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Ivana Cerovečki, Lynne D. Talley, and Matthew R. Mazloff

; Gulev et al. 2007 ; M. Bourassa et al. 2011, personal communication). This situation decreases the quality of meteorological state variables estimated by numerical weather prediction (NWP) models and degrades the accuracy of bulk formulas, which are difficult to test and tune in a data-sparse region with such extreme conditions, high spatial variability, and large seasonal cycle. Accurate estimates of ocean surface flux components with high spatial and temporal resolution are necessary not only for

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Xiaolei Niu and Rachel T. Pinker

radiative fluxes. They have been evaluated against ARM-NSA observations of radiative fluxes and cloud products. The intercomparison of four reanalysis products [the National Centers for Environmental Prediction–National Center for Atmospheric Research (NCEP–NCAR) global reanalysis, the 40-yr European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-40), the NCEP–NCAR North American Regional Reanalysis (NARR), and the Japan Meteorological Agency and Central Research Institute of

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Xiangzhou Song and Lisan Yu

-E), Advanced Very High Resolution Radiometer (AVHRR), Special Sensor Microwave Imager (SSM/I), and Quick Scatterometer (QuikSCAT)] and the surface meteorology from reanalysis/forecast models [e.g., National Centers for Environment Prediction (NCEP), the 40-yr European Centre for Medium-range Weather Forecasting (ECMWF) Re-Analysis (ERA-40), and ERA-Interim ( Yu and Weller 2007 ; Yu et al. 2008 )]. The objective analysis is used to obtain optimal estimates of flux-related surface meteorology, and the

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