Site characterization
Describe wind, temperature, precipitation, humidity, pressure, cloud cover, stability, mixing conditions, and seasonal or diurnal behavior.
Meteorological analysis · model-ready data
Meteorology that represents the site—and supports the decision.
We analyze observations, run WRF, prepare three-dimensional wind fields, and deliver traceable meteorological inputs for dispersion modeling, environmental assessment, forecasting, and specialist studies worldwide.
Observations, numerical weather simulation, terrain, land cover, boundary-layer structure, quality checks, and model-specific processing.
Worldwide coveragecustom domains for project locations globally
Observations + modelingmethod selected for data availability and scale
Multiple target modelsAERMOD, CALPUFF, CALMET, and LAPMOD
Traceable deliveryinputs, controls, plots, checks, and documentation
What we provide
From weather records to defensible atmospheric inputs.
A reliable dataset must match the site, period, spatial scale, target model, and regulatory question. We manage that complete technical chain.
Observed-data analysis
Review surface, upper-air, airport, archive, and project monitoring data for completeness, consistency, metadata, and site representativeness.
WRF numerical simulations
Configure nested domains for the location and period when measurements are sparse or spatially varying three-dimensional meteorology is required.
Dispersion-model preparation
Process meteorology with AERMET, MMIF, CALWRF, or CALMET into the files required by AERMOD, CALPUFF, and LAPMOD.
Terrain and land-use inputs
Prepare geophysical domains, including CALMET GEO.DAT files and supporting elevation and land-cover maps.
Forecasting and event analysis
Develop operational forecasts, reconstruct weather conditions, investigate complaints or incidents, and identify periods relevant to field work.
Data strategy
Measurements, modeling, or a carefully checked combination.
The best source is not automatically the nearest station or the highest-resolution model. Selection depends on exposure, terrain, coastline, land use, data quality, period, and the atmospheric processes important to the study.
- 01Representative observations
Use quality-assured surface and upper-air measurements where location, exposure, continuity, height, and metadata support the application. - 02Numerical weather simulation
Use WRF where observations cannot resolve the project’s spatial structure, vertical profile, historical period, or complex circulation. - 03Integrated analysis
Compare simulations with measurements and, where appropriate, assimilate or incorporate suitable observations into CALMET. - 04Representative periods
Select years or episodes that satisfy authority requirements and capture the range of conditions relevant to the decision. - 05Proportionate resolution
Choose domain size, nesting, grid spacing, vertical levels, and output frequency according to terrain and modeling scale.
Technical workflow
A traceable route from project question to usable files.
Define the application
Confirm the target model, location, period, domain, resolution, output format, and regulatory or technical requirements.
Review available evidence
Identify observations, numerical products, station metadata, terrain, land cover, coastlines, and project-specific monitoring.
Design the meteorological method
Select observation processing, WRF configuration, local-data integration, and the model-specific preprocessing route.
Process and simulate
Align time conventions, convert formats, run WRF where required, and prepare inputs using the selected processors.
Quality-check results
Inspect completeness, time series, wind distributions, vertical structure, spatial fields, boundary-layer variables, and processing logs.
Document and deliver
Provide structured files, controls, maps, plots, assumptions, data sources, limitations, and integration guidance.
Analysis and visualization
Inspect both temporal behavior and spatial structure.
Summary graphics are not decoration: they reveal calm conditions, directional patterns, local circulations, data gaps, and inconsistencies that can materially affect a study.
Wind and directional analysis
Wind roses, stability roses, joint-frequency tables, calm statistics, temporal filters, circular statistics, and comparisons between sites or periods.
Three-dimensional meteorological fields
Evaluate terrain-driven flow, coastlines, slope and valley winds, vertical structure, mixing height, and other spatially varying conditions.
Model-ready pathways
One meteorological source can support different modeling systems.
The correct deliverable depends on whether the client will run the meteorological preprocessor, needs direct dispersion-model input, or requires a complete three-dimensional field.
- 01AERMET / AERMOD
Onsite and upper-air inputs with AERMET controls, or processed surface.sfcand profile.pflfiles ready for AERMOD. - 02CALMET-ready
WRF-derived three-dimensional3d.datfields, observations where suitable, and geophysical inputs describing terrain and land use. - 03CALPUFF via MMIF
Model-ready meteorological files produced directly from numerical weather output for an MMIF-based CALPUFF workflow. - 04CALPUFF via CALMET
Complete CALMET output for applications requiring non-steady, spatially varying, three-dimensional meteorological fields. - 05LAPMOD
CALMET fields containing the three-dimensional winds and micrometeorological variables used by Enviroware’s Lagrangian particle model.
Study outputs
Files that can be understood, checked, and used.
The package is scaled to the assignment—from a focused wind analysis to a complete multi-year meteorological and geophysical modeling archive.
01Cleaned datasets
Quality-controlled observations, aligned time series, conversions, and documented exclusions.
02Model-ready files
AERMET, AERMOD, MMIF, CALMET, CALPUFF, or LAPMOD inputs as agreed.
03Processing controls
Configuration files, processor inputs, domain settings, run information, and logs.
04Analysis graphics
Wind and stability roses, time series, distributions, maps, profiles, and spatial fields.
05Geophysical inputs
Terrain, land use, GEO.DAT, rasters, vectors, and supporting domain maps.
06Technical note
Sources, methods, checks, assumptions, limitations, and guidance for downstream use.
Applications
Meteorology for environmental and engineering decisions.
The same atmospheric expertise supports more than regulatory dispersion studies. We adapt the variables, statistics, time scale, and presentation to the problem.
Air quality and deposition
Regulatory, advanced, and screening assessments for industrial, transport, construction, and other emission sources.
Odor investigations
Complaint correlation, source-direction analysis, short-term dispersion conditions, field planning, and operational forecasting.
Operational forecasting
High-resolution meteorological systems for odor, emergency response, atmospheric releases, and site decision support.
Event reconstruction
Historical analysis for incidents, litigation, insurance, environmental complaints, and technical investigations.
Wind and design studies
Wind-resource screening, airport runway orientation, architecture, comfort, ventilation, and site planning.
Directional data analysis
Specialist filtering, circular statistics, charting, and engineering metrics using WindRose PRO.
Order modeling-ready meteorological data.
Choose WRF-based products for CALMET, CALPUFF, AERMET, or AERMOD, with custom location, period, domain, and resolution.
Explore MeteoData →Design a meteorological study with us.
We can assess available observations, recommend the processing approach, configure WRF, prepare geophysical inputs, or develop a custom forecast system.
Discuss the requirement →Method selection: authority requirements, data representativeness, project scale, model version, terrain, coastline, and local circulations can all affect the appropriate meteorological method. Resolution alone is not evidence of suitability.
Start with the intended use
Tell us the site, period, target model, and decision.
We will help define the observations, WRF configuration, processing chain, quality checks, and deliverables required for a proportionate and reliable result.