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Stratospheric and Mesospheric Applications of SCIAMACHY Limb Observations C. von Savigny, A. Rozanov, G. Rohen, K.-U. Eichmann, E. J. Llewellyn *, J. W. Kaiser +, M. Sinnhuber, M. Scharringhausen, P. Ulasi, H. Bovensmann, and J. P. Burrows Institute of Environmental Physics/Remote Sensing, University of Bremen, Bremen, Germany * Department of Physics and Physics Engineering, University of Saskatchewan, Saskatoon, Canada + Remote Sensing Laboratories, University of Zurich, Zurich, Switzerland 5th German SCIAMACHY Validation Team Meeting
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Stratospheric applications –Polar stratospheric clouds –Minor constituent profiles Mesospheric applications –Mesospheric ozone profiles –OH * (3-1) rotational temperature retrievals –Noctilucent clouds Outline
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SCIAMACHY Limb Geometry Tangent height range: 0 to 100 km Tangent height step size: 3.3 km Vertical FOV: 2.6 km Observation optimised for limb-nadir matching Duration of Limb sequence: 60 s Observed is limb scattered solar radiation and terrestrial airglow emissions On the Earth’s night side limb emissions are observed in a dedicated mesosphere / thermosphere observation mode with tangent height between 75 and 150 km. Illustration of the limb-scattering geometry
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Polar Stratospheric Clouds
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Step I: Determine colour index profiles Step II: Determine vertical gradient of CI(TH): with TH = 3.3 km Theoretical maximum (TH) values for 15-30 km altitude range: a) 1.05 for pure Rayleigh atmosphere b) 1.1 for stratospheric background aerosol c) 1.16 for moderate volcanic aerosol d) 1.55 for extreme volcanic aerosol Detection threshold chosen: (TH) = 1.3 detection is somewhat biased towards optically thicker PSCs PSC detection with limb measurements
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Maps of detected PSCs (open circles: detected PSCs) superimposed to UKMO temperature field at 550 K potential temperature (about 22 km) for August 7-12, 2003. PSC maps
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190 195 190 195 190 No SCIAMACHY Observations No SCIAMACHY Observations No SCIAMACHY Observations Temporal variation of PSC altitudes PSC descent rates for 2003: Santacesaria et al. [2001] : 2.5 km / monthat 66º S / 140º E based on a 9-year Lidar climatology Fromm et al. [1997] :2.0 km / month derived from POAM II 50º S - 60º S2.5 km / month 60º S - 70º S2.0 km / month 70º S - 80º S1.2 km / month
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Histograms of temperature at PSC altitude
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Stratospheric Minor Constituents
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The scia-arc website The scia-arc website provides value-added scientific data products Presently available limb data products: stratospheric profiles of O 3, NO 2 and BrO In preparation: - mesospheric O 3 profiles - maps of NLCs and PSCs - OH rotational temperatures at the mesopause http://www.iup.physik.uni-bremen.de/scia-arc
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One week before the major stratospheric warming: September 12, 2002 Savigny et al. [2004]
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The ozone hole split: September 27, 2002
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At mid-latitudes typical BrO mixing ratios are about 10 pptv, corresponding to about 50 % of the available inorganic bromine (20 pptv). The rest is almost exclusively BrONO 2.[e.g., Sinnhuber et al., 2002] Within the vortex BrO mixing ratios are most likely enhanced due to the reduced NO 2, therefore reduced formation of BrONO 2.
