SWICCA
SWICCA

SWICCA offers readily available climate-impact data to speed up the workflow in climate-change adaptation of water management across Europe.

The Service for Water Indicators in Climate Change Adaptation (SWICCA) project serves as a proof-of-concept for a Sectorial Information Service on water management to Copernicus Climate Change Services. The aim of the project is to bridge the gap between institutes who provide climate-impact data on one side, and water managers and policy makers on the other side. This is mainly done through co-design and capacity development among consultants and agencies, known as ‘knowledge purveyors’, who act as the interface between data providers and water managers. The goal is to add value to data and ensure that available information is useful for water management at local and regional scale across Europe. SWICCA project will offer:

  • New climate-impact indicators, representing past climate, seasonal forecasts, and different time-slices in the future.
  • Pan-European spatial patterns of the projected changes as ensemble means.
  • Download functions of indicator statistics in any chosen area for the full ensemble.
  • Tools for downscaling and correction, to adapt each indicator to local conditions.
  • Instructions, tutorial videos, and examples from case-studies on how to use the climate-impact indicators in a local workflow of water management.
  • Capacity building of consultant companies by participation in the SWICCA learning network and web-based forum for knowledge brokerage.

isardSAT contributed with its EO expertise, identifying relevant data sources for climate and water management based on user requests and also, specifying requirements for the data and suggesting content and functionalities for the metadata catalogue of Climate Data Store (CDS).

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Team

Swedish Meteorological and Hydrological Institute (SMHI), Wageningen Environmental Research (Alterra), Stichting Wageningen Research, EMVIS Symvouloi Michanikoi Anonymi Etaireia, GECOsistema, Dipl. – Ing Günter Humer GmbH, isardSAT, MicroStep-MIS, TU Dortmund University, University of Córdoba, Universitat Politècnica de València, Wageningen University, Dept Environmental Sciences

Duration

2014-2016

Tags

hydrology, agriculture, soil moisture