Abstract

Abstract. The top-of-atmosphere (TOA) radiative fluxes are critical components to advancing our understanding of the Earth's radiative energy balance, radiative effects of clouds and aerosols, and climate feedback. The Clouds and the Earth's Radiant Energy System (CERES) instruments provide broadband shortwave and longwave radiance measurements. These radiances are converted to fluxes by using scene-type-dependent angular distribution models (ADMs). This paper describes the next-generation ADMs that are developed for Terra and Aqua using all available CERES rotating azimuth plane radiance measurements. Coincident cloud and aerosol retrievals, and radiance measurements from the Moderate Resolution Imaging Spectroradiometer (MODIS), and meteorological parameters from Goddard Earth Observing System (GEOS) data assimilation version 5.4.1 are used to define scene type. CERES radiance measurements are stratified by scene type and by other parameters that are important for determining the anisotropy of the given scene type. Anisotropic factors are then defined either for discrete intervals of relevant parameters or as a continuous functions of combined parameters, depending on the scene type. Significant differences between the ADMs described in this paper and the existing ADMs are over clear-sky scene types and polar scene types. Over clear ocean, we developed a set of shortwave (SW) ADMs that explicitly account for aerosols. Over clear land, the SW ADMs are developed for every 1° latitude × 1° longitude region for every calendar month using a kernel-based bidirectional reflectance model. Over clear Antarctic scenes, SW ADMs are developed by accounting the effects of sastrugi on anisotropy. Over sea ice, a sea-ice brightness index is used to classify the scene type. Under cloudy conditions over all surface types, the longwave (LW) and window (WN) ADMs are developed by combining surface and cloud-top temperature, surface and cloud emissivity, cloud fraction, and precipitable water. Compared to the existing ADMs, the new ADMs change the monthly mean instantaneous fluxes by up to 5 W m−2 on a regional scale of 1° latitude × 1° longitude, but the flux changes are less than 0.5 W m−2 on a global scale.

Highlights

  • The Clouds and the Earth’s Radiant Energy System (CERES) project has been providing data products critical to advancing our understanding of the effects of clouds and aerosols on radiative energy within the Earth–atmosphere system

  • The first set of CERES angular distribution models (ADMs) was developed using 9 months of CERES and Visible Infrared Scanner (VIRS) data from the Tropical Rainfall Measuring Mission (TRMM) satellite (Loeb et al, 2003). This set of ADMs represents a more improved anisotropy characterization than the ADMs used for Earth Radiation Budget Experiment (ERBE), which only provided anisotropy for 12 scene types (Smith et al, 1986; Suttles et al, 1988)

  • CERES instruments on Terra and Aqua are flying with Moderate Resolution Imaging Spectroradiometer (MODIS) instruments so that the higher-resolution imager can provide cloud conditions for every CERES field of view (FOV)

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Summary

Introduction

The Clouds and the Earth’s Radiant Energy System (CERES) project has been providing data products critical to advancing our understanding of the effects of clouds and aerosols on radiative energy within the Earth–atmosphere system. The first set of CERES ADMs was developed using 9 months of CERES and Visible Infrared Scanner (VIRS) data from the Tropical Rainfall Measuring Mission (TRMM) satellite (Loeb et al, 2003) This set of ADMs represents a more improved anisotropy characterization than the ADMs used for Earth Radiation Budget Experiment (ERBE), which only provided anisotropy for 12 scene types (Smith et al, 1986; Suttles et al, 1988). Validation studies reveal that the uncertainties of fluxes over snow/ice are larger than those over ocean/land, and uncertainties of fluxes over clear ocean are dependent on the MODIS fine-mode fraction (Loeb et al, 2007) These findings led to this investigation to further improve the CERES ADMs. ADMs are scene type dependent; accuracy in scene identification affects the characterization of anisotropy. The accuracy of the TOA SW, LW, and WN fluxes derived from these new ADMs will be assessed in a future publication

Observations
Angular distribution model evaluation
Clear sky
Discussion
Cloudy sky
Sea ice
Findings
Full Text
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