Preprints
https://doi.org/10.5194/amt-2020-506
https://doi.org/10.5194/amt-2020-506

  01 Mar 2021

01 Mar 2021

Review status: this preprint is currently under review for the journal AMT.

Real-time UV-Index retrieval in Europe using Earth Observation based techniques and validation against ground-based measurements

Panagiotis G. Kosmopoulos1, Stelios Kazadzis2, Alois W. Schmalwieser3, Panagiotis I. Raptis1, Kyriakoula Papachristopoulou1, Ilias Fountoulakis1,4, Akriti Masoom5, Alkiviadis F. Bais6, Julia Bilbao7, Mario Blumthaler8, Axel Kreuter8,9, Anna Maria Siani10, Kostas Eleftheratos11, Chrysanthi Topaloglou5, Julian Gröbner2, Bjørn Johnsen12, Tove Svendby13, Jose Manuel Vilaplana14, Lionel Doppler15, Ann R. Webb16, Marina Khazova17, Hugo De Backer18, Anu Heikkilä19, Kaisa Lakkala20, Janusz Jaroslawski21, Charikleia Meleti5, Henri Diémoz4, Gregor Hülsen2, Barbara Klotz8, John Rimmer16, and Charalampos Kontoes1 Panagiotis G. Kosmopoulos et al.
  • 1National Observatory of Athens, Athens, Greece
  • 2Physikalisch-Meteorologisches Observatorium Davos, World Radiation Center, Davos Dorf, Switzerland
  • 3University of Veterinary Medicine, Vienna, Austria
  • 4Environmental Protection Agency of Aosta Valley, Aosta, Italy
  • 5Indian Institute of Technology Roorkee, India
  • 6Aristotle University of Thessaloniki, Greece
  • 7Valladolid University, Valladolid, Spain
  • 8Innsbruck Medical University, Innsbruck, Austria
  • 9Luftblick OG, Innsbruck, Austria
  • 10Sapienza University of Rome, Rome, Italy
  • 11National and Kapodistrian University of Athens, Athens, Greece
  • 12Norwegian Radiation and Nuclear Safety Authority, Bærum, Norway
  • 13Norwegian Institute for Air Research, Bærum, Norway
  • 14National Institute for Aerospace Technology, Torrejón de Ardoz, Spain
  • 15German Weather Service, Offenbach, Germany
  • 16University of Manchester, Manchester, UK
  • 17Public Health England, London, UK
  • 18Royal Meteorological Institute of Belgium, Bruxelles, Belgium
  • 19Finnish Meteorological Institute, Helsinki, Finland
  • 20Finnish Meteorological Institute, Sodankylä, Finland
  • 21Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland

Abstract. This study introduces an Earth observation (EO)-based system which is capable of operationally estimating and continuously monitoring the ultraviolet index (UVI) in Europe. The UVIOS (i.e. UV-Index Operating System) exploits a synergy of radiative transfer models with high performance computing and EO data from satellites (Meteosat Second Generation and Meteorological Operational Satellite-B), and retrieval processes (Tropospheric Emission Monitoring Internet Service, Copernicus Atmosphere Monitoring Service and the Global Land Service). It provides a near-real-time now-casting and short-term forecasting service for UV radiation over Europe. The main atmospheric inputs for the UVI simulations include ozone, clouds and aerosols while the impacts of ground elevation and surface albedo are also taken into account. The UVIOS output is the UVI at high spatial and temporal resolution (5 km and 15 minutes, respectively) for Europe (i.e. 1.5 million pixels) in real-time. The UVI is empirically related to biologically important UV dose rates and the reliability of this EO-based solution was verified against ground-based measurements from 17 stations across Europe. Stations are equipped with spectral, broadband or multi-filter instruments and cover a range of topographic and atmospheric conditions. A period of over one year of forecasted 15-min retrievals under all sky conditions were compared with the ground–based measurements. UVIOS forecasts were within ±0.5 of measured UVI for at least 70 % of the data compared at all stations. For clear sky conditions the agreement was better than 0.5 UVI for 80 % of the data. A sensitivity analysis of EO inputs and UVIOS outputs was performed in order to quantify the level of uncertainty in the derived products, and to identify the covariance between the accuracy of the output and the spatial and temporal resolution, and the quality of the inputs. Overall, UVIOS slightly overestimated UVI due to observational uncertainties in inputs of cloud and aerosol. This service will hopefully contribute to EO capabilities and will assist the provision of operational early warning systems that will help raise awareness among European Union citizens of the health implications of high UVI doses.

Panagiotis G. Kosmopoulos et al.

Status: open (until 26 Apr 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Example periods for PMOD/WRC between UVIOS and ground based measurements by Brewer B163 and QASUME II', Julian Gröbner, 11 Mar 2021 reply
  • RC1: 'Comment on amt-2020-506', Nataly Chubarova, 27 Mar 2021 reply
  • RC2: 'Comment on amt-2020-506', Anonymous Referee #1, 29 Mar 2021 reply

Panagiotis G. Kosmopoulos et al.

Panagiotis G. Kosmopoulos et al.

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Short summary
Large-scale retrievals of the Ultraviolet Index(UVI) in real-time by exploiting the modern Earth Observation data and techniques, are capable of forming operational early warning systems that raise awareness among citizens of the health implications of high UVI doses. To this direction a novel UVI operating system, the so called UVIOS, was introduced for massive outputs, while its performance was tested against ground-based measurements revealing a dependence on the input quality and resolution.