Omi science team meeting helsinki june 24 27 2008 antti arola
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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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Omi science team meeting helsinki june 24 27 2008 antti arola

OMI Science Team Meeting

Helsinki, June 24-27, 2008

Antti Arola

About the status and outlook forOMI Surface UV product


About the status and outlook for omi surface uv product

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.


About the status and outlook for omi surface uv product

Puijo tower measurements

Finnish meteorological institute and Univ. of Kuopio


Current setup of measurements

Current setup of measurements

DMPS

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

ADM

Aerosol particle size distribution (0.25-32 m)‏

CPC

Total particle number concentration

CDP

Cloud drop size distribution (2-50 m)‏

CCNC

Cloud condensation nucleus (CCN) concentration

NM

Aerosol scattering

MAAP

Aerosol absorption

WXT

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

PWD

Visibility, precipitation

GAS

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

AIS

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

CALIPSO

CloudSat

Aqua

PARASOL

Aura


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

Products:

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.


About the status and outlook for omi surface uv product

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

http://omivfd.fmi.fi/index_eng.html


Global omuvb product

Global OMUVB product


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.

    • http://disc.gsfc.nasa.gov/Aura/OMI/omuvb_v003.shtml

  • AVDC provides OMUVB overpass data for over 100 sites that has been used for validation. New sites can be added ([email protected]).


About the status and outlook for omi surface uv product

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


About the status and outlook for omi surface uv product

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


About the status and outlook for omi surface uv product

Relationship suggests a correction for the absorbing aerosols:


About the status and outlook for omi surface uv product

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


About the status and outlook for omi surface uv product

Parameterization allows post-correction of the TOMS operational UV data:


Conclusions

Conclusions

  • 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.


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