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MADIS Snow Data

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Summary

This data set contains snow observations (snow depth, snowfall, and snow water equivalent) from several networks (CA-Hydro, CoCoRaHS, US Bureau of Reclamation, Idaho Transportation Department, SNOTEL, CNRA, DRI, UUNET, BCHYDRO, RAWS and several avalanche centers) with over 6000 locations throughout the United States and Canada. The temporal resolution varies from 6 hourly to daily depending on the station. These data were quality controlled and provided by NOAA MADIS.

Data access

ORDER data to made available for download

Additional information

Identifier	DOI: https://doi.org/10.26023/4T0J-BGTY-JF0N
Data Quality	final
Versions	1.0 (2015-04-17)
Subscribe	Subscribe to receive email when new or updated data is available.
Related projects	SNOWIE: Seeded and Natural Orographic Wintertime clouds - the Idaho Experiment Operational: Operational Datasets ICICLE: In-Cloud Icing and Large-Drop Experiment CFACT: Cold Fog Amongst Complex Terrain MATERHORN-X: Mountain Terrain Atmospheric Modeling and Observations WINTRE-MIX: Winter Precipitation Type Research Multi-scale Experiment S2noCliME: Snow Sensitivity to Clouds in a Mountain Environment
Spatial Type	point
Frequency	criteria
Progress	onGoing
Language	English
Categories	Surface
Platforms	Weather Stations
Instruments	Snow Measuring Rod
GCMD Science Keywords	SNOW SNOW DEPTH SNOW WATER EQUIVALENT SNOW WATER EQUIVALENT Expand keywords
Related links	info: MADIS website

Temporal coverage

Begin datetime	2015-02-04 00:00:00
End datetime	9999-12-31 23:59:59

Spatial coverage

Map data from IBCSO, IBCAO, and Global Topography.

Maximum (North) Latitude: 72.00, Minimum (South) Latitude: 25.00
Minimum (West) Longitude: -180.00, Maximum (East) Longitude: -45.00

Primary point of contact information

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

Additional contact information

author: NOAA/Earth System Research Laboratory (ESRL)

Citation

NOAA/Earth System Research Laboratory (ESRL). 2015. MADIS Snow Data. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/4T0J-BGTY-JF0N. Accessed 18 Jan 2025.

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