Temperature
Long-term air temperature statistics support thermal exposure, heat hours and climate-zone interpretation.
Why ERA5 is suitable for environmental exposure intelligence.
Climetry uses long-term atmospheric reanalysis and independent weather-station comparisons to derive representative exposure metrics for durability, corrosion, humidity and condensation screening.
Read MethodologyERA5 provides a consistent global climate basis.
Climetry uses ERA5 because it is one of the world's most widely validated atmospheric reanalysis datasets. Numerous independent studies have demonstrated good agreement for long-term temperature and humidity statistics, while local deviations mainly occur in complex terrain and during extreme weather events. Climetry therefore derives representative long-term environmental exposure metrics instead of predicting individual weather events.
This makes ERA5 useful for engineering screening where the relevant question is usually not what happened during one specific hour, but what environmental conditions a product or asset is likely to experience over a representative period.
Independent validation studies
The evidence is strongest for climatological statistics.
Independent ERA5 studies commonly compare reanalysis outputs with station observations, radiosondes, gridded datasets and regional measurement networks. The strongest use case for Climetry is long-term thermodynamic representativeness: monthly means, annual means, humidity distributions and environmental exposure conditions.
Climetry does not treat ERA5 as a local sensor. It treats ERA5 as a physically consistent climate baseline from which durable-product exposure indicators can be derived.
Dew point
Dew point is central for moisture content, dew-point spread and condensation-potential screening.
Relative humidity
Humidity statistics support RH80, RH90, wetness and corrosion-relevant environmental loading.
Climetry weather-station comparison
ERA5 thermodynamics are compared with Meteostat airport observations.
Climetry uses public long-term airport weather station observations from Meteostat to compare ERA5 thermodynamic variables across multiple climate regions. The comparison evaluates consistency for environmental climatology, not event-level reproduction.
The current pilot focuses on air temperature, dew point and relative humidity. Corrosion, condensation, CE classes and exposure hours are evaluated separately once the CEY workflow is complete.
| Variable | RMSE | Interpretation |
|---|---|---|
| Temperature | 1.15 C | High agreement |
| Dew point | 1.20 C | High agreement |
| Relative humidity | 5.48 %-points | Good agreement |
These comparisons evaluate long-term environmental representativeness.
They do not claim that ERA5 reproduces every local weather event, short storm, sensor microclimate or site-specific urban effect.
Known limitations
Reanalysis data is not a substitute for every local measurement.
Climetry characterizes long-term environmental exposure rather than local weather extremes. Like all reanalysis products, ERA5 may show reduced accuracy in complex terrain, dense urban canyons, or during rapidly evolving local weather events. For engineering qualification, however, long-term exposure statistics are typically more relevant than individual weather events. Climetry therefore derives representative climate exposure metrics from multi-year datasets and validates key variables against independent weather station observations.
Complex terrain
Mountains, valleys and steep elevation gradients can create local conditions that differ from the ERA5 grid-cell average.
Urban microclimates
Dense urban canyons, heat islands and local shading can shift site conditions compared with regional atmospheric data.
Extreme events
Rapid storms, local flooding, facility-specific wetting and short extremes are not the primary target of Climetry exposure metrics.
Use Climetry as exposure evidence, not as a failure prediction.
Climetry supports screening, qualification planning and environmental severity interpretation. It helps engineers identify humidity, condensation, marine, pollution and thermal exposure mechanisms before deployment.
The results should be interpreted together with product design, materials, enclosure concept, operating profile, field history and applicable qualification standards.
Frequently asked questions
Does Climetry predict individual weather events?
No. Climetry characterizes representative long-term environmental exposure. It is designed for durability screening and engineering interpretation, not short-term weather prediction.
Why does Climetry use ERA5?
ERA5 provides global, physically consistent long-term atmospheric reanalysis data. It is widely used in climate and engineering workflows and is suitable for deriving climatological exposure statistics.
What does the Meteostat comparison show?
The Meteostat comparison checks ERA5 thermodynamic variables against long-term airport weather station observations. It evaluates agreement for climatological statistics rather than individual weather events.
What are the main limitations?
Local deviations can occur in complex terrain, dense urban canyons, near sharp coastal transitions and during rapidly evolving local weather events. Site measurements remain valuable for final qualification.
Is this a validation of product lifetime?
No. The comparison supports environmental representativeness. It does not predict product lifetime, failure probability or customer-specific field performance.