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Robin Hogan

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Title: Robin Hogan


1
A variational scheme for retrieving rainfall rate
and hail intensity
  • Robin Hogan

2
Outline
  • Rain-rate estimated by ZaRb is at best accurate
    to a factor of 2 due to
  • Variations in drop size and number concentration
  • Attenuation and hail contamination
  • In principle, Zdr and fdp can overcome these
    problems but tricky to implement operationally
  • Need to take derivative of already noisy fdp
    field to get Kdp
  • Errors in observations mean we must cope with
    negative values
  • Difficult to ensure attenuation-correction
    algorithms are stable
  • The variational approach is standard in data
    assimilation and satellite retrievals, but has
    not yet been applied to polarization radar
  • It is mathematically rigorous and takes full
    account of errors
  • Straightforward to add extra constraints

3
Using Zdr and fdp for rain
  • Useful at low and high R
  • Differential attenuation allows accurate
    attenuation correction but difficult to implement
  • Need accurate calibration
  • Too noisy at each gate
  • Degraded by hail

Zdr
  • Calibration not required
  • Low sensitivity to hail
  • Stable but inaccurate attenuation correction
  • Need high R to use
  • Must take derivative far too noisy at each gate

fdp
4
Variational method
  • Start with a first guess of coefficient a in
    ZaR1.5
  • Z/a implies a drop size use this in a forward
    model to predict the observations of Zdr and fdp
  • Include all the relevant physics, such as
    attenuation etc.
  • Compare observations with forward-model values,
    and refine a by minimizing a cost function

Smoothness constraints
For a sensible solution at low rainrate, add an a
priori constraint on coefficient a
Observational errors are explicitly included, and
the solution is weighted accordingly
5
Chilbolton example
  • Observations
  • Retrieval

Forward-model values at final iteration are
essentially least-squares fits to the
observations, but without instrument noise
6
A ray of data
  • Zdr and fdp are well fitted by the forward model
    at the final iteration of the minimization of the
    cost function
  • Retrieved coefficient a is forced to vary
    smoothly
  • Represented by cubic spline basis functions
  • Scheme also reports error in the retrieved values

7
What if we only use only Zdr or fdp ?
Retrieved a
Retrieval error
Zdr and fdp
  • Very similar retrievals in moderate rain rates,
    much more useful information obtained from Zdr
    than fdp

Zdr only
fdp only
8
Response to observational errors
  • Nominal Zdr error of 0.2 dB Additional random
    error of 1 dB

9
Heavy rain andhail
Difficult case differential attenuation of 1 dB
and differential phase shift of 80º!
  • Observations
  • Retrieval

10
How is hail retrieved?
  • Hail is nearly spherical
  • High Z but much lower Zdr than would get for rain
  • Forward model cannot match both Zdr and fdp
  • First pass of the algorithm
  • Increase error on Zdr so that rain information
    comes from fdp
  • Hail is where Zdrfwd-Zdr gt 1.5 dB
  • Second pass of algorithm
  • Use original Zdr error
  • At each hail gate, retrieve the fraction of the
    measured Z that is due to hail, as well as a.
  • Now can match both Zdr and fdp

11
Distribution of hail
Retrieved a
Retrieval error
Retrieved hail fraction
  • Retrieved rain rate much lower in hail regions
    high Z no longer attributed to rain
  • Can avoid false-alarm flood warnings

12
Summary
  • New scheme achieves a seamless transition between
    the following separate algorithms
  • Drizzle. Zdr and fdp are both zero use a-priori
    a coefficient
  • Light rain. Useful information in Zdr only
    retrieve a smoothly varying a field (Illingworth
    and Thompson 2005)
  • Heavy rain. Use fdp as well (e.g. Testud et al.
    2000), but weight the Zdr and fdp information
    according to their errors
  • Weak attenuation. Use fdp to estimate attenuation
    (Holt 1988)
  • Strong attenuation. Use differential attenuation,
    measured by negative Zdr at far end of ray
    (Smyth and Illingworth 1998)
  • Hail occurrence. Identify by inconsistency
    between Zdr and fdp measurements (Smyth et al.
    1999)
  • Rain coexisting with hail. Estimate rain-rate in
    hail regions from fdp alone (Sachidananda and
    Zrnic 1987)
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