3.2.6 Air-Sea interactions and coupled ocean-atmosphere response on TIVs (Bourras, Menkes, Eymard, Richards, Vialard, Weill). * Data analysis. Air-sea interactions will be studied on the basis of in situ flux measurements performed onboard l’Atalante. Turbulent fluxes will be derived using eddy correlation and inertial dissipation techniques (Dupuis et al. 1997, Weill et al. 2002). The purpose of the flux measurements is twofold, namely improving bulk flux parameterizations and validating satellite flux products. # Flux Parameterizations Bulk parameterizations are reasonably accurate at wind speeds ranging from 4 to 8 m/s, and in near neutral conditions. However, several aspects of the Monin and Obukhov theory (bulk theory) such as the value of the drag coefficient at low wind speeds, its relation to stability, sea state, and even biology, or the effect of horizontal heterogeneity on the calculation of the fluxes are still open questions. The sea experiment will provide a very good opportunity to work on these subjects for two reasons. Not only MATI will be ideally located for having low winds (Tropics) as well as sea state and stability variations (presence of large SST gradients), but it will most of all occur at a time when the French workgroup on air-sea fluxes has made considerable improvements in interpretation of data and validation of the flux instruments. Indeed, the effect of flow distortion around the body of the ship on measured winds and fluxes is better understood after the works of Nacass et al. (2002), and Butet et al. (2002) on data of the FETCH experiment. Next, the INSU refractometer (developed at CETP), from the measurements of which specific humidity fluctuations are derived, was recently upgraded and is now fully operational as revealed by a validation campaign conducted at the Wharf de la Salie, France, in November 2003 (CAMPINTER, Weill et al. in preparation). A new technique is being developed at CETP for deriving sea state estimates for ship heave observations inferred from an inertial platform (Hauser et al. 2001, Schulz et al. in preparation). This technique should be applied to MATI data. The estimates should be compared (for validation) to sea state data measured by a SPEAR buoy. The resulting sea state estimates will be used for creating a bulk parameterization of the fluxes. Sea state will also be a subject of study through its link with biology. It is hypothesized that the presence of plankton can modify the mechanical properties of the sea surface such as surface tension, which in turn would affect the characteristics of waves (at low wind speeds). During MATI, the amount of plankton will be measured, and the relationship between plankton and sea state will be investigated. The impact of horizontal heterogeneity in wind, temperature, and humidity on the calculation of bulk fluxes will be another field of investigations. Indeed, horizontal homogeneity of the mean flow is one of the fundamental hypotheses of the Monin-Obukhov theory that is often violated when fluxes are calculated. That is, bulk fluxes should not be calculated when horizontal gradients of wind, temperature, and humidity are different from zero. Geernaert (2003) started to address this issue, but his study was restricted to the impact of varying fetch on the drag coefficient, in coastal areas. Since strong SST, wind, and air temperature gradients systematically occur in the vicinity of TIVs, their impact on fluxes will be investigated when the ship crosses SST fronts (section xx). # Satellite derived fluxes Specific satellite flux products will be developed for the tropics. Next, these flux products will be validated against flux measurements performed onboard L’Atalante. In order to derive net heat flux fields from satellite sensor data, several retrieval algorithms can be used (Jones et al, 1999, Schulz et al. 1997, Bourras et al. 2002, and LeHugeur 2003). The main weakness of the flux algorithms in the tropical areas is that they use as inputs a combination of measurements from several instruments, including space-borne microwave and infrared radiometers. The latter sensors are extremely sensitive to the cloud amount, while the former are sensitive to the water vapor and/or liquid water content in the atmosphere. Consequently, the existing algorithms will be adapted to the specific conditions of the tropics. Part of the improvements planned are already described in Bourras (2003, PNTS proposal). In the context of MATI, they consist in modifying retrieval algorithms of qA, latent heat flux, and sensible heat flux. For qA, the synergistic use of microwave and infrared sensors will be investigated, as already successfully initiated by Wick (2003) and Porcu et al. (1999). For the latent heat flux, the Bourras et al. (2002) algorithm, which is based on a neural network, will have its coefficients optimized for the tropics (TAO data will have a large weight in the learning dataset). Finally, the sensible heat flux algorithm of LeHugeur (2003) will use the improved qA algorithm (above), and its coefficients (cooling rate, vertical flux gradient) will be fitted to TAO data. * Modeling aspects There are numerous evidences that TIWs affect the organization of the atmospheric boundary layer (e.g. Hashizume et al., 2002). However, the process through which the atmosphere responds to the SST gradients is still a topic of active research, as one can not firmly state whether it is based on the effects of pressure gradient forces or horizontal gradients of turbulent mixing (e.g. Lindzen and Nigam, 1987, Hashizume et al. 2002, and Cronin et al., 2003). The validity of both assumptions will be investigated. In this goal, radiosonde data will be launched from l’Atalante, for studying the dynamical vertical