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

. Peter Blanken at CU provided the flux tower at site 10, and Richard Cuenca and Yutaka Hagimoto helped in the setup and quality control of the soil profile measurements at sites 1–3. An informal review by Michael Ek (NOAA/NCEP), and reviews by Evgeni Fedorovich, Tom Horst, and an anonymous reviewer significantly helped us improve the paper and put it into context. In particular, a question by Horst led to the discovery of the half-hour time shift in the input radiation data. The NCAR portion of this

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John R. Mecikalski, Kristopher M. Bedka, Simon J. Paech, and Leslie A. Litten

described below. Once a cumulus cloud pattern is recognized, two radar views taken 15 min apart are used to calculate movement of precipitating cloud features; this is done as a 10 × 10 pixel region is searched, and if more than one-fourth (i.e., 25 pixels) have >0 dB Z , then a 30-min future radar image is processed. As a level of quality control, the future radar pixel location is cross referenced with the satellite-derived “convective cloud mask” ( MB06 ) computed at this future time to ensure that

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

the data. In this part, we focus on the impact of surface heterogeneity on horizontal variability in the CBL along a 46-km flight track (the “eastern track,” in Fig. 1 ) in southeastern Kansas. In LeMone et al. (2010 , hereafter Part II) , we focus on ∼1–100-km CBL structure in the region around the eastern track. The data were collected using aircraft, surface flux towers, and radar wind profilers, during May–June 2002, as part of the International H 2 O Project (IHOP_2002; Weckwerth et al

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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

(ISS) system at Homestead ( Cohn et al. 2001 ) provided detailed soundings every three hours. These data were used to assess the environment associated with the bores and to provide needed measurements to calculate bore properties from theory. The data were subjected to low-pass smoothing and automated quality control to remove suspect data points that did not pass tests for internal and vertical consistency, gross limit checks, and rate-of-change limits for temperature, pressure, and ascension

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

States. Mon. Wea. Rev. , 93 , 113 – 122 . Drusch , M. , and P. Viterbo , 2007 : Assimilation of screen-level variables in ECMWF’s Integrated Forecast System: A study on the impact on the forecast quality and analyzed soil moisture. Mon. Wea. Rev. , 135 , 300 – 314 . Findell , K. L. , and E. A. B. Eltahir , 2003 : Atmospheric controls on soil moisture–boundary layer interactions. Part I: Framework development. J. Hydrometeor. , 4 , 552 – 569 . Gao , H. , E. F. Wood , T. J

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