Summary

Description

The reprocessed Version-3 Aura OMI Level-2G Cloud data product OMCLDRRG has been made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC).(http://disc.gsfc.nasa.gov/Aura/OMI/omcldrrg_v003.shtml Aura OMI provides two Level-2G Cloud products (OMCLDRRG and OMCLDO2G)that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2G global cloud product (OMCLDRRG) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. (The shortname for this Level-2G OMI Cloud Pressure and Fraction product is OMCLDRRG) The algorithm lead for the products OMCLDRR and OMCLDRRG is NASA OMI scientist Dr. Joanna Joinner(Joanna.Joiner.1 at nasa.gov ). OMCLDRRG data product is a special Level-2G Gridded Global Product where pixel level data (OMCLDRR)are binned into 0.25x0.25 degree global grids. It contains the OMCLDRR data for all L2 scenes that have observation time betweeen UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved Without Averaging. Scientist can apply data filtering scheme of their choice and create new gridded products. OMCLDRRG data products are stored in EOS Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (~14 orbits). The average file size for the OMCLDRRG data product is about 75 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://daac.gsfc.nasa.gov/Aura/tools.shtml. The GES DISC developed interactive tool Giovanni ( http://giovanni.gsfc.nasa.gov/ ) provides on-line web based capabilities to browse and explore Aura data. A README document containing brief algorithm description and known data quality related issues and file spec are provided by the OMCLDRR and OMCLDRRG Algorithm lead (see http://disc.sci.gsfc.nasa.gov/Aura/OMI/omcldrrg_v003.shtml ). Data Category Parameters: The OMCLDRRG data file consists of a Grid Data Object which contains complete information of each pixel binned into the grid. Cloud Parameters (and Precision): Two Effective Cloud Fraction and Cloud Pressure (based on two different clear and cloudy scene reflectivity criteria), Cloud Mask Ancillary Data: Terrain Pressure, Terrain Height, Reflectivity, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many other Algorithm Parameters Quality Flags: Ground Pixel QualityFlags, Measurement QualityFlags, Processing Quality Flags Time and Geolocation Data: Time, Latitude, Longitude, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Line Number, Scene Number, Number Of Candidate Scenes, Path Length, Orbit Number

Summary

Description

The reprocessed Version-3 Aura OMI Level-2G Cloud data product OMCLDRRG has been made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC).(http://disc.gsfc.nasa.gov/Aura/OMI/omcldrrg_v003.shtml Aura OMI provides two Level-2G Cloud products (OMCLDRRG and OMCLDO2G)that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2G global cloud product (OMCLDRRG) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. (The shortname for this Level-2G OMI Cloud Pressure and Fraction product is OMCLDRRG) The algorithm lead for the products OMCLDRR and OMCLDRRG is NASA OMI scientist Dr. Joanna Joinner(Joanna.Joiner.1 at nasa.gov ). OMCLDRRG data product is a special Level-2G Gridded Global Product where pixel level data (OMCLDRR)are binned into 0.25x0.25 degree global grids. It contains the OMCLDRR data for all L2 scenes that have observation time betweeen UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved Without Averaging. Scientist can apply data filtering scheme of their choice and create new gridded products. OMCLDRRG data products are stored in EOS Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (~14 orbits). The average file size for the OMCLDRRG data product is about 75 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://daac.gsfc.nasa.gov/Aura/tools.shtml. The GES DISC developed interactive tool Giovanni ( http://giovanni.gsfc.nasa.gov/ ) provides on-line web based capabilities to browse and explore Aura data. A README document containing brief algorithm description and known data quality related issues and file spec are provided by the OMCLDRR and OMCLDRRG Algorithm lead (see http://disc.sci.gsfc.nasa.gov/Aura/OMI/omcldrrg_v003.shtml ). Data Category Parameters: The OMCLDRRG data file consists of a Grid Data Object which contains complete information of each pixel binned into the grid. Cloud Parameters (and Precision): Two Effective Cloud Fraction and Cloud Pressure (based on two different clear and cloudy scene reflectivity criteria), Cloud Mask Ancillary Data: Terrain Pressure, Terrain Height, Reflectivity, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many other Algorithm Parameters Quality Flags: Ground Pixel QualityFlags, Measurement QualityFlags, Processing Quality Flags Time and Geolocation Data: Time, Latitude, Longitude, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Line Number, Scene Number, Number Of Candidate Scenes, Path Length, Orbit Number

Summary

Description

The Version-3 Formaldehyde Product OMHCHO from the Aura-OMI is now available (http://disc.gsfc.nasa.gov/Aura/OMI/omhcho_v003.shtml) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. (The shortname for this Level-2 OMI total column Formaldehyde product is OMHCHO) The algorithm leads for this product are the US OMI scientists Dr. Kelly Chance (kchance@cfa.harvard.edu) and Dr. Thomas Kurosu (tkurosu@cfa.harvard.edu) from the Harvard-Smithsonian Center, Cambridge, MA. The OMHCHO product contains total vertical column HCHO, standard erros (rms and sigma), quality flags, geolocation and other ancillary information. OMHCHO files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The average file size for the OMHCHO data product is about 5 Mbytes. A short OMHCHO Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from the Harvard-Smithsonian Center site: http://www.cfa.harvard.edu/~tkurosu/SatelliteInstruments/OMI/PGEReleases/

