Thursday, September 21, 2017
      CMRE Facebook page  CMRE LinkedIn page  CMRE PAO Youtube page
   
Text Size
CMRE banner

Memorandum Reports

Report that covers interim results during the course of a project. Note: Unless linked to the full text, reports are only available to NATO member nations from designated distribution centres.

Documents

Order by : Name | Date | Hits [ Ascendant ]

A sway estimator for wide aperture wideband synthetic aperture sonar applications A sway estimator for wide aperture wideband synthetic aperture sonar applications

Date added: 10/07/2015
Date modified: 10/07/2015
Filesize: Unknown

A sway estimator for wide aperture wideband synthetic aperture sonar applications.  Hollett, Reginald D. CMRE-MR-2015-001. February 2015.

A sway estimator is derived for wide aperture wideband Synthetic Aperture Sonar applications. A bias estimator is derived to eliminate an inherent bias. The applicability of the estimators is related to a restriction on the bias. The case of transmit pulses of Linear Frequency Modulated type is investigated.

Joint MAG initiative (JMI) table top exercise (TTE): matrix game adaptation and scenario description Joint MAG initiative (JMI) table top exercise (TTE): matrix game adaptation and scenario description

Date added: 01/15/2015
Date modified: 01/15/2015
Filesize: Unknown

Joint MAG initiative (JMI) table top exercise (TTE): matrix game adaptation and scenario description.  Funk, Ronald; Fitch, Edward S. CMRE-MR-2014-014. December 2014.

This report documents the CMRE seven months of preparations and hosting in support of the Joint MAG Initiative (JMI) Table Top Exercise (TTE). The event occurred at CMRE from 13 to 15 November 2013. The JMI TTE event was to be a virtual exercise to help identify requirements for greater capability and interoperability among NATO military forces. It was done to help the three service Main Armaments Groups (MAG) direct their future efforts for generating advice for the Conference of National Armaments Directors (CNAD) and NATO decision makers. CMRE successfully delivered on the CNAD request that CMRE host the JMI TTE and also organized all the enabling JMI TTE facilitation details on behalf of CNAD. This included proposing the methodology to conduct the JMI TTE, preparing a complex scenario that was consistent with NDPP assumptions and assembling a suitable facilitation team to successfully execute it. It also contains the detailed scenario description used to drive the JMI TTE. The scenario material is compiled here is to ensure future users have a reference point to access this JMI TTE methodology for similar events.

MANEX'14: experimental description and preliminary results MANEX'14: experimental description and preliminary results

Date added: 01/15/2015
Date modified: 01/15/2015
Filesize: Unknown

MANEX'14: experimental description and preliminary results.  Dugelay, Samantha; Williams, David P.; Okopal, Greg; Connors, Warren; Midtgaard, Oivind; Saebo, Torstein O.; Geilhufe, Marc; Lorentzen, Ole J.; Ditzel, Maarten; Beckers, Guus; Beldowski, Jacek; Francis, Chris; Mannoni, Andrea; Meltzer, Marthe Marie; Ostenstad, Petter; Hesby, Anne. CMRE-MR-2014-013. December 2014.

This document provides an overview of the MANEX?14 (Multi-national AutoNomy EXercise 2014) sea trial held from 22 September to 13 October 2014, near the Italian coastline from Framura to Bonassola. This trial was in support of the Autonomous Naval Mine Countermeasures (ANMCM) Programme. It describes the operational environment, the experiments conducted as well as the data collected. These data are available to researchers in NATO nations through their National points of contact. Overall, MANEX'14 was a very successful sea trial. The key achievements were:

- Extensive data collection to support the CMRE Autonomous Mine Search project.
- Extensive systems performance data collection to support the CMRE AUV planning and
evaluation project.
- International collaboration: FFI (NOR), TNO (NL), NATO SPS, EU, IOPAS (Poland),
THUENEN Fisheries Department (DEU), LEPA (LIT), NOAA (USA) and NSWC (USA).

Validation and forecast skill evaluation with different categories of rapid environmental assessment data: the NOMR12 experiment Validation and forecast skill evaluation with different categories of rapid environmental assessment data: the NOMR12 experiment

Date added: 12/17/2014
Date modified: 12/17/2014
Filesize: Unknown

Validation and forecast skill evaluation with different categories of rapid environmental assessment data: the NOMR12 experiment.  Russo, Aniello; Onken, Reiner. CMRE-MR-2014-012. December 2014.

In November 2012, the CMRE vessel N/RV Alliance and a fleet of gliders participated in the "Noble Mariner 2012" (NOMR12) exercise, including the conduct of Rapid Environmental Assessment (REA). CMRE provided, demonstrated, and compared the use of Category II (conventional survey ship-based assets) and Category III (autonomous underwater vehicle - gliders) REA assets and techniques. This report concerns one of the main objectives of the sea trial, i.e. the comparison of forecast skills using: Cat I REA (climatology, historical data, existing model products); Cat I to Cat II REA (high resolution model in the area of interest); Cat II REA (ship-based observations); and Cat III REA (glider-based observations), exploited via synoptic oceanographic analysis, and by data assimilation into a high resolution ocean model. The first part of the report concerns context, methods, characterization of the area and comparison of forecasts by different models. The second part addresses the validation of the models and the forecast skills. High resolution models provided a detailed picture of spatial variability of military oceanography parameters (thermohaline and current fields, depth the of sound channel, mixed layer depth), demonstrating in terms of root mean square error (rmse) clearly better capabilities than climatology, but not better than the available operational model. Nevertheless an unsatisfactory rmse, continuous assimilation of glider data into the high resolution model provided a good forecasting skill. This fact suggests that a mixed approach (initialization from Cat II REA and subsequent assimilation of glider data) could provide the best results for the specific case study. A more general indication is that sampling and assimilation techniques would need improvements in order to get relevant advantages in tactical predictions from glider observations.

Performance of heterogeneous data collection asset-network topologies operated during MED-REP13 Performance of heterogeneous data collection asset-network topologies operated during MED-REP13

Date added: 12/17/2014
Date modified: 12/17/2014
Filesize: Unknown

Performance of heterogeneous data collection asset-network topologies operated during MED-REP13. Alvarez, Alberto; Falchetti, Silvia; Mourre, Baptiste. CMRE-MR-2014-011. December 2014.

Observational oceanography is transitioning from ship-based to heterogeneous ocean observing networks, involving static nodes (moored profilers, bottom mounted systems), nodes with uncontrolled motion (drifter buoys and profiling floats) and nodes with controlled motion (ships, autonomous underwater vehicles-AUVs, gliders and autonomous surface vehicles-ASVs). Ocean observing networks significantly increase the spatial and temporal resolution covered by observations. Forecast skill of ocean prediction systems might be significantly improved by assimilating networked observations. A field experiment named MED-REP13 was conducted by CMRE on 5th-20th August 2013 in a marine area offshore La Spezia (Italy) in the Ligurian Sea (Western Mediterranean Sea), to investigate the impact that assimilation of observations collected by a glider-ship network and a glider-drifting profiling float network has on the forecast skill of an ocean model. The oceanic circulation in the region of interest was simulated by means of a regional configuration of the Regional Ocean Modeling System-ROMS. Model forecasts of temperature and salinity with and without data assimilation, are compared against a validation data set during the experiment. Results show that the forecast skill of the salinity field is improved when data is assimilated. Conversely, no significant differences are found between the forecast skills of the models with and without assimilating data when predicting the temperature field.

User Login