Difference between revisions of "LlCloud"
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{{LSL_Function|func_id=43|func_sleep=0.0|func_energy=10.0|func=llCloud|return_type=float|p1_type=vector|p1_name=offset|func_footnote | {{LSL_Function|func_id=43|func_sleep=0.0|func_energy=10.0 | ||
|return_text=that is the cloud density at the object position + offset | |func=llCloud|sort=Cloud | ||
| | |return_type=float|p1_type=vector|p1_name=offset | ||
|func_footnote | |||
|return_text=that is the cloud density at the object position + '''offset''' | |||
|spec | |||
|caveats | |||
|examples | |||
|helpers | |||
|also_functions=*{{LSLG|llWind}}|notes= How clouds work: | |||
* SL features a cellular automata-based weather system. | * SL features a cellular automata-based weather system. | ||
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The cloud seed/growth/dissipation algorithm uses a solenoidal vector field, which is a vector field with zero-divergence: nabla dot v = 0 | 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. | 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. | ||
|cat1 | |||
|cat2 | |||
|cat3 | |||
|cat4 | |||
}} |
Revision as of 07:32, 10 February 2007
LSL Portal | Functions | Events | Types | Operators | Constants | Flow Control | Script Library | Categorized Library | Tutorials |
Summary
Function: float llCloud( vector offset );43 | Function ID |
0.0 | Forced Delay |
10.0 | Energy |
Returns a float that is the cloud density at the object position + offset
• vector | offset |
Caveats
Examples
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.