[and how it might help with your growing pains, too]
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- Silas Curtis
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1 Stefan Metzger, Ankur Desai, David Durden, Natchaya Pingintha-Durden, Cove Sturtevant, Ke Xu a brief history of eddy4r-docker [and how it might help with your growing pains, too] National Ecological Observatory Network A project sponsored by the National Science Foundation and operated under cooperative agreement by Battelle. 1
2 the early beginnings 2
3 expansion credit: Matt Rydzik (U Wisconsin) credit: Peter Gege, DLR Torsten et al.: CH4 flux in Arctic Adam et al.: NOx, VOC over London Stefan et al.: 47 NEON 3 Ankur et al.: tall tower
4 expansion 4
5 version control to the help portable extensible reproducible: dependencies resolve differently across OSs 5
6 eddy4r-docker: Development and Operations framework Computer Docker shipping container system for code eddy4r-docker: turn-key, reproducible, extensible and portable data processing + analysis environment DevOps community development framework 6
7 eddy4r-docker: modular extensibility eddy4r family of R-packages (raw data 30 min) NEON's eddy4r, nneo, metscanner + MPI's REddyProc R-packages: end-to-end, modularly adjustable and extensible workflows in single R-environment processing parameters loop around planar-fit/wavelet period ingest remote-sensing data data-parallel: turbulence data read L0p lag-correction transform AMRS collect: turbulence data transform SONIC planar-fit R workflow turbulence field-validate IRGA calculate Wavelet data-parallel: processing core correct frequency response calculate L1-L4 DPs, Wavelet stats model footprint perform, summarize QA/QC quantify, summarize uncertainty collect: processing core L1 L4 HDF5 files collect around planar-fit/wavelet period 7
8 eddy4r-docker: documentation composite Algorithm Theoretical Basis Document concise description of workflow and methods used links to interactive help files for detailed technical information (full transparency) 8
9 eddy4r-docker: documentation 9
10 eddy4r-docker: traceability to community standards 10
11 eddy4r-docker: operational data NEON Instrument system Product level Product catalog Product name Data on Portal NEON.DP D Wind Speed, Direction and Sonic Temp EC turbulence L1 statistics NEON.DP D Wind Attitude and Motion Reference (gold site) NEON.DP CO2 Concentration - Turbulent (scaled) NEON.DP H2O Concentration - Turbulent NEON.DP CO2 Concentration - Storage (gold site) NEON.DP H2O Concentration - Storage (scaled) EC profile L1 statistics NEON.DP Atmospheric CO2 Isotopes (scaled) NEON.DP Atmospheric H2O isotopes NEON.DP Temperature rate of change EC profile L2 time-interpolated NEON.DP CO2 concentration rate of change NEON.DP H2O concentration rate of change NEON.DP Temperature rate of change profile EC profile L3 space-interpolated NEON.DP CO2 concentration rate of change profile NEON.DP H2O concentration rate of change profile (scaled) NEON.DP Sensible heat flux NEON.DP Momentum Flux EC profile + L4 fluxes NEON.DP Latent heat flux turbulence combined NEON.DP Carbon dioxide flux NEON.DP Footprint characteristics pipeline capabilities near-real-time (1 week 1 month) extensible: e.g. operational data fusion 11
12 other, recent application examples NO x emission over London (Vaughan et al., 2016) geologic CH 4 emissions from permafrost (Kohnert et al., 2017) CH 4 emission from dairy (Desjardins et al., 2017) 12
13 the leading edge of eddy4r: SAE in box translating transient EC observations into time-invariant fixed-frame (ERF-VCV) Metzger, S.: Surface-atmosphere exchange in a box: Making the control volume a suitable representation for in-situ observations, Agric. For. Meteorol., doi: /j.agrformet , Xu, K., Metzger, S., and Desai, A. R.: Surface-atmosphere exchange in a box: Space-time resolved storage and net vertical fluxes from tower-based eddy covariance, Agric. For. Meteorol., doi: /j.agrformet ,
14 the leading edge of eddy4r: ERF-VCV volume-projected heat storage change (Xu et al., 2017) grid-projected turbulent heat flux (Metzger, 2017) ρc p dt / dt [W / m 3 ] CST 14
15 spatial flux from single tower (ERF-VCV validation ~ LES) u Xu et al. AGU talk today (B24D-07): How many flux towers are enough? How tall is a tower tall enough? How elaborate a scaling is scaling enough? 15
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