CCLME ECO-GIS Viewer

CCLME ECO-GIS VIEWER

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Bathymetric mapping and transects
CCLME Upwelling index
Precipitation and river discharges
Sea level time series
Argo Profiles
SST and Chl data and differences analysis
Spatio-temporal data viewer
Oceanographic transects
Biological data
Using my own data
Useful links

The project

The CCLME ECO-GIS Viewer is a Geographic Information System (GIS) dynamic analytic tool aimed to create meaningful data products at the West African regional scale, adding value to raw data and producing new scientific knowledge of the ocean and coastal areas of the Canary Current Large Marine Ecosystem (CCLME) countries.

The analysis of the data using the CCLME ECO-GIS Viewer facilitates the study of the dynamics and trends of a multiplicity of variables to produce new and valuable information on changes produced during the last 35 years in this region, from climatic changes to shifts in species due to natural and human induced factors.

The Canary Current LME is a major upwelling region off the coast of Northwest Africa. It extends southwards from the Canary Islands (Spain) and the Atlantic coast of Morocco, Western Sahara, Mauritania, Senegal, Guinea-Bissau and Gambia, but Cabo Verde and the waters of Guinea are considered adjacent areas within the zone of influence of the CCLME.

The CCLME ECO-GIS Viewer has been developed within the framework of the project “Enhancing oceanography capacities on CCLME Western African countries Phase II”. This project has been undertaken by the UNESCO Intergovernmental Oceanographic Commission (IOC), and it has been funded by the Spanish Agency for International Development Cooperation (AECID). The IOC (UNESCO) partner for this project is the Spanish Institute of Oceanography (IEO), which hosts the CCLME ECO-GIS Viewer in their servers.

About: IOC/Ocean Sciences/CCLME project

Contact

Contact
Developed by

The CCLME ECO-GIS Viewer is a UNESCO Intergovernmental Oceanographic Commission application, hosted by the Spanish Institute of Oceanography (IEO) on its servers.

IOC-UNESCO

7 Place de Fontenoy

75352 Paris Cedex 07 SP

France

For questions about the website application, the web services and any problems accessing the data, e-mail:

olvido.tello@ieo.es

Luis Valdes: Project coordinator / Researcher at IEO

e-mail: luis.valdes@ieo.es

Luis Miguel Agudo Bravo: GIS and Web Developer / Consultant at IOC

e-mail: luismi.agudo@ieo.es

Linkedin - GitHub - Web

Itahisa Deniz Gonzalez: Functional Analyst / Consultant at IOC

e-mail: i.deniz-gonzalez@unesco.org

About using sea level time series tool

Metadata
How to use this tool

This functionality allows access to the NW Africa sea level change information from tide gauges and bottom pressure recorders.

The source of this data from the Permanent Service for Mean Sea Level (PSMSL)

It is possible access to the data in next url http://www.psmsl.org/data/obtaining/map.html

Established in 1933, the Permanent Service for Mean Sea Level (PSMSL) has been responsible for the collection, publication, analysis and interpretation of sea level data from the global network of tide gauges. It is based in Liverpool at the National Oceanography Centre (NOC).

References:

Permanent Service for Mean Sea Level (PSMSL), 2017, "Tide Gauge Data", Retrieved 22 May 2017 from http://www.psmsl.org/data/obtaining/. Simon J. Holgate, Andrew Matthews, Philip L. Woodworth, Lesley J. Rickards, Mark E. Tamisiea, Elizabeth Bradshaw, Peter R. Foden, Kathleen M. Gordon, Svetlana Jevrejeva, and Jeff Pugh (2013) New Data Systems and Products at the Permanent Service for Mean Sea Level. Journal of Coastal Research: Volume 29, Issue 3: pp. 493 – 504. doi:10.2112/JCOASTRES-D-12-00175.1.

This functionality allows access to the NW Africa sea level change information from tide gauges and bottom pressure recorders.

The source of this data from the Permanent Service for Mean Sea Level (PSMSL)

When the user access to this functionality, the map region show the position of the stations in the left side and a table with information (name, code, country, years available with data), about these stations is showed in the right side.

When the user click in a row in the table this station is selected. Also is possible select a station from the map with a click over the station. Immediately this station is selected also in the table.

At the same time, a popup is showed. It is possible display the information about the station in this popup clicking over the button

One time a station is selected (green row). The user can display the information clicking over button.

The graph show the time serie for the selected station.

Clicking over Trend & Linear regression button statistical information is showed.

There are several tools in the graph in order to change the time window.

Sea level time series

Sea Level Stations

Sea Level Data