Science & Applications>Air-sea interaction

Air-sea interaction

The sea surface parameters retrieved from satellite sensors enable to get a better understanding of the air-sea interactions. The scientists of the CERSAT try to define how satellite measurements could help to retrieve correctly and to understand :

  • the space and time scales of wind and wave fields,
  • the inter-tropical ocean circulation,
  • extreme events (cyclones).

They benefit by the CERSAT database, since a multi-satellite and multi-sensor approach is essential for new insights into this research field.

ERS/SAR wind

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The European Space Agency ERS-1 C-band VV-polarization instrument ( AMI) offers the unique ability to combine interlaced scatterometer and SAR wave modes. Since a SAR only relies on its platform displacement to achieve fine azimuth resolution, the motion of the surface reduces its nominal resolution. As the wind speed increases, the SAR scene contrast seems to increase, to give important peak-to-background ratio of its power spectrum. This is mainly due to the decrease in the speckle noise level induces by migrations in the azimuth direction. In this presentation we use wind estimates from the ERS-1 scatterometer IFREMER retrieval algorithm in conjunction with observed cutoff wavelengths of ERS-1 SAR imagettes to derive a `speckel' wind algorithm. Such a relationship will help for the definition of quasi-linear mapping transforms currently used in most of SAR spectral inversion schemes.

Determining CO2 exchange coefficients(K) from satellite wind speed

Several attempts have been made to relate air-sea gas transfer velocities, k, to wind speed, U. Relating k to U is not completely satisfactory because k is known to be driven by sea surface roughness which is not only dependent on wind speed and alternative approaches attempt to relate k to sea surface slopes (Frew et al., 2004) that is accessible using dual-frequency altimeters. However, scatterometer instruments provide a much better sampling than altimeters. Thence, in that study we choose to derive weekly 1° maps of K using satellite wind speeds.
At present, three k-U relationships are commonly used to derive CO2 air-sea fluxes from wind speed and air-sea CO2 partial pressure gradient: Liss and Merlivat (1986), Wanninkhof (1992), Nightingale et al. (2000). This article describes the methodology used to map K from satellite wind speeds; we derive long term K global means from the three sets of CO2 exchange coefficients corresponding to the above k-U relationships and compare them with recent constraints derived from 14C revised inventories.

Retrieving turbulent fluxes from satellite

One the main key surface parameters involved in the exchange of energy between the atmosphere and oceans are: wind stress, surface turbulent latent and sensible heat fluxes. These are essential to improve modeling simulations of climate variations and oceanic dynamic process studies. Radars and radiometers onboard satellites provide valuable global measurements used to estimate the turbulent fluxes. The methodology for obtaining the surface turbulent fluxes uses physical properties of active and passive satellite instrument measurements, empirical and inverse models relating satellite observations and surface parameters, and objective analysis merging various satellite estimates. A high-resolution dataset is prepared for the global Ocean during 1992 - 2006, with a spatial resolution of 1 degree, and weekly and monthly temporal resolutions. The satellite data come from the European Remote Sensing satellite scatterometers (ERS-1 and ERS-2), NASA scatterometers (NSCAT and Seawinds onboard ADEOS-1 and QuikScat respectively), and several defense Meteorological Satellite Program (DMSP) radiometers (Special Sensor Microwave/Imager [SSM/I] F10 - F15). The reliability of the derived surface winds and heat fluxes is examined and validated through comprehensive comparisons with available in-situ data. The results are compared to NCEP/NCAR re-analysis and to ECMWF Analysis and re-analysis (ERA-40) wind and heat estimates. Comparisons are also performed with available remotely sensed flux estimates.

ERS/AMI wind

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Accurate knowledge of surface winds over the oceans is vital for the understanding and forecasting of oceanic circulation and earth climate changes. Traditionally, surface winds have been monitored using voluntary ships of opportunity and buoys, leading to large areas of the oceans where very few data are available, for instance regions away from main trading routes. Satellite-borne radars, such as scatterometers, are of major interest, first because of their large temporal and spatial coverage and second because of their all-weather measurement capability. Such instruments are flown on the European Remote-Sensing Satellites of the European Space Agency.

Storms in microwave

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The quality of Numerical Weather Prediction (NWP) moels relies partly on the availability of surface wind and wave observations. Until recently, observations at sea were mainly provided by voluntary observing ships. Away from ship lanes, in many areas, there is a lack of observations. Moreover, the coarse resolution of NWP models limits the interpretation and the description of the atmospheric surface features. Strong gradients in the surface wind and wave fields exist at scales of a few kilometers; they are dramatically smoothed in NWP models. Unprecedented views of surface wind and wave fields in storms are now provided by microwave sensors on-board polar orbiting satellites.