Engineering before meteorology
Climate information should support engineering decisions, not simply describe the weather.
Why Climetry exists.
Climetry was created to bridge the gap between reliable climate data and practical engineering decisions for product durability, qualification and environmental exposure assessment.
Analyze a LocationFrom climate data to engineering decisions.
My name is Okley Wadim, and I founded Climetry after repeatedly encountering the same challenge during more than 15 years of industrial engineering work.
I studied Aerospace Engineering, and throughout many years of engineering practice, one recurring challenge became apparent: reliable climate data was readily available, but turning it into practical engineering decisions remained surprisingly difficult.
My technical background includes fluid dynamics, numerical simulation, CFD and finite-volume methods, with academic work on convection-dominated flow problems where transport effects strongly exceed diffusion. Before moving into industrial engineering, I also worked in atmospheric research for several years. This background directly informs Climetry's work on environmental transport models for marine chloride, pollution and atmospheric exposure.
Engineers often had to combine weather datasets, engineering standards, scientific literature and their own experience before they could even begin evaluating environmental exposure.
Climetry was created to bridge that gap.
Rather than presenting weather data, the goal is to provide engineers with climate information in a form that directly supports product qualification, material selection, environmental testing and engineering risk assessment.
Engineering Principles
Built around engineering use, traceability and reproducibility.
Climetry is built around a small number of engineering principles. The platform is designed for durability screening and qualification support, not weather browsing or failure prediction.
Transparent methodology
Every engineering metric is traceable to documented data sources and published calculation methods.
Reproducible results
The same location should always produce the same engineering exposure assessment using transparent assumptions.
Scientific foundation
Climetry builds upon established scientific datasets rather than proprietary weather observations.
Practical engineering outputs
The objective is not to predict product failures, but to provide reliable environmental exposure information that supports engineering judgement throughout product development.
Engineering judgement, not failure prediction
Climetry supports environmental design decisions by making exposure conditions explicit, comparable and traceable.
Built on Open Science
Scientific datasets, engineering post-processing.
Climetry combines internationally recognised scientific datasets, including ERA5 reanalysis and CAMS atmospheric data, with proprietary engineering post-processing to derive engineering exposure metrics.
The value of Climetry does not lie in replacing scientific climate data. It lies in translating complex environmental information into engineering-relevant exposure characteristics that can be used during design, qualification and reliability assessments.
All assumptions, methodology and limitations are documented transparently.
Data to exposure workflow
ERA5 / CAMS / coastline context
Long-term atmospheric and environmental context.
Climetry post-processing
Representative years, exposure-hour statistics, environmental classes and engineering reports.
Engineering interpretation
Screening evidence for qualification, material selection and deployment planning.
A common engineering language for environmental exposure.
Climetry is an independent engineering software platform focused on Engineering Climate Intelligence.
The long-term vision is to establish a common engineering language for environmental exposure, making climate information as practical and actionable as thermal, structural or material data.
As the platform evolves, new engineering models, exposure metrics and representative climate datasets will continue to be added, always with the same objective: helping engineers make better environmental design decisions through better climate intelligence.