Skip to content

New Experimental Features and some minor Changes

Choose a tag to compare

View all tags
@mawinkler mawinkler released this 13 Jan 08:58
v0.75.0
d92a7e6

0.75.0 (2026-01-13)

Fixes

  • Handling of connection errors at start up.

Changes

  • You can now adjust the weights for condition calculation in between 1.100 which allows more granular adjustments. I'm using
    • Clouds: 80
    • Fog: 50
    • Seeing: 20
    • Transparency: 20
    • Calmness: 50

New

Ask: If the currently experimental calculations improve the results for you, please provide feedback by creating an issue or emailing me. See below.

  • New methods have been implemented for estimating seeing, magnitude degradation, lifted index, and fog density. To use these methods, activate "Experimental Features" in the configuration flow.
    • Lifted Index calculates a rough Lifted Index (LI) proxy in °C. Real LI requires an environmental temperature profile (a sounding).
      With only surface data, we:
      • Estimate station pressure from sea-level pressure + altitude.
      • Estimate LCL temperature using a common approximation.
      • Estimate parcel temperature at 500 hPa via:
        dry-adiabatic to LCL, then a simplified moist-adiabatic adjustment.
      • Estimate environmental temperature at 500 hPa using a standard lapse proxy.
    • Magnitude Degradation:
      • Transparency -> mag uses a physically meaningful transform:
        mag_loss ≈ -2.5 * log10(transparency)
      • Uses improved LI + seeing as modifiers.
      • Keeps output bounded by MAG_DEGRATION_MAX.
      • Uses humidity haze risk, blowing aerosols, clouds quickly dominating, air unstability by lifted index, and seeing.
    • Seeing calculates a rough seeing estimate in arcseconds, tuned to behave more like common forecast products (e.g., meteoblue) in terms of directionality. Still a heuristic: with only surface inputs one cannot model free-atmosphere seeing.
      • Uses stable, bounded mapping driven by:
        • wind (mechanical turbulence),
        • dewpoint depression & RH (near-surface stability / saturation),
        • cloud cover (proxy for active layers),
        • altitude (usually helps boundary-layer seeing).
    • Fog density calculates a 0..1 "fog likelihood/density" proxy.
      • Uses dewpoint depression (T - Td) + RH with a logistic curve (stable).
      • Stronger penalty for wind mixing (fog dispersal).
      • Handles edge cases (negative RH, etc.) safely.
Assets 2
Loading