Comparison of box-air-mass-factors and radiances for Multiple-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) geometries calculated from different UV/visible radiative transfer models

The results of a comparison exercise of radiative transfer models (RTM) of various international research groups for Multiple AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) viewing geometry are presented. Besides the assessment of the agreement between the different models, a second focus of the comparison was the systematic investigation of the sensitivity of the MAX-DOAS technique under various viewing geometries and aerosol conditions. In contrast to previous comparison exercises, box-air-mass-factors (box-AMFs) for different atmospheric height layers were modelled, which describe the sensitivity of the measurements as a function of altitude. In addition, radiances were calculated allowing the identification of potential errors, which might be overlooked if only AMFs are compared. Accurate modelling of radiances is also a prerequisite for the correct interpretation of satellite observations, for which the received radiance can strongly vary across the large ground pixels, and might be also important for the retrieval of aerosol properties as a future application of MAX-DOAS. The comparison exercises included different wavelengths and atmospheric scenarios (with and without aerosols). The strong and systematic influence of aerosol scattering indicates that from MAX-DOAS observations also information on atmospheric aerosols can be retrieved. During the various iterations of the exercises, the results from all models showed a substantial convergence, and the final data sets agreed for most cases within about 5%. Larger deviations were found for cases with low atmospheric optical depth, for which the photon path lengths along the line of sight of the instrument can become very large. The differences occurred between models including full spherical geometry and those using only plane parallel approximation indicating that the correct treatment of the Earth's sphericity becomes indispensable. The modelled box-AMFs constitute an universal data base for the calculation of arbitrary (total) AMFs by simple convolution with a given trace gas concentration profile. Together with the modelled radiances and the specified settings for the various exercises, they can serve as test cases for future RTM developments.

[1]  C. Rodgers,et al.  Retrieval of atmospheric temperature and composition from remote measurements of thermal radiation , 1976 .

[2]  J. Lambert,et al.  Retrieval of Tropospheric BrO and NO2 from UV-Visible Observations , 2004 .

[3]  James R. Drummond,et al.  Sounding the Troposphere From Space: A New Era for Atmospheric Chemistry , 2004 .

[4]  Ulrich Platt,et al.  UV‐visible observations of atmospheric O4 absorptions using direct moonlight and zenith‐scattered sunlight for clear‐sky and cloudy sky conditions , 2002 .

[5]  Bernhard Mayer,et al.  Atmospheric Chemistry and Physics Technical Note: the Libradtran Software Package for Radiative Transfer Calculations – Description and Examples of Use , 2022 .

[6]  Hironobu Iwabuchi,et al.  Efficient Monte Carlo Methods for Radiative Transfer Modeling , 2006 .

[7]  U. Platt,et al.  Detection of bromine monoxide in a volcanic plume , 2003, Nature.

[8]  William L. Smith,et al.  IRS 2000: CURRENT PROBLEMS IN ATMOSPHERIC RADIATION , 2000 .

[9]  Gail P. Anderson,et al.  MODTRAN4: multiple scattering and bidirectional reflectance distribution function (BRDF) upgrades to MODTRAN , 1999, Optics & Photonics.

[10]  Ulrich Platt,et al.  Observations of BrO and its vertical distribution during surface ozone depletion at Alert , 2002 .

[11]  M. Buchwitz,et al.  SCIAMACHY: Mission Objectives and Measurement Modes , 1999 .

[12]  Johannes Orphal,et al.  Measurements of molecular absorption spectra with the SCIAMACHY pre-flight model: instrument characterization and reference data for atmospheric remote-sensing in the 230–2380 nm region , 2003 .

[13]  Ulrich Platt,et al.  MAX‐DOAS O4 measurements: A new technique to derive information on atmospheric aerosols—Principles and information content , 2004 .

[14]  J. Burrows,et al.  Combined differential‐integral approach for the radiation field computation in a spherical shell atmosphere: Nonlimb geometry , 2000 .

[15]  R. S. Hyde,et al.  Stratospheric NO2: 1. Observational method and behavior at mid‐latitude , 1979 .

[16]  Erna Frins,et al.  Tomographic multiaxis-differential optical absorption spectroscopy observations of Sun-illuminated targets: a technique providing well-defined absorption paths in the boundary layer. , 2006, Applied optics.

[17]  Stanley C. Solomon,et al.  On the evaluation of air mass factors for atmospheric near‐ultraviolet and visible absorption spectroscopy , 1993 .

[18]  D. Collins,et al.  Backward monte carlo calculations of the polarization characteristics of the radiation emerging from spherical-shell atmospheres. , 1972, Applied optics.

[19]  O. V Postylyakov Radiative transfer model MCC++ with evaluation of weighting functions in spherical atmosphere for use in retrieval algorithms , 2004 .

