Dual View on Clear-Sky Top-of-Atmosphere Albedos from Meteosat Second Generation Satellites

TL;DR

This study compares dual-view clear-sky TOA albedo observations from Meteosat Second Generation satellites to identify and reduce viewing-angle-dependent discrepancies, achieving consistent monthly albedo estimates with minimal errors.

Contribution

It introduces a method to quantify and significantly reduce viewing-angle-dependent errors in satellite-derived clear-sky albedo using empirical pixel-level fits for dual-view observations.

Findings

Discrepancies can be reduced to a root-mean squared difference of 0.01 in albedo.

Main sources of errors include sunglint regions, aerosol-over-ocean models, and diurnal asymmetry artifacts.

The method provides stable monthly albedo estimates across 2017.

Abstract

Geostationary observations offer the unique opportunity to resolve the diurnal cycle of the Earth's Radiation Budget at the top of the atmosphere (TOA), crucial for climate-change studies. However, a drawback of the continuous temporal coverage of the geostationary orbit is the fixed viewing geometry. As a consequence, imperfections in the angular distribution models (ADMs) used in the radiance-to-flux conversion process or residual angular-dependent narrowband-to-broadband conversion errors can result in systematic errors of the estimated radiative fluxes. In this work, focusing on clear-sky reflected TOA observations, we compare the overlapping views from Meteosat Second Generation satellites at 0{\deg} and 41.5{\deg}E longitude which enable a quantification of viewing-angle-dependent differences. Using data derived from SEVIRI, we identify some of the main sources of discrepancies, and show that they can be significantly reduced at the level of one month. This is achieved, separately for each satellite, via a masking procedure followed by an empirical fit at the pixel-level that takes into account all the clear-sky data from that satellite, calculated separately per timeslot of the day, over the month of November 2016. The method is then applied to each month of 2017, and gives a quadratic mean of the albedo root-mean squared difference over the dual-view region which is comparable from month to month, with a 2017 average value of 0.01. Sources of discrepancies include the difficulty to estimate the flux over the sunglint ocean region close to the limbs, the fact that the data processing does not include dedicated angular distribution models for the aerosol-over-ocean case, and the existence of an observer-dependent diurnal-asymmetry artefact affecting the clear-sky-albedo dependence on the solar zenith angle particularly over land areas.