Grand Mesa, Colorado; CUAHSI Pathfinder 2020 resources


Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Resource type: Composite Resource
Storage: The size of this resource is 18.6 GB
Created: May 10, 2022 at 10:53 p.m.
Last updated: May 13, 2022 at 3:52 p.m.
Citation: See how to cite this resource
Sharing Status: Public
Views: 51
Downloads: 5
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

Abstract

The transition of a cold winter snowpack to one that is ripe and contributing to runoff is a complex set of processes involving boundary and internal energy fluxes that is highly variable in space and time. This transition is important to gauge, however, for resilient water resources management.

Because of the high permittivity of water compared to that of ice or air, C-band (about 5cm wavelength) synthetic aperture radar (SAR) is able to reliably detect meltwater present in the snowpack, which may provide spatially explicit information about areas of the snowpack that may be contributing to runoff. The European Space Agency’s Sentinel-1 C-band SAR satellite constellation offers consistent acquisition patterns that allow for a diurnal comparison of SAR-derived snow conditions. These may be used to identify snow surface melt/freeze cycles, which are a hallmark of snowpack warming and ripening, and could be used to validate energy balance or runoff forecasting models. However, sufficient field measurement during snowpack warming and ripening is necessary to interpret these diurnally differing SAR signals.

For my CUAHSI Pathfinder Fellowship, I was fortunate to spend six weeks living on Grand Mesa Colorado in winter/spring 2020, during which time I was able to dig over 50 snow pits to make measurements as the snowpack warmed and ripened. These measurements were made with the same protocols as the SnowEx Time Series and Intensive Observation Period campaigns on Grand Mesa, which allows for a seasonally cohesive data set. We integrate these field measurements with S1 SAR imagery as well as the physically-based SnowModel, in order to comprehensively identify snowpack phases and interpret S1 diurnal SAR snow conditions.

Here you will find processed S1 SAR imagery over Grand Mesa from July 2019 - June 2020. The Pathfinder field measurements have been incorporated with NASA SnowEx Time Series data, which will be published and publicly available through the National Snow and Ice Data Center (NSIDC) at https://nsidc.org/data/snowex.

Subject Keywords

Deleting all keywords will set the resource sharing status to private.

Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Grand Mesa, Colorado, USA
North Latitude
39.2482°
East Longitude
-107.4087°
South Latitude
38.8407°
West Longitude
-108.3563°

Temporal

Start Date:
End Date:

Content

Related Resources

This resource has a related resource in another format https://nsidc.org/data/snowex

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
CUAHSI Pathfinder Fellowship

How to Cite

Lund, J. (2022). Grand Mesa, Colorado; CUAHSI Pathfinder 2020 resources, HydroShare, http://www.hydroshare.org/resource/5434424c879347ef95fbb8433d0af6c7

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required