Non-Inertial Flow in NSCAT Observations of Tehuantepec Winds
Mark A. Bourassa, Luis Zamudio, and James J. O'Brien
Center for Ocean-Atmospheric Prediction Studies, Florida State University
Tallahassee, FL 32306-2840
NSCAT observations provide high temporal and spatial resolution wind fields, which are used to examine gap flow through the Chivela Pass and the influence of Hurricane Marco. For approximately one week in November 1996, hurricane Marco causes the flow through the gap to change from its usual flow pattern: the winds turn to the left rather than the right. Previous studies of this gap flow have used monthly averages of sparse ship observations, ECMWF fields, mesoscale models, or proxies such as cloud motion or sea surface temperatures (SSTs). NSCAT provided unprecedented accuracy (rms differences less than 1.5 m s-1 and 15° ) and resolution (daily and 1° x1° in this study). The observations show that the gap flow often turns to the right (dominated by the Coriolis force); however, unusual events can cause highly non-inertial flow for several days. The SSTs respond slowly to changes in the wind pattern, and they are a poor proxy for short term wind patterns. The NSCAT winds, gridded with a new methodology presented herein, have the spatial and temporal resolution required to show the evolution of the gap outflow in the presence of a hurricane. The winds fields are used to generate parcel pseudo-trajectories, which show that the Marco causes Tehuantepec winds to turn to the lefts and pass through the Gulf of Papagayo into the Caribbean Sea.
Gridding techniques are required to fill gaps in fields of NSCAT observations. NSCAT coverage of the global oceans is approximately 77% in one day and 90% in two days. The new gridding technique temporally averages the winds in a manner than leaves very little evidence of the pattern of satellite tracks in the wind fields, and little evidence in wind field curl and divergence. Daily fields of 1° x1° resolution are generated. The temporal sampling characteristics of the wind fields are shown to be non-homogeneous, with the distribution of characteristic sampling times peaking at one day, and usually within the range of 0.75 to 1.75 days.
More details, supporting figures, and animations.