Statistics – Computation
Scientific paper
Nov 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011georl..3821802y&link_type=abstract
Geophysical Research Letters, Volume 38, Issue 21, CiteID L21802
Statistics
Computation
Atmospheric Composition And Structure: Aerosols And Particles (0345, 4801, 4906), Computational Geophysics: Model Verification And Validation, Atmospheric Processes: Data Assimilation
Scientific paper
We developed a new ensemble-based data-assimilation system based on a global aerosol climate model and performed a 1-month assimilation experiment using satellite optical measurements from MODIS onboard TERRA and AQUA to estimate the direct radiative effect (DRE) of aerosols. Using the assimilated data field, monthly averaged optical thickness (AOT) was estimated to be 0.15 ± 0.030 (a 52.0% increase over a priori), and the root mean-square difference (RMSD) between modeled values and MODIS measurements was reduced by 28.4%. Independent validation using globally distributed AERONET measurements showed that the a posteriori data achieved better agreement with 82.5% of 80 AERONET sites. However, improvements in Ångström exponents were limited (50.0% of sites). Using the assimilated aerosol field, we modeled the aerosol DRE. A posteriori whole- and clear-sky DREs at the top of the atmosphere were estimated to be -1.1 ± 0.35 and -2.5 ± 0.49 W/m2, respectively, in May 2007 and were close to previously reported measurement-based estimates.
Takemura Toshihiko
Yumimoto Keiya
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