Workshop 1



Flux Algorithms - Monday 2:00 pm, August 16, 1999


Panel: C. Fairall, C. Clayson, M. Bourassa, X. Zeng, J. Redelsperger, A. Beljaars, P. Taylor

Moderator: T. Liu

Flux algorithms basically link turbulent fluxes to mean observations

C. Fairall

Outstanding issues in bulk algolrithms:

  • representation in volume-average models - PBL vs. meso-scale, precipitating systems

  • light winds - convective scaling limit, stably stratified

  • strong winds - 'Charnock' constant, problems at high winds

  • wave issues

Lack of measurement at high winds, stable conditions has hampered out understanding.

Described the COARE bulk flux algorithm 2.6, and recent modifications that include mesoscale gustiness and modified Charnock constant at higher wind speeds

Questions - Are stability functions over land applicable to ocean? Probably, but they have never been measured over ocean.




C. Clayson:

Need to test models across the complete parameter space. Particular issues that need more focus:

  • Mesoscale gustiness

  • High wind speeds

  • Wave effects

Bulk algorithms are in pretty good shape for moderate wind speeds and unstable conditions




X. Zeng:

We have published our work on algorithm development and extensive algorithm intercomparisons. We are currently working on the development of a comprehensive flux algorithm that includes the mesoscale impact of precipitation and clouds at various spatial and temporal scales.

Discussed intercomparison of six algorithms that are widely used in forecasting, reanalysis, and research, and its relevance to generating global ocean surface fluxes.

  • differences in bulk algorithm result in different ocean fluxes

  • algorithms differ in details, particularly treatment of salinity, boundary layer gustiness, different turbulent shcemes, different equations for surface roughness



S. Planton:

Discussed Redelsperger's work on gustiness parameterization. Unobserved variability associated with fronts and other mesoscale features give rise to variations in input parameters for bulk models. Also discussed sampling errors due to the unobserved variability, which impacts comparison between models and in situ measurments.




M. Bourassa:

Several Considerations in Modeling Fluxes :

  1. Wind-Wave Equilibrium

  2. Rising and Falling Seas (Departures from Equilibrium)

  3. Wave-Wave Interaction

  4. Directional Considerations: Observations show differences in directions of wind and wave propagation canhave a large systematic impact! Non isotropic roughness length

  5. Dodging the Issue of Sea State: Fluxes based on nontraditional wind products such as scatterometers bypasses the sea state problem.



A. Beljaars:

Strong sensitivity to the air-sea flux algorithm has been demonstrated in the ECMWF models in the past. At that time the ECMWF algorithm was rather far away from observations for low as well as high winds. Most current algorithms are rather similar. Remaining issues are: effect of waves, skin temperature, currents and meso-scale variability. Incorporated Webster et al. Diurnal skin sst algorithm, but didn't have a large effect on the model.

Conclusions: ECMWF model has 2 problems: (i) marine boundary layer is too dry (shallow convection and/or boundary layer problem), and (ii) the parametrization and the model lack meso-scale variability.

  • difference between skin temp and SST does not heavily impact model

  • effects of waves, cool/warm skin should be included in models but impact will probably be small

Questions - ECMWF answer regarding diurnal variability is only one answer, and ECMWF model does not respond strongly to SST anomalies (Webster).

Deficit of energy at small scales which are the ones that SST changes would impact may be reason for this (Rossow).




P. Taylor:

  • an alternative to wave age-ism

  • scale zo by wave slope (rather than wave age). Scaling with charnock parameter and wave length is not correct

  • swell decreases roughness of sea surface

This parameterization explains why we do not detect changes of Cd10n with age

Questions:

  • How much wind stress data above 18 m/s? Only a few hundred points.
  • What happens at winds below 7 m/s? Not sure how low you can take this down to. Noise problem becomes unwieldy at wind speeds less than 6 m/s.



DISCUSSION

Curry: We've heard about lots of problems and it seems algorithms may not be biggest problem at this point. What are big problems? High wind, gustiness? What are priorities?

Answer: Depends on where you are in parameter space for starters. The issue that is more important than problems with flux algorithms is what you provide algorithms, measuring specific humidity and wind speed in particular.

Rossow: Should be leery of using what GCM will respond to to define what we go after.

List of Problems:

  • Stable regime

  • High wind speeds

  • Effects of currents

  • Mesoscale gustiness