VANE
Explore large ensembles of multivariate weather data using multiple climate criteria to identify years of interest for your controlled environment experiments.
VANE supports interactive screening of large climate ensembles so that users can identify specific years or weather sequences that satisfy precise, multivariate statistical targets. By combining very large ensemble samples with flexible criteria, the tool makes it possible to pinpoint plausible years that match the scope and scientific question of a controlled environment experiment.
Criteria can be composed from a library of presets or built freely with quantile thresholds across daily temperature, precipitation, wind, humidity, radiation and derived indices such as vapour-pressure deficit (VPD), reference evapotranspiration (ET0), daily light integral (DLI) and diurnal temperature range (DTR). Time windows can be anchored to months or weeks with adjustable tolerance, and candidate years are ranked by a composite fit score together with per-criterion diagnostics including the binding constraint.
The demonstration dataset uses 400 years drawn from a 5,000-year Hasselt case-study. The original series were produced with SAGE and futurized with DELPHI using a Global Warming Level methodology. The screening logic preserves the desktop implementation and has been verified for numerical parity. Empirical return periods are computed over the shipped sample and therefore saturate at approximately 1-in-400. The hourly inspection view, CSV export and hourly robustness indicator, as well as some other features, are not included in this demonstration.