Summary

Description

The Version-3 Aura-OMI Formaldehyde Product OMHCHOG is now available (http://disc.gsfc.nasa.gov/Aura/OMI/omhchog_v003.shtml) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. (The shortname for this Level-2G OMI total column Formaldehyde product is OMHCHOG) The algorithm leads for this product are the US OMI scientists Dr. Kelly Chance (kchance@cfa.harvard.edu) and Dr. Thomas Kurosu (tkurosu@cfa.harvard.edu) from the Harvard-Smithsonian Center, Cambridge, MA. OMHCHOG data product is a special Level-2 Global Gridded Product where pixel level data are binned into 0.25x0.25 degree grids. It contains data for all L2 scenes that have observation time betweeen UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved without Averaging (third dimension provides indexing for the data points in each small grid). Scientist can apply data filtering scheme of their choice and create Level-3 global gridded products. The GES DISC developed interactive tool Giovanni( http://giovanni.gsfc.nasa.gov/ ) provides on-line web based capabilities to browse and explore the Level-2G data. The OMHCHOG data product contains almost all parameters (e.g. total vertical column HCHO, standard erros, quality flags, geolocation and ancillary information) that are contained in the OMHCHO product. OMHCHOG data are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portions of 14 to 15 orbits that cover the globe in a day. The average file size for the OMGCHOG data product is about 55 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short Readme Document giving brief algorithm description and documents containing known data quality related issues for the OMHCHO product (the source of OMHCHOG data)are available from the GES DISC site( http://disc.gsfc.nasa.gov/Aura/OMI/omhchog_v003.shtml )

Summary

Description

The Version-3 Aura-OMI Formaldehyde Product OMHCHOG is now available (http://disc.gsfc.nasa.gov/Aura/OMI/omhchog_v003.shtml) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. (The shortname for this Level-2G OMI total column Formaldehyde product is OMHCHOG) The algorithm leads for this product are the US OMI scientists Dr. Kelly Chance (kchance@cfa.harvard.edu) and Dr. Thomas Kurosu (tkurosu@cfa.harvard.edu) from the Harvard-Smithsonian Center, Cambridge, MA. OMHCHOG data product is a special Level-2 Global Gridded Product where pixel level data are binned into 0.25x0.25 degree grids. It contains data for all L2 scenes that have observation time betweeen UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved without Averaging (third dimension provides indexing for the data points in each small grid). Scientist can apply data filtering scheme of their choice and create Level-3 global gridded products. The GES DISC developed interactive tool Giovanni( http://giovanni.gsfc.nasa.gov/ ) provides on-line web based capabilities to browse and explore the Level-2G data. The OMHCHOG data product contains almost all parameters (e.g. total vertical column HCHO, standard erros, quality flags, geolocation and ancillary information) that are contained in the OMHCHO product. OMHCHOG data are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portions of 14 to 15 orbits that cover the globe in a day. The average file size for the OMGCHOG data product is about 55 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short Readme Document giving brief algorithm description and documents containing known data quality related issues for the OMHCHO product (the source of OMHCHOG data)are available from the GES DISC site( http://disc.gsfc.nasa.gov/Aura/OMI/omhchog_v003.shtml )

Summary

Description

The Version-3 Formaldehyde Product OMHCHO from the Aura-OMI is now available (http://disc.gsfc.nasa.gov/Aura/OMI/omhcho_v003.shtml) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. (The shortname for this Level-2 OMI total column Formaldehyde product is OMHCHO) The algorithm leads for this product are the US OMI scientists Dr. Kelly Chance (kchance@cfa.harvard.edu) and Dr. Thomas Kurosu (tkurosu@cfa.harvard.edu) from the Harvard-Smithsonian Center, Cambridge, MA. The OMHCHO product contains total vertical column HCHO, standard erros (rms and sigma), quality flags, geolocation and other ancillary information. OMHCHO files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The average file size for the OMHCHO data product is about 5 Mbytes. A short OMHCHO Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from the Harvard-Smithsonian Center site: http://www.cfa.harvard.edu/~tkurosu/SatelliteInstruments/OMI/PGEReleases/

