GCIP/LSA-NW 99 Surface: COAGMET Hourly Surface Data in QC Format

Summary

The Colorado Agricultural Meteorological Network (COAGMET) Hourly Surface Data in QC Format is one of several surface datasets provided in the GEWEX Continental-Scale International Project (GCIP) Large Scale Area-North West (LSA-NW) Enhanced Annual Observing Period (EAOP) 1999. This dataset contains data for the GCIP LSA-NW EAOP-99 domain and time period. These data were not quality controlled by the University Corporation for Atmospheric Research Joint Office for Science Support (UCAR/JOSS).

Data access

• ORDER data for delivery by FTP

Additional information

Homepage	https://data.eol.ucar.edu/dataset/38.029
Metadata download	Text DataCite ISO/TC 211 Note that your browser may not display the above metadata links, but automatically save them as files in a folder such as "Downloads"
Related projects	GCIP/LSA-NW 99: GCIP Large Scale Area-North West EAOP-99
Spatial Type	point
Frequency	hourly
Language	English
Categories	Surface
Platforms	COAGMET Data Network
GCMD Science Keywords	AIR TEMPERATURE CLOUD CEILING DEW POINT TEMPERATURE PRECIPITATION AMOUNT SEA LEVEL PRESSURE SURFACE PRESSURE VISIBILITY WIND DIRECTION WIND SPEED Expand keywords
Documentation	ea99NW_COAGMETsfc.txt [10 KiB]

Temporal coverage

Begin datetime	1999-04-01 00:00:00
End datetime	2000-03-31 23:59:59

Spatial coverage

Map data from IBCSO, IBCAO, and Global Topography.

Maximum (North) Latitude: 51.00, Minimum (South) Latitude: 36.00
Minimum (West) Longitude: -115.00, Maximum (East) Longitude: -90.00

Primary point of contact information

EOL Data Support <eol-datahelp@ucar.edu>

Additional contact information

• originator: Canadian Climate Centre

Citation

Example citation following ESIP guidelines:

Canadian Climate Centre. 2002. GCIP/LSA-NW 99 Surface: COAGMET Hourly Surface Data in QC Format. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://data.eol.ucar.edu/dataset/38.029. Accessed 14 Oct 2019.

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This dataset does not have a DOI. If you plan to cite this dataset, please email us to request a DOI, which will improve the searchability and cross-referencing of the citation.