[20]  A. Kokhanovsky,et al.  SCIATRAN 2.0 – A new radiative transfer model for geophysical applications in the 175–2400 nm spectral region , 2004 .

[21]  James B. Burkholder,et al.  Absorption measurements of oxygen between 330 and 1140 nm , 1990 .

[22]  Kimberly Strong,et al.  Zenith-sky observations of stratospheric gases: the sensitivity of air mass factors to geophysical parameters and the influence of tropospheric clouds , 2001 .

[23]  B. Hannegan,et al.  Stratospheric ozone in 3-D models : A simple chemistry and the cross-tropopause flux , 2000 .

[24]  Dietrich Althausen,et al.  Retrieval of Aerosol Profiles using Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) , 2003 .

[25]  Boris A. Kargin,et al.  The Monte Carlo Methods in Atmospheric Optics , 1980 .

[26]  Ping Wang,et al.  Retrieval of profile information from airborne multiaxis UV-visible skylight absorption measurements. , 2004, Applied optics.

[27]  Clive D Rodgers,et al.  Inverse Methods for Atmospheric Sounding: Theory and Practice , 2000 .

[28]  John P. Burrows,et al.  MAX-DOAS measurements of atmospheric trace gases in Ny- ˚ Alesund - Radiative transfer studies and their application , 2004 .

[29]  Daniele Bortoli,et al.  PROMSAR: A backward Monte Carlo spherical RTM for the analysis of DOAS remote sensing measurements , 2005 .

[30]  O. Postylyakov Spherical Radiative Transfer Model with Computation of Layer Air Mass Factors and Some of Its Applications , 2004 .

[31]  R. Courant,et al.  Methods of Mathematical Physics , 1962 .

[32]  C. V. Friedeburg Derivation of Trace Gas Information combining Differential Optical Absorption Spectroscopy with Radiative Transfer Modelling , 2003 .

[33]  Irene Pundt,et al.  Multi-axis-DOAS measurements of NO2 during the BAB II motorway emission campaign , 2005 .

[34]  Gail P. Anderson,et al.  MODTRAN4 radiative transfer modeling for atmospheric correction , 1999, Optics & Photonics.

[35]  J. Burrows,et al.  No 2 Profile Retrieval Using Amaxdoas Data Atmospheric Chemistry and Physics Discussions No 2 Profile Retrieval Using Airborne Multi Axis Uv-visible Skylight Absorption Measurements over Central Europe No 2 Profile Retrieval Using Amaxdoas Data , 2022 .

[36]  U. Platt,et al.  MAX‐DOAS measurements of BrO and NO2 in the marine boundary layer , 2003 .

[37]  C. Haley,et al.  Diurnal effects in limb scatter observations , 2006 .

[38]  O. V. Postylyakov,et al.  Linearized vector radiative transfer model MCC++ for a spherical atmosphere , 2004 .

[39]  Michael Eisinger,et al.  The Global Ozone Monitoring Experiment (GOME): Mission Concept and First Scientific Results , 1999 .

[40]  Stanley C. Solomon,et al.  On the interpretation of zenith sky absorption measurements , 1987 .

[41]  Dr. M. G. Worster Methods of Mathematical Physics , 1947, Nature.

[42]  Arve Kylling,et al.  Intercomparison exercise between different radiative transfer models used for the interpretation of ground-based zenith-sky and multi-axis DOAS observations , 2005 .

[43]  Charles Thomas McElroy,et al.  A vector radiative-transfer model for the Odin/OSIRIS project , 2002 .

[44]  Vladimir V. Rozanov,et al.  A numerical radiative transfer model for a spherical planetary atmosphere: combined differential-integral approach involving the Picard iterative approximation , 2001 .

[45]  F. Bednarz GOME : Global Ozone Monitoring Experiment : users manual , 1995 .

[46]  Liisa Oikarinen,et al.  Comparison of radiative transfer models for limb‐viewing scattered sunlight measurements , 2004 .

[47]  Steffen Beirle,et al.  El Niño induced anomalies in global data sets of total column precipitable water and cloud cover derived from GOME on ERS‐2 , 2005 .

[48]  M. V. Roozendael,et al.  Ozone and NO2 air‐mass factors for zenith‐sky spectrometers: Intercomparison of calculations with different radiative transfer models , 1995 .

[49]  Ulrich Platt,et al.  MAX‐DOAS O4 measurements: A new technique to derive information on atmospheric aerosols: 2. Modeling studies , 2006 .

[50]  John P. Burrows,et al.  MAX-DOAS measurements of formaldehyde in the Po-Valley , 2004 .

[51]  J. Burrows,et al.  Software package SCIATRAN 2.1 - New developments in the radiative transfer modeling and the retrieval technique. , 2006 .