Open Access10.2760/383579
Preservation and harmonization of historical AVHRR LAC data to serve the needs of users in climate research
Stefan Wunderle,Christoph Neuhaus,Andrew Brooks,Fabia Hüsler,Neil Lonie,Mirko Albani,Sergio Folco,Rosemarie Leone +7 more
- 01 Nov 2017
TL;DR: In this article, the authors present the different parts of the ESA-UniBern AVHRR-LTDP project and recommendations for the next processing steps needed to generate essential climate variables (e.g. snow extent, lake surface water temperature).
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Abstract: Historical satellite data are of high value for climate research as an independent source to validate the output of climate models. Of special interest are data from the AVHRR sensor in 1km spatial resolution (LAC), which are available from 1981 until 2017 (2022). The data archived at different centers in Europe need consolidation (filling data gaps, removing redundant orbits etc.) and harmonization (generating the same format and meta-files) before transferred to ESA facilities to make a long time series accessible for scientific use. In the frame of ESA’s Long Term Data Preservation program the archived AVHRR data will be stored and maintained for the next +50 years. We will present the different parts of the ESA-UniBern AVHRR-LTDP project and recommendations for the next processing steps needed to generate essential climate variables (e.g. snow extent, lake surface water temperature).
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References
The Pathfinder Atmospheres–Extended AVHRR Climate Dataset
TL;DR: The Advanced Very High Resolution Radiometer (AVHRR) Pathfinder Atmospheres-Extended (PATMOS-x) dataset offers over three decades of global observations from the NOAA Polar-orbiting Operational Environmental Satellite (POES) project and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) [Meteorological Operational (MetOp)] satellite series as discussed by the authors.
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Deriving an inter-sensor consistent calibration for the AVHRR solar reflectance data record
TL;DR: In this article, a new set of reflectance calibration coefficients has been derived for channel 1 (0.63 μm) and channel 2(0.86 µm) of the Advanced Very High Resolution Radiometer (AVHRR) flown on the National Oceanic and Atmospheric Administration (NOAA) and European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) polar orbiting meteorological satellites.
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Achieving Subpixel Georeferencing Accuracy in the Canadian AVHRR Processing System
TL;DR: The application of the developed processing system showed that the algorithm achieved better than 1/3 FOV geolocation accuracy for AVHRR 1-km scenes, and was designed for processing daytime data as it intensively employs observations from optical solar bands, the near-infrared channel in particular.
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AVHRR Archive and Processing Facility at the University of Bern: A comprehensive 1-km satellite data set for climate change studies
Fabia Hüsler,Fabio Fontana,Christoph Neuhaus,Michael Riffler,Jan Pawel Musial,Stefan Wunderle +5 more
- 01 Jan 2011
TL;DR: In this paper, a selected application on snow cover retrieval from historical AVHRR data shows encouraging results regarding the generation of long-term climatologies from different essential climate variables.
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Geometric Quality Analysis of AVHRR Orthoimages
TL;DR: Although accuracies are high and fulfill specifications, errors exceeding the specifications can occur and vary depending on the satellite used, time and location; thus, an automated and permanent quality control of such images should be executed.
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