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Jerald A. Brotzge, J. Wang, C. D. Thorncroft, E. Joseph, N. Bain, N. Bassill, N. Farruggio, J. M. Freedman, K. Hemker Jr., D. Johnston, E. Kane, S. McKim, S. D. Miller, J. R. Minder, P. Naple, S. Perez, James J. Schwab, M. J. Schwab, and J. Sicker

was installed near Schuylerville (SCHU; Fig. 1 ) in August of 2015, and the last station was installed near Stony Brook (STON; Fig. 1 ) in February of 2018. Each station collects averages of measurements every 5 min, and data are relayed to the University at Albany via real-time communications networks. All data are quality controlled, archived, and disseminated from the University at Albany. Fig . 1. A map of the 126 standard stations of the New York State Mesonet showing topography and county

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Conor McNicholas and Clifford F. Mass

and errors of representativeness. Madaus and Mass (2017) assimilated smartphone pressures from the PressureNet ( http://www.pressurenet.io/ ) and WeatherSignal ( https://www.facebook.com/Weathersignal ) mobile applications during a 72-h convectively active period over the northeastern United States. Validity, statistical, and spatial-consistency quality-control (QC) checks were used to improve data quality, with only one-third of smartphone pressures passing all QC checks. Overall, smartphone

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Ying-Chih Fang, Thomas J. Weingartner, Rachel A. Potter, Peter R. Winsor, and Hank Statscewich

limitations of the OI method. This study is an attempt to better quantify the limitations of the OI method that, when understood, enhance the ability to analyze HFR datasets. Using a series of simulations designed to assess the capabilities of the OI method, to diagnose parameter selections, and to provide insight into how to better interpret radar-estimated u , we find that the ratio of contributing r from each HFR site can serve as a proxy for the estimated data quality and can be used to optimize

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Yanqiu Zhu, Emily Liu, Rahul Mahajan, Catherine Thomas, David Groff, Paul Van Delst, Andrew Collard, Daryl Kleist, Russ Treadon, and John C. Derber

; Bauer et al. 2006c ; Ding et al. 2011 ; Groff et al. 2013 , 2014 ) and the forecast model, the work on all-sky microwave radiance assimilation in the GSI analysis system has progressed at NCEP over the past several years as it has on the 3D EnVar ( Wang et al. 2013 ; Kleist and Ide 2015a ) and 4D EnVar ( Wang and Lei 2014 ; Kleist and Ide 2015b ) GSI analysis systems. To incorporate the all-sky radiances, relaxations in the criteria for data thinning and quality control of radiance data have

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Zaizhong Ma, Eric S. Maddy, Banglin Zhang, Tong Zhu, and Sid Ahmed Boukabara

the optimization of the spatial and temporal data thinning, quality control, and observation error assignment. The AHI impact assessment has been performed with the NCEP R&D version of the hybrid 4DEnVar system. Several Himawar-8 AHI experiments have been carried out to investigate the relative humidity analysis and forecast impact of each of the following observations types from Himawari-8 AHI: clear-sky IR radiances from three water vapor channels and AMVs over ocean. Preliminary assessment

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Emanuele Organelli, Hervé Claustre, Annick Bricaud, Catherine Schmechtig, Antoine Poteau, Xiaogang Xing, Louis Prieur, Fabrizio D’Ortenzio, Giorgio Dall’Olmo, and Vincenzo Vellucci

other radiometric quantities are key environmental parameters for addressing the variability of biological processes and for defining the bio-optical status of open ocean upper water masses. Second, radiometric measurements are also a source of data for validating ocean color radiometry measurements and biogeochemical products from space ( Claustre et al. 2010a ). For a global ocean observation system ( Johnson et al. 2009 ), standardized data processing procedures and public availability of quality-controlled

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Verena Hormann, Luca R. Centurioni, and Gilles Reverdin

-S drifters in the SPURS region between August 2012 and April 2014, where color indicates quality-controlled salinity measurements; missing values are shown in black. (b) Drogue status of the salinity drifters as determined by a manual evaluation (i.e., visual inspection of the individual strain gauge data; cf. section 2 ). The presence of the drogue was detected with a strain gauge that measures the deformation of the drifter’s hull due to the force applied by the tether-drogue assembly. A drogue

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Sara Haines, Harvey Seim, and Mike Muglia

radar systems overlooking the GS, and in situ measurements used in the comparisons, are provided. Next, the basics of CODAR SeaSonde data processing are described. This provides context for the quality controlled methods based on using radial metric data (QCD) and helps explain how they were applied within the standard CODAR processing. Description and use of regression analysis and statistical difference plots known as Bland–Altman diagrams follow. Results of data processed using both the QCD and

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Kjersti Bruserud and Sverre Haver

northern North Sea (see Fig. 1 ) was initiated early 2011 and completed in late 2015, that is, a total duration of about 4.5 years. Simultaneous waves and current profiles were measured. Despite data quality control, the measured current speeds were found to contain more noise than expected, resulting in spikes in the data. Discrepancies between overlapping current speeds measured by two different current profilers were also observed. Fig . 1. Measurement locations in the northern North Sea. From a

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Joseph A. Grim, Jason C. Knievel, and Erik T. Crosman

creating the final WST dataset. a. Obtaining data and applying time-dependent land mask The MOD11A1 and MYD11A1 datasets are obtained from the National Aeronautics and Space Administration Land Processes Distributed Active Archive Center ( Wan 2008 ). Each MODIS file includes the following scientific datasets (SDSs): LST, sky cover, satellite viewing angle, quality control parameter, and channels 31 and 32 (10.780–11.280 and 11.770–12.270 μ m, respectively) emissivity. These fields, originally on a ~1

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