Summary

Description

The reprocessed OMI/Aura Level-2 Zoomed Ozone data product OMDOAO3Z at 13x12 km resolution is now available (http://disc.gsfc.nasa.gov/Aura/OMI/omdoao3z_v003.shtml ) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. It is the second release of Version 003 and was reprocessed late 2011. OMI provides two sets of total column ozone products OMTO3 and OMDOAO3 which are based on two different algorithms. OMTO3 product is based on TOMS like ozone retrieval algorithm whereas OMDOAO3 total column ozone product is based on the Differential Absorption Spectroscopy (DOAS) fitting technique that essentially uses the OMI visible radiance values between 331.1 and 336.1 nm. The DOAS retrieval algorithm is developed by the KNMI OMI Scientist, Dr Pepijn Veefkind. Based on spatial reolutions, there are two DOAS algorithm based ozone products, OMDOAO3 (at 13x24 km resolution) and OMDOAO3Z (13x12 km resolution) . In addition to the total ozone column values these DOAS based ozone products also contain some auxiliary derived and ancillary input parameters e.g. ozone slant column density, ozone ghost column density, air mass factor, scene reflectivity, radiance over the DOAS fit window, root mean square of DAOS fit, cloud fraction, cloud radiance, cloud pressure, terrain height, geolocation, viewing angles and quality flags. (The shortname for this Level-2 OMI Zoomed Ozone product is OMDOAO3Z) OMDOAO3Z files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). OMDOAO3Z data files are based on Zoomed Level 1B radiance observations which are made once a month. Thus there is one day of zoomed data (approximately 14 orbits) per month. The maximum file size for the OMDOAO3Z data is about 30 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A Readme document containing brief algorithm description and known data quality related issues and file spec are provided by the OMDOAO3 Algorithm lead (see documents available from OMI product site http://disc.sci.gsfc.nasa.gov/Aura/data-holdings/OMI/omdoao3z_v003.shtml The Ozone Monitoring Instrument (OMI) launched on NASA Aura satellite in July 2004, has been providing daily global measurements of clouds, atmospheric pollutants (Ozone, Nitrogen dioxide, Sulfur-dioxide, HCHO and Aerosols from biomass burning and industrial emissions) , BrO and OClO for tracking ozone depletion and surface UV irradiance. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meteorological Institute (FMI), to the US EOS-Aura Mission. The principal investigator's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites:

Summary

Description

The reprocessed OMI/Aura Level-2 Zoomed Ozone data product OMDOAO3Z at 13x12 km resolution is now available (http://disc.gsfc.nasa.gov/Aura/OMI/omdoao3z_v003.shtml ) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. It is the second release of Version 003 and was reprocessed late 2011. OMI provides two sets of total column ozone products OMTO3 and OMDOAO3 which are based on two different algorithms. OMTO3 product is based on TOMS like ozone retrieval algorithm whereas OMDOAO3 total column ozone product is based on the Differential Absorption Spectroscopy (DOAS) fitting technique that essentially uses the OMI visible radiance values between 331.1 and 336.1 nm. The DOAS retrieval algorithm is developed by the KNMI OMI Scientist, Dr Pepijn Veefkind. Based on spatial reolutions, there are two DOAS algorithm based ozone products, OMDOAO3 (at 13x24 km resolution) and OMDOAO3Z (13x12 km resolution) . In addition to the total ozone column values these DOAS based ozone products also contain some auxiliary derived and ancillary input parameters e.g. ozone slant column density, ozone ghost column density, air mass factor, scene reflectivity, radiance over the DOAS fit window, root mean square of DAOS fit, cloud fraction, cloud radiance, cloud pressure, terrain height, geolocation, viewing angles and quality flags. (The shortname for this Level-2 OMI Zoomed Ozone product is OMDOAO3Z) OMDOAO3Z files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). OMDOAO3Z data files are based on Zoomed Level 1B radiance observations which are made once a month. Thus there is one day of zoomed data (approximately 14 orbits) per month. The maximum file size for the OMDOAO3Z data is about 30 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A Readme document containing brief algorithm description and known data quality related issues and file spec are provided by the OMDOAO3 Algorithm lead (see documents available from OMI product site http://disc.sci.gsfc.nasa.gov/Aura/data-holdings/OMI/omdoao3z_v003.shtml The Ozone Monitoring Instrument (OMI) launched on NASA Aura satellite in July 2004, has been providing daily global measurements of clouds, atmospheric pollutants (Ozone, Nitrogen dioxide, Sulfur-dioxide, HCHO and Aerosols from biomass burning and industrial emissions) , BrO and OClO for tracking ozone depletion and surface UV irradiance. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meteorological Institute (FMI), to the US EOS-Aura Mission. The principal investigator's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites:

Summary

Description

The Version-3 Formaldehyde Product OMHCHO from the Aura-OMI is now available (http://disc.gsfc.nasa.gov/Aura/OMI/omhcho_v003.shtml) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. (The shortname for this Level-2 OMI total column Formaldehyde product is OMHCHO) The algorithm leads for this product are the US OMI scientists Dr. Kelly Chance (kchance@cfa.harvard.edu) and Dr. Thomas Kurosu (tkurosu@cfa.harvard.edu) from the Harvard-Smithsonian Center, Cambridge, MA. The OMHCHO product contains total vertical column HCHO, standard erros (rms and sigma), quality flags, geolocation and other ancillary information. OMHCHO files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The average file size for the OMHCHO data product is about 5 Mbytes. A short OMHCHO Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from the Harvard-Smithsonian Center site: http://www.cfa.harvard.edu/~tkurosu/SatelliteInstruments/OMI/PGEReleases/

