A country cannot mitigate or adapt to climate change without first strengthening skills and the knowledge to do so. The CTCN works with network members and local stakeholders to provide information, training and support to build and/or strengthen the capacity of developing countries to identify, maintain and adapt climate technology solutions. Capacity building and training can enable decision-makers to initiate change on local and national level. As part of this effort, the CTCN strives to develop analytical tools, policies and best practices for country-driven climate mitigation and adaptation. Below you will find related publications, partners, CTCN technical assistance, technologies and other information for exploring this topic further.
Capacity building and training
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Date of submissionPhaseCompletedCountriesObjectiveCross-sectoral enablerApproach
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Date of submissionPhaseDesignCountriesObjectiveSectorsCross-sectoral enabler
This Technology Transfer Advances Tanzania's
- Nationally Determined Contribution to enhance the use of renewable energy potential, including geothermal, and reduce greenhouse gas emissions economy wide between 10-20% by 2030 relative to the BAU scenario of 138 - 153 Million tones of carbon dioxide equivalent (MtCO2e).
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Date of submissionPhaseCompletedCountriesObjectiveCross-sectoral enablerApproach
This Technology Transfer Advances Bhutan's
- Nationally Determined Contribution and the needs recognized therein to "enhance climate information services for vulnerability and adaptation assessment and planning" and "develop a monitoring, assessment, and warning systems for flash flood and landslide hazards and risks"
Context
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Date of submissionPhaseCompletedCountriesObjectiveCross-sectoral enabler
This Technology Transfer Advances Georgia's
- Nationally Determined Contribution to improve country’s preparedness and adaptive capacity by developing climate resilient practices that reduce vulnerability of highly exposed communities. Establishment of Early warning systems for climate related extreme events is considered as priority measure by the Government of Georgia.
Context
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Date of submissionPhaseCompletedCountriesObjectiveCross-sectoral enablerApproach
This Technology Transfer Advances Ghana's
- Nationally Determined Contribution to increase climate resilience and decrease vulnerability for agriculture and food security sector, by adopting disaster prevention actions such as early warning systems.
Context
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Date of submissionPhaseCompletedCountriesObjectiveCross-sectoral enablerApproach
This Technology Transfer Advances Thailand's
- Nationally Determined Contribution to
- Strengthen disaster risk reduction and reduce population’s vulnerability to climate risk and extreme weather events through enhanced awareness, coordination and adaptive capacity of local communities, especially in the disaster risk-prone areas
- Nationally Determined Contribution to
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Knowledge partnerCountry of registrationUnited StatesRelation to CTCNNetwork MemberSector(s) of expertiseAgricultureAgriculture and forestryEarly warning and Environmental assessment
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries.
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Knowledge partnerCountry of registrationTimor-LesteRelation to CTCNNetwork MemberSector(s) of expertiseEarly warning and Environmental assessmentWaterInfrastructure and Urban planning
Similie connects clients to innovative and tailored solutions for data collection, management, and analysis, while maximizing efficiency and minimizing risk.
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Knowledge partnerCountry of registrationUnited StatesRelation to CTCNNetwork MemberSector(s) of expertiseCross-sectoralEarly warning and Environmental assessmentAgriculture and forestry
The Enterprise Neurosystem is an AI/ML open source research community, currently working with the United Nations (UNFCCC) and AIM For Climate on solutions for climate change.
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Publication dateObjectiveSectorsCross-sectoral enabler
This piece was developed together with Dr.