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Feng Xu and Alexander Ignatov

Administration (NASA)–University of Miami SST Team, in situ data provided by the National Centers for Environmental Prediction (NCEP) Global Telecommunication System (GTS) are employed for near–real time (NRT) Cal/Val applications. GTS data available from NCEP in NRT from January 1991 to present are not quality controlled (QC), and an efficient QC is needed before they can be used in satellite Cal/Val (e.g., Xu and Ignatov 2010 , and references therein). This need has long been recognized, and QC of in situ

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Daniel Vila, Ralph Ferraro, and Hilawe Semunegus

. 2003 ). The GPCC uses a method similar to SPHEREMAP ( Willmott et al. 1985 ) to interpolate the data to regular grids and to produce a 2.5° product. This product undergoes extensive quality control. The errors in the GPCC product vary as a function of terrain type and number of stations in the grid. Matchups between the SSM/I dual-satellite rainfall retrieval and GPCC monthly estimates were generated for the period January 1992–December 2007. In this case, the dual-satellite product has been used

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Andrea N. Grant, Stefan Brönnimann, Tracy Ewen, and Andrey Nagurny

back to 1948 but in a number of cases were forced to discard the pre-IGY data. Up to now, the pre-IGY data have never even been systematically compiled. The data are scattered among numerous archives, cataloged via multiple station identifier schemes, and have been subjected to different quality control and data culling procedures. It was our hypothesis that some of the discarded earlier data may be usable after quality assessment and correction; therefore, we attempted to compile a comprehensive

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Brian R. Nelson, D-J. Seo, and Dongsoo Kim

, Table 1 ). The goal of the pilot project is to demonstrate the improvement of experimental MPR products over the operational QPE products. The main sources of improvement include additional rain gauge data, systematic quality control (QC) of rain gauge data, correction of systematic biases in radar QPE, and parameter optimization for radar–rain gauge merging. In this paper, we describe the data and the reanalysis procedure used for the pilot project and summarize the results, including comparative

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Tse-Chun Chen and Eugenia Kalnay

implemented at least one of the approaches of FSO to compare the impact of different observing systems on modern DA systems (e.g., Zhu and Gelaro 2008 ; Cardinali 2009 ; Gelaro et al. 2010 ; Lorenc and Marriott 2014 ; Ota et al. 2013 ; Sommer and Weissmann 2014 ). Other studies have explored the applications of FSO impacts. It was shown in Lien et al. (2018) that the long-term-averaged EFSO impact provides detailed information for optimizing data selection and the design of quality control

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Jon K. Eischeid, C. Bruce Baker, Thomas R. Karl, and Henry F. Diaz

DECEMBER 1995 EISCHEID ET AL. 2787The Quality Control of Long-Term Climatological Data Using Objective Data Analysis JON K. EISCHEIDCooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, Colorado C. BRUCE BAKER AND THOMAS R. KARLNational Climatic Data Center, NOAA, Asheville, North Carolina HENRY F

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James C. Liljegren, Stephen Tschopp, Kevin Rogers, Fred Wasmer, Lucia Liljegren, and Michael Myirski

article 3 of the Chemical Weapons Convention, which provides that each state party must “assign the highest priority to ensuring the safety of people and to protecting the environment” during chemical weapons destruction. Finally, the data are used to provide heat index, wind chill, and lightning information to increase the safety of daily operations at the storage depots. This paper describes the quality control (QC) procedures developed by the CSEPP Meteorological Support Project at Argonne National

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Robert E. Barbré Jr.

thereof by the author, Jacobs, or the National Aeronautics and Space Administration. REFERENCES Carr, F. H. , Spencer P. L. , Doswell C. A. , and Powell J. D. , 1995 : A comparison of two objective analysis techniques for profiler time–height data . Mon. Wea. Rev. , 123 , 2165 – 2180 . Lambert, W. C. , Merceret F. J. , Taylor G. E. , and Ward J. G. , 2003 : Performance of five 915-MHz wind profilers and an associated automated quality control algorithm in an operational

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BoŻena Wojtasiewicz, Ian D. Walsh, David Antoine, Dirk Slawinski, and Nick J. Hardman-Mountford

measurements that are taken without operator control pose new challenges in terms of data quality control and management. Sensors’ characterizations are provided by manufacturers and can be complemented by CTD and bio-optical casts performed at the time of deployment. This results in a sparse set of control data relative to the total data stream. It is therefore necessary to assess the measurement uncertainty and to characterize all possible sources of errors, especially for measurements performed in open

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Patricia Altube, Joan Bech, Oriol Argemí, and Tomeu Rigo

1. Introduction The growing number of quantitative applications of weather radar observations has increased the demand for quality control and monitoring procedures during recent years. Improvements and new developments in techniques using radar data, such as quantitative precipitation estimation, very short-range precipitation forecasting (i.e., nowcasting), hydrological modeling, or data assimilation in NWP models, rely largely on the quality of the input radar data as discussed in Collier

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