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Exploiting diurnal variations to evaluate the ISCCP‐FD flux calculations and radiative‐flux‐analysis‐processed surface observations from BSRN, ARM, and SURFRAD
Author(s) -
Zhang Yuanchong,
Long Charles N.,
Rossow William B.,
Dutton Ellsworth G.
Publication year - 2010
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2009jd012743
Subject(s) - cirrus , flux (metallurgy) , radiative transfer , radiative flux , shortwave , longwave , sky , environmental science , cloud fraction , atmospheric sciences , optical depth , physics , atmospheric radiative transfer codes , aerosol , remote sensing , cloud cover , meteorology , cloud computing , geology , materials science , optics , computer science , operating system , metallurgy
Using a meteorological similarity comparison method (MSCM), we performed a mutual and simultaneous evaluation of the surface radiative flux datasets from the International Satellite Cloud Climatology Project‐FD and the new radiative‐flux‐analysis‐processed surface observations (RFA‐PSO). For downward shortwave (SW), diffuse (Dif), and direct (Dir) fluxes, matching cloud fraction (CF) reduces the flux difference between FD and RFA‐PSO by up to a factor of 2. Decreasing the aerosol optical depth values used in the FD calculations accounts for much of the remaining difference. For downward longwave (LW) flux, matching either surface air temperature or CF reduces the flux difference to nearly zero. For the total downward SW diurnal variations, there is excellent agreement for both clear and cloudy sky, but less good agreement for the Dif and Dir components. The latter agree much better for clear sky when the FD aerosol optical depth is reduced and for cloudy sky when matching CF and cloud optical depth jointly. For LW diurnal variations, the agreement is best for clear sky, but FD has a larger amplitude by 3–7 W/m 2 for cloudy sky because of differing sensitivities to cirrus and low clouds in the two datasets. These results confirm that the source of the FD surface flux uncertainty of ∼10–15 W/m 2 is the input quantities, not the radiative transfer model. An important limitation of the RFA‐PSO cloud parameters (not the fluxes) is the inhomogeneous diurnal sampling and the retrieval difficulties with broken clouds (SW) and cirrus clouds (LW).

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