Ofs Fitel, LLC

Lucent Technologies Inc.

Michael James LuValle

David John DiGiovanni

Herman M Presby

Robert Scott Windeler

Robert George Ahrens

Joseph Anthony Abate

A method and apparatus for precipitation prediction is provided. In exemplary embodiments, the method may comprise, at a server having one or more processors and memory storing one or more programs for execution by the one or more processors: decomposing climate model attractors; receiving ground data in a region from a client as well as global data; reweighting and reordering the relative importance of the climate model attractors based on a rank and incorporating the ground data; reassembling a selected group of data including the ground data, thereby adding information to the climate model; and generating a prediction of regional weather based on the reassembled selected group of data.

Statistical prediction functions for natural chaotic systems and computer models thereof

A fiber optic sensor for use in environments containing darkening agents, e.g., hydrogen. The sensor includes a multicore fiber or a fiber optic cable containing a number of optical signal paths. Each path includes a sensing core segment and one or more transmission core segments. The sensing core segment is configured to (i) produce optical perturbation signals (e.g., Raman or Rayleigh) at one or more locations along the segment, the perturbation signals corresponding to environmental conditions (e.g., temperature) sensed by the segment at a corresponding location, and (ii) allow the perturbation signals to be detected by measurement equipment coupled to the sensor when light signals from a given source excite the path. The transmission core segments in a selected path subject the perturbation signals to little if any further attenuation relative to the attenuation induced in the sensing core segments in reaction to the darkening agents.

Distributed environmental fiber optic sensor and system

Embodiments generally relate to methods of accurately predicting seasonal fluctuations in precipitation or other approximate functionals of a climate state space, such as the number of heating or cooling degree days in a season, maximum river flow rates, water table levels and the like. In one embodiment, a method for predicting climate comprises: deriving a climate attractor from a global climate model, wherein a tuning parameter for the climate attractor comprises a value of total energy for moving air and water on the earth's surface; estimating a predictive function for each of a plurality of computational cells within the global climate model; and predicting an approximate climate functional of interest for a given specific location utilizing a combination of the predictive functions from each of the plurality of computational cells geographically proximate the location, where at all stages, predictive functions are selected in part by comparison to historical data.

Predicting climate data using climate attractors derived from a global climate model

Applicants have discovered an apparatus and method effective for use in rendering an optical fiber resistant to losses caused by high-radiation environments such as in outerspace. The apparatus comprises an optical fiber, a housing surrounding the optical fiber defining an enclosed space between the exterior surface of the fiber and the housing, and a concentration of deuterium or hydrogen gases disposed within the enclosed space.

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Morristown, NJ, United States of America

Michael James LuValle