30 Day Daily SNOTEL Data Report (midnight values 00:00) - SWE, Snow Depth, Precipitation, Air Temperature

***Daily Data is quality controlled Monday - Friday during the business week. Daily data on weekends is unedited, but will be revised as necessary the following Monday.  

7 Day Hourly SNOTEL Data Report - SWE, Snow Depth, Precipitation, Air Temperature

***Hourly Data is provisional, unedited, and subject to revision.  

Graph comparing the current snow water equivalent (in inches) for an individual SNOTEL site with all other years from the historical record. Graphs also include statistical background data, such as the maximum, normal, and minimum water years, as well as shading based on the 10th, 30th, 50th, 70th, and 90th percentiles. The user can select and compare any year(s).

Graph showing the projected snow water equivalent (in inches) at an individual SNOTEL site for the remainder of the water year, for a range of possible outcomes. Graphs also include all other years from the historical record, plus statistical background data, such as the maximum, normal, and minimum water years, as well as shading based on the 10th, 30th, 50th, 70th, and 90th percentiles. The user can select and compare any year(s).

Graph comparing the current precipitation at a site with all other years from the historical record. Graphs also include statistical background data, such as the maximum, normal, and minimum water years, as well as shading based on the 10th, 30th, 50th, 70th, and 90th percentiles. The user can select and compare any year(s).

Graph comparing the average of current average daily temperature (in °F) of a site with all other years from the historical record. Graphs also include statistical background data, such as the maximum, normal, and minimum water years, as well as shading based on the 10th, 30th, 50th, 70th, and 90th percentiles. The user can select and compare any year(s).

Interim Issue Resolution: Air Temperature Data Bias

The extended range air temperature sensors used at SNOTEL sites in the continental U.S. calculate temperature from sensor output voltage using a linear least-squares regression algorithm. It has been determined that use of the linear least-squares regression algorithm has resulted in a data bias.

The Snow Survey and Water Supply Forecasting Program is actively working on a correction technique for this issue. 

More Information: Air Temperature Bias Correction Metadata and Resources