Abstract
Abstract. We present a validation study of Collection 5 MODIS level 2 Aqua and Terra AOT (aerosol optical thickness) and AE (Ångström exponent) over ocean by comparison to coastal and island AERONET (AErosol RObotic NETwork) sites for the years 2003–2009. We show that MODIS (MODerate-resolution Imaging Spectroradiometer) AOT exhibits significant biases due to wind speed and cloudiness of the observed scene, while MODIS AE, although overall unbiased, exhibits less spatial contrast on global scales than the AERONET observations. The same behaviour can be seen when MODIS AOT is compared against Maritime Aerosol Network (MAN) data, suggesting that the spatial coverage of our datasets does not preclude global conclusions. Thus, we develop empirical correction formulae for MODIS AOT and AE that significantly improve agreement of MODIS and AERONET observations. We show these correction formulae to be robust. Finally, we study random errors in the corrected MODIS AOT and AE and show that they mainly depend on AOT itself, although small contributions are present due to wind speed and cloud fraction in AOT random errors and due to AE and cloud fraction in AE random errors. Our analysis yields significantly higher random AOT errors than the official MODIS error estimate (0.03 + 0.05 τ), while random AE errors are smaller than might be expected. This new dataset of bias-corrected MODIS AOT and AE over ocean is intended for aerosol model validation and assimilation studies, but also has consequences as a stand-alone observational product. For instance, the corrected dataset suggests that much less fine mode aerosol is transported across the Pacific and Atlantic oceans.
Highlights
Aerosols affect the Earth’s radiation budget, either through scattering and absorption of direct sunlight or through modification of cloud parameters
Summarizing the results from this sub-section and the previous one, we argue that it is necessary to use an independent sub-sample of MODIS–AERONET data pairs for the error analysis
Before we discuss the correction of MODIS AE, we will study MODIS AE derived from Eq (1) further
Summary
Aerosols affect the Earth’s radiation budget, either through scattering and absorption of direct sunlight or through modification of cloud parameters. Aerosols are considered the dominant uncertainty in radiative forcing estimates for the Earth’s atmosphere. One of the best known satellite datasets of aerosol observations are formed by the observations of the two MODIS2 sensors aboard the Aqua (local Equator crossing time of 13:30) and Terra (local Equator crossing time of 10:30) satellites. These sensors fly at an altitude of 705 km and have a cross-track view of 2330 km. They observe the earth in 36 different spectral bands, of which several bands in the visual and near-infrared are suited to aerosol retrievals
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