Dataset Identification:
Resource Abstract:
- description: **Please note, this dataset has been superseded by a newer version (see below). Users should not use this version
except in rare cases (e.g., when reproducing previous studies that used this version).** The Global Historical Climatology
Network - Daily (GHCN-Daily) dataset addresses the need for historical daily records over global land areas. Like its monthly
counterpart (GHCN-Monthly), GHCN-Daily is a composite of climate records from numerous sources that were merged and then subjected
to a suite of quality assurance reviews. The meteorological elements measured for the data set include, but are not limited
to, daily maximum and minimum temperature, temperature at the time of observation, precipitation (i.e., rainfall and snow
water equivalent), snowfall and snow depth. GHCN-Daily serves as the official archive for daily data from the Global Climate
Observing System (GCOS) Surface Network (GSN) and is particularly well suited for monitoring and assessment activities related
to the frequency and magnitude of extremes. Sources for the GHCN-Daily data set include, but are not limited, to U.S. Cooperative
Summary of the Day, U.S. Fort data, U.S. Climate Reference Network, Community Collaborative Rain, Hail and Snow Network, and
numerous international sources. The dataset contains measurements from over 75,000 stations worldwide,about two thirds of
which are for precipitation measurement only. Approximately 8500 are regularly updated with observations from within the last
month. While most of these sites report precipitation, daily maximum and minimum temperatures are available at more than 25,000
of them, and over 24,000 contain records of snowfall and/or snow depth. The process of integrating data from multiple sources
into the GHCN-Daily dataset takes place in three steps: screening the source data for stations whose identity is unknown or
questionable; classifying each station in a source dataset either as one that is already represented in GHCN-Daily or as a
new site; and mingling the data from the different sources. The first two of these steps are performed whenever a new source
dataset or additional stations become available, while the actual mingling of data is part of the automated processing that
creates GHCN-Daily on a regular basis. GHCN-Daily data are subject to a suite of quality assurance checks. The checks consist
of several types of carefully evaluated tests that detect duplicated data, climatological outliers, and various inconsistencies
(internal, temporal, and spatial). Manual review of random samples of flagged values was used to set the threshold for each
procedure such that the tests false-positive rate is minimized. In addition, the tests are performed in a deliberate sequence
in an effort to enhance the performance of the later checks by detecting errors with the checks applied earlier in the sequence.;
abstract: **Please note, this dataset has been superseded by a newer version (see below). Users should not use this version
except in rare cases (e.g., when reproducing previous studies that used this version).** The Global Historical Climatology
Network - Daily (GHCN-Daily) dataset addresses the need for historical daily records over global land areas. Like its monthly
counterpart (GHCN-Monthly), GHCN-Daily is a composite of climate records from numerous sources that were merged and then subjected
to a suite of quality assurance reviews. The meteorological elements measured for the data set include, but are not limited
to, daily maximum and minimum temperature, temperature at the time of observation, precipitation (i.e., rainfall and snow
water equivalent), snowfall and snow depth. GHCN-Daily serves as the official archive for daily data from the Global Climate
Observing System (GCOS) Surface Network (GSN) and is particularly well suited for monitoring and assessment activities related
to the frequency and magnitude of extremes. Sources for the GHCN-Daily data set include, but are not limited, to U.S. Cooperative
Summary of the Day, U.S. Fort data, U.S. Climate Reference Network, Community Collaborative Rain, Hail and Snow Network, and
numerous international sources. The dataset contains measurements from over 75,000 stations worldwide,about two thirds of
which are for precipitation measurement only. Approximately 8500 are regularly updated with observations from within the last
month. While most of these sites report precipitation, daily maximum and minimum temperatures are available at more than 25,000
of them, and over 24,000 contain records of snowfall and/or snow depth. The process of integrating data from multiple sources
into the GHCN-Daily dataset takes place in three steps: screening the source data for stations whose identity is unknown or
questionable; classifying each station in a source dataset either as one that is already represented in GHCN-Daily or as a
new site; and mingling the data from the different sources. The first two of these steps are performed whenever a new source
dataset or additional stations become available, while the actual mingling of data is part of the automated processing that
creates GHCN-Daily on a regular basis. GHCN-Daily data are subject to a suite of quality assurance checks. The checks consist
of several types of carefully evaluated tests that detect duplicated data, climatological outliers, and various inconsistencies
(internal, temporal, and spatial). Manual review of random samples of flagged values was used to set the threshold for each
procedure such that the tests false-positive rate is minimized. In addition, the tests are performed in a deliberate sequence
in an effort to enhance the performance of the later checks by detecting errors with the checks applied earlier in the sequence.
Citation
- Title Global Historical Climatology Network - Daily (GHCN-Daily), Version 2 (Version Superseded).
-
- creation Date
2018-02-07T23:50:31.505490
Resource language:
Processing environment:
Back to top:
Metadata data stamp:
2018-08-06T19:40:36Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T19:40:36Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
-
- Contact information
-
-
- Address
-
- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:6f9dfc09-91cd-4404-9355-8605c647c19b
Metadata record format is ISO19139 XML (MD_Metadata)