Albedo climatology for European land surfaces retrieved from AVHRR data (1990–2014) and its spatial and temporal analysis from green‐up to vegetation senescence. Issue 14 (18th July 2016)

• Record Type: Journal Article
• Authors: Sütterlin, M.; Stöckli, R.; Schaaf, C. B.; Wunderle, S.
• Is Part Of: Journal of geophysical research. Volume 121:Issue 14(2016)
• Page Start: 8156
• Page End: 8171
• Publication Date: 2016-07-18
• Subjects: albedo -- BRDF -- AVHRR -- surface albedo climatology -- albedo anomalies; Atmospheric physics -- Periodicals; Geophysics -- Periodicals; 551.5
• DOI: 10.1002/2016JD024933
• Languages: English
• ISSNs: 2169-897X

Abstract

Abstract: Satellite‐based, long‐term records of surface albedo characterization that accurately capture spatial and temporal patterns are essential to develop climate models and to monitor the impact of land use changes on the terrestrial energy and water balance. This study presents the first Bidirectional Reflectance Distribution Function (BRDF) and albedo data set derived from the Advanced Very High Resolution Radiometer (AVHRR) Local Area Coverage reflectance data acquired on board National Oceanic and Atmospheric Administration and Meteorological Operational platforms from 1990 to 2014 over Europe. The objectives of this paper are to describe the data set's surface albedo climatology and anomalies in the visible, near‐infrared, and shortwave broadbands for the growing season months of May to September in order to facilitate utilization of the data by the climate modeling communities. The results demonstrate that the AVHRR BRDF and albedo data have temporal and spatial patterns that are appropriate for the underlying predominant land cover type and accurately reflect the associated climate variation. Visible and near‐infrared broadband albedo anomalies are found to be contrasting in most years, and their spatial distributions depict responses of vegetation to climate events (e.g., heat waves). Visible albedo of crops and near‐infrared albedo of pastures show a higher interannual variation than respective albedos of other snow‐free land covers, while the interannual standard deviations are found to be lower than 0.015. Our findings indicate the importance of taking into account the spectrally distinct variability of surface albedo when analyzing its complex spatiotemporal dynamics in climate‐related research. Key Points: The first 1 km resolution AVHRR BRDF and albedo data set from 1990 to 2014 for Europe is presented Analysis of shortwave albedo anomalies is insufficient as albedo anomalies in VIS and NIR are mostly contrasting Climate variation and vegetation response are reflected in spectrally distinct spatiotemporal albedo patterns