Mesoscale Atmospheric Systems Ocean evaporation Stephan Pfahl 9 May 2017 1 Atmospheric water cycle The global water cycle following Baumgartner and Reichel (1975). Annual values are in units of 103 km3 year-1. From Bengtsson (2010). 2 Atmospheric water cycle The global water cycle following Baumgartner and Reichel (1975). Annual values are in units of 103 km3 year-1. From Bengtsson (2010). 3 Parameterization of ocean heat fluxes Fluxes at the ocean-atmosphere interface: where < > denotes the time mean value Reynolds decomposition: e.g., zonal wind <U> + u temperature <T> + t Cp specific heat at constant pressure of dry air LE latent heat of evaporation 4 Parameterization of ocean heat fluxes Stability theory (Monin-Obukhov): Mean gradients are universal functions of stability parameter z/L where u*, T*, q* are scaling parameters: 5 Parameterization of ocean heat fluxes L is the so-called Obukhov length - and z/L is the only free (dimensionless) stability parameter in M-O similarity theory The so-called similarity functions must be empirically determined – they are “fits to measurements”, which is particularly difficult over the ocean during strong winds! 6 Parameterization of ocean heat fluxes In atmospheric models surface layer is only “represented” by the lowest model level (typically at a height of 10-50 m). Therefore the surface fluxes must be expressed as a function of the model parameters at this reference height zR: z0a CaN denotes the so-called roughness length for the quantity a is the drag coefficient for the quantity a during neutral conditions, i.e., dθ/dz = 0 (note the alternative notation: <T> + t = T + T’ ) 7 Parameterization of ocean heat fluxes For non-neutral conditions the drag coefficient, e.g., for temperature becomes where, e.g., is the integral of the similarity function This yields for the oceanic fluxes of heat ~ CH <U>(zR) [ <T>0 – <T>(zR) ] moisture ~ CQ <U>(zR) [ <Q>0 – <Q>(zR) ] à fluxes are large if winds are strong and if large temperature/humidity difference exists between sea surface and lowest atmospheric layer; drag coefficients depend on stability parameter z/L (they become smaller for stable conditions) 8 Surface heat fluxes HL DJF HL JJA HS DJF HS JJA 9 Instantaneous latent heat flux (evaporation) 18 UTC 04 Aug – 00 UTC 05 Aug 2008 10 Instantaneous latent heat flux (evaporation) 06 UTC 05 Aug – 12 UTC 05 Aug 2008 11 Instantaneous latent heat flux (evaporation) 00 UTC 12 Sept – 06 UTC 12 Sept 2008 12 Instantaneous latent heat flux (evaporation) 12 UTC 19 Oct – 18 UTC 19 Oct 2008 13 Parameterization of ocean heat fluxes How accurate is the similarity approach? Fairly OK – but large uncertainties associated with both measurements and parameterization 14 Sensible and latent heat fluxes in cyclones Study by Persson et al. (2005) with measurements from the FASTEX field experiment in 1997 onboard the ship RV Knorr measurements of wind, temperature, humidity with very high temporal resolution è direct observations of <W> and w, ... è fluxes from both <wq> (“eddy covariance”) and <Q>0 – <Q>(zR) (“bulk”) 15 Sensible and latent heat fluxes in cyclones Measurements during 1 month in regions with cold/warm SSTs 16 17 Sensible and latent heat fluxes in cyclones Unique aspect: measurements during strong winds (> 15 m/s) 18 Sensible and latent heat fluxes in cyclones Measurements during passage of cyclonic systems à Observations of fluxes and basic meteorological parameters in warm sector, during frontal passage and in post-frontal air 19 Sensible and latent heat fluxes in cyclones Front-normalised composites of T, q, wind speed & direction cold sector warm sector 20 Sensible and latent heat fluxes in cyclones Front-normalised composites of sensible and latent heat flux Sensible heat cov Latent heat cov Sensible heat bulk Latent heat bulk 21 D04106 Sensible and latent heat fluxes in cyclones Study by Yuan et al. 2009 (JGR), analysing cyclones and surface fluxes in the southern ocean based on reanalysis and satellite data YUAN ET AL.: SOUTHERN OCEAN MIDLATITUDE CYCLONE STATISTICS, 2 D04106 negative Figure 5. Example of the calculation of fluxes associated with a cyclone,values: 5 Januaryupward 2003, 1200flux UTC. The minimum pressure location is indicated with a black dot. The size of the cyclone is indicated with a circle. (c, d) pressure Solid lines are positive (a)composite The contours are of 4-hPa isobars. cyclones, (b) The contour centred interval is 0.4over N m!2.low many contours, dashed lines are negative contours, and bold lines are zero contours. minimum ividual cyclone. An example is shown in Figure 5. Figure 5a 22 example of an 8-day cyclone appearing in the lee of the t the The depth and radius of the storm reach their maximum on obar. day 7. The modified pressure fields suggest slightly deeper sted lows along the track except in three instances. They also w the suggest a longer track, extended by one synoptic period at ove. the beginning and two periods at the end. The corresponding their flux integrals are shown in Figure 8. The spatial integral in ape. Figure 8 (left) provides a quantitative estimate of the contriorm, bution of the storm to the fluxes of momentum and heat into Study Yuan et al.by2009 (JGR), analysing cyclones and surface mum the ocean. By by dividing the contributions the area of the neral storm (Figure 8, right), obtains an estimate of theocean average fluxes inonethe southern based on reanalysis and satellite rom intensity of the fluxes inside the storm at each step of the ating storm life cycle. For example, in Figure 8a, the integrated data The D04106 YUAN ET AL.: SOUTHERN OCEAN MIDLATITUDE CYCLONE STATISTICS, 2 D04106 f the cean e on rom heat) cheg the heat sentoutonic as of oxition antly milar t the sible ean, Sensible and latent heat fluxes in cyclones g an the Figure 5. Example of the calculation of fluxes associated with a cyclone, 5 January 2003, 1200 UTC. The minimum pressure location is indicated with a black dot. The size of the cyclone is indicated with a circle. (a) The are 4-hPa isobars. (b) The contour interval is 0.4 N m!2. (c, d) Solid lines are positive Figure 6. contours Idealized Southern Ocean midlatitude cyclone. contours, dashed lines are negative contours, and bold lines are zero contours. 23 8 of 18 Sensible and latent heat fluxes in cyclones Conclusions - In the warm sector differences between the atmosphere and sea surface in terms of T and q are small, which leads to weaker fluxes than outside the warm sector. - Sensible heat fluxes in the warm sector are downward, latent heat fluxes upward. - The upward LHF in the cyclone region is believed to be important for the intensification of cyclones, as the moisture might contribute to latent heating. 24
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