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Cascade model: increasing N represents smaller scales

Cascade model: increasing N represents smaller scales. M(N)=  r g l 3. Probability varies with level. S min.  1.  2. Highest probability and size at each level gives primary size distrib. Cascade model: increasing N represents smaller scales. M(N)=  r g l 3. Probability varies

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Cascade model: increasing N represents smaller scales

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  1. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level Smin 1 2 Highest probability and size at each level gives primary size distrib

  2. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level Smin 1 2 Highest probability and size at each level gives primary size distrib

  3. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level Smin 1 2 Highest probability and size at each level gives primary size distrib

  4. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level Smin 1 2 Highest probability and size at each level gives primary size distrib

  5. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level Smin 1 2 Highest probability and size at each level gives primary size distrib

  6. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level Smin 1 2 Highest probability and size at each level gives primary size distrib

  7. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level Smin 1 2 Highest probability and size at each level gives primary size distrib

  8. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level Smin 1 2 Highest probability and size at each level gives primary size distrib

  9. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

  10. Cascade model: increasing N represents smaller scales M(N)=rgl3 Fp(>T) Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

  11. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

  12. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

  13. Cascade model: increasing N represents smaller scales M(N)=rgl3 1 Probability varies with level Smin 2 Highest probability and size at each level gives primary size distrib

  14. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

  15. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

  16. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

  17. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

  18. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

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