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...read more
Citations
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Journal ArticleDOI
Present and future Köppen-Geiger climate classification maps at 1-km resolution
Hylke E. Beck,Niklaus E. Zimmermann,Tim R. McVicar,Tim R. McVicar,Noemi Vergopolan,Alexis Berg,Eric F. Wood +6 more
TL;DR: New global maps of the Köppen-Geiger climate classification at an unprecedented 1-km resolution for the present-day and for projected future conditions under climate change are presented, providing valuable indications of the reliability of the classifications.
Journal ArticleDOI
GPCC's new land surface precipitation climatology based on quality-controlled in situ data and its role in quantifying the global water cycle
TL;DR: In this article, the Global Precipitation Climatology Centre (GPCC) at Deutscher Wetterdienst has calculated a precipitation climatology for the global land areas for the target period 1951-2000 by objective analysis of climatological normals of about 67,200 rain gauge stations from its data base.
Journal ArticleDOI
TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015.
TL;DR: TerraClimate datasets showed noted improvement in overall mean absolute error and increased spatial realism relative to coarser resolution gridded datasets, as well as annual runoff from streamflow gauges.
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
Global increasing trends in annual maximum daily precipitation
TL;DR: In this paper, the authors investigated the presence of trends in annual maximum daily precipitation time series obtained from a global dataset of 8326 high-quality land-based observing stations with more than 30 years of record over the period from 1900 to 2009.
References
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Journal ArticleDOI
Climate change 2007: the physical science basis
TL;DR: In this article, Chen et al. present a survey of the state of the art in the field of computer vision and artificial intelligence, including a discussion of the role of the human brain in computer vision.
Journal ArticleDOI
Evaluating the use of “goodness-of-fit” Measures in hydrologic and hydroclimatic model validation
TL;DR: In this paper, the goodness-of-fit or relative error measures (including the coefficient of efficiency and the index of agreement) that overcome many of the limitations of correlation-based measures are discussed.
Journal ArticleDOI
Global observed changes in daily climate extremes of temperature and precipitation
Lisa V. Alexander,Lisa V. Alexander,Lisa V. Alexander,Xuebin Zhang,Thomas C. Peterson,John Caesar,Byron E. Gleason,A. M. G. Klein Tank,M. R. Haylock,Dean Collins,Blair Trewin,Fatemeh Rahimzadeh,A. Tagipour,K. Rupa Kumar,J. V. Revadekar,G M Griffiths,Lucie A. Vincent,David B. Stephenson,J. Burn,Enric Aguilar,Manola Brunet,Michael A. Taylor,Mark New,Panmao Zhai,Matilde Rusticucci,J. L. Vazquez-Aguirre +25 more
TL;DR: A suite of climate change indices derived from daily temperature and precipitation data, with a primary focus on extreme events, were computed and analyzed as discussed by the authors, and the results showed widespread significant changes in temperature extremes associated with warming.
Book Chapter
Observations: Surface and Atmospheric Climate Change
Journal ArticleDOI
Human contribution to more-intense precipitation extremes
TL;DR: It is shown that human-induced increases in greenhouse gases have contributed to the observed intensification of heavy precipitation events found over approximately two-thirds of data-covered parts of Northern Hemisphere land areas.
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