂, H₂O, N₂O, and O₂ total columns from SCIAMACHY near-infrared and visible nadir spectra. A first version of this algorithm has been implemented based on a fast look-up table approach. The algorithm and the look-up table is described along with an initial error analysis. Weighting functions and averaging kernels indicate that the SCIAMACHY near-infrared nadir measurements are highly sensitive to trace gas concentration changes even in the lowest kilometer of the atmosphere. The results presented have been obtained by applying WFM-DOAS to small spectral fitting windows focusing on CH₄, CO₂, CO, and O₂ column retrieval and CH4 and CO2 to O2 column ratios (denoted XCH₄ and XCO₂, respectively). These type of data products are planned to be used within the EU research project EVERGREEN to constrain surface sources and sinks of CH₄ and CO₂ using inverse modeling techniques. This study discussed the first set of WFM-DOAS products generated for and to be further improved within EVERGREEN. Although no detailed validation has been performed yet we found that the retrieved columns have the right order of magnitude and show (at least qualitatively) the expected correlation of the well mixed gases CO₂ and CH₄ with O₂ and surface topography. The standard deviation of the dry air column averaged mixing ration XCO₂ within 10° latitude bands is ±10 ppmv or 2.7% (XCH₄: ±50 ppbv or ±2.8%) for measurements over land (over ocean the scatter is a factor of 2-4 larger). These values have been determined from ~25% of the ground pixels of one orbit which fulfill the following requirements: (nearly) cloud free, solar zenith angle <75°, XCO₂ error < 4% (XCH4 error < 6%). It has not been assessed how much of this variability can be attricuted to real column changes. The observed variability is about three times larger than expected from (single spectra) signal-to-noise considerations but might be affected by limitations of the current implementation of the retrieval algorithm (e.g., sensitivity to surface reflectivity) and calibrations issues (e.g., not yet considered ADC non-linearity correction). Especially the CO retrieval needs further study and improvement. The CO fit errors are 20-40% over land but typically significantly larger over the ocean. A clear identification of the weak CO lines is difficult as the CO fit residuals are dominated by relatively stable systematic artifacts (also observed in the CO₂ and CH₄ fitting windows) on the order of the weak CO absorption lines. This might be explained by the still preliminary calibration of the SCIAMACHY spectra and/or errors of the spectroscopic data.

Proceedings Article | 14 December 1998 Paper

Development of a correlated-k distribution band model scheme for the radiative transfer program GOMETRAN/SCIATRAN for retrieval of atmospheric constituents from SCIMACHY/ENVISAT-1 data

Michael Buchwitz, Vladimir Rozanov, John Burrows

Proceedings Volume 3495, (1998) https://doi.org/10.1117/12.332681

KEYWORDS: Absorption, Atmospheric modeling, Transmittance, Radiative transfer, Convolution, Data modeling, Atmospheric particles, Spectral resolution, Multiple scattering, Clouds

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Proceedings Article | 18 August 1998 Paper

Retrieval of carbon monoxide, methane, and nitrous oxide from SCIAMACHY measurements

Hans Schrijver, Albert Goede, Marcel Dobber, Michael Buchwitz

Proceedings Volume 3501, (1998) https://doi.org/10.1117/12.317749

KEYWORDS: Sensors, Signal detection, Spectral resolution, Carbon monoxide, Methane, Nitrous oxide, Spectroscopy, Infrared detectors, Infrared sensors, Absorption

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