the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Validating global horizontal irradiance retrievals from Meteosat SEVIRI at increased spatial resolution against a dense network of ground-based observations
Abstract. Accurate and detailed retrieval of global horizontal irradiance (GHI) has many benefits, for instance, in support of the energy transition towards an energy supply with a high share of renewable energy sources and for validating high-resolution weather and climate models. In this study, we apply a downscaling algorithm that combines the High-Resolution Visible and standard-resolution channels onboard MSG-SEVIRI to obtain cloud physical properties and GHI at an increased nadir spatial resolution of 1 x 1 km2 instead of 3 x 3 km2. We validate the change in accuracy of the high-resolution GHI in comparison to the standard-resolution product against ground observations from a unique network of 99 pyranometers deployed during the HOPE field campaign in Jülich, Germany, from 18 April to 22 July 2013. Over the entire duration of the field campaign, a small but statistically significant reduction in root-mean-square error (RMSE) by 2.8 W m-2 is found for the high-resolution GHI at 5-minute scale. The added value of the increased spatial resolution is largest on days when GHI fluctuates strongly: for the ten most variable days a significant reduction of the RMSE by 7.9 W m-2 is obtained with high- versus standard-resolution retrievals. In contrast, we do not find significant differences between both resolutions for clear-sky and fully overcast days. The sensitivity of these results to temporal and spatial averaging scales is studied in detail. Our findings highlight the benefits of spatially dense network observations as well as a cloud-regime resolved approach for the validation of GHI retrievals. We also conclude that more research is needed to optimally exploit the instrumental capabilities of current advanced geostationary satellites in terms of spatial resolution for GHI retrieval.
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Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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Preprint
(8567 KB)
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
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- Final revised paper
Journal article(s) based on this preprint
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2024-1248', Anonymous Referee #1, 10 Jun 2024
The authors present a methodology to downscale GHI retrievals from MSG imagery which is validated againts the HOPE field campaign (a set os 99 solar radiation sensors distributed along 10x12 km2). The paper is rather good and the results also are. I think that it has enough quality to be accepted for publication and also interest in the community. I have only a few minor comments and/or doubts.
1) It is not quite clear to me what is the time scale of the GHI retrievals, since Meteosat Second Generation imagery is disseminated in 15-minutes how the authors estimate 5-minute GHI?
2) Eq 2) would need a clearer explanation, I don't see why the use of residuals istead of reflectance and it is not completeley clear (at least to me) how this ethod is used or affect to the GHI retrieval. How afect the reflectance?
3) I think that it would be eneficial a scheme or flow diagrama explaining or indicating the different steps and products used in the methodology in order to get easier for the reader the understanding.
Citation: https://doi.org/10.5194/egusphere-2024-1248-RC1 - AC1: 'Reply on RC1', Job Wiltink, 16 Jul 2024
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RC2: 'Comment on egusphere-2024-1248', Anonymous Referee #2, 28 Jun 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1248/egusphere-2024-1248-RC2-supplement.pdf
- AC2: 'Reply on RC2', Job Wiltink, 16 Jul 2024
Interactive discussion
Status: closed
-
RC1: 'Comment on egusphere-2024-1248', Anonymous Referee #1, 10 Jun 2024
The authors present a methodology to downscale GHI retrievals from MSG imagery which is validated againts the HOPE field campaign (a set os 99 solar radiation sensors distributed along 10x12 km2). The paper is rather good and the results also are. I think that it has enough quality to be accepted for publication and also interest in the community. I have only a few minor comments and/or doubts.
1) It is not quite clear to me what is the time scale of the GHI retrievals, since Meteosat Second Generation imagery is disseminated in 15-minutes how the authors estimate 5-minute GHI?
2) Eq 2) would need a clearer explanation, I don't see why the use of residuals istead of reflectance and it is not completeley clear (at least to me) how this ethod is used or affect to the GHI retrieval. How afect the reflectance?
3) I think that it would be eneficial a scheme or flow diagrama explaining or indicating the different steps and products used in the methodology in order to get easier for the reader the understanding.
Citation: https://doi.org/10.5194/egusphere-2024-1248-RC1 - AC1: 'Reply on RC1', Job Wiltink, 16 Jul 2024
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RC2: 'Comment on egusphere-2024-1248', Anonymous Referee #2, 28 Jun 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1248/egusphere-2024-1248-RC2-supplement.pdf
- AC2: 'Reply on RC2', Job Wiltink, 16 Jul 2024
Peer review completion
Journal article(s) based on this preprint
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Hartwig Deneke
Yves-Marie Saint-Drenan
Chiel Constantijn van Heerwaarden
Jan Fokke Meirink
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(8567 KB) - Metadata XML