skOpticalProperties  2.1
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skOpticalProperties_O3_SerdyuchenkoV1 Class Reference

#include <skabsorptiontable.h>

Inheritance diagram for skOpticalProperties_O3_SerdyuchenkoV1:
skOpticalProperties_UserDefinedAbsorption skOpticalProperty_AdditionalStateInfo_TemperatureDependent skOpticalProperties skOpticalProperty_AdditionalStateInfo

Additional Inherited Members

- Public Member Functions inherited from skOpticalProperties_UserDefinedAbsorption
virtual bool SetAtmosphericState (skClimatology *neutralatmosphere, const GEODETIC_INSTANT &pt, bool *crosssectionschanged) override
 Sets the atmospheric state and location for calculating cross-sections, usually temperature, pressure and position. More...
 
virtual bool CalculateCrossSections (double wavenumber, double *absxs, double *extxs, double *scattxs, size_t threadindex) override
 Calculate cross-sections at the specified wave-number. More...
 
virtual bool IsScatterer () const override
 Returns true if this particles scatters radiation.
 
virtual bool IsAbsorber () const override
 Returns true if this particles absorbs radiation radiation.
 
virtual bool UpdateInternalClimatology (const GEODETIC_INSTANT &pt) override
 
- Public Member Functions inherited from skWavelengthToPSF_SerdyuchenkoV1
 skWavelengthToPSF_SerdyuchenkoV1 ()
 
- Public Member Functions inherited from skOpticalProperty_AdditionalStateInfo_TemperatureDependent
virtual bool KeyedIndexFromAtmosphericState (skClimatology *neutralatmosphere, const GEODETIC_INSTANT &pt, skOpticalProperty_AdditionalStateInfoKey *index)
 
- Protected Member Functions inherited from skOpticalProperties_UserDefinedAbsorption
bool AddEntry (double t, double *nm, int nmstride, double *xs, int xsstride, int npts)
 
bool DeepCopyWithoutTables (const skOpticalProperties_UserDefinedAbsorption &other)
 

Detailed Description

Tabulated high resolution cross-sections of O3 measured by Serdyuchenko et al. 2011. These are a new generation of cross-sections with measurements from 193 K to 293 K in 10 K steps at high resolution.

Temperatures
The Serdychenko measurements try to avoid the limitations of interpolation by making twice as many meautrements. Measurements are provided at the following eleven temperatures,
  1. 193 K
  2. 203 K
  3. 213 K
  4. 223 K
  5. 233 K
  6. 243 K
  7. 253 K
  8. 263 K
  9. 273 K
  10. 283 K
  11. 293 K
References
  1. A. Serdyuchenko, V. Gorshelev, M. Weber, J.P. Burrows: New broadband high resolution ozone absorption cross-sections in Spectroscopy Europe, http://www.spectroscopyeurope.com/articles/55-articles/3082-new-broadband-high-resolution-ozone-absorption-cross-sections
  2. Peer reviewed paper submitted in summer 2012.
Abstract
In this article, we report on the research to improve our knowledge of the ozone absorption cross-sections. This is required for active and passive remote sensing applications yielding the total column and profiles of ozone. New laboratory measurements provide data for a wide spectral range in the ultraviolet (UV), visible (vis) and near infrared (NIR) regions at a spectral resolution of 0.02 nm. An absolute accuracy of about 3% or better and wavelength accuracy better than 0.005 nm throughout the spectral range have been achieved at 11 temperatures from 195 K to 293 K.

Comparison of the available ozone cross-sections with our new dataset shows good agreement within the uncertainty limits. This new cross-section dataset improves the ozone data quality which is required for stratospheric ozone trend studies and the determination of tropospheric ozone abundance.

Ozone is the most important trace gas in both the stratosphere and the troposphere. The global monitoring of the ozone concentration, using both satellite-borne and ground-based instruments, plays a key role in the determination of the long-term trends for the stratospheric ozone layer, which protects the biosphere from harmful UVB radiation and air quality related studies.

The requirement to measure small changes in stratospheric and tropospheric ozone places strong demands on the accuracy of the ozone absorption cross-sections used in retrievals of the spectra delivered by remote sensing spectrometers. Several satellite spectrometers have been used to measure low-resolution cross-sections pre-flight (SCIAMACHY, GOME and GOME-2 flight models).1,2,3 These datasets have the great advantage of automatically incorporating the instrumental slit functions. However, use of these datasets is not straightforward for other instruments. In the report for the Absorption Cross Sections of Ozone (ACSO) committee, Weber et al.4 consider the impact of cross-section choice on total ozone retrieval applied to GOME, SCIAMACHY and GOME-2 and discuss necessary resolution matching, wavelength shifts and scalings. [The ACSO committee was established by the World Meteorological Organization and the International Association of Meteorology and Atmospheric Sciences to review and recommend ozone cross-sections for all the commonly used (both ground-based and satellite) atmospheric ozone monitoring instruments.]

Among high-resolution datasets, the most important are the so-called data of Bass–Paur5,6 and data of Malicet, Daumont, Brion et al.7 (and references cited therein). Regardless of the high quality of these data, they have serious limitations, leaving room for improvement. Both datasets are based on experimental data acquired at only five temperatures, compelling researchers to use interpolation for other temperatures. In addition, these datasets only cover the limited UV and vis spectral regions.

More details on ozone cross-sections obtained before 2003 can be found in a comprehensive overview by Orphal.8 Relevant data are available, for example, from the online spectral atlas of gaseous molecules of the Max-Planck-Institute for Chemistry, Mainz9 or from the ACSO home page.10

The new accurate broadband cross-sections determined in this study have inherent advantages over the previous datasets to the maximum possible extent. The data were obtained for 11 temperatures down to 195 K. For convenient use in various current and future projects, the new dataset uniquely combines a broad spectral coverage from 220 nm to 1000 nm with spectral resolution as high as 0.02 nm. This dataset enables accurate convolution with the slit functions of all currently relevant ground-based and satellite-based remote sensing ­instruments.

Header details from distributed Data Files
- Source: IUP, MolSpec Lab, Serdyuchenko A., Gorshelev V, Weber M.
- Spectrometer:   Echelle Spectrometer ESA 4000 and Bruker HR 120 FTS 
- Double jacket quartz cell, thermo-insulated, pre-cooler, cryogenic cooling 

- Spectral Resolution(HWHM):
    - 0.01 nm below 290 nm},
    - 1 cm-1 between 290 nm and 350 nm},
    - 0.01 nm between 350 nm and 450 nm},
    - 1 cm-1 between 450 nm and 1100 nm,
    .
- Grid: interpolated on grid 0.01 nm
- Absolute calibration: using pure ozone pressure.
- Relative systematic uncertainty budget:
    - pressure:    2%
    - temperature: 1%
    - absorption length: < 0.1%
    .
- Total relative systematic uncertainty <3%

- Concatenated spectra parameters:
    - Spectral regions: Lightsource stability  Optical density limits:
    - 213-290 nm        0.5%                   0.5-2    
    - 290-310 nm        2%                     0.1-2
    - 310-340 nm        1%                     0.1-2
    - 340-450 nm        1%                     0.05-1
    - 450-750 nm        0.2%                   0.5-2
    - 750-1100nm        0.2%                   0.001-0.1

The documentation for this class was generated from the following files: