CLASSROOM
Teach with a real field-scale system
Use ET, irrigation, hydrology, remote sensing, crop science, soil science, and agricultural engineering questions inside one working environment.
Research & Education
Keep the scientific questions at the center.
BAITSSS Desktop can support coursework, student projects, graduate research, extension education, and collaborative studies where a reproducible field-scale modeling environment serves the academic question.
Why the work matters
Kansas farmers used less groundwater. The scientific question extends far beyond Kansas.
An AAAS feature documented the Sheridan 6 water-management effort in northwest Kansas, where irrigation allocation was reduced by roughly 20%. The report says actual water use fell by about 39% over the first five-year period while an economic analysis found farmers maintained profits. The same story follows the BAITSSS model research into the question of how much water crops actually need under restricted supply.
Published by AAAS in 2019. The case is Kansas, but the underlying problem of sustaining irrigated agriculture with less groundwater applies across water-limited agricultural regions.
Documented student research
MIT student research used the BAITSSS model in Kansas.
A documented student collaboration used BAITSSS in Cheyenne County, Kansas to investigate higher-resolution satellite information for evapotranspiration and irrigation analysis.
Presented as a documented student research collaboration, not as an institution-wide endorsement or deployment.
01 · Where it fits
One environment across teaching, research, and extension.
Different users can approach the same field from different questions while keeping the data, simulation, Results, and scientific record together.
GRADUATE RESEARCH
Start with the research question
Investigate assumptions, sensitivity, spatial variability, irrigation scenarios, observations, and model limitations without first constructing the full application framework.
FACULTY
Use one reproducible environment for supervision
Support demonstrations, assignments, theses, dissertations, capstones, model evaluation, and field studies with traceable project and run settings.
EXTENSION
Connect university science with field interpretation
Use the same scientific framework for field demonstrations, irrigation education, and interpretation of ET, soil-water, and satellite information.
WATER & ATMOSPHERIC SCIENCE
Study forcing, exchange, and field response
Examine how hourly weather, aerodynamic exchange, surface energy balance, vegetation, and soil-water state interact through time.
INTERDISCIPLINARY WORK
Let several disciplines inspect the same simulation
Agronomy, engineering, soil science, remote sensing, hydrology, crop science, atmospheric science, and extension can work from the same field record.
02 · Research frontier
Software can remove infrastructure work. It cannot remove the scientific problem.
Seasonal hourly simulation, 30 m spatial analysis, multi-source environmental inputs, restartable execution, repeatable scenarios, and traceable Results are easier to organize when the software framework already exists. The difficult work remains observation, interpretation, transferability, and validation.
NOW MORE FEASIBLE
Controlled field-scale computational experiments
Comparable seasonal and spatial experiments can be organized inside one reusable workflow instead of being rebuilt separately for each study.
STILL DIFFICULT
Observation and uncertainty
Irrigation records, root-zone measurements, thermal observations, ET partitioning, parameter transferability, and long multi-site validation remain difficult scientific problems.
THE BAITSSS BRIDGE
Move effort toward the question
The project, data, execution, recovery, Results, provenance, and parameter framework is already present, leaving more time for mechanism, sensitivity, observations, and evaluation.
A decade ago versus now
Many underlying datasets and models existed a decade ago, but students often had to assemble downloading, preprocessing, reprojection, timestamp handling, runtime dependencies, long-run recovery, plotting, and provenance as separate research code. BAITSSS Desktop turns more of that work into reusable infrastructure.
03 · Academic package
In preparation
A direct path into the science
The academic package is being organized so students and instructors can begin with a defined problem and a working computational environment. It is not yet presented as a finished packaged course product.
- BAITSSS Desktop
- Example project and data
- Short getting-started tutorial
- One complete classroom exercise
- Instructor guidance
- Explanation of the science behind each workflow
- CSV and figure outputs for analysis
- Suggested undergraduate, MS, and PhD project directions
04 · Research directions
Questions students and researchers can investigate
01
Resistance and stability
Evaluate aerodynamic, canopy, soil, and stability assumptions, including conditions that affect hourly numerical behavior.
02
Thermal observations
Compare independent surface-temperature observations with modeled temperature states.
03
Soil and vegetation sensitivity
Test soil properties, rooting assumptions, vegetation representation, and flux partitioning.
04
Crop and site transferability
Examine behavior across crops, climates, management settings, and meteorological conditions.
05
Model comparison
Design research exercises around comparison, interpretation, sensitivity, and reproducible analysis.
06
Spatial performance
Examine behavior from representative points to gridded fields and heterogeneous landscapes.
05 · Academic participation
Research, teaching, and extension through institutions
Academic and extension use is organized through the responsible university, department, laboratory, extension program, or research organization so the software, study context, and scientific responsibilities are clear.