R
Russell S. Vose
Researcher at National Oceanic and Atmospheric Administration
Publications - 111
Citations - 20091
Russell S. Vose is an academic researcher from National Oceanic and Atmospheric Administration. The author has contributed to research in topics: Climate change & Sea surface temperature. The author has an hindex of 51, co-authored 107 publications receiving 16705 citations. Previous affiliations of Russell S. Vose include University of Virginia & Arizona State University.
Papers
More filters
Journal ArticleDOI
The Twentieth Century Reanalysis Project
Gilbert P. Compo,Gilbert P. Compo,Jeffrey S. Whitaker,Prashant D. Sardeshmukh,Prashant D. Sardeshmukh,N. Matsui,N. Matsui,Rob Allan,Xiaojun Yin,Byron E. Gleason,Russell S. Vose,Glenn Rutledge,P. Bessemoulin,Stefan Brönnimann,Stefan Brönnimann,Manola Brunet,Manola Brunet,R. Crouthamel,Andrea Grant,Pavel Ya. Groisman,Pavel Ya. Groisman,Philip Jones,Michael C. Kruk,Andries Kruger,Gareth J. Marshall,Maurizio Maugeri,H. Mok,Øyvind Nordli,Tom Ross,Ricardo M. Trigo,Xiaolan L. Wang,Scott D. Woodruff,Steven J. Worley +32 more
TL;DR: The Twentieth Century Reanalysis (20CR) dataset as discussed by the authors provides the first estimates of global tropospheric variability, and of the dataset's time-varying quality, from 1871 to the present at 6-hourly temporal and 2° spatial resolutions.
Journal ArticleDOI
Extended Reconstructed Sea Surface Temperature, Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons
Boyin Huang,Peter Thorne,Viva Banzon,Timothy P. Boyer,Gennady A. Chepurin,Gennady A. Chepurin,Jay H. Lawrimore,Matthew J. Menne,Thomas M. Smith,Thomas M. Smith,Russell S. Vose,Huai-Min Zhang +11 more
TL;DR: The most recent version of ICOADS (R3.0) has been updated and updated from version 4 to version 5 in this article, with more realistic spatiotemporal variations, better representation of high-latitude SSTs, and ship SST biases calculated relative to more accurate buoy measurements.
Journal ArticleDOI
An Overview of the Global Historical Climatology Network-Daily Database
Abstract: A database is described that has been designed to fulfill the need for daily climate data over global land areas. The dataset, known as Global Historical Climatology Network (GHCN)-Daily, was developed for a wide variety of potential applications, including climate analysis and monitoring studies that require data at a daily time resolution (e.g., assessments of the frequency of heavy rainfall, heat wave duration, etc.). The dataset contains records from over 80 000 stations in 180 countries and territories, and its processing system produces the official archive for U.S. daily data. Variables commonly include maximum and minimum temperature, total daily precipitation, snowfall, and snow depth; however, about two-thirds of the stations report precipitation only. Quality assurance checks are routinely applied to the full dataset, but the data are not homogenized to account for artifacts associated with the various eras in reporting practice at any particular station (i.e., for changes in systematic...
Journal ArticleDOI
Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: The HadEX2 dataset
Markus G. Donat,Lisa V. Alexander,H. Yang,Imke Durre,Russell S. Vose,Robert Dunn,Kate M. Willett,Enric Aguilar,Manola Brunet,John Caesar,Bruce Hewitson,Christopher Jack,A. M. G. Klein Tank,Andries Kruger,José A. Marengo,Thomas C. Peterson,Madeleine Renom,C. Oria Rojas,Matilde Rusticucci,J. Salinger,A. S. Elrayah,S. S. Sekele,Ashok K. Srivastava,Blair Trewin,C. Villarroel,Lucie A. Vincent,Panmao Zhai,Xuebin Zhang,S. Kitching,S. Kitching +29 more
TL;DR: In this paper, the authors presented the collation and analysis of the gridded land-based dataset of indices of temperature and precipitation extremes: HadEX2, which was calculated based on station data using a consistent approach recommended by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices.
Journal ArticleDOI
An Overview of the Global Historical Climatology Network Temperature Database
TL;DR: The Global Historical Climatology Network version 2 temperature database was released in May 1997 as discussed by the authors, which consists of monthly surface observations from ∼7000 stations from around the world and includes data for additional stations to improve regional-scale analyses.