03 Mar 2021

03 Mar 2021

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

UV-Indien Network ground-based measurements: comparisons with satellite and model estimates of UV radiation over the Western Indian Ocean

Kevin Lamy1, Thierry Portafaix1, Colette Brogniez2, Kaisa Lakkala3,4, Mikko R. A. Pitkänen4, Antti Arola4, Jean-Baptiste Forestier1, Vincent Amelie5, Mohamed Abdoulwahab Toihir6, and Solofoarisoa Rakotoniaina7 Kevin Lamy et al.
  • 1LACy, Laboratoire de l’Atmosphère et des Cyclones (UMR 8105 CNRS, Université de La Réunion, Météo-France), Saint-Denis de La Réunion, France
  • 2LOA, Laboratoire d’Optique Atmosphérique (Univ. Lille, CNRS - UMR 8518) Lille, France
  • 3Space and Earth Observation Centre, Finnish Meteorological Institute, Sodankylä, Finland
  • 4Climate Research Programme, Finnish Meteorological Institute, Kuopio, Finland
  • 5Seychelles Meteorological Authority, Mahé, Seychelles
  • 6Agence Nationale de l’Aviation Civile et de la Météorologie, Moroni, Comores
  • 7IOGA, Institute and Observatory of Geophysics of Antananarivo (IOGA) University of Antananarivo, Madagascar

Abstract. As part of the UV-Indien Network, 9 ground-based stations have been equipped with one spectroradiometer, radiometers and all-sky cameras. These stations are homogeneously distributed in 5 countries of the Western Indian Ocean region (Comoros, France, Madagascar, Mauritius and Seychelles), a part of the world where almost no measurements have been made so far. The main scientific objectives of this network are to study the annual and inter-annual variability of the ultraviolet (UV) radiation in this area, to validate the output of numerical models and satellite estimates of ground-based UV measurements, and to monitor UV radiation in the context of climate change and projected ozone depletion in this region. The first results are presented here for the oldest stations (Antananarivo, Anse Quitor, Mahé and Saint-Denis). Ground-based measurements of UV index (UVI) are compared against satellite estimates (Ozone Monitoring Instrument (OMI), the TROPOspheric Monitoring Instrument (TROPOMI), the Global Ozone Monitoring Experiment (GOME) and model forecasts of UVI (Tropospheric Emission Monitoring Internet Service (TEMIS) and Copernicus Atmospheric Monitoring Service (CAMS). The median relative differences between satellite or model estimates and ground-based measurements of clear-sky UVI range between −34.5 % and 15.8 %. Under clear skies, the smallest UVI median difference between the satellites or model estimates and the measurements of ground-based instruments is found to be 0.02 (TROPOMI), 0.04 (OMI), −0.1 (CAMS) and −0.4 (CAMS) at St-Denis, Antananarivo, Anse Quitor and Mahé respectively. The cloud fraction and UVI diurnal profile are calculated for these four stations. The mean UVI values at local solar noon range between 10 (Antananarivo, Anse Quitor and Saint-Denis) and 14 at Mahé. The mean UVIs in clear-sky conditions are higher than mean UVI in all-sky conditions, although it can still be noted that UVI maxima are higher for all-sky conditions than for clear sky conditions. This is the result of UVI enhancement induced by clouds, observed at these four stations. The greatest increase in UV radiation under cloudy conditions was observed at the Mahé station, with increases of more than 4. The data used in this study is available at (Lamy and Portafaix, 2021).

Kevin Lamy et al.

Status: open (until 07 May 2021)

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Kevin Lamy et al.

Data sets

Ultraviolet Index measurements in the Indian Ocean Kevin Lamy and Thierry Portafaix

Kevin Lamy et al.


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Short summary
This study concerns the validation of a new dataset from the measurement of ultraviolet radiation received at the Earth's surface. Cloud cover observations are associated with these radiation measurements. These measurements are carried out for four stations located in the Indian Ocean. The objective is to understand the evolution over time of solar radiation in relation to cloud cover. A good agreement is obtained between satellite or numerical model estimates and ground measurements.