• Aucun résultat trouvé

Task 4.4 : Communication

N/A
N/A
Info
Télécharger
Protected

Academic year: 2021

Partager "Task 4.4 : Communication"

Copied!
28
0
0

Chargement.... (Voir le texte intégral maintenant)

Texte intégral

(1)

1st CMEMS INSTAC Plenary

Meeting

(2)

Context

Give more

Visibility

(3)

Requirements

[REQ-GEN- 10]: unique communication contact point

C. Troupin

(4)

Requirements

[REQ-GEN- 11]: at the start of Q2 and Q4 each year 1 × High resolution image

1 × animation

Temperature anomalies, long time series,

drifter trajectories, . . .

(5)

Requirements

[REQ-GEN- 12]: 1 × per year:

"Written Use case Rationale"

(6)

Requirements

[REQ-GEN- 13]: use-case attracting media attention: Rationale delivered < 3 days after the request

(7)

Requirements

[REQ-GEN- 14]: compliance with the communication rules

From document 3.CMEMS Working Relations.pptx

I High-level scripts languages Python

I High-resolution 300 dpi

I Image format tiff & png

(8)

Requirements

[REQ-GEN- 15]: specific requirements:

I veracity of the data

I written rationale: scientific expertise + understandable for non-scientists

(9)

Requirements

[REQ-GEN- 16]: material meeting the Credits & Graphic requirements stated in the CMS Communication Plan.

(10)

Meeting with Mercator

Communication Team

Webex July 17th

Participants: Cécile, Alice (Mercator-Océan), Sylvie (Ifremer), Joaquín, Charles (SOCIB)

Objectives:

—• Initial contact

—• Specification of requirements —• Example of possible contributions

(11)

Figure 1: temperature anomalies

from in situ data

I World Ocean Atlas (or SeaDataNet) climatology interpolated at the locations

I Anomalies computed at different depths and months

I Program flexible enough to generate similar figures for different platforms, regions, . . .

(12)

Figure 1: temperature anomalies

from in situ data

I World Ocean Atlas (or SeaDataNet) climatology interpolated at the locations

I Anomalies computed at different depths and months

I Program flexible enough to generate similar figures for different platforms, regions, . . .

(13)

Figure 1: temperature anomalies

from in situ data

I World Ocean Atlas (or SeaDataNet) climatology interpolated at the locations

I Anomalies computed at different depths and months

I Program flexible enough to generate similar figures for different platforms, regions, . . .

(14)

Figure 1: temperature anomalies

from in situ data

I World Ocean Atlas (or SeaDataNet) climatology interpolated at the locations

I Anomalies computed at different depths and months

I Program flexible enough to generate similar figures for different platforms, regions, . . .

(15)

Figure 1: temperature anomalies

from in situ data

I World Ocean Atlas (or SeaDataNet) climatology interpolated at the locations

I Anomalies computed at different depths and months

I Program flexible enough to generate similar figures for different platforms, regions, . . .

(16)

Figure 2:

time series from mooring

I 2015 monthly values compared to mean, min. and max. values

(17)

Figure 2:

time series from mooring

(18)

Animation 1:

drifter in an eddy

(19)

Material for Q4

I Sent on August 21st, 2015

I No reply

I Sent again on August 31st, 2015

(20)

Material for Q4

I Sent on August 21st, 2015

I No reply

I Sent again on August 31st, 2015

(21)

Material for Q4

I Sent on August 21st, 2015

I No reply

I Sent again on August 31st, 2015

(22)

Material for Q4

I Sent on August 21st, 2015

I No reply

I Sent again on August 31st, 2015

(23)

Downstream Use Case 1:

SeaBoard Sorrento

I Sent on September 4th

(24)

Downstream Use Case 1:

SeaBoard Sorrento

I Sent on September 4th

(25)

Downstream Use Case 1:

SeaBoard Sorrento

I Sent on September 4th

(26)

What’s next?

— 1 Contacts for material for Q4 and next Tanguy, . . .

— 2 Focus on other regions no Western MedSea

(27)

What’s next?

— 1 Contacts for material for Q4 and next Tanguy, . . .

— 2 Focus on other regions no Western MedSea

(28)

What’s next?

— 1 Contacts for material for Q4 and next Tanguy, . . .

— 2 Focus on other regions no Western MedSea

Figure

Figure 1: temperature anomalies from in situ data
Figure 1: temperature anomalies from in situ data

Références

Télécharger maintenant ( PDF - 28 Page - 20.23 MB )

Documents relatifs

4-contour d'une figure

On calcule ensuite pour chacun des couples de pixels voisins, le carré de la différence des niveaux de gris.. L'image modifiée sera elle aussi enregistrée dans

Liste des figures Figure I.1

Figure III.6 Etapes d’un algorithme génétique multi-objectifs. Assignation de l’efficacité d’un point de vue de dominance

4 I.1 Introduction [1]

La programmation orientée objets (POO ou OOP : Object Oriented Programming ) utilise les objets et non les algorithmes comme blocs fondamentaux, chaque objet est une

F 1 T T 4 i

The preamplifier—amplifier section accepts the negative charge output of scintillation detectors and provides a positive RC clipped (1 pec) output voltage pulse.. Output pulse shape

Figure 1 Figure 2 Figure 3 Figure 4 Figure 1 Figure 2

Donner la mesure de l’angle marqué en justifiant

- LES FIGURES DE STYLE – 1/4 - LES FIGURES DE STYLE – 2/4

 LE PARALLÉLISME : consiste à reprendre la même construction de phrase (syntaxique) ou le même rythme en deux endroits d’un énoncé : « J’ai tendresse pour toi,

2 4 5 3 1 Figure 1

Une origine (point d’application) Un point où l’on souhaite mesurer la vitesse Sa direction : La droite tangente à la trajectoire au point M. Son sens : Celui

Cycle 4 Leçon 1 I. COMPRENDRE L’EFFET D’UNE SYMETRIE AXIALE SUR UNE FIGURE

COMPRENDRE L’EFFET D’UNE SYMETRIE AXIALE SUR UNE FIGURE Deux figures sont symétriques par rapport à une droite.. si elles se ……… par pliage le long de