"Pixel-scale composite top-of-the-atmosphere clear-sky reflectances for Meteosat-7 visible data"
| dc.contributor.author | Ipe, A. | |
| dc.contributor.author | Clerbaux, N. | |
| dc.contributor.author | Bertrand, C. | |
| dc.contributor.author | Dewitte, S. | |
| dc.contributor.author | Gonzalez, L. | |
| dc.coverage.temporal | 21st century | |
| dc.date | 2003 | |
| dc.date.accessioned | 2016-03-07T16:16:39Z | |
| dc.date.accessioned | 2021-12-09T09:55:00Z | |
| dc.date.available | 2016-03-07T16:16:39Z | |
| dc.date.available | 2021-12-09T09:55:00Z | |
| dc.identifier.uri | https://orfeo.belnet.be/handle/internal/9030 | |
| dc.description | A new method to estimate composite top of the atmosphere (TOA) visible clear-sky reflectances for wide narrow band geostationary satellites such as the Meteosat constellation is presented. This method relies on some a priori knowledge of angular variations of TOA broadband reflectances associated with clear-sky conditions above mean surface types through the use of the clear-sky Cloud and the Earth’s Radiant Energy System (CERES) shortwave broadband angular dependency models (ADMs). Each pixel (or Earth location) viewed from such geostationary imager at a given daytime is associated with a reflectance time series made up of its chronological daily measurements. This time series can be seen as a clear-sky visible narrow band reflectance curve of the associated pixel surface plus an additive random noise modeling cloudy conditions above it. On the basis of this assumption, TOA clear-sky broadband reflectances extracted from the CERES ADMs are used to compute curve-driven fifth percentiles on these time series in order to estimate the TOA clear-sky visible narrow band reflectance curves for all pixels, while the percentile approach exhibits onldy a reduced sensitivity to cloud shadows. Benefits of our method are discussed with respect to its application to 7 months of Meteosat-7 daytime visible narrow band measurements. Finally, the performance of our algorithm is assessed through comparisons with its predicted and associated International Cloud Climatology Project DX clear-sky values with respect to a visually generated clearsky pixels database. INDEX TERMS: 3359 Meteorology and Atmospheric Dynamics: Radiative processes; 3360 Meteorology and Atmospheric Dynamics: Remote sensing; 3394 Meteorology and Atmospheric Dynamics: Instruments and techniques; KEYWORDS: pixel-scale, TOA composite, clear-sky, Meteosat-7 imager | |
| dc.language | eng | |
| dc.publisher | IRM | |
| dc.publisher | KMI | |
| dc.publisher | RMI | |
| dc.relation.ispartofseries | Journal of Geophysical Research, 108(D19), 4612, | |
| dc.title | "Pixel-scale composite top-of-the-atmosphere clear-sky reflectances for Meteosat-7 visible data" | |
| dc.type | Article | |
| dc.subject.frascati | Earth and related Environmental sciences | |
| dc.audience | General Public | |
| dc.audience | Scientific | |
| dc.subject.free | pixel-scale | |
| dc.subject.free | TOA composite | |
| dc.subject.free | clear-sky | |
| dc.subject.free | Meteosat-7 imager | |
| dc.source.issue | Journal of Geophysical Research, 108(D19), 4612, | |
| Orfeo.peerreviewed | Not pertinent | |
| dc.identifier.doi | doi:10.1029/2002JD002771 |
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