GribStream Blog
HRRR corn growth simulation demo (PTU + stress modeling)
A new HRRR-driven demo simulates corn growth using PTU, ET0, and stress factors, powered by expression-based queries.
On April 16, 2025, we published a new HRRR-based corn growth simulation demo that combines PTU, ET0, and multiple stress factors in a single query.
What the demo does
The dashboard uses hourly HRRR data (temperature, radiation, wind, humidity, and soil moisture) to estimate crop development over a season:
- PTU (Photothermal Units) combine temperature above a base threshold with solar radiation.
- ET0 (reference evapotranspiration) estimates crop water demand.
- Stress factors (cold, water, radiation, ET0) adjust growth to reflect real-world conditions.
The result is a time series that shows raw vs. stress-adjusted growth and maps cumulative PTU to growth stages.
Why it matters
This is a realistic example of using GribStream as a feature engine for applied science. You can build a full agronomic workflow using one API call with chained expressions and derived fields.
Use cases include:
- Detecting stress windows for irrigation planning.
- Comparing seasons or locations using the same growth metrics.
- Running historical experiments across multiple years for yield studies.