[Reddyproc-users] Questions about REddyProc

[Mirco Migliavacca]

Dear Heather,

thanks for your email, beside the consideration of Thomas that are all correct, I would also point out that REddyProc is a software for the u* filtering, gap-filling, and partitioning of eddy covariance flux measurements.
Eddy Pro, the software from LiCor is a software designed for the computation and processing of “raw data” collected by eddy covariance systems (i.e. high frequency - 10-20 Hz data collected by ultrasonic anemometer and fast response gas analyzer). 
In this sense Eddy Pro and REddyProc are fully complementary as REddyProc needs 30 minutes flux measurements as data input data that are computed by software such as Eddy Pro (or equivalent).
The common processing chain for EC data is: 1) use a software for the calculation of fluxes from raw data (e.g. for example EddyPro, but also EddySoft, EddyRE and many others), 2) afterwards use a series of post processing tools according to the scientific needs. ReddyProc provides some tools for the step 2.
Best regards,
Mirco Migliavacca



On 07.10.2015, at 08:07, Thomas Wutzler <twutz at bgc-jena.mpg.de> wrote:

> Dear Heather Speckman,
> 
> What would you say are the advantages of using REddyProc over other
>> software like EddyPro?
> 
> In short: REddyProc is a collection of functions, and processing chain
> that we use in the FluxNet science community. We do not want to compete
> with commercial software.
> 
> Pro:
> - quite flexible (just functions to be called from your programs)
> - you can trace and debug what is going on,
> - possibility to modify features and to contribute your proposed changes
> or extensions to the community
> 
> Contra:
> - No commercial support. Most of the community are scientists who spent
> part of their time in developing the package.
> - Requires a little background/beforehand learning in using the R language.
> 
> Does REddyProc have a walkthrough example to
>> aide in learning it?
> After installing the package just type ?REddyProc at the R command
> prompt. That opens a html-based help in your R-Editor or the browser.
> You can navigate to an example where you can find a kind of walkthrough
> in several perspectives in different levels of detail.
> 
> 
> Best regards
> 
> Thomas Wutzler
> 
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