Task 2.6.Task 2.6.

Products and servicesProducts and services

Sub-tasks Sub-tasks

2.6.1. 2.6.1. Definition and design of added Definition and design of added value productsvalue products

2.6.2. Implement real and near real 2.6.2. Implement real and near real time added value products of time added value products of observational data for EuroMISS observational data for EuroMISS (WP8) (WP8)

2.6.3. Design a system to archive the 2.6.3. Design a system to archive the observational data for future useobservational data for future use

2.6.1. Objective2.6.1. Objective

To define, select and design the added To define, select and design the added products to be developed in 2.6. products to be developed in 2.6. for real for real time and near real time data compiled at time and near real time data compiled at 2.2. 2.2.

In other words, we have to define the In other words, we have to define the software that will be created to generate software that will be created to generate added value products from the real time added value products from the real time data that is going to be compiled. data that is going to be compiled.

Input from 2.2Input from 2.2

Data to be compiled and used:Data to be compiled and used: CurrentsCurrents SalinitySalinity Sea LevelSea Level Temperature Temperature Waves Waves Wind Speed Wind Speed

Format NetCDFFormat NetCDF OpenDAPOpenDAP

2.6.1. Products 2.6.1. Products characteristicscharacteristics

Software to be implemented in Software to be implemented in EuroMISS, EuroDESS and ROOSes EuroMISS, EuroDESS and ROOSes web pages.web pages.

Modular approach and software (i.e. Modular approach and software (i.e. java) required.java) required.

Not extremely complex in order to Not extremely complex in order to be properly tested on project time be properly tested on project time and resources and easily transported and resources and easily transported

2.6.1. Working procedure2.6.1. Working procedure

Step 1: Interrogate the different ROOSes Step 1: Interrogate the different ROOSes for required software products. A for required software products. A representatives of each ROOS is involved representatives of each ROOS is involved in the task. A template was prepared and in the task. A template was prepared and distributeddistributed

Step 2: Analyze and select those products Step 2: Analyze and select those products feasible to implementfeasible to implement

Step 3: Produce specifications for the Step 3: Produce specifications for the selected productsselected products

2.6.1.Pre-selected 2.6.1.Pre-selected products (1/3)products (1/3)

Multi-parameter alert systems. It has been Multi-parameter alert systems. It has been expressed the need to define and implement expressed the need to define and implement real-time web based alert indicators based real-time web based alert indicators based on single variables or in the combination of on single variables or in the combination of different physical parameters. Examples of different physical parameters. Examples of such combinations are sea level + sea state such combinations are sea level + sea state (to prevent shore infrastructure damage) or (to prevent shore infrastructure damage) or currents + SST (for HAB). These systems currents + SST (for HAB). These systems should be configurable by the user and must should be configurable by the user and must be able to send alert messages by e-mail and be able to send alert messages by e-mail and sms.sms.

Compilation of synoptic in-situ observation Compilation of synoptic in-situ observation data sets (e.g. temperature, salinity, waves, data sets (e.g. temperature, salinity, waves, currents) for model validation currents) for model validation

2.6.1.Pre-selected 2.6.1.Pre-selected products (2/3)products (2/3)

Algorithms to automatically fill data series Algorithms to automatically fill data series gaps in real time. In the case of absence of gaps in real time. In the case of absence of measurements, sometimes is possible to infer measurements, sometimes is possible to infer the data from nearby instruments data or AR the data from nearby instruments data or AR methods. methods.

Operational time filter to prepare data for Operational time filter to prepare data for model assimilation or use in drift estimation. model assimilation or use in drift estimation. For this kind of work, it is convenient to filter For this kind of work, it is convenient to filter the signal, keeping only the low frequency the signal, keeping only the low frequency (sub-inertial) part. An additional application (sub-inertial) part. An additional application of these tools is the use of the high frequency of these tools is the use of the high frequency part of the signal for the detection of rapid part of the signal for the detection of rapid oscillations. This will be useful, for example, oscillations. This will be useful, for example, for Tsunami detection systems.for Tsunami detection systems.

2.6.1.Pre-selected 2.6.1.Pre-selected products (3/3)products (3/3)

Design and implementation of common data Design and implementation of common data treatment tools in order to produce statistics to be treatment tools in order to produce statistics to be employed online for the points where employed online for the points where measurements are available (i.e. mean currents, measurements are available (i.e. mean currents, wave roses, etc…) and by the automatic data wave roses, etc…) and by the automatic data quality algorithms (i.e. range of possible values, quality algorithms (i.e. range of possible values, jumps, etc…).jumps, etc…).

2.6.1. Future work plan2.6.1. Future work plan

By end of March the products will be By end of March the products will be selected and the specifications selected and the specifications finished (we have a two months finished (we have a two months delay)delay)

A person will be hired for two years A person will be hired for two years at Puertos del Estado for this task at Puertos del Estado for this task that will be jointly carried out with that will be jointly carried out with CMRC.CMRC.