From processed fluxes to defensible, publication-ready results.
Import already-computed half-hourly/hourly flux or environmental data, verify the mapping, apply transparent QC, benchmark gap-filling methods, and continue only into the energy, water, carbon or footprint modules supported by your dataset.
1. Project data
Primary processed flux/environmental file plus optional supplemental weather data.
2. Project policy
Time handling is explicit because logger conventions differ.
Verify before processing
FluxGapFill proposes mappings and units but does not silently assume unknown fields. Correct any suggestion here before loading the project.
Primary file
Not inspected
| Role | Source column | Unit | Detection |
|---|---|---|---|
| Inspect a primary file first. | |||
Supplemental file
Optional
| Role | Source column | Unit | Detection |
|---|---|---|---|
| No supplemental file selected. | |||
Input preview
First records only. Preview does not alter the file.
| Inspect a file to preview it. |
Quality, completeness and gap structure
Standardized midpoint grid after mapping, unit normalization, QC screening and optional supplemental alignment.
Measured fluxes
Downsampled only for visualization; calculations use every record.
Project details
Predictor availability
Variables visible to current/future analysis modules.
| Variable | Complete | N |
|---|
Screen transparently before model training
Import-stage QC remains intact. This additional layer can reject implausible ranges and isolated robust spikes without altering the standardized source copy.
QC policy
Conservative defaults; every rejection receives an explicit reason flag.
QC summary
Import-stage rejection and secondary screening remain distinguishable in the audit trail.
QC audit
No rejected value is silently removed; the full provenance export retains pre-QC values and flags.
| Variable | Before | Range reject | Spike reject | After | Missing after |
|---|---|---|---|---|---|
| Load a project and apply quality control. | |||||
Use what is ready. Add data where needed. Skip the rest.
Each analysis module checks required variables independently, so missing footprint or carbon information never blocks gap filling or ET work.
Optional site information
Needed by selected advanced modules; leave blank if not applicable.
How optional modules behave
Compare established MDS with enhanced machine learning
Validation hides contiguous calendar outages and scores only observations that existed before masking. This is retrospective reconstruction validation—not forecasting.
Blocked validation design
Use multiple windows for stronger site-specific evidence. Long runs can take several minutes in the browser.
Adaptive final fill
The best validated method is selected by target and nearest tested gap duration. You can also force one candidate.
Overall blocked-validation performance
RMSE, MAE, bias, R² and prediction coverage across the hidden calendar windows.
| Flux | Gap | Model | N | RMSE | MAE | Bias | R² | Windows |
|---|---|---|---|---|---|---|---|---|
| Run validation to populate this table. | ||||||||
Day / night diagnostics
Day/night basis appears after validation.
| Flux | Gap | Model | Segment | N | RMSE | Bias |
|---|---|---|---|---|---|---|
| Run validation first. | ||||||
Selected model by duration
Site-specific adaptive rules from the validation results.
Seasonal diagnostics
DJF, MAM, JJA and SON are reported when a held-out window contains observations from that season.
| Flux | Gap | Model | Season | N | RMSE | MAE | Bias | R² |
|---|---|---|---|---|---|---|---|---|
| Run validation first. | ||||||||
Gap-filled fluxes with provenance
Measured observations remain unchanged; reconstructed values retain method labels, gap class, MDS donor diagnostics and empirical blocked-validation uncertainty when available.
Final LE and H
Method provenance
Daily ET from final LE
Temperature-dependent latent heat of vaporization.
Energy closure and water-use analysis
Run only the modules supported by your data. Missing inputs are identified explicitly; optional methods can be skipped without affecting gap filling.
Energy-balance configuration
Raw/reconstructed H and LE are preserved. Corrections are separate sensitivity products.
ET + advanced correction inputs
De Roo methods are enabled only when their scaling variables are available.
Optional irrigation / applied-water file
Use this when irrigation is stored separately from the primary or weather file. CSV/TXT/Excel logger-style files are accepted.
Energy closure
Available energy (Rn − G) versus turbulent energy (H + LE).
Monthly energy-balance ratio
Correction-method diagnostics
Mauder 2013, Charuchittipan 2014, De Roo 2018 direct and De Roo 2018 EBR-rescaled.
| Method | Status | Applied | Post-correction EBR | Notes / missing inputs |
|---|---|---|---|---|
| Run energy & water analysis. | ||||
Daily ET and ETo
Days below the selected completeness threshold are flagged rather than silently treated as complete.
Cumulative water
ET, ETo and rain + irrigation when available.
Water inputs and soil-water response
Precipitation and irrigation are shown when supplied; SWC is plotted as context, not as a complete soil-water-balance model.
Energy & water warnings and provenance
Energy & water exports
Generated locally in your browser.
u* threshold · carbon partitioning · footprint
Each module checks its own requirements. Missing inputs cause a clear “Needs data” result rather than a failed workflow.
u* threshold analysis
Seasonal MPT-style plateau detection plus independent CPD-style breakpoint detection with bootstrap uncertainty.
Carbon partitioning
Nighttime Lloyd–Taylor respiration modeling with time-varying Rref; GPP is reported positive for uptake.
Footprint climatology
Kljun et al. (2015) FFP parameterisation.
AOI / land-cover overlay optional
GeoJSON polygons can represent fields, crops, roads, water, or exclusion zones.
u* response
Daily carbon components
Footprint climatology
AOI contribution
| AOI | Exclude | Contribution |
|---|---|---|
| No AOI results. | ||
Advanced module status
Carbon & footprint exports
Export the audit trail and journal-ready figures.
All exports are created locally. Figure Studio produces print-oriented white-background figures independent of the on-screen theme.
Gap-filled products
QC & validation diagnostics
Journal Figure Studio
Export any rendered chart with publication-oriented typography, margins and resolution.