#------------------------------------------------- WARNING -------------------------------------------- # # The data you have obtained from this automated Natural Resources Conservation Service # database are subject to revision regardless of indicated Quality Assurance level. # Data are released on condition that neither the NRCS nor the United States Government # may be held liable for any damages resulting from its use. # # SNOTEL air temperature data contains a known bias. This bias is rooted in the sensor # conversion equation and varies through the output range. Solutions are in development. # For more information go to Air Temperature Bias Correction. # # Help and Tutorials: https://www.nrcs.usda.gov/sites/default/files/2023-03/Report%20Generator%20Help%20Guide.pdf # Air Temperature Bias Correction: https://www.nrcs.usda.gov/wps/portal/wcc/home/snowClimateMonitoring/temperature/temperatureBiasCorrection/ # # Support Contact: usdafpacbc@servicenowservices.com # #------------------------------------------------------------------------------------------------------ # # Reporting Frequency: Semimonthly # Date Range: Period of Record # Report Instantaneous Data As: Start of Semi-Month # # Data for the following site(s) are contained in this file: # # SNOW COURSE/AERIAL MARKER TUM: Tuolumne Meadows, CA # # Data items provided in this file: # # Element Name Value Type Function Type Function Duration Base Data Measurement Units Sensor Depth Element Code Description # Snow Depth Collection date None Instantaneous - Start of Semi-Month N/A Inches N/A SNWD Total snow depth # Snow Depth Value None Instantaneous - Start of Semi-Month N/A Inches N/A SNWD Total snow depth # Snow Water Equivalent Value None Instantaneous - Start of Semi-Month N/A Inches N/A WTEQ Depth of water that would theoretically result if the entire snowpack were melted instantaneously # # Quality Control flags included: # # Flag Name Description # V Valid Validated Data # N No Profile No profile for automated validation # E Edit Edit, minor adjustment for sensor noise # B Back Estimate Regression-based estimate for homogenizing collocated Snow Course and Snow Pillow data sets # K Estimate Estimate # X External Estimate External estimate # S Suspect Suspect data # # Quality Assurance flags included: # # Flag Name Description # U Unknown Unknown # R Raw No Human Review # P Provisional Preliminary Human Review # A Approved Processing and Final Review Completed # #------------------------------------------------------------------------------------------------------ # # Tuolumne Meadows (TUM) # California SNOW COURSE/AERIAL MARKER Site - 8600 ft # Reporting Frequency: Semimonthly; Date Range: Period of Record # # As of: Dec 10, 2024, 3:52:04 PM GMT-08:00 # Water Year,Jan 1st Half,Jan 1st Half,Jan 1st Half,Feb 1st Half,Feb 1st Half,Feb 1st Half,Mar 1st Half,Mar 1st Half,Mar 1st Half,Apr 1st Half,Apr 1st Half,Apr 1st Half,May 1st Half,May 1st Half,May 1st Half ,Snow Depth Collection Date Start of Month Values,Snow Depth (in) Start of Month Values,Snow Water Equivalent (in) Start of Month Values,Snow Depth Collection Date Start of Month Values,Snow Depth (in) Start of Month Values,Snow Water Equivalent (in) Start of Month Values,Snow Depth Collection Date Start of Month Values,Snow Depth (in) Start of