整合用户和数据驱动的天气预报,为全球南方的小农提供合法,可信和突出的信息服务
Spyridon Paparrizos1, Raffaele Vignola2, Samuel J Sutanto2
1Earth Systems and Global Change Group, Wageningen University and Research, P.O. Box 47, 6700 AA, Wageningen, The Netherlands. spyros.paparrizos@wur.nl.
Scientific reports
|October 1, 2024
概括
全球南方的小农可以通过使用混合天气预报 (HF) 来改善气候适应. 将当地生态知识与科学预测 (SF) 结合起来,可以建立信任并支持气候智能农业.
科学领域:
- 农业科学 农业科学
- 气候科学 气候科学
- 信息技术 信息技术 信息技术
背景情况:
- 小农面临着与气候有关的重大风险,影响他们的生计和粮食安全.
- 对量身定制的天气信息的有限访问迫使人们依赖当地生态知识.
- 现有的气候服务往往对雨水农业缺乏特定环境的相关性.
研究的目的:
- 开发和评估混合天气预报 (HF),整合当地和科学预报.
- 加强小型农民的气候智能适应性决策.
- 提高全球南方农民对气候变化的适应力.
主要方法:
- 与危地马拉,孟加拉国和加纳的农民合作开发当地天气预报 (LF).
- 将LF与科学天气预报 (SF) 集成,以创建HF.
- 利用需求驱动的,基于移动应用程序的气候服务.
主要成果:
- 混合天气预报 (HF) 提高了气候服务的合法性和可信性.
- 农民对高频表现出越来越大的信任和参与.
- 高频率促进了熟练的,气候智能的适应性农业决策.
结论:
- 混合天气预报有效地支持小农农民适应气候变化.
- 将当地知识与科学数据相结合,可以提高气候服务的可用性和影响.
- 这种方法加强了全球南方农民的性.
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