1We’re sick of how long it takes to match up time stamps, synchronize files from different software packages, and remove outliers from our eddy covariance data manually. We keep hearing that you are, too.
2And it's also frustrating to quality check data or exclude specific time periods. So if you go to your site for routine maintenance and don't stop the data logging, ideally you would be able to quickly remove that specific time period from the dataset.
3Besides that, footprint computations are difficult. Right now, we don't know of a way to easily create visualizations of a site’s footprint on a map.
4It would also be really nice if something could automatically retrieve meteorological data from nearby weather stations to merge and fill gaps for those variables.
We’re working on solutions for these issues, starting with the first two. Watch this video demo to see what the software can do right now.
- Import files (from EddyPro or SmartFlux) without writing a single line of code (skip to 0:17)
- Exclude specific days or even specific data points for QA/QC (skip to 3:49)
- Export the entire analysis to other file formats—including CSV, Excel, JSON, MATLAB, NETCDF—as well as a format compatible with the Max Planck Institute online gap-filling tool (skip to 5:28)
- See at a glance how much data was collected for each variable with this cool data coverage visualization (skip to 1:37)
- Use any variable to filter your fluxes by using dependencies in QA/QC. For example, if your anemometer's wind speed is not reporting correctly for some period of time, you can choose to filter out those specific instances of sensible heat from the dataset. (skip to 4:43)
- Combine different files into one continuous Timeline—no synchronization or additional formatting required (skip to 0:42)