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Difference between revisions of "EclipseLink/Examples/Radar"

(API)
(Design Issues)
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*We therefore need 12 Gb storage / year / site.  A standard 2Tb drive which is around the effective limit of most databases will hold 169 years of data (disregarding compression gains and error handling losses).  We should be able to hold our goal of 10 years of radar data for 16 sites comfortably.
 
*We therefore need 12 Gb storage / year / site.  A standard 2Tb drive which is around the effective limit of most databases will hold 169 years of data (disregarding compression gains and error handling losses).  We should be able to hold our goal of 10 years of radar data for 16 sites comfortably.
 
*This assumes we store raw data without gps coordinates, we may want to only store colored pixels in data or gif format.
 
*This assumes we store raw data without gps coordinates, we may want to only store colored pixels in data or gif format.
 +
===DI10: Determine color codes for Radar===
 +
===DI11: Determine color codes for Satellite===
 +
===DI12: Determine color codes for Lightning===
 +
===DI21: Filter and Preprocess Radar Images===
 +
===DI22: Filter and Preprocess Satellite Images===
 +
===DI23: Filter and Preprocess Lightning Images===
 +
 
==References==
 
==References==
 
===Radar Sites:===
 
===Radar Sites:===

Revision as of 09:10, 5 October 2011

Application

359333

Requirements

R1: Determine layered GIS data for rainfall distribution at 1km resolution @ 200 km range

R2: Provide historical data

R2.1: Provide volumentric data per GPS position

R3: Provide 30 min prediction window

R3.1 Extend prediction window by including surrounding area weather

R4: Provide present status per GPS position

R10: Provide live consolidated view

R11: Provide query interface

Design Issues

DI1: Database: Derby or Oracle GIS/SDO aware?

DI2: Database Expected Volume

  • There are 14 levels of rainfall represented by color bands from purple to light blue. If we include the ground color (green-grey), rivers (navy) and borders (black) we have 17 levels. We also want to encode (null/unset/no-data) as white or -1 - this gives us 18 levels which fits in a single 8 bit byte.
  • There are approximately 500x480 pixels at 1km resolution which works to 234Kb decoded.
  • We expect 24 x 6 = 144 images / site / day, which comes to 234Kb x 144 = 34Mb / day / site.
  • We therefore need 12 Gb storage / year / site. A standard 2Tb drive which is around the effective limit of most databases will hold 169 years of data (disregarding compression gains and error handling losses). We should be able to hold our goal of 10 years of radar data for 16 sites comfortably.
  • This assumes we store raw data without gps coordinates, we may want to only store colored pixels in data or gif format.

DI10: Determine color codes for Radar

DI11: Determine color codes for Satellite

DI12: Determine color codes for Lightning

DI21: Filter and Preprocess Radar Images

DI22: Filter and Preprocess Satellite Images

DI23: Filter and Preprocess Lightning Images

References

Radar Sites:

Links

API