Steve found an error in the NR01 coefficients that affect radiation measurements from SAVANT. As part of the process of correcting the measured values, we needed to determine the serial numbers for all NR01's deployed and track any swaps that may have been done in the field.
As it turns out, no NR01's were replaced during SAVANT, based on serial numbers reported in the raw data. The table below includes the serial numbers recorded in these data, which have also been added to the sensor list.
| Site | NR01 Serial # | Changes? | Requires Coeff. Correction? |
|---|---|---|---|
| Rel - corn | 24 | No | Yes |
| Rel - 20m | 26 | No | Yes |
| Uconv - grass | 25 | No | Yes |
| Lconv - soybeans | 29 | No | Yes |
| Lconv - 20m | 19 | No | Yes |
h2o and co2 have lots of spikes, presumably caused by dew. ldiag is not sufficient to remove these spikes. In our QC report, we suggested using the wetness sensor, but an additional problem is that there are biases on the order of 1 g/m3 that vary throughout the project.
For CHEESEHEAD, I wrote R code to generate QC files with biases by comparison to H2O. For SAVANT, we didn't have H2O at 6m (where we have h2o), but the gradients seem pretty small, so we can synthesize a 6m from the average of 1.5m and 20m values. Indeed, a median H2O from all the H2O sensors probably would work fine. My code went on to detect spikes as large differences (say 2 g/m3) between H2O and the bias-corrected h2o. It then also applied this spike flag to co2. This code is at:
/net/isf/isfs/projects/CHEESEHEAD/ISFS/R/ec150_qc.R