Abstract:
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.
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.
The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO).
OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products are archived at the NASA GES DISC.
For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites:
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.
Description:
Near real-time (NRT) data are available from OMI for certain L2 and L3 products. Whereas the standard OMI forward processing acquires 2-hour L0 files from the GES DISC within 6-7 hours of real time, LANCE-OMI acquires session-based L0 files from EDOS and the end of the session is available within 10-30 minutes after real time.
Latitude Resolution:
13 km
Longitude Resolution:
24 km
Horizontal Resolution Range:
10 km - < 50 km or approximately .09 degree - < .5 degree
Temporal Resolution:
Day Time Orbit
Temporal Resolution Range:
Daily - < Weekly
Quality
The reprocessed data product is not fully validated yet.
Use Constraints
This Data set (version 003/second public release) is not fully validated yet. Before using it in any publication please contact ... algorithm team lead Dr. Joanna Joiner (Joanna.Joiner@nasa.gov) for the current known problems and updates.
Ahmad, S. P., P. F. Levelt, P. K. Bhartia, E. Hilsenrath, G. W. Leppelmeier, and J. E. Johnson, Atmospheric Products from the Ozone Monitoring Instrument (OMI), Proceedings of SPIE conference on Earth Observing Systems VIII, San Diego, California, Aug 3-8, 2003. http://disc.sci.gsfc.nasa.gov/acdisc/ozone/docs/omi-spie-2003.doc
Joiner, J., and A. Vasilkov, First Results from the OMI Rotational Raman Scattering Cloud Pressure Algorithm, IEEE Trans. Geosci. Rem. Sens,2006 (in press). http://code916.gsfc.nasa.gov/People/Joiner/
Joiner, J., A. Vasilkov, D. Flittner, J. Gleason and P. K. Bhartia, Retrieval of Cloud Pressure and Oceanic Chlorophyll Content using Raman Scattering in GOME ultraviolet spectra, J. Geophys. Res, vol 109, doi: 10,1029/2003JD003915,2004.
Joiner, J., A. Vasilkov, D. Flittner, E. Buscela, and J. Gleason, Retrieval of Cloud Pressure from Rotational Raman Scattering, in Algorithm Theoretical Baseline Document: Clouds, Aerosols, and Surface UV Irradiance, P. Stammes (ed.), vol. III, ATBD-OMI-03, version 2.0, Aug. 2002. http://eospso.gsfc.nasa.gov/sites/default/files/atbd/ATBD-OMI-02.pdf
Joiner, J., P.K.Bhartia,R.P.Cebula, E. Hilsenrath, R.D. McPeters and H. Park, Rotational Raman Scattering (Ring Effect) in satellite backscatter ultraviolet measurements, Appl. Opt, vol 34, pp. 4513-4525, 1995.
Joiner, J. and P.K. Bhartia, The Determination of Cloud Pressure from Rotational Raman Scattering in Satellite Back Scatter Ultraviolet Measurements, J. Geophys. Res, vol 100, pp 23019-23026, 1995.
Levelt, P.F., J. P. Veefkind, R. H. M. Voors, and J. de Vries, Instrument Description, Algorithm Theoretical Baseline Document: OMI Instrument, Level 0 - 1B processor, Calibration Operations, P. F. Levelt (ed.), vol. I, ATBD-OMI-01, version 2, Aug. 2002. http://eospso.gsfc.nasa.gov/sites/default/files/atbd/ATBD-OMI-01.pdf
Levelt, P. F., B. van den Oord, E. Hilsenrath, G. W. Leppelmeier, P. K. Bhartia, A. Malkki, H. Kelder, R. J. van der A, E. J. Brinksma, R. van Oss, P. Veefkind, M. van Weele, and R. Noordhoek, Science Objectives of EOS-Aura's Ozone Monitoring Instrument (OMI), Proc. Quad. Ozone Symposium, Sapporo, Japan, pp. 127-128, 2000.
Schoeberl, M.R., A.R. Douglass, E. Hilsenrath, P.K. Bhartia, J. Barnett, J. Gille, R. Beer, M. Gunson, J. Waters, P.F. Levelt, P. DeCola, The EOS Aura Mission, EOS, Transactions, American Geophysical Union 85 , Number 18, 4 May 2004. [ Preprint] http://aura.gsfc.nasa.gov/project/eos-agu-aura-article.pdf
Vasilkov, A. P., J. Joiner, K. Yang, R. Spurr, and P.K. Bhartia, Comparisons of OMI Cloud Pressures Derived from Rotational Raman Scattering with Collocated EOS Aqua/MODIS data with Supporting Radiative Transfer Calculations,Validation of OMI cloud pressure, Aura Meeting, 2004. http://code916.gsfc.nasa.gov/People/Joiner/OMCLDRR_validation_web.htm
Vasilkov, A. P., J. Joiner, K. Yang, and P. K. Bhartia, Improving total column ozone retrievals by using cloud pressures derived from Raman Scattering in the UV, Geophys. Res. Lett. 31, L20109, doi: 10.1029/2004GL020603, 2004.
