Abstract

Abstract. This paper describes an efficient and unique method for computing the shortwave direct radiative effect (DRE) of aerosol residing above low-level liquid-phase clouds using CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) and MODIS (Moderate Resolution Imaging Spectroradiometer) data. It addresses the overlap of aerosol and cloud rigorously by utilizing the joint histogram of cloud optical depth and cloud top pressure while also accounting for subgrid-scale variations of aerosols. The method is computationally efficient because of its use of grid-level cloud and aerosol statistics, instead of pixel-level products, and a precomputed look-up table based on radiative transfer calculations. We verify that for smoke and polluted dust over the southeastern Atlantic Ocean the method yields a seasonal mean instantaneous (approximately 13:30 local time) shortwave DRE of above-cloud aerosol (ACA) that generally agrees with a more rigorous pixel-level computation within 4%. We also estimate the impact of potential CALIOP aerosol optical depth (AOD) retrieval bias of ACA on DRE. We find that the regional and seasonal mean instantaneous DRE of ACA over southeastern Atlantic Ocean would increase, from the original value of 6.4 W m−2 based on operational CALIOP AOD to 9.6 W m−2 if CALIOP AOD retrievals are biased low by a factor of 1.5 (Meyer et al., 2013) and further to 30.9 W m−2 if CALIOP AOD retrievals are biased low by a factor of 5 as suggested in Jethva et al. (2014). In contrast, the instantaneous ACA radiative forcing efficiency (RFE) remains relatively invariant in all cases at about 53 W m−2 AOD−1, suggesting a near-linear relation between the instantaneous RFE and AOD. We also compute the annual mean instantaneous shortwave DRE of light-absorbing aerosols (i.e., smoke and polluted dust) over global oceans based on 4 years of CALIOP and MODIS data. We find that given an above-cloud aerosol type the optical depth of the underlying clouds plays a larger role than above-cloud AOD in the variability of the annual mean shortwave DRE of above-cloud light-absorbing aerosol. While we demonstrate our method using CALIOP and MODIS data, it can also be extended to other satellite data sets.

Highlights

  • The shortwave direct radiative effect (DRE) of aerosols at the top of the atmosphere (TOA) is strongly dependent on the reflectance of the underlying surface

  • It is worthwhile to clarify again that the results shown in Fig. 3 are seasonal mean instantaneous DRE at A-Train crossing time (13:30 LT) based on Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) above-cloud aerosol optical depth (AOD) and corrected Aqua-Moderate Resolution Imaging Spectroradiometer (MODIS) below-aerosol cloud optical depth (COD) retrievals

  • Recent advances in satellite-based remote sensing, in par- the MODIS daily level-3 cloud product after the correction ticular the launch of the space-borne lidar CALIOP, have of above-cloud AOD contamination using the method deprovided an unprecedented opportunity for studying the scribed in Sect

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Summary

Introduction

The shortwave direct radiative effect (DRE) of aerosols at the top of the atmosphere (TOA) is strongly dependent on the reflectance of the underlying surface. Over dark surfaces (e.g., ocean, vegetated land), the scattering effect of aerosols is generally dominant, leading to negative DRE (i.e., cooling) at TOA (Yu et al, 2006). In order to understand the full complexity of aerosol radiative effects on climate, it is important to quantify the DRE under both clear-sky and cloudy-sky conditions. Current model simulations show a large intermodel spread in cloudy-sky DRE (Schulz et al, 2006), which results from intermodel differences in both aerosol and cloud properties (Schulz et al, 2006; Stier et al, 2013). There is a clear need for an observational constraint on the DRE of above-cloud aerosol (ACA)

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