Summary

Description

The Version-3 Formaldehyde Product OMHCHO from the Aura-OMI is now available (http://disc.gsfc.nasa.gov/Aura/OMI/omhcho_v003.shtml) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. (The shortname for this Level-2 OMI total column Formaldehyde product is OMHCHO) The algorithm leads for this product are the US OMI scientists Dr. Kelly Chance (kchance@cfa.harvard.edu) and Dr. Thomas Kurosu (tkurosu@cfa.harvard.edu) from the Harvard-Smithsonian Center, Cambridge, MA. The OMHCHO product contains total vertical column HCHO, standard erros (rms and sigma), quality flags, geolocation and other ancillary information. OMHCHO files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The average file size for the OMHCHO data product is about 5 Mbytes. A short OMHCHO Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from the Harvard-Smithsonian Center site: http://www.cfa.harvard.edu/~tkurosu/SatelliteInstruments/OMI/PGEReleases/

Summary

Description

The Version-3 Formaldehyde Product OMHCHO from the Aura-OMI is now available (http://disc.gsfc.nasa.gov/Aura/OMI/omhcho_v003.shtml) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. (The shortname for this Level-2 OMI total column Formaldehyde product is OMHCHO) The algorithm leads for this product are the US OMI scientists Dr. Kelly Chance (kchance@cfa.harvard.edu) and Dr. Thomas Kurosu (tkurosu@cfa.harvard.edu) from the Harvard-Smithsonian Center, Cambridge, MA. The OMHCHO product contains total vertical column HCHO, standard erros (rms and sigma), quality flags, geolocation and other ancillary information. OMHCHO files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The average file size for the OMHCHO data product is about 5 Mbytes. A short OMHCHO Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from the Harvard-Smithsonian Center site: http://www.cfa.harvard.edu/~tkurosu/SatelliteInstruments/OMI/PGEReleases/

Summary

Description

The Version-3 Formaldehyde Product OMHCHO from the Aura-OMI is now available (http://disc.gsfc.nasa.gov/Aura/OMI/omhcho_v003.shtml) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. (The shortname for this Level-2 OMI total column Formaldehyde product is OMHCHO) The algorithm leads for this product are the US OMI scientists Dr. Kelly Chance (kchance@cfa.harvard.edu) and Dr. Thomas Kurosu (tkurosu@cfa.harvard.edu) from the Harvard-Smithsonian Center, Cambridge, MA. The OMHCHO product contains total vertical column HCHO, standard erros (rms and sigma), quality flags, geolocation and other ancillary information. OMHCHO files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The average file size for the OMHCHO data product is about 5 Mbytes. A short OMHCHO Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from the Harvard-Smithsonian Center site: http://www.cfa.harvard.edu/~tkurosu/SatelliteInstruments/OMI/PGEReleases/

Summary

Description

The Version-3 Formaldehyde Product OMHCHO from the Aura-OMI is now available (http://disc.gsfc.nasa.gov/Aura/OMI/omhcho_v003.shtml) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. (The shortname for this Level-2 OMI total column Formaldehyde product is OMHCHO) The algorithm leads for this product are the US OMI scientists Dr. Kelly Chance (kchance@cfa.harvard.edu) and Dr. Thomas Kurosu (tkurosu@cfa.harvard.edu) from the Harvard-Smithsonian Center, Cambridge, MA. The OMHCHO product contains total vertical column HCHO, standard erros (rms and sigma), quality flags, geolocation and other ancillary information. OMHCHO files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The average file size for the OMHCHO data product is about 5 Mbytes. A short OMHCHO Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from the Harvard-Smithsonian Center site: http://www.cfa.harvard.edu/~tkurosu/SatelliteInstruments/OMI/PGEReleases/

