In markwh/bamr: Bayesian AMHG and Manning discharge estimation using SWOT-like river observations

Constraints:

• W < Q < 30000 or f(W)
• 1 < Ao < min(width) * 50
• 0.01 < b < 0.8
• 0.01 < n < 0.15
  • Try 10^(norm(mean = -1.412, 0.3))
• wc = mode(mean(w))
• 0.2 QWBM < Qc < 0.8 QWBM (or use )
  • Look up WBM data

Distributions:

• define A
• sigma_n: make this small (0.05?)
• sigma_w: make this small (0.05?)
• b: get from Park (1977), Ferguson (1986)
  • Try beta(1.5, 1.5)

Dingman Channel:

• approximate r using dH/dW

performance requirements:

• precision on slope, width from SWOT
• SWOT science requirements document

markwh/bamr documentation built on Aug. 7, 2020, 11:52 p.m.