Month Values,Snow Water Equivalent (in) Start of Month Values,Snow Depth Collection Date Start of Month Values,Snow Depth (in) Start of Month Values,Snow Water Equivalent (in) Start of Month Values,Snow Depth Collection Date Start of Month Values,Snow Depth (in) Start of Month Values,Snow Water Equivalent (in) Start of Month Values 1930,,,,,,12.8,,,15.2,,,14.0,,,7.6 1931,,,,,,6.9,,,8.4,,,7.4,,,0.0 1932,,,5.2,,,21.1,,,30.6,,,35.9,,,27.7 1933,,,,,,16.3,,,18.1,,,20.7,,, 1934,,,,,,8.8,,,13.8,,,1.0,,, 1935,,,,,,,,,19.0,,,22.6,,,24.4 1936,,,,,,0.0,,,24.3,,,30.0,,,22.2 1937,,,,,,,,,29.3,,,34.0,,, 1938,,,,,,,,,,,,45.3,,, 1939,,,,,,,,,,,,10.2,,, 1940,,,,,,,,,,,,28.0,,, 1941,,,,,,,,,,,,31.8,,, 1942,,,,,,,,,,,,24.1,,, 1943,,,,,,,,,,,,41.9,,, 1944,,,,,,,,,,,,19.1,,, 1945,,,,,,,,,,,,27.9,,, 1946,,,,,,,,,,,,24.5,,, 1947,,,,,,,,,,,,16.7,,, 1948,,,,,,,,,,,,11.6,,, 1949,,,,,,,,,,,,16.9,,, 1950,,,,,,,,,,,,26.1,,, 1951,,,,,,,,,,,,13.9,,, 1952,,,,,,,,,,,,43.2,,, 1953,,,,,,,,,,,,16.7,,, 1954,,,,,,,,,,,,18.6,,, 1955,,,,,,,,,,,,15.3,,, 1956,,,,,,35.8,,,,,,32.7,,, 1957,,,,,,6.0,,,,,,14.2,,, 1958,,,,,,8.5,,,,,,24.9,,, 1959,,,,,,7.1,,,,,,13.9,,, 1960,,,,,,6.2,,,,,,17.4,,, 1961,,,,,,5.8,,,,,,12.6,,, 1962,,,,,,9.4,,,,,,29.0,,, 1963,,,,,,,,,10.5,,,7.8,,, 1964,,,,,,8.7,,,,,,11.4,,, 1965,,,,,,20.9,,,,,,23.6,,, 1966,,,,,,19.0,,,,,,21.0,,, 1967,,,,,,23.6,,,,,,28.9,,,43.4 1968,,,,,,9.9,,,,,,14.0,,, 1969,,,,,,36.9,,,,,,50.6,,,45.6 1970,,,,,,13.1,,,,,,14.2,,, 1971,,,,,,17.0,,,,,,21.4,,, 1972,,,,,,16.8,,,,,,11.6,,, 1973,,,,,,17.1,,,,,,28.7,,,20.2 1974,,,,,,17.4,,,,,,21.7,,, 1975,,,,,,7.3,,,14.9,,,24.2,,,28.9 1976,,,,,,0.0,,,3.1,,,4.8,,,0.0 1977,,,,,,2.6,,,3.9,,,3.8,,, 1978,,,,,,23.6,,,34.2,,,38.1,,,39.4 1979,,,,,,11.8,,,22.0,,,24.4,,,19.3 1980,,,,,,18.0,,,29.4,,,34.7,,,29.7 1981,,,,,,3.4,,,12.5,,,15.7,,, 1982,,,,,,23.5,,,27.0,,,31.4,,,34.8 1983,,,,,,31.2,,,44.6,,,50.8,,,52.3 1984,,,,,,21.0,,,25.6,,,23.5,,,16.9 1985,,,,,,13.0,,,15.0,,,17.5,,,10.2 1986,,,,,,12.5,,,36.7,,,37.1,,,27.8 1987,,,,,,3.2,,,8.8,,,11.0,,,0.0 1988,,,,,,12.1,,,11.9,,,7.7,,,0.0 1989,,,,,,12.3,,,15.4,,,16.2,,,2.8 1990,,,,,,7.1,,,11.8,,,12.0,,,0.0 1991,,,,,,2.2,,,1.2,,,14.6,,,10.3 1992,,,,,,5.2,,,10.0,,,11.4,,,0.0 1993,,,,,,22.6,,,33.3,,,38.6,,,32.2 1994,,,,,,4.8,,,11.8,,,10.9,,,0.0 1995,,,,,,27.8,,,26.4,,,44.4,,,42.6 1996,,,,,,15.5,,,23.9,,,28.8,,,26.0 1997,,,,,,35.7,,,37.8,,,32.2,,,19.2 1998,,,,,,15.1,,,34.8,,,37.6,,,38.0 1999,,,,,,15.1,,,25.8,,,24.7,,,24.6 2000,,,,,,9.5,,,19.9,,,23.3,,,6.6 2001,,,,,,6.4,,,15.4,,,17.0,,,11.0 2002,,,,,,17.4,,,19.3,,,21.2,,,7.3 2003,,,,,,15.3,,,18.0,,,18.5,,,20.2 2004,,,,,,17.4,,,24.9,,,19.4,,,1.4 2005,,,,,,24.9,,,29.2,,,34.2,,,31.7 2006,,,,,,24.0,,,25.3,,,32.7,,,40.2 2007,,,,,,5.2,,,12.0,,,8.4,,,0.0 2008,,,,,,14.0,,,25.9,,,22.0,,,8.9 2009,,,,,,9.1,,,16.3,,,21.1,,,11.9 2010,,,,,,15.0,,,20.0,,,23.1,,,25.3 2011,,,,,,21.3,,,28.0,,,39.0,,,35.4 2012,,,,,,5.3,,,6.5,,,8.4,,,0.1 2013,,,,,,17.0,,,17.0,,,14.6,,,0.0 2014,,,,,,1.5,,,6.0,,,6.0,,,0.0 2015,,,,,,2.5,,,1.0,,,0.0,,,0.0 2016,,,,,,19.0,,,19.5,,,21.5,,,9.5 2017,,,,,,32.5,,,49.5,,,48.5,,,48.0 2018,,,,,,3.5,,,2.8,,,13.5,,,2.5 2019,,,,,,15.5,,,32.0,,,36.5,,,30.5 2020,,,,,,9.6,,,9.0,,,9.6,,,8.4 2021,,,,,,11.0,,,12.5,,,15.0,,,1.5 2022,,,,,,15.0,,,13.5,,,11.0,,,1.5 2023,,,,,,33.5,,,43.5,,,62.5,,,52.5 2024,,,,,,5.0,,,12.4,,,19.9,,,10.0 2025,,,,,,,,,,,,,,,