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  • The Global Ozone Monitoring Experiment-2 (GOME-2) was launched on October 2006 on board EUMETSAT's Metereological Operational Satellite (MetOp-A). This instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME/ERS-2 and SCIAMACHY/Envisat. It can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2/MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. The operational ozone total column products are generated using the algorithm GDP (GOME Data Processor) version 4.x integrated into the UPAS (Universal Processor for UV/VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. The new improved DOAS-style (Differential Optical Absorption Spectroscopy) algorithm called GDOAS, was selected as the basis for GDP version 4.0 in the framework of an ESA ITT. GDP 4.x performs a DOAS fit for ozone slant column and effective temperature followed by an iterative AMF/VCD computation using a single wavelength. The main improvements compared to GDP 3.0 are: • Molecular Ring Correction parameterised [M. van Roozendael et al. (2006)] • On-the-fly RTM simulations using LIDORT v3.3 [R. Spurr (2003)] • Cloud Correction using OCRA and ROCINN v2.0 [D. Loyola et al. (2007)] • Intra-Cloud, Sunglint and Snow/Ice Correction [D. Loyola et al. (2011)] For more details please refer to https://atmos.eoc.dlr.de/app/missions/gome2

  • The Global Ozone Monitoring Experiment-2 (GOME-2) was launched on October 2006 on board EUMETSAT's Metereological Operational Satellite (MetOp-A). This instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME/ERS-2 and SCIAMACHY/Envisat. It can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2/MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. The operational BrO total column products are generated using the algorithm GDP (GOME Data Processor) version 4.x integrated into the UPAS (Universal Processor for UV/VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. Activities on further improvements of the BrO column algorithm are ongoing [Van Roozendael and Theys (2005), Theys et al. (2009b)] This work focuses on optimizing the accuracy of global total BrO columns, as well as polar tropospheric BrO columns. DOAS slant column fitting On the basis of noise driven considerations, the fitting window 336-351.5 nm was selected for the GOME-2. A BrO cross-section is included in the fit, as well as the cross-sections of the interfering trace gases: ozone, NO2, O2-O2. Two Ring reference spectrums are included as an additive fitting parameter. The detailed DOAS settings used for GOME-2 BrO slant columns retrieval are given in the [DLR/GOME-2/ATBD]. AMF and VCD determination The AMF is calculated with the LIDORT 3.3 model for the fitting window mid-point, since BrO is an optically thin absorber in this wavelength region. To incorporate the seasonal and latitudinal variation in stratospheric BrO in the AMF calculations, a stratospheric BrO profile climatology is used [Bruns et al. (2003)]. This climatology contains monthly mean BrO profiles as a function of latitude, based on the chemistry transport model SLIMCAT. For more details please refer to https://atmos.eoc.dlr.de/app/missions/gome2

  • The Global Ozone Monitoring Experiment-2 (GOME-2) was launched on October 2006 on board EUMETSAT's Metereological Operational Satellite (MetOp-A). This instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME/ERS-2 and SCIAMACHY/Envisat. It can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2/MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. The operational SO2 total column products are generated using the algorithm GDP (GOME Data Processor) version 4.x integrated into the UPAS (Universal Processor for UV/VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. GDP 4.x performs a DOAS fit for SO2 slant column followed by an AMF/VCD computation using a single wavelength. Corrections are applied to the slant column for: • Equatorial offset • Interference of SO2 and O3 absorption • SZA dependence The SO2 column for volcanic eruptions is calculated for 3 different assumed plume heights: 2.5 km, 6 km, 15 km. A description of the SO2 retrieval and validation is given in [Rix et al. (2009), Loyola et al. (2008), Thomas et al. (2005)] . A description of the tropospheric SO2 algorithm and validation is given in the reference listed in the GOME-2 documentation pages. For more details please refer to https://atmos.eoc.dlr.de/app/missions/gome2

  • The Global Ozone Monitoring Experiment-2 (GOME-2) was launched on September 2012 on board EUMETSAT's Metereological Operational Satellite (MetOp-B). This instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME/ERS-2 and SCIAMACHY/Envisat. It can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2/MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. For more details please refer to https://atmos.eoc.dlr.de/app/missions/gome2

