Weather lineage
Preserve station, sensor exposure, service or model, timezone, observation interval, missing-data handling, maintenance state, and distance or representativeness limits.
ESTIMATE ATMOSPHERIC DEMAND, KEEP FIELD REALITY VISIBLE
Crop evapotranspiration estimation converts weather, surface, crop, and time context into an estimate of water leaving a defined soil–plant system through evaporation and transpiration.
Visual explanationA diagram or operating scene makes the relationship visible.
Structured modelA flow, comparison, capability set, or boundary map organizes the idea.
Guided explanationOriginal prose connects the concept to its operating context.
University of Minnesota Extension describes evapotranspiration-based scheduling as a water-balance approach in which weather-derived reference demand is translated to crop water use and reconciled with soil-water conditions and water inputs.
USDA ARS also uses remote observations and models to study evapotranspiration and crop water status. These approaches answer related but different questions, so reference surface, crop, canopy, spatial resolution, time window, model, and validation must travel with an ET value.
Preserve station, sensor exposure, service or model, timezone, observation interval, missing-data handling, maintenance state, and distance or representativeness limits.
Record crop, variety where relevant, emergence or planting context, growth stage, canopy, coefficient source, stress assumption, management, and local adaptation.
State whether the value is a water depth or volume, the area it represents, accumulation period, timestamp convention, update behavior, and any conversions.
Compare estimated depletion with root-zone sensing, rainfall, measured applied water, crop condition, system capacity, runoff, drainage, and later field response.
Reference ET is not crop ET.A reference estimate needs an explicit, locally appropriate crop and stage translation before it represents crop demand.
Crop ET is not root-zone depletion.Initial soil water, effective rainfall, measured irrigation, runoff, drainage, capillary contribution, rooting, salinity, stress, and spatial variability remain part of the balance.
A map pixel is not a flow command.Remote or modeled ET must pass through agronomic review, field geometry, system capacity, application uniformity, legal constraints, safety, and physical verification.
Published coefficients are not universal.Crop development, climate, reference basis, management, canopy, variety, stress, and local conditions determine whether a coefficient or model is applicable.
Follow incoming and outgoing relationship records to understand what supplies, informs, enables, coordinates with, or extends this technology in the published knowledge graph.
02connections visible
Representative radiation, temperature, humidity, wind and time observations can inform reference evapotranspiration, while station exposure, maintenance, missing data, reference method, crop translation, field variability and uncertainty remain explicit.
A qualified crop ET estimate can inform root-zone accounting, but initial soil water, rainfall, measured irrigation, runoff, drainage, rooting, crop condition, system capacity, local guidance and field verification remain separate.
Move from representative weather and crop-demand estimation through soil, delivery, and plant evidence to a bounded irrigation decision and a reviewable period record.
Keep reference surface, method, crop, stage, coefficient or model, canopy, stress assumption, geography, time basis, and uncertainty attached to the estimate.
This briefing uses University of Minnesota Extension, USDA ARS, and Oklahoma Mesonet material to explain weather-based crop water-use estimation and field reconciliation. It provides no universal coefficient, depletion threshold, irrigation interval, or water amount.