Despite efforts and investments to integrate weather and climate knowledges, often dichotomized into the scientific and the local, a top-down practice of science communication that tends to ignore cultural consensus knowledge still prevails. This paper presents an empirical application of cultural consensus analysis for climate risk management. It uses mixed methods such as focus groups, freelisting, pilesorting, and rapid ethnographic assessment to understand farmers’ knowledge of weather and climate conditions in Barangay Biga, Oriental Mindoro, Philippines. Multi-dimensional scaling and aggregate proximity matrix of items are generated to assess the similarity among the different locally perceived weather and climate conditions. Farmers’ knowledge is then qualitatively compared with the technical classification from the government’s weather bureau. There is cultural agreement among farmers that the weather and climate conditions can be generally grouped into wet, dry, and unpredictable weather (Maria Loka). Damaging hazards belong into two subgroups on the opposite ends of the wet and dry scale, that is, tropical cyclone is grouped together with La Niña, rainy season, and flooding season, while farmers perceive no significant difference between El Niño, drought, and dry spells. Ethnographic information reveals that compared to the technocrats’ reductive knowledge, farmers imagine weather and climate conditions (panahon) as an event or a phenomenon they are actively experiencing by observing bioindicators, making sense of the interactions between the sky and the landscape, and the agroecology of pest and diseases, while being subjected to agricultural regulations on irrigation, price volatility, and control of power on subsidies and technologies. This situated local knowledge is also being informed by forecasts and advisories from the weather bureau illustrating a hybrid of technical science, both from the technocrats and the farmers, and personal experiences amidst agricultural precarities. Speaking about the hybridity of knowledge rather than localizing the scientific obliges technocrats and scientists to productively engage with different ways of knowing and the tensions that mediate farmers' knowledge as a societal experience.

尽管人们为整合通常被分为科学和本地知识的天气和气候知识进行了努力和投入，但自上而下的科学传播实践仍然普遍存在，这种实践往往会忽视文化共识知识。本文介绍了文化共识分析在气候风险管理中的经验应用。它使用焦点小组，自由列表，桩排序和人种志快速评估等混合方法来了解农民在菲律宾东方民都洛的Barangay Biga的天气和气候条件知识。生成项目的多维标度和汇总邻近矩阵，以评估不同的局部感知的天气和气候条件之间的相似性。然后将农民的知识与政府气象局的技术分类进行定性比较。农民之间达成文化共识，即天气和气候条件通常可以分为潮湿，干燥和不可预测的天气（玛丽亚·洛卡（Maria Loka）。破坏性危害在干湿两用的相对两端分为两个亚组，即热带气旋与拉尼娜，雨季和洪水季节组合在一起，而农民认为厄尔尼诺，干旱和干旱之间没有显着差异。咒语。人种学信息显示，与技术专家的还原知识相比，农民想象天气和气候条件（panahon）作为事件或现象，他们正在观察生物指示剂，了解天空与地貌之间的相互作用以及病虫害的农业生态，并受到农业有关灌溉，价格波动和电力控制的法规的约束，正在积极体验补贴和技术。气象局的预报和咨询也提供了这种当地的知识，说明了技术专家和农民之间的技术科学混合，以及在农业危机中的个人经验。说到知识的混合性而不是局部化科学，使技术官僚和科学家有义务有效地利用不同的认识方式以及将农民的知识作为一种社会经验进行调解的张力。