WP1. DATA

Data collection and attribution of global change effects

Long-term data is essential in producing reliable evaluation of responses to disturbances such as climate change; providing baselines to detect and evaluate changes in ecosystem structure and function.

WP 1 DATA. Objectives• To gather in a common framework long term

observations of hydrology, water quality, sediment transport, biological communities, society and economy in target running waters to build a standardized database as a consortium-level tool.

• To check for climate and global change effects in watersheds under study, feeding different research needs across work packages.

• To detect adequate hot-spots to be used as calibration sites for models simulating key river ecosystem processes.

SCARCE database

Water Agencies monitoring data

Meteorological records

Field and laboratory data from SCARCE WP2

WP3

WP4

WP5

Modeling of global responses at regional scale

Data harmonization

Detection of sensitive areas

WP5WP6 WP8

WP1 DATA. Description of tasks• WP1.1. Quality check of the data and

harmonizing process of the data series (months 1-26)

• WP1.2. Determination of coherent spatial regions in regard of their response to climate trends and cycle (months 20-50)

• WP1.3. Determination of flagship sites for calibrating models (months 6-12)

WP1.1. Quality check of the data and harmonizing process of the data series (1-26)

- List of required data (done)

- Contact with Water Agencies (in process)

- Design of the consortium database: Observations Data Model (in process)

- Continuous updating

Web access for consortium

Introduction of collected data

Updating (SCARCE and Water Agencies data)

TRAINING

ODM scheme

WP1.3. Determination of flagship sites for calibrating models (6-12)

Location of adequate time-series for calibration and testing of models developed in the different WPs

• Responsible teams of the task will propose a list of the best areas in terms of available data. • This is a very important step, because it will help defining hot spots for modeling and field based research in different WPs.

WP1.2. Determination of coherent spatial regions in regard of their response to climate trends and cycle (20-50)

We will work on three main topics:

1- Trend and cyclic behavior detection. Data for individual stations will be analyzed for detecting trends and cycles, and for relating this to climate and land use change.

Trend and cyclic behavior detection

We will work on three main topics:

2- Spatial coherency. Data from several data stations will be analyzed to detect common and synchronous responses to global and regional climate phenomena. This will define areas sensitive to climate change in Mediterranean Spain.

WP1.2.

Spatial coherency (1)

Spatial coherency (2)

We will work on three main topics:

3- Climate fingerprints. We will use the IPCC attribution guidelines to perform a large-scale aggregation of data and a meta-analysis for attribution to anthropogenic climate change. The goal is to give a high quality assessment ready to be incorporated in the GPII report of the AR5 in March 2014.

WP1.2.

Climate fingerprints (IPCC attribution guidelines)

WP1 DATA. Added values

1. Data for early research needs in WPs2. Publication of the conclusions of the task-group on

good practices for establishing long-term monitoring stations in Spanish rivers and streams, focused on the detection of climate and global changes.

3. Online upload of the entire formatted database, and user-friendly web-access operative.

4. Thematic maps indicating location and consistency of observed changes with climate and land use changes.