Water data for climate resilience

As climate variability and extremes increasingly challenge water security across the globe, the International Water Management Institute (IWMI) is stepping up its efforts to provide data-driven solutions that strengthen resilience and inform adaptive responses. IWMI collects and integrates data to improve the assessment of the impacts of climate change on water resources and extremes.  

IWMI develops models, tools and methods to assess the effectiveness and tradeoffs of adaptation under a range of future scenarios to ensure that climate change adaptation is based on scientific knowledge of (local) future climate change. IWMI’s work:  

  • Assesses climate and water risks and develop knowledge products, platforms and dashboards to support anticipatory action to manage current and future risks at multiple scales 
  • Develops methodologies and tools for hydrological forecasting on timescales ranging from weeks to decades to improve management of water, land, food and ecosystems 
  • Creates technical tools to help stakeholders (e.g., government, private sector and farmers) manage climate risks and extremes 
  • Expands methods and tools for addressing water management issues in Asian and African urban areas 

Contact

Giriraj Amarnath

Giriraj Amarnath

Research Group Leader – Water Data for Climate Resilience / Principal Researcher – Disaster Risk Management and Climate Resilience

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Displaying 4 publications
Analyzing farm household strategies for food security and climate resilience: the case of climate-smart villages of Southeast Asia
2018
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Solar Irrigation for Agriculture Resilience (SoLAR): a new SDC [Swiss Agency for Development and Cooperation]-IWMI regional partnership (5/27/2019)
Solar Irrigation for Agriculture Resilience (SoLAR): a new SDC [Swiss Agency for Development and Cooperation]-IWMI regional partnership
2018
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The water-energy-food nexus: climate risks and opportunities in southern Africa
Water, 2018
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Assessing the impact of the MRBI [Mississippi River Basin Healthy Watersheds Initiative] program in a data limited Arkansas Watershed using the SWAT model
Agricultural Water Management, 2018
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