Abstract

Abstract. Radiative fluxes at the top of the atmosphere (TOA) from the Clouds and the Earth's Radiant Energy System (CERES) instrument are fundamental variables for understanding the Earth's energy balance and how it changes with time. TOA radiative fluxes are derived from the CERES radiance measurements using empirical angular distribution models (ADMs). This paper evaluates the accuracy of CERES TOA fluxes using direct integration and flux consistency tests. Direct integration tests show that the overall bias in regional monthly mean TOA shortwave (SW) flux is less than 0.2 Wm−2 and the RMSE is less than 1.1 Wm−2. The bias and RMSE are very similar between Terra and Aqua. The bias in regional monthly mean TOA LW fluxes is less than 0.5 Wm−2 and the RMSE is less than 0.8 Wm−2 for both Terra and Aqua. The accuracy of the TOA instantaneous flux is assessed by performing tests using fluxes inverted from nadir- and oblique-viewing angles using CERES along-track observations and temporally and spatially matched MODIS observations, and using fluxes inverted from multi-angle MISR observations. The averaged TOA instantaneous SW flux uncertainties from these two tests are about 2.3 % (1.9 Wm−2) over clear ocean, 1.6 % (4.5 Wm−2) over clear land, and 2.0 % (6.0 Wm−2) over clear snow/ice; and are about 3.3 % (9.0 Wm−2), 2.7 % (8.4 Wm−2), and 3.7 % (9.9 Wm−2) over ocean, land, and snow/ice under all-sky conditions. The TOA SW flux uncertainties are generally larger for thin broken clouds than for moderate and thick overcast clouds. The TOA instantaneous daytime LW flux uncertainties derived from the CERES-MODIS test are 0.5 % (1.5 Wm−2), 0.8 % (2.4 Wm−2), and 0.7 % (1.3 Wm−2) over clear ocean, land, and snow/ice; and are about 1.5 % (3.5 Wm−2), 1.0 % (2.9 Wm−2), and 1.1 % (2.1 Wm−2) over ocean, land, and snow/ice under all-sky conditions. The TOA instantaneous nighttime LW flux uncertainties are about 0.5–1 % (< 2.0 Wm−2) for all surface types. Flux uncertainties caused by errors in scene identification are also assessed by using the collocated CALIPSO, CloudSat, CERES and MODIS data product. Errors in scene identification tend to underestimate TOA SW flux by about 0.6 Wm−2 and overestimate TOA daytime (nighttime) LW flux by 0.4 (0.2) Wm−2 when all CERES viewing angles are considered.

Highlights

  • The Clouds and the Earth’s Radiant Energy System (CERES) instruments have been providing top-of-atmosphere (TOA) radiative fluxes to the scientific community since the late 1990s, and have resulted in about 900 peer-reviewed journal publications with over 26 000 citations

  • The TOA LW biases for the Edition 4 Satellite Footprint TOA/Surface Fluxes and Clouds (SSF) are less than 0.5 Wm−2 and the RMSEs are less than 0.8 Wm−2 for all months

  • We evaluated the TOA flux errors caused by the uncertainties in CERES angular distribution models (ADMs) that were recently developed using all available CERES rotating azimuth plane (RAP) measurements (Su et al, 2015)

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Summary

Introduction

The Clouds and the Earth’s Radiant Energy System (CERES) instruments have been providing top-of-atmosphere (TOA) radiative fluxes to the scientific community since the late 1990s, and have resulted in about 900 peer-reviewed journal publications with over 26 000 citations (as of October 2014). Su et al (2015) described the methodology used to develop the next-generation CERES ADMs, which were developed using the latest cloud algorithms (Minnis et al, 2010) These newly developed ADMs are used to produce the Edition 4 Single Satellite Footprint TOA/Surface Fluxes and Clouds (SSF) product for Terra and Aqua and Edition 1 SSF product for Suomi NPP, whereas fluxes in the Edition 2 and 3 SSF products are inverted using the ADMs described in Loeb et al (2005). These ADMs are constructed using data taken in the rotating azimuth plane (RAP) scan mode. We take advantage of the merged CALIPSO, CloudSat, CERES, MODIS (C3M) data product (Kato et al, 2010) to assess the flux errors due to scene identification uncertainties (Sect. 5)

Shortwave
Longwave
Instantaneous TOA flux consistency test between CERES and MODIS
TOA SW flux consistency under clear conditions
TOA SW flux consistency under cloudy conditions
TOA LW flux consistency
TOA flux uncertainty
Instantaneous multi-angle TOA SW flux consistency from MISR
TOA SW flux consistency by cloud type
Quantification of the parallax effect
Flux uncertainty from scene identification error
Findings
Conclusions
Full Text
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