[Reddyproc-users] Daytime partitioning in R package?

[Thomas Wutzler]

Dear Marguerite,

Those columns are usually created by the gap-filling.
If the nighttime-Partitioning went well, they should have been there.

Have you gapfilled the NEE column for all uStar-Scenarios also before
the daytime partitioning?

EProc$sMDSGapFillUStarScens('NEE')

Maybe, you did specify different quantiles with argument probs in the
call to EProc$sEstimateUstarScenarios before?

You can look at which NEE columns are there by
names(EProc$sExportResults()
or
grep("NEE",names(EProc$sExportResults()), value = TRUE)

Hope, this helps.
Yours
Thomas




On 29.08.19 01:02, Mauritz-Tozer, Marguerite E wrote:
> Hi Reddyproc users, 
> 
> I am attempting to implement day and night-time partitioning in
> REddyproc in R. 
> 
> I have no trouble with EProc$sMRFluxPartitionUStarScens(). 
> 
> When I implement EProc$sGLFluxPartitionUStarScens(), I get only the
> _uStar estimate for DT without the variable Ustar thresholds. Yet, in
> night-time partitioning I get estimates from various Ustar thresholds.
> The error I am getting makes me think that I am missing some
> intermediate steps that I need to complete before the day-time
> partition. It seems ReddyProc is looking for a Ustar 2.5 precentile?
> 
> I get the following error: 
> Error in fCheckColNames(ds, c(NEEVar, QFNEEVar, TempVar, QFTempVar,
> RadVar,  : 
>   sGLFluxPartition:::fCheckColNames::: Missing specified columns in
> dataset: NEE_U2.5_f, NEE_U2.5_fqc, NEE_U2.5_fsd!
> 
> I found this, which helps a little and makes me think I’m not doing
> things completely wrong but it does not solve my
> problem: https://github.com/bgctw/EGU19EddyCourse
> 
> I will greatly appreciate any insight or tips for helpful resources, 
> Marguerite
> 
> 
> UTEP
> 
> 	
> Marguerite Mauritz
> PhD
> Pronouns: she/hers
> Biological Sciences, Systems Ecology Lab
> The University of Texas at El Paso
> 500 W. University Ave.
> El Paso, TX 79968
> Office: 915-747-XXXX
> utep.edu <http://utep.edu/>
> Twitter <https://twitter.com/MargueriteMau>
> 
> 
> 
> 
> 
> 
> 
> 
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