Globally, there are numerous locations where wind moving through coastal topology generates jets that often result in cold-water upwelling events.  The identification of both the wind jet and upwelling events are important to researchers as well as commercial and military interests.  Many of these wind jets occur at relatively remote locations where in situ measurements can be sparse.  This NASA-funded project is demonstrating how remotely sensed satellite data derived products for wind and sea surface temperatures can be used to detect both wind jet and upwelling events. An automated intelligent algorithm was developed to detect gap wind and ocean upwelling events at gulf regions of Central America using Cross-Calibrated, Multi-Platform (CCMP) ocean surface wind product and Optimally Interpolated Sea Surface Temperature (OISST) product. Hierarchical thresholding and region growing methods are used to extract regions of strong winds and temperature anomalies. A post processing step further links the detected events to generate time series of these events. Though developed for Central America regions, the algorithm is being extended to apply to other coastal regions so that detected event products are globally consistent. Through collaboration with the Global Hydrology Resource Center (GHRC), a NASA Distribute Active Archive Center, a resulting climatology of wind jet and upwelling events at known geographic locations will be available as a resource for other researchers.  Likewise, through integration of the project's analysis techniques with the GHRC's data ingest processing, the identification and notification of new or current events will likewise be openly available to research, commercial and military users.  This paper provides a report on the preliminary results of applying the team's approach of identifying and capturing events for selected mountain gap jet locations.  Also discussed are plans for the analysis of additional geographic sites as well as the application of the technique to other types wind/upwelling events.