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OH rotational temperature retrievals
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OH* produced and vibrationally-rotationally excited at mesopause altitudes by: H + O 3 OH* (v’ 9) + O 2 + 3.3 eV Airglow emission centered around 87 km with about 8 km FWHM Relative population of rotational levels governed by Boltzmann’s distribution Measurements of relative intensities of rotational emission lines makes retrieval of OH rotational temperature possible OH*(v’ = 3) is in local thermodynamical equilibrium (LTE) for lower rotational quantum numbers because: - collisional frequency at 86 km is 3 10 4 s -1 - lifetime of OH at v’ = 3 is about 0.014 s rotational temperatures are equal to kinetic temperature of ambient air Retrieval of OH* (3-1) rotational temperatures
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E J J(J+1) J’=0 J’=2 J’=3 J’=4 J’=5 Selection rule: J = 0,+1,-1 ’=3 ’’=1 P-branch J = + 1 Q-branch J = 0 R-branch J = -1 J’=1 J’’=0 J’’=2 J’’=3 J’’=4 J’’=5 J’’=1 Q-branchP-branch
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Impact of different Einstein coefficients used: Kovacs [1969], Mies [1974], Goldman et al. [1998] T Kovacs – T Mies = 1.1 K and T Kovacs – T Goldman = 3.2 K Sample OH spectral fit Iterative retrieval approach: (1)linear fit with 2nd order polynomial (2) non-linear fit (Levenberg-Marquard) driving OH model, including -shift
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Calibration measurements Calibration measurements Limb measurements Limb measurements Calibration measurements Coverage of Limb eclipse measurements
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Replacement of nighttime Nadir observations by limb observations Implemented on September 6, 2004 SCIAMACHY Operations Change Request 19
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GRound-based Infrared P-branch Spectrometer (GRIPS) I at Hohenpeissenberg (47° N / 11° E) GRIPS-I data provided by Michael Bittner and Kathrin Höppner (DLR) First validation results Mesospheric Temperature Mapper (MTM) at Hawaii (21° N / 204° E) MTM data provided by Mike Taylor and Yucheng Zhao (Utah State University)
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OH-Temperatures 2003 Temperatures: for latitudes from –20 to 70 deg from July 2002 up to now.
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Mesospheric Ozone
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Weighting functions Averaging kernels
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Ozone depletion during the Oct. / Nov. 2003 SPEs HO x production by ionization: O 2 + + O 2 + M O 2 +O 2 + M O 2 +O 2 + H 2 O O 2 +H 2 O + O 2 O 2 +H 2 O + H 2 O H 3 O + OH + O 2 H 3 O + OH + H 2 O H 3 O + H 2 O + OH H 3 O + H 2 O + e - 2 H 2 O + H O 2 + + H 2 O + e - O 2 + H + OH (Courtesy M.-B. Kallenrode and M. Sinnhuber ) NO x is formed as well
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Ozone depletion during the Oct. / Nov. 2003 SPEs Ozone loss at 55 km and north of magnetic 60° N relative to October 20 – 24 reference period 40 MeV protons penetrate the atmosphere Down to about 45 km altitude
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Observations vs. Model SCIAMACHY measurements Model simulations (M. Sinnhuber) Percent ozone loss north of 60° N magnetic latitude Reference period: October 20 – 24, 2003
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Noctilucent Clouds
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UV limb radiance profiles with NLCs and without NLCs Detection of Noctilucent Clouds (NLCs)
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I. In single scattering approximation the PMC backscatter is given by: q(, ): Differential scattering cross section S( ): Solar irradiance spectrum II. The sun-normalized PMC backscatter spectrum: with spectral exponent NLC particle size determination I
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Ambiguity: spectral exponent does not monotonically increase with increasing radius Use several and significantly different wavelengths to determine r and [von Cossart et al, 1999]. Assumptions: Mie theory, i.e., homogeneous dielectric spheres Refractive index of ice [Warren, 1984] Log-normal distribution The spectral exponent is related to the PMC particle sizes by Mie-calculations Simulated spectral exponents for log- normal distribution with = 1.4 NLC particle size determination II
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NLC particle size determination – January 2003
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Conclusions SCIAMACHY limb observations with their broad spectral coverage and extended altitude range both on the day and nightside allows a wide range of stratospheric and mesospheric to be studied: Optically thin aerosols like NLCs and PSCs Minor constituent profiles (O 3, NO 2, BrO; soon H 2 O, CH 4 ) Mesopause temperature (soon Rayeigh temperatures)
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