EnviroGrids : Sustainable Development of the Black Sea Catchment

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EnviroGrids: Sustainable Development of the Black Sea Catchment

Nicolas Ray, Gregory Giuliani, Anthony LehmannNicolas Ray, Gregory Giuliani, Anthony Lehmann

University of Geneva / Climate Change and Climatic impacts / enviroSPACE groupUniversity of Geneva / Climate Change and Climatic impacts / enviroSPACE group

andand

United Nations Environment Programme / DEWA / GRID-EuropeUnited Nations Environment Programme / DEWA / GRID-Europe

& &

the enviroGRIDS consortiumthe enviroGRIDS consortium

Veli Lošinj, August 27th 2009

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……exploring the past, present exploring the past, present and future (hydrology) of the and future (hydrology) of the

Black Sea catchmentBlack Sea catchment

What is enviroGRIDS What is enviroGRIDS about?about?

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Role of human activities

1900 1950 2000

0.0

0.5

1.0

T w

ith r

espe

ct t

o19

61-1

990

[°C

]

Observations

Natural forcings

Natural + anthropogenic forcings

IPCC 2007

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IPC

C, 20

07

-0.4-0.2

00.20.40.6

1.0

1000 1100 1200 1300 1400 1500 1600 1700 1800 1900 2000

T r

esp

ect t

o 2

0th c

en

tury

me

ans

[°C

]

0.8

2.0

3.0

4.0

5.0

6.0

2050 2100

A2

B2

Scenarios of climate change

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(june-july-august)(Differences between 2071-2100 and 1961-1990)

(HIRHAM RCM, A2 Scenario)

+2 +4 +6 +8 +10 +12°C

Beniston, 2004: G

eophysical Research Letters

Mean 90% quantile

Changes in heatwave days

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(june-july-august)(Differences in % between 2071-2100 and 1961-1990)(A-2 Scenario)

Christensen and C

hristensen, Nature, 2003

Seasonal precipitation Events greater than 50 mm/day

-40 -30 -20 -10 0 +10 +20 +30 +40

% change

Changes in summer precipitation

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Land cover changes

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Demographic changes

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Biodiversity changes

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Changes of water resources

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The enviroGRIDS project – facts

Founded by the European Commission FP7 framework (Theme 6:environment)

April 2009 – March 2013

Total budget of €8.1 mio. (€6.2 EC contribution) and 1367 man-months

27 partners, coordinated by University of Geneva

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Generic technical objectives

gap analysis developing a grid-enabled Spatial Data Infrastructure (SDI) spatially explicit regional scenarios of development modeling of large scale, high resolution distributed hydrologic

processes develop access to real time data from sensors and satellites develop early warning and decision support tools at regional,

national and local levels Build capacities in the implementation of many new standards

and frameworks

gap analysis developing a grid-enabled Spatial Data Infrastructure (SDI) spatially explicit regional scenarios of development modeling of large scale, high resolution distributed hydrologic

processes develop access to real time data from sensors and satellites develop early warning and decision support tools at regional,

national and local levels Build capacities in the implementation of many new standards

and frameworks

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What is a Spatial Data Infrastructure?• SDI provides a basis for spatial data discovery,

evaluation, and application.

• Includes the following elements:

- Geographic data,

- Metadata,

- Services,

- Clearinghouse,

- Standards,

- Partnerships.

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Challenges when sharing data

Many “islands” of data of different formats and quality.

Finding existing geospatial data is difficult.

Spatial data from different sources cannot be integrated due to:

- Incompatible information models & encodings.

- Non-interoperable information systems.

- No harmonization between datasets at different geographical scales.

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Challenges when sharing data

Re-use of spatial data is actually hard to achieve:

- Complex data integration procedures.

- Costly reproduction and redundancy.

Data policy restrictions:

- Unclear access rights and licensing policies.

- Missing pricing models.

SDIs are about facing the challenges and connecting heterogeneous data sources.

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Water Sustainability framework

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SWAT

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Root Zone

Shallow (unconfined) Aquifer

Vadose (unsaturated) Zone

Confining Layer

Deep (confined) Aquifer

Precipitation

Evaporation and Transpiration

Infiltration/plant uptake/ Soil moisture redistribution

Surface Runoff

Lateral Flow

Return Flow

Revap from shallow aquifer

Percolation to shallow aquifer

Recharge to deep aquifer

Flow out of watershed

Hydrologic Balance

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Models

Lake Balaton catchment

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Hydrological modeling

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Gridification of SWATWe plan to:- gridify SWAT to run on the EGEE infrastructure as a

geoprocessing service to be called from various clients such as SWAT users or web clients.

- Use ganga to easily switch among computational resources

easy-to-use frontend for job definition and management, implemented in Python

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Gridification of SWAT-CUP

Program for sensitivity analysis, calibration, validation, and uncertainty analysis of a SWAT model

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Launching jobs from within ArcSWAT

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Grid-enabled SDI

SWAT input data sets may:

• be stored on a local SDI

• stored and replicated in a distributed filesystem on the grid

• called through web services at run time

SWAT output data sets may be stored on the grid for future use

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Pushing for standardization

The grid-enabled SDI, will push for standardization among all countries within the Black Sea catchment

A strong objective of EnviroGRIDS is to build capacities in the implementation of many new standards and framework

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Infrastructure for Spatial Information in the European Community

a European Commission initiative to build a European spatial data infrastructure beyond national boundaries.

INSPIRE

Pushing for standardization

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www.earthobservations.org

GEOSS

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EnviroGrids VO?

Starting to build our pool of resources:• At partners sites• Using forthcoming desktop grid at university of

Geneva 1500+ PCs

Alternatives:-joining existing VO (e.g. ES VO, biomed VO)

Ensuring long term access to data

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Involvement of the public

IBM World Community Grid (volunteer computing)

A good way of having the public of the region participating

ChallengeNeeds to find the good application (jobs needing small amount of input/output data)

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enviroGRIDS

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Talking about Landsat (satellite) data:

“In spite of the great need for that information, the vast majority of those images have never fired a single neuron in a single human brain. Instead, they are stored in electronic silos of data.”

The Digital Earth (Al Gore, 1998)

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THANK YOUTHANK YOU