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Validation of the CERES Edition 2B Surface-Only Flux Algorithms

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AMER METEOROLOGICAL SOC
DOI: 10.1175/2009JAMC2246.1

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  1. NASA

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The Clouds and the Earth's Radiant Energy System (CERES) project uses two shortwave (SW) and two longwave (LW) algorithms to derive surface radiative fluxes on an instantaneous footprint basis from a combination of top-of-atmosphere fluxes, ancillary meteorological data, and retrieved cloud properties. Since the CERES project examines the radiative forcings and feedbacks for Earth's entire climate system, validation of these models for a wide variety of surface conditions is paramount. The present validation effort focuses upon the ability of these surface-only flux algorithms to produce accurate CERES Edition 2B single scanner footprint data from the Terra and Aqua spacecraft measurements. To facilitate the validation process, high-quality radiometric surface observations have been acquired that were coincident with the CERES-derived surface fluxes. For both SW models, systematic errors range from -20 to -12 W m(-2) (from -2.8% to 21.6%) for global clear-sky cases, while for the all-sky SW model, the systematic errors range from 14 to 21 W m(-2) (3.2%-4.8%) for global cloudy-sky cases. Larger systematic errors were seen for the individual surface types, and significant random errors where observed, especially for cloudy-sky cases. While the SW models nearly achieved the 20 W m(-2) accuracy requirements established for climate research, further improvements are warranted. For the clear-sky LW model, systematic errors were observed to fall within +/- 5.4 W m(-2) (+/- 1.9%) except for the polar case in which systematic errors on the order from -15 to 211 W m(-2) (from -13% to -7.2%) occurred. For the all-sky LW model, systematic errors were less than +/- 9.2 W m(-2) (+/- 7.6%) for both the clear-sky and cloudy-sky cases. The random errors were less than 17 W m(-2) (6.2%) for clear-sky cases and 28 W m(-2) (13%) for cloudy-sky cases, except for the desert cases in which very high surface skin temperatures caused an overestimation in the model-calculated surface fluxes. Overall, however, the LW models met the accuracy requirements for climate research.

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