A new approach to correct for absorbing aerosols in OMI UV

Arola, Antti; Kazadzis, Stelios; Lindfors, Anders V.; Krotkov, Nickolay A.; Kujanpää, Jukka; Tamminen, J.; Bais, A. F.; Sarra, Alcide di; Villaplana, J. M.; Brogniez, Colette; Siani, Anna Maria; Janouch, Michal; Weihs, Philipp; Webb, Andrew M.; Koskela, Tapani; Kouremeti, Natalia; Meloni, Daniela; Buchard, Virginie; Auriol, Frédérique; Ialongo, Iolanda; Staneck, M.; Simic, S.; Smedley, Andrew R. D.; Kinne, Stefan

doi:10.1029/2009gl041137

Cited by 91 publications

(125 citation statements)

References 28 publications

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“…It consists of a calculation for the clear sky case, with corrections for clouds (or non-absorbing aerosols). Additional correction, which exploits monthly aerosol climatology, is also applied to account for absorbing aerosols [4]. The irradiance product is the result of a radiative transfer model calculation, using the following input parameters: the total ozone column and the scene reflectance at 360 nm (the latter to account for clouds and scattering aerosols).…”

Section: Trace Gas Column Measurementsmentioning

confidence: 99%

Tropospheric emissions: Monitoring of pollution (TEMPO)

Zoogman

Liu

Suleiman

et al. 2017

Journal of Quantitative Spectroscopy and Radiative Transfer

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Section: Trace Gas Column Measurementsmentioning

confidence: 99%

Tropospheric emissions: Monitoring of pollution (TEMPO)

Zoogman

Liu

Suleiman

et al. 2017

Journal of Quantitative Spectroscopy and Radiative Transfer

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283

144

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“…The current algorithm (Krotkov et al, 1998(Krotkov et al, , 2001(Krotkov et al, , 2002 does not account for absorbing aerosols (e.g. organic carbon, smoke, and dust) or trace gases (e.g., NO 2 , SO 2 ), which are known to lead to systematic overestimation of the surface UV irradiance (Chubarova, 2004;Arola et al, 2009) and neglects the cirrus effect on UV radiation. The OMIderived surface UV irradiances are expected to show overestimation for regions that are affected by absorbing aerosols.…”

Section: Aura/omimentioning

confidence: 99%

Validity of satellite measurements used for the monitoring of UV radiation risk on health

et al. 2011

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Abstract. In order to test the validity of ultraviolet index (UVI) satellite products and UVI model simulations for general public information, intercomparison involving three satellite instruments (SCIAMACHY, OMI and GOME-2), the Chemistry and Transport Model, Modélisation de la Chimie Atmosphérique Grande Echelle (MOCAGE), and ground-based instruments was performed in 2008 and 2009. The intercomparison highlighted a systematic high bias of ∼1 UVI in the OMI clear-sky products compared to the SCIAMACHY and TUV model clear-sky products. The OMI and GOME-2 all-sky products are close to the groundbased observations with a low 6 % positive bias, comparable to the results found during the satellite validation campaigns. This result shows that OMI and GOME-2 all-sky products are well appropriate to evaluate the UV-risk on health. The study has pointed out the difficulty to take into account either in the retrieval algorithms or in the models, the large spatial and temporal cloud modification effect on UV radiation. This factor is crucial to provide good quality UV information. OMI and GOME-2 show a realistic UV variability as a function of the cloud cover. Nevertheless these satellite products do not sufficiently take into account the radiation reCorrespondence to: F. Jégou (fabrice.jegou@orleans.cnrs.fr) flected by clouds. MOCAGE numerical forecasts show good results during periods with low cloud covers, but are actually not adequate for overcast conditions; this is why Météo-France currently uses human-expertised cloudiness (rather than direct outputs from Numerical Prediction Models) together with MOCAGE clear-sky UV indices for its operational forecasts. From now on, the UV monitoring could be done using free satellite products (OMI, GOME-2) and operational forecast for general public by using modelling, as long as cloud forecasts and the parametrisation of the impact of cloudiness on UV radiation are adequate.

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“…The methodology used in order to calculate the difference in the retrieved SSA from the two instruments was the following: The LUT's calculated with the LibRadTran RTM were used, with input parameters: the spectral measurements of each instrument, the solar zenith angle of every measurement and an AOD (for each location and for the specific month of the measurement campaign) based on the aerosol Climatology database of AeroComm (Kinne et al, 2009). The AOD that was used was constant during the whole campaign period at each site.…”

Section: Ssa Retrievalmentioning

confidence: 99%

“…Hatzianastassiou et al, 2007; or satellite retrieval algorithms (e.g. Arola et al, 2009). However, the GDIR method is impossible to be used for such purposes as only very few of such scanning instruments have the opportunity to measure both global and direct spectral irradiance.…”

Section: Introductionmentioning

confidence: 99%

The effect of the global UV irradiance measurement accuracy on the single scattering albedo retrieval

et al. 2010

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Abstract. The possibility of measuring aerosol optical absorption properties in the UV spectral range such as single scattering albedo (SSA), using remote sensing techniques, is currently an open scientific issue. We investigate the limitations on calculating column average SSA using a combination of global UV spectral measurements (that are comon in various UV monitoring stations worldwide) with radiative transfer modeling. To point out the difficulties in such a retrieval we have used the travelling reference spectroradiometer QASUME (Quality Assurance of Spectral Ultraviolet Measurements in Europe) results from 27 visits to UV monitoring stations around Europe. We have used the QA-SUME instrument as relative reference, analyzing absolute differences and also temporal and spectral deviations of UV irraidances, that are used as basic input for the SSA retrieval.The results comparing the mean SSA derived by all instruments, measuring synchronous UV spectra, showed that 5 were within ±0.02 difference from the SSA calculated from the QASUME instrument, while 17 were within ±0.04, for the Solar zenith angle of 60 degrees. As for the uncertainty that has been calculated using the 2σ standard deviation of the spectral measurements, a mean 0.072 and 0.10 (2σ ) uncertainties have been calculated for 60 • and 30 • , respectively. Based on the fact that additional uncertainties would be introduced in the SSA retrieval from AOD model input accuracy, assymetry parameter assumptions, we show that only very few instrumnents could be able to detect long term SSA changes. However, such measurements/results ar useful in order to retrieve SSA at UV wavelengths, a product needed for various applications such as, inputs for modeling radiative forcing studies and satellite retrieval algorithms.

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A new approach to correct for absorbing aerosols in OMI UV

Cited by 91 publications

References 28 publications

Tropospheric emissions: Monitoring of pollution (TEMPO)

Tropospheric emissions: Monitoring of pollution (TEMPO)

Validity of satellite measurements used for the monitoring of UV radiation risk on health

The effect of the global UV irradiance measurement accuracy on the single scattering albedo retrieval

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