Keywords
Team
OIE
Biography
Mireille Lefèvre is a researcher specializing in the study of solar radiation and its estimation using satellite remote sensing. Her work focuses primarily on developing and improving physical and statistical methods for estimating solar irradiance at the Earth’s surface, drawing in particular on data from Meteosat satellites and atmospheric models such as those from the Copernicus Atmosphere Monitoring Service (CAMS). She has contributed to significant advances in modeling the interactions between clouds, aerosols, and radiation, as well as in optimizing satellite image processing algorithms, such as the Heliosat and APOLLO schemes. Her research also includes the validation of irradiance databases (HelioClim, CAMS Radiation Service) at various spatiotemporal scales by comparing them with in situ measurements from international metrological networks. His expertise also extends to the integration of these data into operational applications, such as climate services and energy systems.
Publication(s)
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2022
Surface solar irradiation retrieval from MSG/SEVIRI based on APOLLO Next Generation and HELIOSAT-4 methods DOI : 10.1127/metz/2022/1132
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2019
Verifying the spatial consistency of the CAMS Radiation Service and HelioClim-3 satellite-derived databases of solar radiation using a dense network of measuring stations: the case of The Netherlands DOI : 10.5194/asr-16-103-2019
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2019
Improving the McClear model estimating the downwelling solar radiation at ground level in cloud-free conditions - McClear-v3 DOI : 10.1127/metz/2019/0946
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2018
Downwelling surface solar irradiance in the tropical Atlantic Ocean: A comparison of re-analyses and satellite-derived data sets to PIRATA measurements DOI : 10.5194/os-14-1021-2018
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2017
Fast radiative transfer parameterisation for assessing the surface solar irradiance: The Heliosat-4 method DOI : 10.1127/metz/2016/0781
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2016
Validation of HelioClim-3 Version 4, HelioClim-3 Version 5 and MACC-RAD Using 14 BSRN Stations DOI : 10.1016/j.egypro.2016.06.275
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2015
Optimization based method to consolidate European transmission data DOI : 10.1109/PTC.2015.7232454
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2015
Including the temporal change in PM2.5 concentration in the assessment of human health impact: Illustration with renewable energy scenarios to 2050 DOI : 10.1016/j.eiar.2014.09.003
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2014
The HelioClim-1 database of daily solar radiation at earth surface: An example of the benefits of GEOSS data-CORE DOI : 10.1109/JSTARS.2013.2283791
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2014
Erratum: Decoupling the effects of clear atmosphere and clouds to simplify calculations of the broadband solar irradiance at ground level (Geoscientific Model Development (2014) 7 (1661-1669)) DOI : 10.5194/gmd-7-2409-2014
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2014
Improving HelioClim-3 estimates of surface solar irradiance using the McClear clear-sky model and recent advances in atmosphere composition DOI : 10.5194/amt-7-3927-2014
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2014
Decoupling the effects of clear atmosphere and clouds to simplify calculations of the broadband solar irradiance at ground level DOI : 10.5194/gmd-7-1661-2014
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2014
Twelve monthly maps of ground Albedo parameters derived from MODIS data sets DOI : 10.1109/IGARSS.2014.6947177
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2013
McClear: A new model estimating downwelling solar radiation at ground level in clear-sky conditions DOI : 10.5194/amt-6-2403-2013
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2011
The HelioClim project: Surface solar irradiance data for climate applications DOI : 10.3390/rs3020343
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2011
The performances of the helioclim databases in Mozambique
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2010
Assessing surface solar irradiance and its long-term variations in the northern Africa desert climate using Meteosat images DOI : 10.1080/01431160902882645
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2007
Using reduced data sets ISCCP-B2 from the Meteosat satellites to assess surface solar irradiance DOI : 10.1016/j.solener.2006.03.008
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2004
The method Heliosat-2 for deriving shortwave solar radiation from satellite images DOI : 10.1016/j.solener.2004.04.017
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2002
The operational calibration of images taken in the visible channel of the meteosat series of satellites DOI : 10.1175/1520-0426(2002)0191285:TOCOIT2.0.CO;2
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2000
An automatic method for the calibration of time-series of Meteosat images DOI : 10.1080/014311600210416