On long time scales, the offshore SSH variations appear to dominate, whereas on synoptic weather time scales, the inner shelf wind-driven circulation responses are largest. Coastal sea level fluctuations are related to both the dynamical responses of the inner shelf circulation to meteorological forcing and the offshore SSH. The circulation is predominantly upwelling during autumn to spring months (October–April) and downwelling during summer months (June–September). On seasonal time scales they are related to both the local winds and the water density variations. The temporal variations of these structures are coherent with the local winds on synoptic weather time scales. currents, asymmetric upwelling and downwelling structures with moderate currents, and a set of transitional structures with weak currents. Five sets of characteristic circulation patterns are extracted from 2-day, low-pass-filtered data using the self-organizing map: extreme upwelling and downwelling structures with strong. The across-shelf structures of the ocean circulation and the associated sea surface height (SSH) variability are examined on the west Florida shelf (WFS) for the 3-yr interval from September 1998 to December 2001. The blended model is more accurate than the free-drift model that comprises its deterministic component for the test case presented here. Its mean and variance are then held constant for the forecast period. This statistical component is estimated from the difference between recent ice motion observations and the deterministic components of the model. Effects of ice stress divergence and other un-modeled physics are approximated using optimal estimation. Deep ocean currents are estimated as the average of recent wind-driven model errors. Tidal velocity contributions are also neglected so that daily averages of ice motions are considered. The quasi-steady free drift model neglects inertia of the ice and ocean mixed layer and describes the effect of wind forcing. The free-drift model includes effects of sea surface tilt as a geostrophic current balance. Ice velocity is estimated and forecast as the sum of a quasi-steady free-drift model component that includes wind-driven drift and slowly varying deep ocean currents and a statistical component that minimizes errors between the deterministic components and recent observations. We anticipate this model will be useful for short term forecasts up to roughly five days.
![ocean cleanup ocean cleanup](https://www.lilligreen.de/wp-content/uploads/2019/06/Ocean-Cleanup-Technik-im-Wasser-1200x800.jpg)
The model is intended as an ice forecast tool for offshore. Ice velocity observations are needed as input to the statistical component of the model.
![ocean cleanup ocean cleanup](https://www.lifegate.com/app/uploads/Ocean-Array-Cleanup1.jpg)
Wind observations and forecasts are needed as input to the deterministic component of the model. The model requires regular wind and ice velocity observations as input. In the case of a particularly severe storm, the system can be temporarily withdrawn from activity.A simple, blended deterministic-statistical ice motion model is presented. We also follow the latest weather forecasts and plan the trajectory to avoid storms, and by understanding the patch climate, we can conduct operations in less critical locations. We are closely monitoring the loads on the system and adapting the speed and span in the case of rough seas. SURVIVING STORMSīecause the cleanup systems are meant to stay in the patch for long periods, it is crucial that our systems can withstand ocean forces. For more about our approach to topics like these, see our Environment page. We are also committed to offsetting all carbon emissions associated with the System 002 campaign. As we continue to learn more about the technology and the behaviors of the Great Pacific Garbage Patch, we have trained observers on board the System 002 mission to monitor how this new system interacts with the natural environment.