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NAME: New Mexico State University Surface Data

Summary

This data set contains surface data from the Mesonet New Mexico State University surface meteorological network. There are a total of 129 Stations included in the dataset. The data are collected on a hourly basis. The stations are located throughout the state of New Mexico. This dataset contains the period from June 1 2004 to September 30 2004. This dataset has been archived by the National Center for Atmospheric Research/Earth Observing Laboratory (NCAR/EOL). This dataset is provided as is in its original format. NCAR/EOL conducted no processing or quality control on these data.

Data access

ORDER data to made available for download

Additional information

Identifier	DOI: https://doi.org/10.26023/WYXQ-HV0A-8408
Data Quality	final
Versions	1.0 (2008-05-29)
Subscribe	Subscribe to receive email when new or updated data is available.
Related projects	NAME: North American Monsoon Experiment
Spatial Type	point
Frequency	hourly
Language	English
Categories	Land Based Surface
Platforms	Mesoscale Meteorological Network - Mesonet Weather Stations
Instruments	Anemometers Automated Weather System Barometers Pyranometers Rain Gauges Thermometers Wind Vanes
GCMD Science Keywords	AIR TEMPERATURE PRECIPITATION AMOUNT RELATIVE HUMIDITY SOIL TEMPERATURE SOLAR RADIATION WIND DIRECTION WIND SPEED Expand keywords
Documentation	mesonet_NMSU.txt [10 KiB]
Related links	homepage: EOL NAME website info: NAME Data Policy info: NAME Missions

Temporal coverage

Begin datetime	2004-06-01 00:00:00
End datetime	2004-09-30 23:59:59

Spatial coverage

Map data from IBCSO, IBCAO, and Global Topography.

Maximum (North) Latitude: 36.58, Minimum (South) Latitude: 31.41
Minimum (West) Longitude: -108.55, Maximum (East) Longitude: -103.04

Primary point of contact information

Craig Meier <webmaster@weather.nmsu.edu>

Additional contact information

author: New Mexico State University

Citation

New Mexico State University. 2008. NAME: New Mexico State University Surface Data. Version 1.0. null. https://doi.org/10.26023/WYXQ-HV0A-8408. Accessed 08 Dec 2025.

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