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Fast radiative transfer parameterisation for assessing the surface solar irradiance: The Heliosat-4 method

Qu, Zhipeng and Oumbe, Armel and Blanc, Philippe and Espinar, Bella and Gesell, Gerhard and Gschwind, Benoit and Klüser, Lars and Lefèvre, Mireille and Saboret, Laurent and Schroedter-Homscheidt, Marion and Wald, Lucien (2017) Fast radiative transfer parameterisation for assessing the surface solar irradiance: The Heliosat-4 method. Meteorologische Zeitschrift, 26 (1), pp. 33-57. Borntraeger Science Publishers. DOI: 10.1127/metz/2016/0781 ISSN 0941-2948

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Official URL: http://www.schweizerbart.de/papers/metz/detail/prepub/87036/Fast_radiative_transfer_parameterisation_for_assessing_the_surface_solar_irradiance_The_Heliosat_4_method

Abstract

The new Heliosat-4 method estimates the downwelling shortwave irradiance received at ground level in all sky conditions. It provides the global irradiance and its direct and diffuse components on a horizontal plane and the direct irradiance for a plane normal to sun rays. It is a fully physical model using a fast, but still accurate approximation of radiative transfer modelling and is therefore well suited for geostationary satellite retrievals. It can also be used as a fast radiative transfer model in numerical weather prediction models. It is composed of two models based on abaci, also called look-up tables: the already-published McClear model calculating the irradiance under cloud-free conditions and the new McCloud model calculating the extinction of irradiance due to clouds. Both have been realized by using the libRadtran radiative transfer model. The main inputs to Heliosat-4 are aerosol properties, total column water vapour and ozone content as provided by the Copernicus Atmosphere Monitoring Service (CAMS) every 3 h. Cloud properties are derived from images of the Meteosat Second Generation (MSG) satellites in their 15min temporal resolution using an adapted APOLLO (AVHRR Processing scheme Over cLouds, Land and Ocean) scheme. The 15min means of irradiance estimated by Heliosat-4 are compared to corresponding measurements made at 13 stations within the Baseline Surface Radiation Network and being located in the field of view ofMSG and in various climates. The bias for global irradiance is comprised between 2 and 32Wm−2. The root mean square error (RMSE) ranges between 74 and 94Wm−2. Relative RMSE values range between 15% and 20% of the mean observed irradiance for stations in desert and Mediterranean climates, and between 26% and 43% for rainy climates with mild winters. Correlation coefficients between 0.91 and 0.97 are found. The bias for the direct irradiance at normal incidence is comprised between −163 and +50Wm−2. The RMSE ranges from 160Wm−2 (29% of the mean observed irradiance) to 288Wm−2 (63%). The correlation coefficient ranges between 0.67 and 0.87.

Item URL in elib:https://elib.dlr.de/106996/
Document Type:Article
Title:Fast radiative transfer parameterisation for assessing the surface solar irradiance: The Heliosat-4 method
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Qu, ZhipengMines ParisTechUNSPECIFIED
Oumbe, ArmelTotal New EnergiesUNSPECIFIED
Blanc, PhilippeMines ParisTechUNSPECIFIED
Espinar, BellaMines ParisTechUNSPECIFIED
Gesell, Gerhardgerhard.gesell (at) dlr.deUNSPECIFIED
Gschwind, BenoitMines ParisTechUNSPECIFIED
Klüser, Larslars.klueser (at) dlr.deUNSPECIFIED
Lefèvre, MireilleMines ParisTechUNSPECIFIED
Saboret, LaurentTransvalorUNSPECIFIED
Schroedter-Homscheidt, Marionmarion.schroedter-homscheidt (at) dlr.dehttps://orcid.org/0000-0002-1854-903X
Wald, LucienMines ParisTechUNSPECIFIED
Date:2017
Journal or Publication Title:Meteorologische Zeitschrift
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:26
DOI :10.1127/metz/2016/0781
Page Range:pp. 33-57
Publisher:Borntraeger Science Publishers
ISSN:0941-2948
Status:Published
Keywords:Surface solar irradiance, radiative transfer, satellite observation, cloud properties, aerosols properties, solar resource
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Atmosphären- und Klimaforschung
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
German Remote Sensing Data Center > Atmosphere
Deposited By: Schroedter-Homscheidt, Marion
Deposited On:14 Nov 2016 12:49
Last Modified:08 Mar 2018 18:46

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