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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...

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Citations
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Journal ArticleDOI

Present and future Köppen-Geiger climate classification maps at 1-km resolution

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

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

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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