Insights / Published by the SIM Institute

Start with the pain point. Follow the evidence.

Readable irrigation science for operators, engineers, researchers, water programs, and anyone who needs to understand why the model matters before opening it.

INSIGHT LIBRARY / 29 ARTICLES
Explainer / Arizona Water

Why an Acre-Foot Is Not a Complete Measure of Water Availability

Volume describes quantity, but not whether water can reach a particular field at the time, pressure, reliability, and cost the operation requires.

CONNECTED TOOLWater Ledger →
Technical Brief / Arizona Water

Stored Water Is Not the Same as Deliverable Water

Storage creates an accounting position; delivery requires a physical path, capacity, authority, timing, and energy.

CONNECTED TOOLWater Ledger →
Methods Note / Water & Energy

How to Compare Water Sources Without Pretending They Are Equivalent

A single price or volume hides the different risks attached to groundwater, surface supply, stored credits, and reclaimed water.

CONNECTED TOOLAccounting Lab →
Explainer / Water & Energy

Seven Variables That Determine Whether Water Can Actually Serve a Farm

Water is useful only when the farm can obtain, move, afford, buffer, and apply it reliably.

CONNECTED TOOLAccounting Lab →
Explainer / Water & Energy

How Much Energy Does It Take to Deliver One Acre-Foot?

The same volume can require radically different energy because elevation, pressure, friction, treatment, and pump efficiency differ.

CONNECTED TOOLWater–Energy Lab →
Technical Brief / Hydraulic Design

Why Pressure Can Cost More Energy Than Pumping Lift

Pressure is often treated as a fixed system requirement even when it drives a large share of pumping energy.

CONNECTED TOOLWater–Energy Lab →
Explainer / Hydraulic Design

The Difference Between Daily Water Demand and Instantaneous System Demand

A crop consumes water over a day, while irrigation infrastructure is commonly sized to deliver it during a short event.

CONNECTED TOOLIrrigation Demand Lab →
Technical Brief / Hydraulic Design

Can Storage Decouple Canal Delivery From Crop Demand?

Canal deliveries and crop application do not always share the same timing or flow rate.

CONNECTED TOOLIrrigation Demand Lab →
Explainer / Arizona Water

Where Arizona Irrigation Is Most Exposed to Energy and Delivery Risk

Statewide water totals conceal local differences in lift, infrastructure, supply type, regulation, and delivery reliability.

CONNECTED TOOLArizona Map →
Methods Note / Pilot Methods

How to Build an Irrigation Model Without Inventing Precision

A model becomes misleading when precise outputs are presented without equally precise inputs, mechanisms, or uncertainty.

CONNECTED TOOLResearch Model →
Technical Brief / Pilot Methods

The Minimum Data Required for a Defensible Irrigation Pilot

Many pilots collect abundant dashboard data but omit the baseline, protocol, calibration, or field observations needed to interpret it.

CONNECTED TOOLResearch Model →
Explainer / Field Problems

How to Identify Farms Most Likely to Benefit From Hydraulic Demand Reduction

Water scarcity alone does not tell whether a farm can benefit from lower peak hydraulic demand.

CONNECTED TOOLOpportunity Map →
Commentary / Pilot Methods

Why the Best Pilot Site Is Not Always the Most Water-Stressed Site

Extreme need attracts attention, but severe constraints can make a site incapable of producing interpretable evidence.

CONNECTED TOOLOpportunity Map →
Explainer / Arizona Water

What Is an Arizona Long-Term Storage Credit?

A long-term storage credit records eligible water stored underground under a specific accounting framework; it is not a tank of water waiting at a farm gate.

CONNECTED TOOLLTSC Usability Lab →
Explainer / Arizona Water

Why CAP Deliveries and Crop Demand Do Not Always Align

A canal delivery schedule and a field application schedule are governed by different infrastructure and operating constraints.

