omi science team meeting helsinki june 24 27 2008 antti arola
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About the status and outlook for OMI Surface UV product

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OMI Science Team Meeting Helsinki, June 24-27, 2008 Antti Arola. About the status and outlook for OMI Surface UV product. Aapo left FMI about three months ago.

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Aapo left FMI about three months ago.

Since then, I have been responsible for the scientific development of OMUVB, while Simo Tukiainen has been responsible for the processing related issues.


Puijo tower measurements

Finnish meteorological institute and Univ. of Kuopio

current setup of measurements
Current setup of measurements


Aerosol particle size distribution (7-900 nm)* simultaneously in and out of cloud”


Aerosol particle size distribution (0.25-32 m)‏


Total particle number concentration


Cloud drop size distribution (2-50 m)‏


Cloud condensation nucleus (CCN) concentration


Aerosol scattering


Aerosol absorption


Weather parameters (T, RH, p, wind 2D)‏


Visibility, precipitation


Gas concentrations (NO-NOx, O3, SO2, CO)‏


Ion spectrometer

DMPS = differential mobility particle sizer; ADM = ambient dust monitor; CPC = condensation particle counter; CDP = cloud droplet probe; CCNC = cloud condensation nuclei counter; NM = nephelometer;MAAP = multi-angle absorption photometer; WXT = weather transmitter; PWD = present weather detector;AIS = Air Ion Spectrometer

aeronet station
AERONET station

Provide a long term data set to:

  • Characterize aerosol optical properties
  • Validate Satellite & model aerosol retrievals
  • Synergism with Satellite obs., models sfc net
  • AERONET sites in Finland
    • Hyytiälä
    • Kuopio
    • Pallas
    • Helsinki_Lighthouse
    • Sodankylä‏
  • Soon FMI campaign site in India, near Delhi
satellite observations from a train
Satellite observations from A-train






omi surface uv algorithm and surface uv products
OMI Surface UV Algorithm and Surface UV Products

Inherits from the TOMS UV algorithm based on look-up-tables made with various radiative transfer models.

Calculate clear-sky surface UV irradiance

Define cloud optical depth  that gives the measured TOA radiance

Make cloud correction using the obtained 

Absorbing aerosol correction to be added in the future


Erythemal dose rate both at overpass and at local solar noon (UV Index)‏

Erythemal daily dose

Irradiances at 305, 310, 324 and 380 nm both at overpass and at local solar noon

The OMI surface UV algorithm is implemented in two separate processing systems: OMI-VFD and Global OMUVB.


OMI Very-Fast-Delivery has been operational since March 2006

OMI data is received by Direct Broadcast in Sodankylä and is processed immediately after each overpass of the Aura satellite. Distribution plots for total column ozone, UV Index and Erythemal daily dose are published within 30 minutes after the overpass at

processing status and data release
Processing Status and Data Release
  • OMUVB Level 2 V003 reprocessing is on-going. Years 2007 and 2008 are ready, earlier data is in progress.
  • Level 2 HDF5-EOS data are available at GES DISC.
  • AVDC provides OMUVB overpass data for over 100 sites that has been used for validation. New sites can be added ([email protected]).

Tanskanen, A., et al. (2007), Validation of daily erythemal doses from Ozone Monitoring Instrument with ground-basedUV measurement data, J. Geophys. Res., 112, D24S44, doi:10.1029/2007JD008830.

Brewers in Jokioinen and Sodankylä

SUV100 network data by National Science Foundation

Canadian Brewer network data from Meteorological Service of Canada

Spectral UV data from Lauder and Tokyo


Arola, A., S. Kazadzis, N. Krotkov, A. Bais, J. Grobner, and J. R. Herman (2005), Assessment of TOMS UV bias due to absorbing aerosols, J. Geophys. Res., 110, D23211, doi:10.1029/2005JD005913.

Corr. coeff. = 0.76

Slope = 2.4


Kinne, S.: Aerosol Direct Radiative Forcing with an AERONET touch, Atmos. Environ., submitted, 2007.

  • Analog to the TOMS total column ozone time-series the surface UV time-series are continued with the OMI measurement data applying an algorithm that is similar to the TOMS UV algorithm.
  • There is a need to introduce a correction for absorbing aerosols. First step is to include a monthly climatology based on global aerosol models, satellite data, and sunphotometer measurements.
  • The validation effort continues, important particularly when changes to the algorithm are applied.