structure of the boundary layer. Additionally, the three dimensional structure of the MATI IOP will be reconstructed by using an atmospheric model (MM5, Dudhia 1993) in which satellite data as well as analyzed SST fields will be assimilated. Marked TIW variability in the atmosphere (Chelton et al., 2000, Liu et., 2000, Hashizume et al., 2002, 2001) suggest that there may be coupled feedbacks on TIV dynamics. However, initial experiments suggest that such coupling is weak (Pezzi et al., 2003). Further investigation is required to fully demonstrate this result. Coupled OPA ocean-atmosphere simulations have been conducted using statistical SST/stress relationships on TIW scales calculated from TMI/QSCAT data (Pezzi et al., 2003). Thus far, there is a weak retroaction of the atmosphere to the oceanic properties of the TIVs. However, there is ample room for improvements in the crude ocean/atmosphere parameterization that we can explore. Specifically, the imprint of the surface currents on the stress calculations were not considered in the first configuration. Subsequent work will include them to understand how the surface current affect the instability characteristics. This will be pursued in collaboration with K Richards (University of Hawaii). This work addresses mainly questions 4-5. ---------------------------------------------------------------------------------------------------------------Experimental strategy Effects of horizontal heterogeneity on the calculation of the fluxes It is expected that the ships will cross two large SST fronts (10°C per 100km) along their clockwise Lagrangian survey around the TIV. A hundred kilometers ahead of each SST front, the following strategy will be applied. Both the US and French ships will start measuring coincidently the mean variables (wind speed and direction, temperature, pressure, humidity, and SST) at the same location for one hour. Next, the French ship will depart from its position, measuring continuously the fluxes plus the meteorological variables. For half an hour, the French ship will stay on the other side of the front, which will allow us to derive first estimates of wind, temperature, an humidity gradients. Finally, the US ship will cross the front, and its data will be used to validate the spatial gradients found using data from the French ship. Subsequent lab work will consist in relating the spatial gradients to the difference between bulk flux estimates and eddy correlation and inertial dissipation fluxes. Response of the boundary layer : vertical sounding Eighty one radiosondes (RS) will be launched during the 22 days of the experiment. From the point of view of atmospheric sounding, the IOP will be split into five periods. Two periods (IOP2-4) that correspond to the crossing of the two SST fronts, and three remaining periods (IOP1-3-5). During IOP1-3-5, 3 RS will be launched every day (21). On the other hand, IOP1-2 will consist in two periods of 5 days each, during which 6 RS will be launched each day (in order to have diurnal variability). IOP1 Duration: RS per day: 3 SST Front 1 IOP2 5 days 6 IOP3 3 SST Front 2 IOP4 5days 6 IOP5 3 ---------------------------------------------------------------------------------------------------------------DETAILED METHODS AND MEASUREMENTS Physics 0-400 T, S during CTD casts. ADCP (current and backscatter for biological purposes), Salinometer, SVP-WOCE floats. An instrument mast will be installed on the ship to measure the air-sea flux measurements by inertial dissipation and eddy correlation methods (Weill et al., 2002, Dupuis et al., 1997, Delahaye et al., 2001). The flux measurement instruments consist in the following set : sonic anemometer (temperature and wind speed), microwave refractometer (humidity fluctuations, see 3.2.6), meteorological station, inertial platform (6 degrees of freedom), Lymann alpha or KH20 (humidity). Acquisition rate : 50 Hz. References Bourras, D., 2003: Développement de nouveaux algorithmes pour restituer le flux net à la surface des océans, submitted to PNTS. Butet, A., 2002 : Distorsion du vent autour du N.O. Thalassa. Atelier de Mosélisation et d’Expérimentation de l’INSU, Toulouse. Cronin, M. F., S.-P., Xie, and H. Hashizume, 2003: Barometric Pressure Variations Associated with Eastern Pacific Tropical Instability Waves, J. Climate, 3050-3057. Dudhia, J., 1993: A Nonhydrostatic version of the Penn State/NCAR mesoscale model: Validation tests and simulations of an Atlantic cyclone and cold front. Mon. Wea. Rev., 121, 1493-1513. Geernaert , G. L., 2002: On extending the Flux Profile Similarity Theory to include Quasi Homogeneous Conditions in the Marine Atmospheric Surface Layer, Boundary Layer Meteorology, 433-450. Hauser D.: Presentation of the FETCH experiment , in preparation for Jour. Geophys. Res. , 2001 Lehugeur, B., 2003 : A hybrid model to derive air temperature over the ocean from satellite data, Master’s Thesis in Turbulence, Chalmers university, Göteborg, Sweden. Lindzen, R. S., and S. Nigam, 1987: On the role of sea surface temperature gradients in forcing low-level winds and convergence in the tropics. J. Atmos. Sci., 44, 2418-2436. Nacass P, Shipborne wind measurements corrected for airflow distortion by computational fluid dynamics, 11th conference Symposium on Meteorological Instrumentation and Porcú, F., D. Capacci and F. Prodi, 1999: Estimation of water vapor vertical distribution over the sea from Meteosat and SSM/I Observations, Microwave Radiometry and Remote sensing of the Earth's Surface and Atmosphere, P. Pampaloni and S. Paloscia Eds, VSP publisher, chapter 2.2. Wick, G., and J. J. Bates, 2003: Improved satellite based near surface estimates of humidity for air-sea flux computations, 12nd conference on satellite meteorology, Long Beach, AMS.