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  • Viktoriya Krylova

    Climate Vulnerabilities in Central Asia: Universities and Policy Mainstreaming

    Year: 2024

    Collections: Policy Briefs

    Topics: Climate

    Authors: Zhakenova Saltanat, Arsen Tleppayev, Nodir Djanibekov, Viktoriya Krylova

    Countries: Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan, Turkmenistan

    Source:

    Universities and academia in Central Asia play a crucial role in addressing climate change impacts, including rising temperatures, diminishing water resources, and increased frequency of extreme weather events threatening agriculture and livelihoods. Academic efforts must prioritize research on tailored adaptation strategies to foster resilience and sustainability. However, there's an underrepresentation of climate change research from Central Asia, emphasizing the urgent need for expanded research efforts.



  • Vorogushyn Sergiy

    Technical Note: Why Methods Matter. A Guidance for Data-based Climate and Hydrological Change Assessments

    Year: 2016

    Collections: Short Communications

    Topics: Water, Climate, Agriculture, Sustainable Development, IWRM

    Authors: Unger-Shayesteh Katy, Gerlitz Lars, Vorogushyn Sergiy

    Countries: Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan, Turkmenistan

    Source: Central Asian Journal of Water Research

    An important topic of the journal “Integrated Water Resources Management in Central Asia” will be the assessment of past and future changes in climate and water resources in Central Asia. This technical note aims at providing guidance for sound data-based assessment of changes to be published in this journal. The main requirements for achieving credible results are (1) the use of consistent data series, (2) the selection of appropriate change detection methods, and (3) the discussion of the results, their uncertainties and limitations. Using an example of trend analysis, it is exemplarily shown how inhomogeneities in a data series, the selection of start and end points, the applied methods, and temporal aggregation may affect the results of change studies.



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