A python notebook to merge data from chamber systems, with gas concentrations of H2O, CO2, COS and CO measured using the Aerodyne Mini-TILDAS OCS/COS Monitor QCL Laser (https://www.aerodyne.com/wp-content/uploads/2021/11/OCS_COS.pdf). Data is gathered as follows:
- Gas concentrations: Aerodyne's built-in computer
- Ambient concentration of CO2 and H2O: LI-COR LI-7000 infrared gas analyser (IRGA) which is part of a parallel system
- Photosynthetically active radiation, i.e. PAR: 1st Campbell CR1000 datalogger and
- Temperatures (air and leaf surface): 2nd Campbell CR1000 datalogger
- Thermocouples (e.g. air or surface): 3rd Campbell CR1000 datalogger
There are 2 notebooks in this project, and the data is organised as follows:
- Raw data is in folder 01_rawdata, and logfiles are in 00_additional_data
- 01_convert_files_v0.1.ipynb: This creates daily files in a standard format in the folder 02_preprocessed_data
- 02_laser_v0.1.ipynb: This merges all data, removes bad data using the logbooks and calculates fluxes in the folder 03_processed_data. Data in this folder is organised as follows:
- raw_qc: Data at the raw temporal resolution, merged with the unnecessary parts removed (i.e. stabilisation time of the laser)
- 1min: Of each measurement, the last 30-60 measurements in 1s intervals are taken. This folder contains averaged data of each measurement, with calculated fluxes.
- stats_calibration: Statistics of the linear correlation done in daily steps. Each has the slope, intercept, R2, p-value, standard error and sample size (n).
The following python packages are required to read the FLIR files:
- Pandas
- Numpy
- Scipy
Jonathan D. Muller. (2022). Laser-chamber-fluxes: Tool to calculate gas fluxes from chambers concentration measurements. DOI: 10.5281/zenodo.4117838 (URL: https://doi.org/10.5281/zenodo.4117838), Python notebook
This software is distributed under the GNU GPL version 3