When the data is read in it should be filtered with quality flags. Appropriate first method introduced in [1]. Four class system to flag good data, data with linear trends, data with dampened micro-variance, and data with both error types. Should be able to assign flags at the window level when sub-setting is done.
[1] Pielmeier, C., & Marshall, H. P. (2009). Rutschblock-scale snowpack stability derived from multiple quality-controlled SnowMicroPen measurements. Cold Regions Science and Technology, 59(2), 178-184.
When the data is read in it should be filtered with quality flags. Appropriate first method introduced in [1]. Four class system to flag good data, data with linear trends, data with dampened micro-variance, and data with both error types. Should be able to assign flags at the window level when sub-setting is done.
[1] Pielmeier, C., & Marshall, H. P. (2009). Rutschblock-scale snowpack stability derived from multiple quality-controlled SnowMicroPen measurements. Cold Regions Science and Technology, 59(2), 178-184.