Difference between revisions of "LlCloud"

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(+example)
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|spec
|spec
|caveats
|caveats
|examples
|examples=<pre>
default
{
    touch_start(integer num)
    {
        llSay(0,"Cloud density:" + (string)llCloud(ZERO_VECTOR));
    }
}
</pre>
|helpers
|helpers
|also_functions=*{{LSLG|llWind}}|notes= How clouds work:
|also_functions=*{{LSLG|llWind}}|notes= How clouds work:

Revision as of 12:11, 30 May 2007

Summary

Function: float llCloud( vector offset );

Returns a float that is the cloud density at the object position + offset

• vector offset

Examples

default
{
    touch_start(integer num)
    {
        llSay(0,"Cloud density:" + (string)llCloud(ZERO_VECTOR));
    }
}

Notes

How clouds work:

  • SL features a cellular automata-based weather system.
  • There are 16x16 square cloud "cells" per sim (which means each is 16x16m in size).
  • The cloud density data is sent from the server to the client once every time the agent connects to a simulator via logging in or teleporting into a simulator.
  • The client attempts to render clouds from the cloud algorithm results sent from the server, which is why different clients can see different cloud formations and de-synchronizes cloud view from the server over time.
  • The Z value in the vector is irrelevant (clouds are always between about 180-200m absolute height).
  • It returns a value between 0.0 and 1.0, with 0.0 being no clouds, and 1.0 very dense clouds.
  • Values returned above 1.0 - 2.0 indicate rainfall, but the option for rain is not currently implemented so values are capped at 1.0.
  • Clouds and wind are related.


The cloud seed/growth/dissipation algorithm uses a solenoidal vector field, which is a vector field with zero-divergence: nabla dot v = 0

This condition is satisfied whenever v has a vector potential, because if v = nabla times A then nabla dot v = nabla dot (nabla times A) = 0.

See Also

Functions

Deep Notes

Search JIRA for related Issues

Signature

function float llCloud( vector offset );