Imke Durre

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...

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.

TL;DR: The Integrated Global Radiosonde Archive (IGRA) as discussed by the authors is a dataset of radiosonde and balloon observations from the National Climatic Data Center (NCDC) that includes pressure, temperature, geopotential height, dewpoint depression, wind direction and wind speed at standard, surface, tropopause, and significant levels.

TL;DR: In this paper, the authors describe an improved version of the climate division dataset for the conterminous United States (i.e., version 2), which includes additional station networks, quality assurance reviews and temperature bias adjustments.