FG
FluxGapFillFlux processing & environmental analysis
Local processing
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NEXT STEPUpload a processed flux or environmental file.
Flux analysis workspace

A clear path from flux data to results.

Import processed flux data, check quality, validate reconstruction methods and explore environmental exchange. Your data are processed in this browser.

Data sources

Primary processed flux/environmental file plus optional supplemental weather data.

Explore with example dataSynthetic datasets for learning the workflow.
Campbell TOA5FLUXNET-styleGeneric CSVExcelSupplemental weather

Project settings

Time handling is explicit because logger conventions differ.

Processed on your device. Your original files remain unchanged. Export results before refreshing or closing this tab.
Variable mapping

Variable mapping

FluxGapFill proposes mappings and units but does not silently assume unknown fields. Correct any suggestion here before loading the project.

Choose files and run inspection first.

Primary file

Not inspected

—
RoleSource columnUnitDetection
Inspect a primary file first.

Supplemental file

Optional

—
RoleSource columnUnitDetection
No supplemental file selected.

Input preview

First records only. Preview does not alter the file.

Inspect a file to preview it.
Data overview

Data overview

Standardized midpoint grid after mapping, unit normalization, QC screening and optional supplemental alignment.

Records—
Time step—
LE missing—
H missing—
LE longest gap—
H longest gap—
Period—
External source—

Measured fluxes

Downsampled only for visualization; calculations use every record.

Project details

Project—
Primary source—
Period—
Records—
Resolution—
Supplemental source—

Predictor availability

Available environmental predictors and their completeness.

VariableCompleteN
Quality control

Quality control

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.

Reversible within the session. Re-running QC always starts from the standardized imported dataset, not from previously screened values.

QC summary

Import-stage rejection and secondary screening remain distinguishable in the audit trail.

Range rejects—
Spike rejects—
Variables—

QC audit

No rejected value is silently removed; the full provenance export retains pre-QC values and flags.

VariableBeforeRange rejectSpike rejectAfterMissing after
Load a project and apply quality control.
Capability-aware workspace

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

Ready means the required data are already in the project. Needs data identifies exactly what is missing. Use “Add data” to return to the import workspace, or “Skip” to hide that module for this project. Skipping never deletes data.
High-frequency raw EC processingOut of scope
Processed flux / environmental dataSupported
Server-side storageNone
Process a dataset to evaluate module readiness.
Gap filling

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.

Uncertainty is calibrated separately. MDS donor SD is retained as donor dispersion. A 95% reconstruction interval is only generated when enough blocked-validation residuals exist.

Overall blocked-validation performance

RMSE, MAE, bias, R² and prediction coverage across the hidden calendar windows.

FluxGapModelNRMSEMAEBiasR²Windows
Run validation to populate this table.

Day / night diagnostics

Day/night basis appears after validation.

FluxGapModelSegmentNRMSEBias
Run validation first.

Selected model by duration

Site-specific adaptive rules from the validation results.

No site-specific validation has been run yet.

Seasonal diagnostics

DJF, MAM, JJA and SON are reported when a held-out window contains observations from that season.

FluxGapModelSeasonNRMSEMAEBiasR²
Run validation first.
Results

Reconstruction results

Measured observations remain unchanged; reconstructed values retain method labels, gap class, MDS donor diagnostics and empirical blocked-validation uncertainty when available.

Reconstructed flux series

Intervals: run blocked validation before final filling to calibrate empirical uncertainty.

Method provenance

Run gap filling to populate provenance.

Daily ET from final LE

Temperature-dependent latent heat of vaporization.

energy + water / ET

Energy & water

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.

Soil heat storage. If you choose buried-plate correction, FluxGapFill requires soil temperature, SWC, plate depth and measured bulk density. It does not silently query or invent soil properties.

ET + advanced correction inputs

De Roo methods are enabled only when their scaling variables are available.

Interpretation. Energy-balance corrections are sensitivity scenarios, not proof of the physical cause of non-closure. De Roo methods require u*, Monin–Obukhov length, measurement height and w* or the variables needed to derive it.

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.

Optional
No separate irrigation file selected. Skip this step if irrigation/rainfall is already in the project or not needed. Download a daily-irrigation example.
Measured EBR—
OLS slope—
Closure R²—
Primary intervals—
Total accepted ET—
Mean ET/ETo—

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.

MethodStatusAppliedPost-correction EBRNotes / 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

Run energy & water analysis to populate method availability, assumptions and warnings.

Energy & water exports

Generated locally in your browser.

advanced flux post-processing

Carbon & 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.

Requires NEE and temperature. u* and radiation are strongly recommended and used automatically when available.

Footprint climatology

Kljun et al. (2015) FFP parameterisation.

Requires u*, wind direction, Monin–Obukhov length, σv, wind speed, measurement height, and PBL height.

AOI / land-cover overlay optional

GeoJSON polygons can represent fields, crops, roads, water, or exclusion zones.

No AOI file loaded. Footprint climatology can run without AOIs.
Selected u*—
Night records—
Respiration E0—
Carbon model R²—
Valid footprints—
Median peak fetch—

u* response

Daily carbon components

Footprint climatology

AOI contribution

AOIExcludeContribution
No AOI results.

Advanced module status

Run carbon & footprint analysis to populate module status and diagnostics.

Carbon & footprint exports

Export & figure studio

Data & figure export

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

Figure Studio

Export any rendered chart with consistent typography, margins and resolution.

600 DPI / SVG
Only figures already rendered in this browser session are listed.
Export appearance: white background, regular-weight sans-serif type, restrained line weights, automatic margins, no interface colors/backgrounds, and no forced bold formatting. PNG files are written at the selected physical width with 600-DPI metadata.