Remote sensing of the middle atmosphere with MIPAS

Clarmann, T. von; Chineke, Theo Chidiezie; Fischer, H.; Funke, B.; García‐Comas, M.; Gil-López, S.; Glatthor, N.; Grabowski, U.; Hoepfner, Michael; Kellmann, S.; Kiefer, Michael; Linden, A.; López‐Puertas, Manuel; López‐Valverde, M. A.; Tsidu, Gizaw Mengistu; Milz, M.; Steck, T.; Stiller, G. P.

doi:10.1117/12.463356

Cited by 35 publications

(25 citation statements)

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“…The NO 2 volume mixing ratio (VMR) profile is retrieved using three narrow-band channels (about 3 cm −1 ) centered about the NO 2 ν3 band (6.2 µm) with a vertical resolution of 3-5 km. The retrieval takes into account interfering contributions from H 2 O and CH 4 (IMK-IAA version 4.0;von Clarmann et al, 2003;Funke et al, 2005) and MIPAS temperature and pressure profiles retrieved from multiple narrow channels located on the high-frequency side of the main 15 µm CO 2 band.…”

Section: Mipasmentioning

confidence: 99%

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Intercomparison of daytime stratospheric NO2 satellite retrievals and model simulations

et al. 2014

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Abstract. This paper evaluates the agreement between stratospheric NO 2 retrievals from infrared limb sounders (Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) and High Resolution Dynamics Limb Sounder (HIRDLS)) and solar UV/VIS backscatter sensors (Ozone Monitoring Instrument (OMI), Scanning Imaging Absorption Spectrometer for Atmospheric Cartography (SCIA-MACHY) limb and nadir) over the [2005][2006][2007] period and across the seasons. The observational agreement is contrasted with the representation of NO 2 profiles in 3-D chemical transport models such as the Whole Atmosphere Community Climate Model (WACCM) and TM4. A conclusion central to this work is that the definition of a reference for stratospheric NO 2 columns formed by consistent agreement among SCIAMACHY, MIPAS and HIRDLS limb records (all of which agree to within 0.25 × 10 15 molecules cm −2 or better than 10 %) allows us to draw attention to relative errors in other data sets, e.g., (1) WACCM overestimates NO 2 densities in the extratropical lower stratosphere, particularly in the springtime and over northern latitudes by up to 35 % relative to limb observations, and (2) there are remarkable discrepancies between stratospheric NO 2 column estimates from limb and nadir techniques, with a characteristic seasonally and latitudinally dependent pattern. We find that SCIAMACHY nadir and OMI stratospheric columns show overall biases of −0.5 × 10 15 molecules cm −2 (−20 %) and +0.6 × 10 15 molecules cm −2 (+20 %) relative to limb observations, respectively. It is argued that additive biases in nadir stratospheric columns are not expected to affect tropospheric retrievals significantly, and that they can be attributed to errors in the total slant column density, related either to algorithmic or instrumental effects. In order to obtain accurate and long-term time series of stratospheric NO 2 , an effort towards the harmonization of currently used differential optical absorption spectroscopy (DOAS) approaches to nadir retrievals becomes essential, as well as their agreement to limb and ground-based observations, particularly now that limb techniques are giving way to nadir observations as the next generation of climate and air quality monitoring instruments pushes forth.

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Section: Mipasmentioning

confidence: 99%

“…It takes into account the absorption by NO 2 , ozone, water vapor and O 2 -O 2 , an undersampling cross section, the Ring effect (Vountas et al, 1998) and a second-order polynomial. The NO 2 cross section for 243 K is taken from Bogumil et al (1999).…”

Section: Sciamachy Nadirmentioning

confidence: 99%

Intercomparison of daytime stratospheric NO2 satellite retrievals and model simulations

et al. 2014

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“…In southern high latitudes the bimodal distribution related to the polar vortex is captured. (von Clarmann et al, 2003a). For evaluation we use here the products of a scientific processor by von Clarmann et al (2003b) and compare averages for the 4 seasons (DJF, MAM, JJA, SON) for the period December 2002 to November 2003 for both simulations (S1, S2).…”

