Managing water resources under new climatic extremes in the Main river basin, Germany
ARSINOE is an EU-funded project aimed at developing the methodological framework for the combination of System Innovation Approach (SIA) with the Climate Innovation Window (CIW) to create an ecosystem for climate change adaptation solutions. The project will work to create this ecosystem with a thre...
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ftzenodo:oai:zenodo.org:7984974 2024-09-15T18:35:32+00:00 Managing water resources under new climatic extremes in the Main river basin, Germany Ralf Ludwig Gunnar Braun Raul Wood Florian Willkofer Teresa Perez Ciria 2022-03-22 https://doi.org/10.5281/zenodo.7984974 unknown Zenodo https://zenodo.org/communities/arsinoe_eu_project https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.7984973 https://doi.org/10.5281/zenodo.7984974 oai:zenodo.org:7984974 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Tag der Hydrologie 2022, Munich (Germany) info:eu-repo/semantics/conferencePoster 2022 ftzenodo https://doi.org/10.5281/zenodo.798497410.5281/zenodo.7984973 2024-07-26T19:01:28Z ARSINOE is an EU-funded project aimed at developing the methodological framework for the combination of System Innovation Approach (SIA) with the Climate Innovation Window (CIW) to create an ecosystem for climate change adaptation solutions. The project will work to create this ecosystem with a three-tier, approach show-cased in nine widely varied regions across Europe (demonstrators), as a proof of concept with regards to its applicability, replicability, potential and efficacy. Challenges for water resources management in Bavaria – the „Main River“ case study: • RATIONALE - Region is at risk for being pushed beyond its resilience threshold and will need a new level of responsiveness to cope with climate change. • BARRIERS - Limited awareness on severity of regional climate change impacts; Science-society-policy interface operates below capacity; CC related innovations and methodologies propagate too slow into practice; Responsibilities in preparing/responding to CC between private and public bodies remains vague and requires a harmonized structure. • Climate change induced changes on the hydrology in Bavaria (results from the ClimEx project; www.climex-project.eu) Acknowledgements: The CRCM5 was developed by the ESCER centre of Université du Québec à Montréal (UQAM; www.escer.uqam.ca) in collaboration with Environment and Climate Change Canada. We acknowledge Environment and Climate Change Canada's Canadian Centre for Climate Modelling and Analysis for executing and making available the CanESM2 Large Ensemble simulations used in this study, and the Canadian Sea Ice and Snow Evolution Network for proposing the simulations. Conference Object Sea ice Zenodo |
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ARSINOE is an EU-funded project aimed at developing the methodological framework for the combination of System Innovation Approach (SIA) with the Climate Innovation Window (CIW) to create an ecosystem for climate change adaptation solutions. The project will work to create this ecosystem with a three-tier, approach show-cased in nine widely varied regions across Europe (demonstrators), as a proof of concept with regards to its applicability, replicability, potential and efficacy. Challenges for water resources management in Bavaria – the „Main River“ case study: • RATIONALE - Region is at risk for being pushed beyond its resilience threshold and will need a new level of responsiveness to cope with climate change. • BARRIERS - Limited awareness on severity of regional climate change impacts; Science-society-policy interface operates below capacity; CC related innovations and methodologies propagate too slow into practice; Responsibilities in preparing/responding to CC between private and public bodies remains vague and requires a harmonized structure. • Climate change induced changes on the hydrology in Bavaria (results from the ClimEx project; www.climex-project.eu) Acknowledgements: The CRCM5 was developed by the ESCER centre of Université du Québec à Montréal (UQAM; www.escer.uqam.ca) in collaboration with Environment and Climate Change Canada. We acknowledge Environment and Climate Change Canada's Canadian Centre for Climate Modelling and Analysis for executing and making available the CanESM2 Large Ensemble simulations used in this study, and the Canadian Sea Ice and Snow Evolution Network for proposing the simulations. |
format |
Conference Object |
author |
Ralf Ludwig Gunnar Braun Raul Wood Florian Willkofer Teresa Perez Ciria |
spellingShingle |
Ralf Ludwig Gunnar Braun Raul Wood Florian Willkofer Teresa Perez Ciria Managing water resources under new climatic extremes in the Main river basin, Germany |
author_facet |
Ralf Ludwig Gunnar Braun Raul Wood Florian Willkofer Teresa Perez Ciria |
author_sort |
Ralf Ludwig |
title |
Managing water resources under new climatic extremes in the Main river basin, Germany |
title_short |
Managing water resources under new climatic extremes in the Main river basin, Germany |
title_full |
Managing water resources under new climatic extremes in the Main river basin, Germany |
title_fullStr |
Managing water resources under new climatic extremes in the Main river basin, Germany |
title_full_unstemmed |
Managing water resources under new climatic extremes in the Main river basin, Germany |
title_sort |
managing water resources under new climatic extremes in the main river basin, germany |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://doi.org/10.5281/zenodo.7984974 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Tag der Hydrologie 2022, Munich (Germany) |
op_relation |
https://zenodo.org/communities/arsinoe_eu_project https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.7984973 https://doi.org/10.5281/zenodo.7984974 oai:zenodo.org:7984974 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.798497410.5281/zenodo.7984973 |
_version_ |
1810478715914682368 |