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Margaret A. LeMone, Mukul Tewari, Fei Chen, Joseph G. Alfieri, and Dev Niyogi

the approximately −1.6 slope with surface processes, dismissing the smaller-scale fluctuations as largely statistical noise. 2) HRLDAS: Why H and LE should be anticorrelated In the foregoing, we argued that the H and LE variation in Figs. 2 and 5 that correspond to surface processes should be anticorrelated. Here, we show why H and LE should also be anticorrelated in HRLDAS for the conditions (nearly uniform radiative forcing) represented on 29 May, with a negative Δ H /ΔLE slope. We

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Margaret A. LeMone, Fei Chen, Mukul Tewari, Jimy Dudhia, Bart Geerts, Qun Miao, Richard L. Coulter, and Robert L. Grossman

starting at 1200 UTC was conducted for the 4 days the aircraft flew ( Table 1 ), with the initial and boundary conditions from the National Centers for Environmental Prediction (NCEP) 6-hourly Eta Data Assimilation System (EDAS) on a 40-km grid. The physical parameterizations used include a bulk microphysics scheme based on Lin et al. (1983) , the Dudhia (1989) shortwave radiation scheme, the Rapid Radiative Transfer Model (RRTM) longwave parameterization scheme ( Mlawer et al. 1997 ), the

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S. B. Trier, F. Chen, K. W. Manning, M. A. LeMone, and C. A. Davis

point (at 25–30 m AGL) with ∼1-km spacing at the model top near 50 hPa. The PBL scheme ( Janjic 1990 , 1994 ) predicts turbulent kinetic energy and allows vertical mixing between individual layers within the PBL. Other physical parameterizations include a bulk microphysics scheme based on Lin et al. (1983) and the Rapid Radiative Transfer Model (RRTM) longwave ( Mlawer et al. 1997 ) and Dudhia (1989) shortwave radiation schemes. Our choice of domain size and grid spacing reflects a compromise

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F. Couvreux, F. Guichard, P. H. Austin, and F. Chen

the evolution of an observed BL with mesoscale variability using a collection of 1D models. The BL models are initialized with heterogeneous atmospheric fields provided by a mesoscale model and with surface fluxes calculated by a soil–vegetation–atmosphere transfer (SVAT) model. This framework allows separating the effect of heterogeneity of surface forcing and early-morning atmospheric conditions, permitting a direct comparison of their respective impacts on the development and maintenance of

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Steven E. Koch, Wayne Feltz, Frédéric Fabry, Mariusz Pagowski, Bart Geerts, Kristopher M. Bedka, David O. Miller, and James W. Wilson

. Randall , and J. VanAndel , 1995 : NCAR’s S-Pol: Portable polarimetric S-band radar. Preprints. Ninth Symp. on Meteorological Observations and Instrumentation, Charlotte, NC, Amer. Meteor. Soc., 408–410 . Manobianco , J. , and P. A. Nutter , 1999 : Evaluation of the 29-km Eta model. Part II: Subjective verification over Florida. Wea. Forecasting , 14 , 18 – 37 . Mlawer , E. J. , S. J. Taubman , P. D. Brown , M. J. Iacono , and S. A. Clough , 1997 : Radiative transfer

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