GCRF African Science for Weather Information and Forecasting Techniques (African SWIFT)

GCRF 非洲天气信息和预报技术科学 (非洲 SWIFT)

• 批准号: NE/P021077/1
• 负责人: Alan Blyth
• 金额: $ 1015.72万
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FP021077%2F1
• 关键词: GCRF; African; Science; Weather; Information

The GCRF African Science for Weather Information and Forecasting Techniques (GCRF African-SWIFT) programme aims to develop a sustainable research capability in tropical weather forecasting which will enhance the livelihood of African populations and improve the economies of their countries. Improved forecasts will address key aspects of the UK Aid strategy. The results will be translatable beyond the partner countries to other nations of Africa and the developing world more widely. In order to improve African weather prediction, fundamental scientific research is needed, in the physics of tropical weather systems, evaluation and presentation of complex model and satellite data, and communication and exploitation of forecasts. The programme will develop research capability to yield ongoing forecasting improvements in the coming decades.The overall aims of the project are to:I. Make research advances needed for significant improvements in weather forecasts in Africa, and the tropics more generally, from the hourly to the seasonal timescale.II. Build capability among UK and African partners to improve, maintain and evaluate operational tropical forecasts in future.III. Assist African partners in developing capacity for sustained training of forecasters, in partnership with African academic institutions and international agencies.Our strategy to increase research capability with societal impact is to build upon existing partnerships between forecasting centres and universities within four partner countries (Senegal, Ghana, Nigeria and Kenya) and within the UK. In-country partnerships combine the strengths of academic and operational perspectives and provide sustainability. The project is embedded within the long-term structures and strategies for international coordination for the region. Specifically, our programme addresses the aims of the World Meteorological Organisation (WMO; project partner).The potential applications and benefits are:A. New research capability in observing, modelling and evaluating forecasts of tropical high-impact weather;B. Robust networks of African scientists with capability to advance the science in this field, and pull the science through into operational impact;C. Significant improvements in weather forecasts, as evaluated using tested methods;D. New forecasting tools used operationally for short-term (0-120h) and S2S prediction;E. Significant impact on the regional strategy for provision of user-focussed, quality-controlled weather forecasts, as overseen by the WMO;F. More effective use of weather forecasts to the benefit of African people and nations.

全球气候研究基金非洲科学促进天气信息和预报技术方案旨在发展热带天气预报方面的可持续研究能力，这将提高非洲人民的生活水平，改善非洲国家的经济。改进的预测将解决联合王国援助战略的关键问题。其成果将从伙伴国家推广到非洲其他国家和更广泛的发展中世界。为了改进非洲的天气预报，需要在热带天气系统的物理学、复杂模型和卫星数据的评价和介绍以及预报的传播和利用方面进行基础科学研究。该方案将发展研究能力，以便在今后几十年不断改进预报工作。二.在研究方面取得必要进展，以显著改善非洲和更广泛的热带地区的天气预报，从每小时到季节的时间尺度。在英国和非洲伙伴之间建立能力，以改善、维持和评估未来的热带业务预报。与非洲学术机构和国际机构合作，协助非洲伙伴发展持续培训预报员的能力，我们提高具有社会影响力的研究能力的战略是在四个伙伴国家（塞内加尔、加纳、尼日利亚和肯尼亚）和联合王国内的预报中心和大学之间现有伙伴关系的基础上发展。国内伙伴关系联合收割机结合了学术和业务观点的优势，并提供了可持续性。该项目已纳入该地区国际协调的长期结构和战略。具体而言，我们的计划旨在实现世界气象组织（WMO;项目合作伙伴）的目标。在观测、模拟和评价热带高影响天气预报方面的新的研究能力;B。强大的非洲科学家网络，有能力推进这一领域的科学，并将科学转化为实际影响;使用测试方法评估的天气预报的显著改进;D.新的预报工具用于短期（0- 120小时）和S2 S预报;E.对由世界气象组织监督的提供以用户为中心、质量可控的天气预报的区域战略产生重大影响;更有效地利用天气预报，造福非洲人民和国家。

项目成果

Determinants of choice of climate change adaptation practices by smallholder pineapple farmers in the semi-deciduous forest zone of Ghana

• DOI: 10.1016/j.indic.2021.100140
• 发表时间: 2021-08-13
• 期刊: ENVIRONMENTAL AND SUSTAINABILITY INDICATORS
• 影响因子: 4.3
• 作者: Antwi-Agyei, Philip;Wiafe, Esther Ako;Codjoe, Samuel Nii Ardey
• 通讯作者: Codjoe, Samuel Nii Ardey

Nowcasting convective activity for the Sahel: A simple probabilistic approach using real-time and historical satellite data on cloud-top temperature

萨赫勒地区对流活动的临近预报：利用云顶温度的实时和历史卫星数据的简单概率方法

• DOI: 10.1002/qj.4607
• 发表时间: 2024
• 期刊: Quarterly Journal of the Royal Meteorological Society
• 影响因子: 8.9
• 作者: Anderson S

Potential effects of Land Use Land Cover Change on streamflow over the Sokoto Rima River Basin.

• DOI: 10.1016/j.heliyon.2022.e09779
• 发表时间: 2022-07
• 期刊: HELIYON
• 影响因子: 4
• 作者: Achugbu, Ifeanyi Chukwudi;Olufayo, Ayo Akinlabi;Balogun, Ifeoluwa Adebowale;Dudhia, Jimy;McAllister, Molly;Adefisan, Elijah Adesanya;Naabil, Edward
• 通讯作者: Naabil, Edward

African Handbook of Climate Change Adaptation

非洲气候变化适应手册

• DOI: 10.1007/978-3-030-45106-6_97
• 发表时间: 2021
• 作者: Akeh U

Overview of surface to near-surface atmospheric profiles over selected domain during the QWeCI project

QWeCI 项目期间选定区域的地表到近地表大气剖面概述

• DOI: 10.1007/s00703-018-0618-1
• 发表时间: 2018
• 期刊: Meteorology and Atmospheric Physics
• 影响因子: 2
• 作者: Aryee J