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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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/ | ||||||||||||||||||||||||||||||||||||
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Document Type: | Article | ||||||||||||||||||||||||||||||||||||
Title: | Fast radiative transfer parameterisation for assessing the surface solar irradiance: The Heliosat-4 method | ||||||||||||||||||||||||||||||||||||
Authors: |
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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 - Earth Observation | ||||||||||||||||||||||||||||||||||||
DLR - Research theme (Project): | R - Remote Sensing and Geo Research | ||||||||||||||||||||||||||||||||||||
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: | 20 Jun 2021 15:48 |
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