An Overview of the Global Historical Climatology Network-Daily Database

An Overview of the Global Historical Climatology Network-Daily Database

JULY 2012 | MATTHEW J. MENNE, IMKE DURRE, RUSSELL S. VOSE, BYRON E. GLEASON, AND TAMARA G. HOUSTON
The Global Historical Climatology Network-Daily (GHCN-Daily) is a comprehensive database designed to meet the need for daily climate data over global land areas. It contains records from over 80,000 stations in 180 countries and territories, with a focus on temperature, precipitation, snowfall, and snow depth. The dataset is processed to produce an official archive for U.S. daily data and is regularly updated and reprocessed to ensure quality and consistency. GHCN-Daily is the most extensive collection of in situ land surface daily climate summaries available, with over 2 billion values for all elements. The dataset is used for various climate applications, including the analysis of climate trends and variability, and is freely accessible to the public. The creation and maintenance of GHCN-Daily involve a multi-tiered quality assurance approach, including routine automated checks and occasional manual reviews to ensure data integrity and homogeneity.The Global Historical Climatology Network-Daily (GHCN-Daily) is a comprehensive database designed to meet the need for daily climate data over global land areas. It contains records from over 80,000 stations in 180 countries and territories, with a focus on temperature, precipitation, snowfall, and snow depth. The dataset is processed to produce an official archive for U.S. daily data and is regularly updated and reprocessed to ensure quality and consistency. GHCN-Daily is the most extensive collection of in situ land surface daily climate summaries available, with over 2 billion values for all elements. The dataset is used for various climate applications, including the analysis of climate trends and variability, and is freely accessible to the public. The creation and maintenance of GHCN-Daily involve a multi-tiered quality assurance approach, including routine automated checks and occasional manual reviews to ensure data integrity and homogeneity.
Reach us at info@study.space
[slides and audio] An Overview of the Global Historical Climatology Network-Daily Database