How climbability is predicted.

CondiScore is a compact 0-100 signal for how promising a crag looks right now. It interprets forecast data, recent weather memory, and terrain context specifically for climbing conditions. Find out here how it is computed.

Each crag is special and unique. The score is built around that.

CondiScore blends hyperlocal meteorological inputs with terrain-aware interpretation. Exposure, shade, forest cover, wet, cold, windy, humid, or sun-loaded a place is likely to be, then compress that messy reality into one readable signal.

01 Terrain Leaves Fingerprints

Tree cover, openness, vegetation, slope position, and wall exposure change how fast rock dries and how quickly it heats up.

02 Weather Has Memory

Rain, humidity, snow, and air mass changes do not reset at midnight. The score tracks what the rock may still remember.

03 Your opinion matters

Condition reports help judge whether the model understood the place correctly, especially in small and weird microclimates.

Score Range

One number, a million opinions.

The CondiScore is not a promise. View it more as a ranked condition signal: higher means the current setup looks more favorable for dry rock, usable friction, and a worthwhile session.

0-19 Terrible
20-39 Poor
40-59 Mixed
60-74 Good
75-84 Very good
85-94 Excellent
95-100 Perfect
01 Terrain

The landscape around the crag is important.

NASA and ESA satellite observations, together with other remote-sensing methods, help describe the local environment around each climbing location. This is where generic weather becomes place-aware condition modelling.

Canopy and tree structure. Forest cover, tree height, and shaded pockets can slow drying, soften temperature swings, and trap humidity after wet episodes.

Openness and exposure. Open crags usually dry faster, but they can also receive more sun and heat. Shelter and exposure are not simply good or bad.

Land cover and vegetation. Rock, meadow, forest, urban surfaces, and dense vegetation all exchange heat and moisture differently.

Heat reception. The model estimates how strongly a location tends to catch warmth from sun angle, terrain shape, and sky exposure in plain climbing terms: will it bake, stay cool, or sit somewhere between?

02 Weather

The score is built around physical climbing instincts.

Climbers already know many of these rules from experience. CondiScore turns them into a structured interpretation.

Rain has memory

Rain four days ago may no longer matter on an exposed wall. Rain yesterday can still dominate a shaded pocket.

Humidity is a friction killer

High relative humidity can make conditions feel poor even when the forecast shows no fresh rain.

Temperature has an optimum

Cool conditions are usually helpful, with a sweet spot in crisp temperatures. Heat gets bad fast.

Radiation is conditional

Sun on rock might not be bad when the ambient air is cold, but it might overheat exposed stone when the air is already warm.

Wind is mostly useful

Wind helps drying and cooling, especially at low to moderate speeds. It also changes how moisture leaves nearby vegetation and surfaces.

Terrain is interactive

Exposed crags, cloud cover, and forested crags respond differently. A drizzle event does not mean the same thing everywhere.

Air mass state matters

The arriving air is tracked as dry, cold, warm, or moisture-loaded using a compact temperature-and-humidity signal.

Dew point can flip the day

If rock temperature falls into the condensation zone, conditions can collapse even without new precipitation.

Snow cover is a hard warning

Cold, dry snow is not always equally harmful. Melting snow near or above freezing is a very different story.

03 Feedback

Your reports make the score sharper.

The most valuable weather station is sometimes a climber standing under the wall. If the score was right, wrong, too optimistic, or weirdly pessimistic, that is useful signal.

Good reports matter. Reports are useful when the rock was dry, sticky, surprisingly wet, greasy, snowy, or better than expected.

Bad reports matter too. A forecast miss is not embarrassing data. It is exactly the kind of information that improves the next version.

Microclimates need witnesses. Small cliffs, forest edges, and exposed ridges can behave differently from the closest valley weather station.

Climber Loop

This model benefits from your participation.

Whenever you are at the rock, condition reports can capture what the conditions were like. Good or bad, matching the forecast or totally disagreeing with it: your input helps CondiScore learn from real climbing days and improve over time <3

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