Summary

Description

The reprocessed Version-3 Aura OMI Level-2G Cloud data product OMCLDRRG has been made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC).(http://disc.gsfc.nasa.gov/Aura/OMI/omcldrrg_v003.shtml Aura OMI provides two Level-2G Cloud products (OMCLDRRG and OMCLDO2G)that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2G global cloud product (OMCLDRRG) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. (The shortname for this Level-2G OMI Cloud Pressure and Fraction product is OMCLDRRG) The algorithm lead for the products OMCLDRR and OMCLDRRG is NASA OMI scientist Dr. Joanna Joinner(Joanna.Joiner.1 at nasa.gov ). OMCLDRRG data product is a special Level-2G Gridded Global Product where pixel level data (OMCLDRR)are binned into 0.25x0.25 degree global grids. It contains the OMCLDRR data for all L2 scenes that have observation time betweeen UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved Without Averaging. Scientist can apply data filtering scheme of their choice and create new gridded products. OMCLDRRG data products are stored in EOS Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (~14 orbits). The average file size for the OMCLDRRG data product is about 75 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://daac.gsfc.nasa.gov/Aura/tools.shtml. The GES DISC developed interactive tool Giovanni ( http://giovanni.gsfc.nasa.gov/ ) provides on-line web based capabilities to browse and explore Aura data. A README document containing brief algorithm description and known data quality related issues and file spec are provided by the OMCLDRR and OMCLDRRG Algorithm lead (see http://disc.sci.gsfc.nasa.gov/Aura/OMI/omcldrrg_v003.shtml ). Data Category Parameters: The OMCLDRRG data file consists of a Grid Data Object which contains complete information of each pixel binned into the grid. Cloud Parameters (and Precision): Two Effective Cloud Fraction and Cloud Pressure (based on two different clear and cloudy scene reflectivity criteria), Cloud Mask Ancillary Data: Terrain Pressure, Terrain Height, Reflectivity, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many other Algorithm Parameters Quality Flags: Ground Pixel QualityFlags, Measurement QualityFlags, Processing Quality Flags Time and Geolocation Data: Time, Latitude, Longitude, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Line Number, Scene Number, Number Of Candidate Scenes, Path Length, Orbit Number

Summary

Description

The reprocessed OMI/Aura Level-2 Zoomed Ozone data product OMDOAO3Z at 13x12 km resolution is now available (http://disc.gsfc.nasa.gov/Aura/OMI/omdoao3z_v003.shtml ) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. It is the second release of Version 003 and was reprocessed late 2011. OMI provides two sets of total column ozone products OMTO3 and OMDOAO3 which are based on two different algorithms. OMTO3 product is based on TOMS like ozone retrieval algorithm whereas OMDOAO3 total column ozone product is based on the Differential Absorption Spectroscopy (DOAS) fitting technique that essentially uses the OMI visible radiance values between 331.1 and 336.1 nm. The DOAS retrieval algorithm is developed by the KNMI OMI Scientist, Dr Pepijn Veefkind. Based on spatial reolutions, there are two DOAS algorithm based ozone products, OMDOAO3 (at 13x24 km resolution) and OMDOAO3Z (13x12 km resolution) . In addition to the total ozone column values these DOAS based ozone products also contain some auxiliary derived and ancillary input parameters e.g. ozone slant column density, ozone ghost column density, air mass factor, scene reflectivity, radiance over the DOAS fit window, root mean square of DAOS fit, cloud fraction, cloud radiance, cloud pressure, terrain height, geolocation, viewing angles and quality flags. (The shortname for this Level-2 OMI Zoomed Ozone product is OMDOAO3Z) OMDOAO3Z files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). OMDOAO3Z data files are based on Zoomed Level 1B radiance observations which are made once a month. Thus there is one day of zoomed data (approximately 14 orbits) per month. The maximum file size for the OMDOAO3Z data is about 30 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A Readme document containing brief algorithm description and known data quality related issues and file spec are provided by the OMDOAO3 Algorithm lead (see documents available from OMI product site http://disc.sci.gsfc.nasa.gov/Aura/data-holdings/OMI/omdoao3z_v003.shtml The Ozone Monitoring Instrument (OMI) launched on NASA Aura satellite in July 2004, has been providing daily global measurements of clouds, atmospheric pollutants (Ozone, Nitrogen dioxide, Sulfur-dioxide, HCHO and Aerosols from biomass burning and industrial emissions) , BrO and OClO for tracking ozone depletion and surface UV irradiance. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meteorological Institute (FMI), to the US EOS-Aura Mission. The principal investigator's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites:

Summary

Description

The reprocessed Version-3 Aura OMI Level-2G Cloud data product OMCLDRRG has been made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC).(http://disc.gsfc.nasa.gov/Aura/OMI/omcldrrg_v003.shtml Aura OMI provides two Level-2G Cloud products (OMCLDRRG and OMCLDO2G)that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2G global cloud product (OMCLDRRG) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. (The shortname for this Level-2G OMI Cloud Pressure and Fraction product is OMCLDRRG) The algorithm lead for the products OMCLDRR and OMCLDRRG is NASA OMI scientist Dr. Joanna Joinner(Joanna.Joiner.1 at nasa.gov ). OMCLDRRG data product is a special Level-2G Gridded Global Product where pixel level data (OMCLDRR)are binned into 0.25x0.25 degree global grids. It contains the OMCLDRR data for all L2 scenes that have observation time betweeen UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved Without Averaging. Scientist can apply data filtering scheme of their choice and create new gridded products. OMCLDRRG data products are stored in EOS Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (~14 orbits). The average file size for the OMCLDRRG data product is about 75 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://daac.gsfc.nasa.gov/Aura/tools.shtml. The GES DISC developed interactive tool Giovanni ( http://giovanni.gsfc.nasa.gov/ ) provides on-line web based capabilities to browse and explore Aura data. A README document containing brief algorithm description and known data quality related issues and file spec are provided by the OMCLDRR and OMCLDRRG Algorithm lead (see http://disc.sci.gsfc.nasa.gov/Aura/OMI/omcldrrg_v003.shtml ). Data Category Parameters: The OMCLDRRG data file consists of a Grid Data Object which contains complete information of each pixel binned into the grid. Cloud Parameters (and Precision): Two Effective Cloud Fraction and Cloud Pressure (based on two different clear and cloudy scene reflectivity criteria), Cloud Mask Ancillary Data: Terrain Pressure, Terrain Height, Reflectivity, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many other Algorithm Parameters Quality Flags: Ground Pixel QualityFlags, Measurement QualityFlags, Processing Quality Flags Time and Geolocation Data: Time, Latitude, Longitude, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Line Number, Scene Number, Number Of Candidate Scenes, Path Length, Orbit Number