CONNECTED TOOLCAP Demand Lab →
Methods Note / Arizona Water

How to Validate Lower Colorado River Water Claims

Basin-scale conservation claims can lose meaning when allocation, diversion, delivery, application, and beneficial outcome are treated as the same quantity.

CONNECTED TOOLLower Colorado River Validation →
Explainer / Pilot Methods

What Makes an Irrigation Pilot Worth Running?

A demonstration can look successful without answering a decision, testing a mechanism, or producing transferable evidence.

CONNECTED TOOLPilot Score →
Technical Brief / Pilot Methods

Ten Reasons Field Demonstrations Produce Inconclusive Results

Inconclusive results usually begin before installation: the question, baseline, comparison, sensors, or decision rule was never made explicit.

CONNECTED TOOLPilot Score →
Methods Note / Pilot Methods

How to Write an Irrigation Performance Report That a Reviewer Can Trust

A polished report is not credible when its claims cannot be traced to protocols, inputs, methods, observations, and exceptions.

CONNECTED TOOLReport Builder →
Field Note / Field Verification

Why Field Notes Belong in Technical Reports

Telemetry records what instruments sensed; field notes record maintenance, weather, visible behavior, interventions, and context the instruments may miss.

CONNECTED TOOLReport Builder →
Explainer / Arizona Water

Which Public Water Data Can Actually Be Trusted?

Public water data can be authoritative for one question and inadequate for another because purpose, scale, date, and method differ.

CONNECTED TOOLData Sources →
Technical Brief / Arizona Water

Why Water Datasets Disagree

Apparent conflicts often come from different definitions of diversion, delivery, use, storage, geography, or time rather than simple error.

CONNECTED TOOLData Sources →
Commentary / Technology & Controls

Why Smart Irrigation Is Moving Beyond Scheduling

Recommendations about when and how long to irrigate do not show whether the hydraulic system performed or the root zone responded.

CONNECTED TOOLSIM Platform →
Explainer / Root-Zone Science

Plant-Based Intelligence as the Missing Signal

Weather and soil measurements estimate conditions around the plant, but they do not always show how the crop actually responded.

CONNECTED TOOLSIM Platform →
Commentary / Technology & Controls

The Case for Hardware-Control Partnerships

A recommendation gains operational value when it can be connected to valves, pumps, filters, pressure, flow, and fault detection at the field edge.

CONNECTED TOOLSIM Platform →
Explainer / Technology & Controls

Remote Sensing Turns Irrigation Into a Map

Point sensors describe selected locations; satellite, aerial, and thermal observations can reveal spatial patterns across an entire field or region.

CONNECTED TOOLArizona Map →
Explainer / Root-Zone Science

Soil Moisture Still Matters, but It Needs Context

A soil sensor can show change at one place and depth, but the number is easy to misread without texture, installation, roots, salinity, irrigation rate, and crop stage.

CONNECTED TOOLSIM Platform →
Commentary / Water & Energy

Water Accounting Is Becoming a Business Requirement

Growers and technology providers increasingly need to explain not only what changed, but how a water or energy claim was calculated and what evidence supports it.

CONNECTED TOOLWater Ledger →
Commentary / Industry Strategy

The Collaboration Model That Could Win

No single company needs to own recommendations, control hardware, plant sensing, imagery, water accounting, and verification to create a complete operating system.

CONNECTED TOOLSIM Platform →
Article types

Choose the depth that fits the decision.

Field Note

A short operational observation from a real system.

Explainer

A readable introduction to one technical problem.

Technical Brief

Mechanisms, assumptions, limitations, and scientific detail.

Methods Note

How SIM calculates, classifies, or verifies something.

Case Study

A complete field or planning example.

Commentary

Industry direction, adoption, policy, and strategy.

CASE STUDY / IN DEVELOPMENT

Yuma: documenting an ultra-low-flow pilot without polishing away the problems.

A structured record for a 275-gallon reservoir, gravity head, 65 emitters, filtration changes, drawdown, emitter observations, soil tension, and the next protocol revision.

Open the case workspace →