Anticipate critical periods
Identify hours when predicted peak odor concentrations may exceed a site-specific threshold at one or more receptors.
Enviroware × Ambiente et Odora · cloud odor forecasting
Know when odor risk is coming—and act before it arrives.
PrOlor predicts odor threshold exceedances at sensitive receptors up to 24–48 hours ahead, then sends clear alerts to the people who need to act. No local software. No dashboard to remember to check.
Forecast meteorology drives dispersion calculations for each source, hour, and sensitive receptor.
Up to four runs per dayconfigured around forecast-data availability
State-of-the-science chainGFS · WRF · CALWRF · CALMET · CALPUFF
Actionable communicationdifferent recipients for alerts and routine messages
Scalable cloud operationno user installation or dedicated local server
Collaboration
PrOlor is a collaboration between Enviroware and Ambiente et Odora.
PrOlor combines Enviroware's atmospheric-modeling expertise with the odor-management experience of Ambiente et Odora. Read the project description on olores.org.
Operational value
A complex forecast made deliberately simple.
The calculation system remains rigorous behind the scenes. Operators receive only the information needed to plan work, reduce avoidable exposure, and respond consistently.
Plan flexible operations
Reschedule or modify odor-generating activities when the facility has operational measures available to reduce emissions.
Reduce communication friction
Send concise email messages automatically instead of asking multiple users to interpret a technical platform every day.
Route alerts by responsibility
Configure recipients differently for threshold exceedances, routine forecasts, and non-critical results.
Deploy without local infrastructure
Cloud execution avoids user-installed software, physical modeling servers, hardware obsolescence, and routine platform access.
Scale the service to the need
Use PrOlor continuously, for a defined operational period, or as a short campaign supporting monitoring and sampling decisions.
Automated workflow
From global forecast data to a site-specific decision.
After initial site configuration, each forecasting session runs automatically in the cloud. The service can be scheduled up to four times per day.
- 01Download forecast meteorology
Obtain the GFS initial and boundary conditions required for the configured forecast session. - 02Predict local weather
Run WRF nested domains, then process the output through CALWRF and CALMET to resolve site-scale wind and turbulence. - 03Simulate odor dispersion
Run CALPUFF for the configured point, area, and volume sources using time- and space-varying meteorology. - 04Evaluate sensitive receptors
Extract hourly concentrations, apply the configured peak-to-mean factor, and compare results with the alert threshold. - 05Notify the right people
Prepare and send a clear email containing forecast time, receptors, exceedance hours, concentrations, and agreed instructions.
The final product
An alert people can understand at a glance.
PrOlor replaces a daily technical-platform ritual with direct communication. Message content and recipient lists are configured for the facility’s own response procedure.
Forecast notification
The message identifies the forecast session and reports the receptor, hour, and predicted concentration whenever the selected level of concern is exceeded.
Modeling technology
Reliable components, configured as one service.
Global forecast input
NCEP’s Global Forecast System supplies initial and boundary conditions for the weather forecast.
Mesoscale meteorology
WRF uses three nested domains by default—typically 27, 9, and 3 km—with an optional 1 km domain for complex settings.
Weather-model processing
CALWRF transforms WRF output into the four-dimensional meteorological input required by CALMET.
Site-scale wind fields
CALMET produces three-dimensional hourly meteorology, commonly at 250 m horizontal resolution or finer for PrOlor.
Odor dispersion
The Lagrangian puff model represents multiple source types under spatially and temporally varying meteorological conditions.
Receptor analysis
Automated postprocessing derives peak concentrations, checks the selected threshold, and prepares the notification.
Site configuration
Built around the facility, sources, and receptors.
A one-time setup creates the domains and model files. Source behavior and operational rules are then represented with the level of detail needed for useful forecasts.
01Forecast domain
Center, extent, terrain, land cover, grid resolution, nesting, and forecast horizon.
02Emission sources
Point, area, and volume geometry, odor emission rates, schedules, and scenarios.
03Sensitive receptors
Homes, workplaces, public spaces, monitoring sites, and other locations of interest.
04Decision rules
Thresholds, peak treatment, recipients, run times, and site-specific response instructions.
Applications
Forecast the operations that can actually be managed.
PrOlor is most useful when a facility can alter timing, intensity, controls, or work practices in response to unfavorable dispersion conditions.
Composting and organic waste
Plan windrow turning, material handling, receiving, maturation, and other potentially high-emission activities.
Wastewater and tanks
Schedule cleaning, emptying, maintenance, sludge handling, and intermittent operations around lower-risk periods.
Industrial production
Support decisions on process timing, loading, maintenance, temporary controls, and production scenarios.
Construction and remediation
Plan demolition, excavation, contaminated-soil handling, and other short-duration odor-generating work.
Monitoring campaigns
Use short-term forecasts to select instrument deployment, field inspection, or sampling periods and locations.
Community-impact management
Combine forecasts with a defined response plan to reduce avoidable exposure and support consistent internal communication.
Validation and evidence
A forecast service must be checked against the real world.
Validation is designed for the deployed configuration and available observations, examining both meteorological performance and whether modeled odor patterns correspond with independent evidence.
- 01Meteorological evaluation
Compare WRF and CALMET with observations using wind roses, temperature and wind statistics, direction performance, and daily cycles. - 02Dispersion evaluation
Compare predicted odor occurrence with field observations, citizen-science campaigns, continuous monitoring, or other suitable evidence. - 03Operational review
Check source schedules, emission assumptions, alert usefulness, false or missed events, and whether response instructions remain appropriate. - 04Technical publication
The PrOlor architecture and communication approach were presented at the NOSE 2024 international conference and published in Chemical Engineering Transactions.
Review the NOSE 2024 PrOlor work.
Read the peer-reviewed paper or view the conference material describing the system architecture, automated workflow, and alert strategy.
Read the paper ↗Connect forecasting with a complete odor strategy.
Enviroware also supports source characterization, impact assessment, complaint investigation, model review, monitoring design, and mitigation evaluation.
Explore odor services →Project-specific configuration: forecast horizon, run frequency, domain resolution, threshold, peak-to-mean factor, source scenarios, and notification rules are selected for each deployment. PrOlor predictions support operational decisions but do not replace permit conditions, required monitoring, or professional judgment.
Proactive odor management
Tell us what your facility can change when risk is forecast.
We will help define the sources, receptors, forecast configuration, alert level, recipients, and response procedure needed for a useful deployment.