Summary

Description

The reprocessed Aura OMI Version 003 Level 2 Cloud Data Product OMCLDRR is made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.gsfc.nasa.gov/Aura/OMI/omcldrr_v003.shtml ) Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product (OMCLDRR) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. (The shortname for this Level-2 OMI cloud pressure and fraction product is OMCLDRR) OMCLDRR files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes. A short OMCLDRR Readme Document that includes brief algorithm description and data quality is also provided by the OMCLDRR Algorithm lead. Data Category Parameters: The OMCLDRR data file contains one swath which consists of two groups: Data fields: Two Effective Cloud Fraction and two Cloud Top Pressures that are based on two different clear and cloudy scene reflectivity criteria, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags.

Summary

Description

The Version-3 Formaldehyde Product OMHCHO from the Aura-OMI is now available (http://disc.gsfc.nasa.gov/Aura/OMI/omhcho_v003.shtml) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. (The shortname for this Level-2 OMI total column Formaldehyde product is OMHCHO) The algorithm leads for this product are the US OMI scientists Dr. Kelly Chance (kchance@cfa.harvard.edu) and Dr. Thomas Kurosu (tkurosu@cfa.harvard.edu) from the Harvard-Smithsonian Center, Cambridge, MA. The OMHCHO product contains total vertical column HCHO, standard erros (rms and sigma), quality flags, geolocation and other ancillary information. OMHCHO files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The average file size for the OMHCHO data product is about 5 Mbytes. A short OMHCHO Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from the Harvard-Smithsonian Center site: http://www.cfa.harvard.edu/~tkurosu/SatelliteInstruments/OMI/PGEReleases/

Summary

Description

The reprocessed Version-3 Aura OMI Level-2G Cloud data product OMCLDRRG has been made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC).(http://disc.gsfc.nasa.gov/Aura/OMI/omcldrrg_v003.shtml Aura OMI provides two Level-2G Cloud products (OMCLDRRG and OMCLDO2G)that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2G global cloud product (OMCLDRRG) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. (The shortname for this Level-2G OMI Cloud Pressure and Fraction product is OMCLDRRG) The algorithm lead for the products OMCLDRR and OMCLDRRG is NASA OMI scientist Dr. Joanna Joinner(Joanna.Joiner.1 at nasa.gov ). OMCLDRRG data product is a special Level-2G Gridded Global Product where pixel level data (OMCLDRR)are binned into 0.25x0.25 degree global grids. It contains the OMCLDRR data for all L2 scenes that have observation time betweeen UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved Without Averaging. Scientist can apply data filtering scheme of their choice and create new gridded products. OMCLDRRG data products are stored in EOS Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (~14 orbits). The average file size for the OMCLDRRG data product is about 75 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://daac.gsfc.nasa.gov/Aura/tools.shtml. The GES DISC developed interactive tool Giovanni ( http://giovanni.gsfc.nasa.gov/ ) provides on-line web based capabilities to browse and explore Aura data. A README document containing brief algorithm description and known data quality related issues and file spec are provided by the OMCLDRR and OMCLDRRG Algorithm lead (see http://disc.sci.gsfc.nasa.gov/Aura/OMI/omcldrrg_v003.shtml ). Data Category Parameters: The OMCLDRRG data file consists of a Grid Data Object which contains complete information of each pixel binned into the grid. Cloud Parameters (and Precision): Two Effective Cloud Fraction and Cloud Pressure (based on two different clear and cloudy scene reflectivity criteria), Cloud Mask Ancillary Data: Terrain Pressure, Terrain Height, Reflectivity, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many other Algorithm Parameters Quality Flags: Ground Pixel QualityFlags, Measurement QualityFlags, Processing Quality Flags Time and Geolocation Data: Time, Latitude, Longitude, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Line Number, Scene Number, Number Of Candidate Scenes, Path Length, Orbit Number

