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Uncertainty reduction in Models For Understanding deveLopment Applications (UMFULA)

Uncertainty reduction in Models For Understanding deveLopment Applications (UMFULA)
降低理解开发应用模型 (UMFULA) 的不确定性
批准号:
NE/M020398/1
负责人:
Declan Conway
金额:
$110.47万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --

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中文摘要
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英文摘要
Central and Southern Africa (C&SA) exemplifies the issues that FCFA aims to address: a complex mix of remote and regional climate drivers that challenge conventional climate model simulations, high levels of poorly simulated multi-year climate variability, an extremely low level of investment in climate science relative even to other parts of Africa but particularly West Africa; high physical and socio-economic exposure to climate that projections indicate may become drier and more variable in the future; and low adaptive capacity resulting in decision-making and medium-term planning that is inhibited by significant political, institutional and economic barriers. Meanwhile economic growth and significant infrastructure planning is taking place within C&SA in the absence of adequate climate information.Deficient understanding of many key climate features in C&SA is one barrier to the integration of climate information into decision-making. UMFULA will provide a step-change in climate science in C&SA. Our objectives include: (i) fundamental research into key climate processes over C&SA and how these are dealt with in models; (ii) a process-based evaluation to determine how models invoke change and whether that change is credible; (iii) production of novel climate products (Work Packages WP1-2) encompassing convection permitting and very high resolution (c4 km) ocean-atmosphere coupled simulations that will reveal processes of high impact events and as yet unexplored complexities of the climate change signal. We will also focus on neglected but critical elements of the circulation such as the links between C&SA and the role of local features including the Angolan Low, Botswana anticyclone, Angola/Benguela Frontal Zone, and the Seychelles-Chagos thermocline ridge. Based on this research and through co-production with stakeholders we will generate improved and streamlined climate information for decision-makers (WP3).We will use a deliberative and participatory methodology to test findings from FCFA pillars 1 and 2 with stakeholders based on deep engagement in two contrasting case studies: the Rufiji river basin in Tanzania, and sub-national decision-making in Malawi. They are carefully selected as exemplars of multi-sector, multi-stakeholder, and multi-scale decision situations which can be compared for transferable lessons on the effective use of climate services.In-depth understanding of decision-making contexts, including political economy, theories of institutional change, and individual motivation from behavioural sciences will inform how to tailor and target climate projections for most effective use (WP4). The case study areas (WP5-6) will test these findings through a co-produced framework of C&SA-appropriate decision-making under climate uncertainty to identify robust climate services-informed intervention pathways (portfolios of policies and investments that could work well over a broad range of climatic and socio-economic futures). Our Capstone Work Package (WP7), and major outcome, will be the synthesis of best decision-making models and appraisal methods that are transferable in the African context and enable effective use of climate information in medium-term decision-making.The seven UMFULA Work Packages cut across the three FCFA pillars to ensure maximum complementarity and integration. We are a consortium with world-leading expertise in climate science, decision science and adaptation research and practice, together with stakeholder networks and strong, long-standing relationships in C&SA. We comprise 5 UK and 13 African institutions.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
A Regional Project in Support of the SADC Cyber-Infrastructure Framework Implementation: Weather and Climate
支持南部非洲发展共同体网络基础设施框架实施的区域项目:天气和气候
DOI: 10.5334/dsj-2019-034
发表时间: 2019
期刊: Data Science Journal
影响因子: --
作者: [Bopape M]
通讯作者: Bopape M
DOI: 10.1016/j.crm.2017.03.006
发表时间: 2017-01-01
期刊: CLIMATE RISK MANAGEMENT
影响因子: 4.4
作者: [Archer, Emma Rosa Mary, Landman, Willem Adolf, Marumbwa, Farai Maxwell]
通讯作者: Marumbwa, Farai Maxwell
Projecting future water availability in Lake Malawi and the Shire River basin
预测马拉维湖和夏雷河流域未来的可用水量
DOI: --
发表时间: 2019
期刊:
影响因子: --
作者: [Bhave A.]
通讯作者: Bhave A.
DOI: 10.1016/j.jhydrol.2020.124671
发表时间: 2020-05-01
期刊: JOURNAL OF HYDROLOGY
影响因子: 6.4
作者: [Bhave, Ajay G., Bulcock, Lauren, Mkwambisi, David]
通讯作者: Mkwambisi, David
7
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    ESRC Centre for Climate Change Economics and Policy - Transition Phase
    The economic impact of El Niño related floods and drought on small and medium enterprises in Botswana, Kenya and Zambia
    Southern Africa's hydro-economy and water security (SAHEWS)
    国内基金
    海外基金
    兼捕减少装置(Bycatch Reduction Devices, BRD)对拖网网囊系统水动力及渔获性能的调控机制
    • 批准号:
      32373187
    • 项目类别:
      面上项目
    • 资助金额:
      50万元
    • 批准年份:
      2023
    • 负责人:
      唐浩
    • 依托单位:
    转运蛋白RCP调控巨噬细胞脂肪酸氧化参与系统性红斑狼疮发病的机制研究
    • 批准号:
      82371798
    • 项目类别:
      面上项目
    • 资助金额:
      49.00万元
    • 批准年份:
      2023
    • 负责人:
      叶俊娜
    • 依托单位:
    某些非线性椭圆偏微分方程解的集中现象
    • 批准号:
      10926057
    • 项目类别:
      数学天元基金项目
    • 资助金额:
      3.0万元
    • 批准年份:
      2009
    • 负责人:
      王阳
    • 依托单位: