Project Stratus

to NOAA Web sitePrincipal funding is provided by NOAA Climate Program Office. (CPO).
Stratus Real Time Data Products
Real time vs historical data
Surface fluxes
Real time data vs model outputs


In-situ observations of atmospheric and oceanic conditions near and below the ocean surface have been gathered for over 10 years from a research buoy located at 85 °W 20 ´S in the subtropical Pacific. This region of the world is characterized by a persistent presence of low clouds (stratus deck) which prevented accurate remote sensing from early satellites and led to errors in computer simulations of the oceanic state.

To remediate the lack of accurate observations in this region, a surface mooring has been deployed there since 2000. On this mooring, named Ocean Sites Stratus (hereafter Stratus), data are sampled every minute. The measurements are acquired by ASIMET sensors, a set of sensors with climate quality (Weller and Colbo 2009).

Thanks to these measurements and the use of state of the art bulk parameterization COARE 3.5 (Fairall et al., 1996, 2003, Edson et al., 2012), the heat and momentum fluxes are derived from the meteorological measurements. After more than 10 years of data collection we are now able to estimate with great accuracy how much heat is exchanged between the ocean and the atmosphere in this region of the world. It turns out that despite the permanent stratus deck, enough solar radiation reaches down to heat the ocean on average each year (41 Wm-2), as decribed in the pie charts below.


In the figures below, 1-minute in situ data were averaged to hourly values (blue), a 30 days moving average was applied to data (red) and the annual cycle (green) was computed by averaging monthly averages over 10 years.


The lower panel is the difference with respect to the annual cycle of the hourly data (blue) and lowpassed - or moving-averaged- data (red). A clear anomaly stands out in 2007 when SST was much colder than usual. In 2007, La Nina conditions developed over the tropical Pacific as seen by the Nino1.2 index (black).

To the naked eye, there is a seemingly a correlation between Nino1.2 index and SST anomalies at the Stratus mooring between 2006 and 2008, but anti-correlation at other times. It is not clear to what extent large scale climate systems shape these observations and what role the local processes play. We intend to use these detailed observations to sort this question out and provide tools for the climate research community.

  Figure 1. SST from Stratus mooring. Upper: hourly data (blue), moving average (red) and annual cycle (green). Lower: difference between SST (hourly in blue, moving average in red) and annual cycle. Nino 1.2 index is in black.

Observations show that the interannual variations seen in SST are also present in atmospheric proxies, like air temperature (Figure 2), barometric pressure (Figure 4) or wind speed (Figure 5). In 2007, air temperature was colder, pressure higher and winds stronger. The atmosphere and the ocean are not in thermal equilibrium, as their response times to seasonal forcing differ. In figure 3, the difference between SST and air temperature is very seasonal indeed, but again, the inequilibrium was enhanced in 2007.

Figure 2. As in Fig. 1 but for air temperature. Figure 3. As in Fig. 1 but for SST minus air temperature.
Figure 4. As in Fig. 1 but for barometric pressure. Figure 5. As in Fig. 1 but for wind speed relative to water surface.

Last updated: 2022/03/16