Summary

Description

The reprocessed Version-3 Aura OMI Level-2G Cloud data product OMCLDRRG has been made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC).(http://disc.gsfc.nasa.gov/Aura/OMI/omcldrrg_v003.shtml Aura OMI provides two Level-2G Cloud products (OMCLDRRG and OMCLDO2G)that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2G global cloud product (OMCLDRRG) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. (The shortname for this Level-2G OMI Cloud Pressure and Fraction product is OMCLDRRG) The algorithm lead for the products OMCLDRR and OMCLDRRG is NASA OMI scientist Dr. Joanna Joinner(Joanna.Joiner.1 at nasa.gov ). OMCLDRRG data product is a special Level-2G Gridded Global Product where pixel level data (OMCLDRR)are binned into 0.25x0.25 degree global grids. It contains the OMCLDRR data for all L2 scenes that have observation time betweeen UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved Without Averaging. Scientist can apply data filtering scheme of their choice and create new gridded products. OMCLDRRG data products are stored in EOS Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (~14 orbits). The average file size for the OMCLDRRG data product is about 75 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://daac.gsfc.nasa.gov/Aura/tools.shtml. The GES DISC developed interactive tool Giovanni ( http://giovanni.gsfc.nasa.gov/ ) provides on-line web based capabilities to browse and explore Aura data. A README document containing brief algorithm description and known data quality related issues and file spec are provided by the OMCLDRR and OMCLDRRG Algorithm lead (see http://disc.sci.gsfc.nasa.gov/Aura/OMI/omcldrrg_v003.shtml ). Data Category Parameters: The OMCLDRRG data file consists of a Grid Data Object which contains complete information of each pixel binned into the grid. Cloud Parameters (and Precision): Two Effective Cloud Fraction and Cloud Pressure (based on two different clear and cloudy scene reflectivity criteria), Cloud Mask Ancillary Data: Terrain Pressure, Terrain Height, Reflectivity, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many other Algorithm Parameters Quality Flags: Ground Pixel QualityFlags, Measurement QualityFlags, Processing Quality Flags Time and Geolocation Data: Time, Latitude, Longitude, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Line Number, Scene Number, Number Of Candidate Scenes, Path Length, Orbit Number

Summary

Description

The reprocessed Version-3 Aura OMI Level-2G Cloud data product OMCLDRRG has been made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC).(http://disc.gsfc.nasa.gov/Aura/OMI/omcldrrg_v003.shtml Aura OMI provides two Level-2G Cloud products (OMCLDRRG and OMCLDO2G)that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2G global cloud product (OMCLDRRG) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. (The shortname for this Level-2G OMI Cloud Pressure and Fraction product is OMCLDRRG) The algorithm lead for the products OMCLDRR and OMCLDRRG is NASA OMI scientist Dr. Joanna Joinner(Joanna.Joiner.1 at nasa.gov ). OMCLDRRG data product is a special Level-2G Gridded Global Product where pixel level data (OMCLDRR)are binned into 0.25x0.25 degree global grids. It contains the OMCLDRR data for all L2 scenes that have observation time betweeen UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved Without Averaging. Scientist can apply data filtering scheme of their choice and create new gridded products. OMCLDRRG data products are stored in EOS Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (~14 orbits). The average file size for the OMCLDRRG data product is about 75 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://daac.gsfc.nasa.gov/Aura/tools.shtml. The GES DISC developed interactive tool Giovanni ( http://giovanni.gsfc.nasa.gov/ ) provides on-line web based capabilities to browse and explore Aura data. A README document containing brief algorithm description and known data quality related issues and file spec are provided by the OMCLDRR and OMCLDRRG Algorithm lead (see http://disc.sci.gsfc.nasa.gov/Aura/OMI/omcldrrg_v003.shtml ). Data Category Parameters: The OMCLDRRG data file consists of a Grid Data Object which contains complete information of each pixel binned into the grid. Cloud Parameters (and Precision): Two Effective Cloud Fraction and Cloud Pressure (based on two different clear and cloudy scene reflectivity criteria), Cloud Mask Ancillary Data: Terrain Pressure, Terrain Height, Reflectivity, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many other Algorithm Parameters Quality Flags: Ground Pixel QualityFlags, Measurement QualityFlags, Processing Quality Flags Time and Geolocation Data: Time, Latitude, Longitude, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Line Number, Scene Number, Number Of Candidate Scenes, Path Length, Orbit Number

