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Brian J. Carroll, Belay B. Demoz, David D. Turner, and Ruben Delgado

environment and instead examines moisture transport on a larger scale, incorporating measurements far upwind of the MCS, while still utilizing the full resolution of the lidar profiles to resolve submesoscale features. Comparing these fixed and mobile lidar observations to the Rapid Refresh (RAP) analysis model yields a more comprehensive exploration of model water vapor errors than exists in the literature. 2. Data and methods a. PECAN The observations used in this study came from the Plains Elevated

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J. C. Hubbert

PPI and RHI scans over the entire measurement period and this provides about 6-min temporal resolution for CPR. Under these conditions, data from PECAN can be accurately calibrated to account for the ambient temperature variations by using Eq. (10) for an estimate in Eq. (4) . The resulting estimates are plotted in Fig. 14 for 21 June to 16 July. In this way, can be calibrated even at night using the CP technique and the regression analysis of against antenna temperature. Note that

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Stacey M. Hitchcock, Russ S. Schumacher, Gregory R. Herman, Michael C. Coniglio, Matthew D. Parker, and Conrad L. Ziegler

mobile platforms. The work presented here focuses on documenting and analyzing the radiosonde observations collected in MCS environments from all platforms. For a more detailed description of PECAN goals, assets, and deployments see Geerts et al. (2017) . While some previous field experiments have observed nocturnal MCS environments, much of the prior analysis has focused on individual cases (e.g., Trier and Parsons 1993 ; Trier et al. 2011 ) or various types/regions of MCS environments without

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