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(Terrain Elevation Rendering)
(WRF Data Extraction)
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== WRF Data Extraction ==
 
== WRF Data Extraction ==
 +
path scripts to generate fields
 +
  /home/jvictorino/wrf/scripts
 +
path fields data generated
 +
  /home/jvictorino/wrf/wrf_data
 +
4D fields generated {lats 287, lons 280, levs 34, times 265}:
 +
* tempXX.dat: temperature
 +
* PsXX.dat: pressure
 +
* UXX.dat: Meridional component of wind
 +
* VXX.dat: Zonal component of wind
 +
* WXX.dat: Verical component of wind
 +
3D fields generated {lats 287, lons 280, times 265}:
 +
* relhum.dat: Relative Humidity
 +
* raina.dat: acummulated rain
 +
* cldfrac.dat: cloud fraction
 +
 
* [[ASAR_Data_Characterization]]
 
* [[ASAR_Data_Characterization]]
  

Revision as of 12:13, 20 August 2013

Contents

WRF Data Extraction

path scripts to generate fields

  /home/jvictorino/wrf/scripts

path fields data generated

  /home/jvictorino/wrf/wrf_data

4D fields generated {lats 287, lons 280, levs 34, times 265}:

  • tempXX.dat: temperature
  • PsXX.dat: pressure
  • UXX.dat: Meridional component of wind
  • VXX.dat: Zonal component of wind
  • WXX.dat: Verical component of wind

3D fields generated {lats 287, lons 280, times 265}:

  • relhum.dat: Relative Humidity
  • raina.dat: acummulated rain
  • cldfrac.dat: cloud fraction

Terrain Elevation Rendering

Data source: ASTER_GDEM

Dem1.png

Demo versión 0.1 de Render de elevación del terreno en los cerros orientales de Bogotá, resolución 30 metros, región de 5.4 Km x 5.4 Km. Usando OpenGL.

Field1.png

Temperature 3D, 5 layers, selected region.

Physically-based Cloud Generation

TODO List

  • Propose a model for cloud generation based on single cells in a simulation domain (WRF)