Summary

Description

The reprocessed OMI/Aura Level-2 Zoomed Ozone data product OMDOAO3Z at 13x12 km resolution is now available (http://disc.gsfc.nasa.gov/Aura/OMI/omdoao3z_v003.shtml ) from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. It is the second release of Version 003 and was reprocessed late 2011. OMI provides two sets of total column ozone products OMTO3 and OMDOAO3 which are based on two different algorithms. OMTO3 product is based on TOMS like ozone retrieval algorithm whereas OMDOAO3 total column ozone product is based on the Differential Absorption Spectroscopy (DOAS) fitting technique that essentially uses the OMI visible radiance values between 331.1 and 336.1 nm. The DOAS retrieval algorithm is developed by the KNMI OMI Scientist, Dr Pepijn Veefkind. Based on spatial reolutions, there are two DOAS algorithm based ozone products, OMDOAO3 (at 13x24 km resolution) and OMDOAO3Z (13x12 km resolution) . In addition to the total ozone column values these DOAS based ozone products also contain some auxiliary derived and ancillary input parameters e.g. ozone slant column density, ozone ghost column density, air mass factor, scene reflectivity, radiance over the DOAS fit window, root mean square of DAOS fit, cloud fraction, cloud radiance, cloud pressure, terrain height, geolocation, viewing angles and quality flags. (The shortname for this Level-2 OMI Zoomed Ozone product is OMDOAO3Z) OMDOAO3Z files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). OMDOAO3Z data files are based on Zoomed Level 1B radiance observations which are made once a month. Thus there is one day of zoomed data (approximately 14 orbits) per month. The maximum file size for the OMDOAO3Z data is about 30 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A Readme document containing brief algorithm description and known data quality related issues and file spec are provided by the OMDOAO3 Algorithm lead (see documents available from OMI product site http://disc.sci.gsfc.nasa.gov/Aura/data-holdings/OMI/omdoao3z_v003.shtml The Ozone Monitoring Instrument (OMI) launched on NASA Aura satellite in July 2004, has been providing daily global measurements of clouds, atmospheric pollutants (Ozone, Nitrogen dioxide, Sulfur-dioxide, HCHO and Aerosols from biomass burning and industrial emissions) , BrO and OClO for tracking ozone depletion and surface UV irradiance. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meteorological Institute (FMI), to the US EOS-Aura Mission. The principal investigator's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites:

Summary

Description

The reprocessed Aura OMI Version 003 Level 2 Cloud Data Product OMCLDRR is made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.gsfc.nasa.gov/Aura/OMI/omcldrr_v003.shtml ) Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product (OMCLDRR) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. (The shortname for this Level-2 OMI cloud pressure and fraction product is OMCLDRR) OMCLDRR files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes. A short OMCLDRR Readme Document that includes brief algorithm description and data quality is also provided by the OMCLDRR Algorithm lead. Data Category Parameters: The OMCLDRR data file contains one swath which consists of two groups: Data fields: Two Effective Cloud Fraction and two Cloud Top Pressures that are based on two different clear and cloudy scene reflectivity criteria, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags.

Summary

Description

The reprocessed Aura OMI Version 003 Level 2 Cloud Data Product OMCLDRR is made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.gsfc.nasa.gov/Aura/OMI/omcldrr_v003.shtml ) Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product (OMCLDRR) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. (The shortname for this Level-2 OMI cloud pressure and fraction product is OMCLDRR) OMCLDRR files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes. A short OMCLDRR Readme Document that includes brief algorithm description and data quality is also provided by the OMCLDRR Algorithm lead. Data Category Parameters: The OMCLDRR data file contains one swath which consists of two groups: Data fields: Two Effective Cloud Fraction and two Cloud Top Pressures that are based on two different clear and cloudy scene reflectivity criteria, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags.

Summary

Description

The reprocessed Version-3 Aura OMI Level-2G Cloud data product OMCLDRRG has been made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC).(http://disc.gsfc.nasa.gov/Aura/OMI/omcldrrg_v003.shtml Aura OMI provides two Level-2G Cloud products (OMCLDRRG and OMCLDO2G)that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2G global cloud product (OMCLDRRG) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. (The shortname for this Level-2G OMI Cloud Pressure and Fraction product is OMCLDRRG) The algorithm lead for the products OMCLDRR and OMCLDRRG is NASA OMI scientist Dr. Joanna Joinner(Joanna.Joiner.1 at nasa.gov ). OMCLDRRG data product is a special Level-2G Gridded Global Product where pixel level data (OMCLDRR)are binned into 0.25x0.25 degree global grids. It contains the OMCLDRR data for all L2 scenes that have observation time betweeen UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved Without Averaging. Scientist can apply data filtering scheme of their choice and create new gridded products. OMCLDRRG data products are stored in EOS Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (~14 orbits). The average file size for the OMCLDRRG data product is about 75 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://daac.gsfc.nasa.gov/Aura/tools.shtml. The GES DISC developed interactive tool Giovanni ( http://giovanni.gsfc.nasa.gov/ ) provides on-line web based capabilities to browse and explore Aura data. A README document containing brief algorithm description and known data quality related issues and file spec are provided by the OMCLDRR and OMCLDRRG Algorithm lead (see http://disc.sci.gsfc.nasa.gov/Aura/OMI/omcldrrg_v003.shtml ). Data Category Parameters: The OMCLDRRG data file consists of a Grid Data Object which contains complete information of each pixel binned into the grid. Cloud Parameters (and Precision): Two Effective Cloud Fraction and Cloud Pressure (based on two different clear and cloudy scene reflectivity criteria), Cloud Mask Ancillary Data: Terrain Pressure, Terrain Height, Reflectivity, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many other Algorithm Parameters Quality Flags: Ground Pixel QualityFlags, Measurement QualityFlags, Processing Quality Flags Time and Geolocation Data: Time, Latitude, Longitude, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Line Number, Scene Number, Number Of Candidate Scenes, Path Length, Orbit Number