  • The Global Ozone Monitoring Experiment-2 (GOME-2) was launched on October 2006 on board EUMETSAT's Metereological Operational Satellite (MetOp-A). This instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME/ERS-2 and SCIAMACHY/Envisat. It can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2/MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. The operational HCHO total column products are generated using the algorithm GDP (GOME Data Processor) version 4.x integrated into the UPAS (Universal Processor for UV/VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. A description of the algorithm and validation is given in the reference documents listed in the GOME-2 documentation pages. DOAS slant column fitting The DOAS slant column fit of HCHO is performed in the UV wavelength range 328.5-346 nm [De Smedt et al. (2008)]. A HCHO cross-section is included in the fit, as well as the cross-sections of the interfering trace gases: ozone, NO2, BrO and OClO. Two Ring reference spectrums are included as an additive fitting parameter. The detailed DOAS settings used for GOME-2 HCHO slant columns retrieval are given in the [DLR/GOME-2/ATBD]. Reference sector correction To reduce the impact of fitting artifacts due to unresolved spectral interferences with ozone and BrO, an absolute normalisation is applied on a daily basis using the reference sector method. The mean HCHO slant column in the reference sector (central Pacific Ocean) is fitted by a polynomial which is subtracted to all the SCD of the day and replaced by the HCHO background taken from the tropospheric 3-D Chemistry Transport Model (CTM) IMAGES [Stavrakou et al. (2009)]. AMF and VCD determination The AMF is calculated with the LIDORT 3.3+ model for the 340 nm, since HCHO is an optically thin absorber in this wavelength region. The AMF depends strongly on the vertical profile shape of HCHO in the troposphere, the surface albedo and the presence of clouds. The monthly output of the IMAGESv2 CTM has been used to specify the vertical profile of HCHO distribution For more details please refer to http://atmos.eoc.dlr.de/gome/product_hcho.html

  • The Global Ozone Monitoring Experiment-2 (GOME-2) was launched on September 2012 on board EUMETSAT's Metereological Operational Satellite (MetOp-B). This instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME/ERS-2 and SCIAMACHY/Envisat. It can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2/MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. For more details please refer to https://atmos.eoc.dlr.de/app/missions/gome2

  • The Global Ozone Monitoring Experiment-2 (GOME-2) was launched on September 2012 on board EUMETSAT's Metereological Operational Satellite (MetOp-AB). This instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME/ERS-2 and SCIAMACHY/Envisat. It can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2/MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. For more details please refer to https://atmos.eoc.dlr.de/app/missions/gome2

  • The Global Ozone Monitoring Experiment-2 (GOME-2) was launched on October 2006 on board EUMETSAT's Metereological Operational Satellite (MetOp-A). This instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME/ERS-2 and SCIAMACHY/Envisat. It can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2/MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. OCRA (Optical Cloud Recognition Algorithm) and ROCINN (Retrieval of Cloud Information using Neural Networks) [Loyola et al. (2007) and Loyola et al. (2010)] are used for retrieving geophysical cloud properties from GOME-type sensors. OCRA uses the PMD devices on GOME to deliver the cloud fractions of the measured ground pixel. ROCINN takes the OCRA cloud fraction as input and uses a neural network scheme to invert GOME-type reflectivities in and around the O2 A band. For more details please refer to http://atmos.eoc.dlr.de/gome/ocra_rocinn.html

  • The Global Ozone Monitoring Experiment-2 (GOME-2) was launched on September 2012 on board EUMETSAT's Metereological Operational Satellite (MetOp-B). This instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME/ERS-2 and SCIAMACHY/Envisat. It can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2/MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. For more details please refer to https://atmos.eoc.dlr.de/app/missions/gome2

  • The Global Ozone Monitoring Experiment-2 (GOME-2) was launched on September 2012 on board EUMETSAT's Metereological Operational Satellite (MetOp-B). This instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME/ERS-2 and SCIAMACHY/Envisat. It can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2/MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. For more details please refer to https://atmos.eoc.dlr.de/app/missions/gome2

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