1. Monitoring Essential Climate and Biodiversity Variables
Gregory Giuliani /

2. Rationale and Scope
Transforming Essential Climate Variables (ECVs) and Essential Biodiversity Variables (EBVs) data into information
Funded by the Swiss Federal Office for the Environment
Collaboration with GEO and CNR
Action 1: creation of at least 3 graphs on ECVs using available data from official data providers, to create at least 3 graphs showing trends on Climate Variables (4 graphs were done)
Action 2: Using NPP monthly products from MODIS, testing a methodology for transforming raster data into a table to generate a graph and monitor this EBV trend on various locations (world wide, monthly for ). Produce an interface for monitoring NPP trend on various locations. A set of organized data automatically updated (not yet) on NPP.

3. Turning EVs Data into Information
General idea:
Transform global satellite data (raster) or in situ (station data) into aggregated values at various scales (local; administrative level, national, regional or global level.
Continue the production of ECVs, test the methodology for EBVs.
This could be used for supporting the SDGs

4. Sources: http://nsidc.org/arcticseaicenews/
Monthly Sea Ice Extent and Area Data Files
The ASCII data files tabulate extent and area (in millions of square kilometers) by year for a given month.
Access files:
1. Go to the FTP directory.
2. Choose the month directory (indicated by a 3-character month abbreviation) for the data that you are interested in. Within the month directory, search for data files that are named according to the following convention: H_mm_area.txt Where H stands for the hemisphere: N (north) or S (south), and mm is the 2-digit month. For example, the file N_04_area.txt contains data from the Northern Hemisphere for the month of April.
Code for automatic update procedures
For data which providers have not yet moved to OGC webservices.

5. System Architecture UNEP GRID generates the datasets to graph
UNEP Live visualizes
the datasets to users
GEOSS brokered
EO datasets to UNEP

6. Achievements
Information graphs are daily updated… we can monitor the environment in near-real time.

7. Achievements
End users can download the data, which are formatted for easy access.

8. Achievements
Data are aggregated at yearly values for trend analysis

10. New graphs on ECVs

11. New graphs on ECVs

12. New graphs on ECVs

13. New graphs on ECVs
In collaboration with World Glacier Monitoring Service (WGMS, Uni Zürich)

14. MODIS NPP data
Accurate measure of terrestrial vegetation growth and production activity.
To define the seasonally dynamic flux of terrestrial-surface carbon dioxide for climate modeling.
Measure crop yield and forest production and any other socially significant products of vegetation growth.
Unbiased, regular source of crop and forest production estimate.

15. MODIS NPP data

16. MODIS NPP demonstrator

17. Achievements Serve both UNEP and GEO needs and goals Quick and agile!!
Automated Monitoring of Essential Climate Variables
Tested different Essential Climate Variables (Sea Ice extent, Ozone, Sea level rise) and now available UNEPLive on-line
Monitoring Sustainable Development Goals Indicators
Some indicators to be identified for testing
Live Monitoring of Earth Surface platform (LiMES)
Planning concept and evaluating technical feasibility

18. GEO DAB API is a Key Enabling Technology

19. Future challenges
More data and applications to be implemented wihtin the ERA-Planet/GEOEssential project
Involve more partners/Linkage with users
Automated Monitoring of Essential Climate Variables
GCOS – Coordinate Essential Climate Variables dataset (ESA CCI, Joint CEOS-CGMS Climate WG, GOSIC, etc)
LiMES
Ramsar and IUCN