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Patrik Benáček and Máté Mile

same radiance processing for ATOVS and IASI as ARPEGE. In the current configuration, radiance observations from ATOVS ( Gérard et al. 2003 ), IASI ( Guidard et al. 2011 ), and SEVIRI ( Montmerle et al. 2007 ) are employed with the same channel selection and data preprocessing (e.g., quality control, cloud detection, observation error variances) as described in the references with the following exceptions: For ATOVS, the land surface emissivity dynamical approach is activated ( Karbou et al. 2006

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Jenny V. Turton, Thomas Mölg, and Dirk Van As

located at 79.91°N, 24.08°W, 370 m MSL ( Fig. 1b ). Both AWS were erected on 19 July 2008 and remain operational to this day. Because of power-related issues, KPC_L data are missing between January 2010 and July 2012. The observed variables and locations of the weather stations are outlined in Table 1 , and mapped in Fig. 1 , respectively. See PROMICE documentation for information on processing and quality control of the data ( www.promice.org/PromiceDataPortal , last accessed on 20 March 2019

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Robert Wood, Kuan-Ting O, Christopher S. Bretherton, Johannes Mohrmann, Bruce. A. Albrecht, Paquita Zuidema, Virendra Ghate, Chris Schwartz, Ed Eloranta, Susanne Glienke, Raymond A. Shaw, Jacob Fugal, and Patrick Minnis

veil clouds is strongly contingent on their low droplet concentrations. Given the frequent occurrence of veil clouds, this implies that there may be a direct control of regional cloud albedo by precipitation through coalescence scavenging. c. On the radiative susceptibility of veil clouds CSET data show that many UCL clouds, despite being optically and geometrically thin, have radar echoes significantly higher than −30 dB Z such that they can be detected with the W-band radar on the G-V aircraft

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Johna E. Rudzin, Lynn K. Shay, and Benjamin Jaimes de la Cruz

atmospheric profiles of air temperature, wind speed, wind direction, and relative humidity ( Hock and Franklin 1999 ). Real-time data are postprocessed using NCAR’s Atmospheric Software Processing Environment (ASPEN) software, which quality controls each dropsonde sounding. Daily satellite-based blended level 4 SST analyses from the Jet Propulsion Laboratory PODAAC Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 MUR ( JPL MUR MEaSUREs Project 2010 ) are used within the air–sea flux

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Jothiram Vivekanandan, Virendra P. Ghate, Jorgen B. Jensen, Scott M. Ellis, and M. Christian Schwartz

. (2006) interarrival time–based shattered particle removal, and the Korolev (2007) size correction to out-of-focus particles. The electronics response time of this probe has been determined by Hayman et al. (2016) , hence the name Fast 2D-C, and sizing was verified by a spinning disk with particle images of a range of sizes. The quality-controlled DSD concentrations of a total of 93 bins [ n ( D )] from 30 bins of cloud probe data nominally between 1.0 and 50.0 µ m and 63 bins of drizzle probe

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Mampi Sarkar, Paquita Zuidema, Bruce Albrecht, Virendra Ghate, Jorgen Jensen, Johannes Mohrmann, and Robert Wood

support from NSF Grant AGS-1445832. VG would like to acknowledge National Science Foundation (NSF) Grant AGS-1445831 597 awarded to the University of Chicago and the U.S. Department of Energy’s (DOE) Atmospheric 598 System Research (ASR). NASA Langley provided the GOES-15 cloud-top temperature retrievals. The merged, quality-controlled radar/lidar 2Hz dataset placed on a uniform georeferenced grid is available at https://doi.org/10.5065/D63T9FM0 and their retrievals are available from https

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