Section: Temperatures Compared To Satellite Datamentioning

confidence: 99%

The atmospheric chemistry general circulation model ECHAM5/MESSy1: consistent simulation of ozone from the surface to the mesosphere

et al. 2006

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Abstract.The new Modular Earth Submodel System (MESSy) describes atmospheric chemistry and meteorological processes in a modular framework, following strict coding standards. It has been coupled to the ECHAM5 general circulation model, which has been slightly modified for this purpose. A 90-layer model setup up to 0.01 hPa was used at spectral T42 resolution to simulate the lower and middle atmosphere. With the high vertical resolution the model simulates the Quasi-Biennial Oscillation. The model meteorology has been tested to check the influence of the changes to ECHAM5 and the radiation interactions with the new representation of atmospheric composition. In the simulations presented here a Newtonian relaxation technique was applied in the tropospheric part of the domain to weakly nudge the model towards the analysed meteorology during the period 1998-2005. This allows an efficient and direct evaluation with satellite and in-situ data. It is shown that the tropospheric wave forcing of the stratosphere in the model suffices to reproduce major stratospheric warming events leading e.g. to the vortex split over Antarctica in 2002. Characteristic features such as dehydration and denitrification caused by the sedimentation of polar stratospheric cloud particles and ozone depletion during winter and spring are simulated well, although ozone loss in the lower polar stratosphere is slightly underestimated. The model realistically simulates stratosphere-troposphere exchange processes as indicated by comparisons with satellite and in situ measurements. The evaluation of tropospheric chemistry presented here focuses on the distributions of ozone, hydroxyl radicals, carbon monoxide and reactive nitrogen compounds. In spite of minor shortcomings, mostly related to the relatively Correspondence to: P. Jöckel (joeckel@mpch-mainz.mpg.de) coarse T42 resolution and the neglect of inter-annual changes in biomass burning emissions, the main characteristics of the trace gas distributions are generally reproduced well. The MESSy submodels and the ECHAM5/MESSy1 model output are available through the internet on request.

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“…The retrieval of N 2 O abundances was performed with the IMK-IAA data processor (von Clarmann et al, 2003a), which is based on a constrained non-linear least squares algorithm with Levenberg-Marquardt damping and line by line radiative transfer calculations with the Karlsruhe Optimized and Precise Radiative Transfer Algorithm (KOPRA) (Stiller et al, 2000). The first step in the L2 processing was the determination of the spectral shift, followed by the retrieval of temperature and elevation pointing (von Clarmann et al, 2003b), where pressure is implicitly determined by means of hydrostatic equilibrium.…”

Section: Mipas Measurementsmentioning

confidence: 99%

Enhancement of N2O during the October–November 2003 solar proton events

et al. 2008

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Abstract. In this paper we present evidence of enhanced N 2 O concentrations in the upper stratosphere/lower mesosphere polar regions after the solar proton events that occurred during October-November 2003. The observations were performed by the MIPAS instrument on the Envisat satellite. Simulations performed using the Canadian Middle Atmospheric Model (CMAM) show that such enhancements are most likely produced by the reaction of N( 4 S) with NO 2 , both of which species are largely enhanced just after the solar proton events in the winter polar night.

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Remote sensing of the middle atmosphere with MIPAS

Cited by 35 publications

References 0 publications

Intercomparison of daytime stratospheric NO<sub>2</sub> satellite retrievals and model simulations

Intercomparison of daytime stratospheric NO<sub>2</sub> satellite retrievals and model simulations

The atmospheric chemistry general circulation model ECHAM5/MESSy1: consistent simulation of ozone from the surface to the mesosphere

Enhancement of N<sub>2</sub>O during the October–November 2003 solar proton events

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Remote sensing of the middle atmosphere with MIPAS

Cited by 35 publications

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Intercomparison of daytime stratospheric NO&lt;sub&gt;2&lt;/sub&gt; satellite retrievals and model simulations

Intercomparison of daytime stratospheric NO&lt;sub&gt;2&lt;/sub&gt; satellite retrievals and model simulations

The atmospheric chemistry general circulation model ECHAM5/MESSy1: consistent simulation of ozone from the surface to the mesosphere

Enhancement of N&lt;sub&gt;2&lt;/sub&gt;O during the October–November 2003 solar proton events

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Intercomparison of daytime stratospheric NO<sub>2</sub> satellite retrievals and model simulations

Intercomparison of daytime stratospheric NO<sub>2</sub> satellite retrievals and model simulations

Enhancement of N<sub>2</sub>O during the October–November 2003 solar proton events