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Formal Reports

Report of results of completed projects or major milestones either in scientific terms or in terms acceptable to a wider audience. Note: Unless linked to the full text, reports are only available to NATO member nations from designated distribution centres. 

Documents

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Stochastic nature of physical parameterizations in ensemble prediction: a stochastic convection parameterization Stochastic nature of physical parameterizations in ensemble prediction: a stochastic convection parameterization

Date added: 06/01/2007
Date modified: 06/22/2012
Filesize: Unknown

Stochastic nature of physical parameterizations in ensemble prediction: a stochastic convection parameterization. Teixeira, J.; Reynolds, C.A.  June 2007.  NURC-FR-2007-012. 

The goal of the ‘Air-Sea Interaction Effects on Expeditionary Force Operations’ project is to improve littoral METOC forecast capabilities to support Expeditionary Operations (EO) and to be used in Tactical Decision Aids (TDAs). Environmental forecasting systems often possess a substantial amount of uncertainty. A more refined knowledge of the uncertainty associated with the forecast of any variable would be of great help to support NATO operations. In order to answer this type of questions ensemble prediction systems have been developed to produce estimates of the uncertainty of model forecasts. The development of stochastic parameterizations is a fundamental stepping-stone for improved ensemble prediction systems. In this report it is argued that ensemble systems can be devised, in which parameterizations of sub-grid scale motions are utilized in a stochastic manner. The equations used to estimate the variance of a generic variable are discussed and a simplified algorithm is proposed as a preliminary attempt. Results from the implementation of this stochastic scheme show that this method is able to produce a substantial ensemble spread. Simulations with initial-condition and stochastic convection perturbations show a promising increase in ensemble spread and decrease in the number of outliers. The research devoted to this stochastic scheme has matured to the point of operational transition. As an example, this method is currently being tested in the US Navy operational ensemble. These methods will also be tested in the high-resolution re-locatable system used at NURC, as part of an environmental prediction package for EO support in the context of the Recognized Environmental Picture (REP).

SUPREMO v.2.0 User Guide SUPREMO v.2.0 User Guide

Date added: 06/01/2007
Date modified: 06/22/2012
Filesize: Unknown

SUPREMO v.2.0 User Guide. Prior, M.K. NURC-FR-2007-009. June 2007.

A user guide for version 2.0 of the SUPREMO multistatic sonar performance model is provided. Input data entry and model execution are explained in a step-by-step manner and the display of model predictions is described. Examples of automated program execution are given, showing how the model may be used to assess the impact of environmental input data uncertainty and to help in tactical considerations such as the identification of best deployment depths for sonars.

Deployable network setup for Remote Sensing Satellite Ground Sation (RSSGS): architecture and performance considerations Deployable network setup for Remote Sensing Satellite Ground Sation (RSSGS): architecture and performance considerations

Date added: 06/01/2007
Date modified: 06/22/2012
Filesize: Unknown

Deployable network setup for Remote Sensing Satellite Ground Sation (RSSGS): architecture and performance considerations. Berni, A. ; Merani, D.; Gorra, E.; Leonard, M.; Ranelli, P.; Sciarrone, M.; Stenvoll, R. NURC-FR-2007-010. June 2007.

This document reports on the trials performed with the NURC Remote Sensing Satellite Ground Station (RSSGS) in 2005, as part of project “Covert Remote Sensing in Support of Expeditionary Operations” funded by Allied Command Transformation with the objective of demonstrating and evaluating the utility of remotely sensed METOC data to support expeditionary operations under the Recognized Environmental Picture (REP) concept. The experiment provided proof of concept and enabled the development of procedures and communications infrastructures that will enable future deployments of the RSSGS. Additionally, the application-level performance of the RSSGS communication system in different configurations was tested and validated.

SUPREMO v.2.0 program description SUPREMO v.2.0 program description

Date added: 06/01/2007
Date modified: 06/22/2012
Filesize: Unknown

SUPREMO v.2.0 program description. Prior, M.K. NURC-FR-2007-011. June 2007.

A program description for version 2.0 of the SUPREMO multistatic sonar performance model is provided. SUPREMO allows scientists and engineers engaged in sonar research to predict underwater acoustic signal and interering background intensities. Program operation is explained in a step-by-step manner along with relevant program assumptions and approximations.

Benchmarking scattering from spheres and cylinders near the seafloor: A numerical comparitive study Benchmarking scattering from spheres and cylinders near the seafloor: A numerical comparitive study

Date added: 05/01/2007
Date modified: 06/22/2012
Filesize: Unknown

Benchmarking scattering from spheres and cylinders near the seafloor: A numerical comparitive study. Jensen, F.B.; M. Zampolli, M.; Tesei, A. NURC-FR-2007-005. May 2007.

A workshop was organized to assess the state-of-affairs in target scatter modeling, both for low-frequency (0.1–10 kHz) and high-frequency (>=100kHz) applications. The problem set included free-field scenarios as well as scattering from targets that were proud, half-buried or fully buried in the sediment. Ten different organizations provided solutions to the various test problems. Low-frequency results are abundant for most test problems, whereas high-frequency solutions were provided only for the free-space cylinder with different material parameters and fillings. A detailed comparison between the various solutions for each test problem are presented and low-frequency reference solutions are identified for all but one of the eleven test problems.

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