Models, Data, Technology, and Politics: Climate Science in Historical Context

模型、数据、技术和政治：历史背景下的气候科学

• 批准号: 9710616
• 负责人: Paul Edwards
• 金额: $ 10.53万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-09-01 至 1999-07-20
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9710616&HistoricalAwards=false
• 关键词: Models; Data; Technology; Politics; Climate

This proposal would support final research and writing of a book on three key aspects of climate science as it has evolved since World War II: climate models (especially global general circulation models), networks for gathering global meteorological data, and new technologies for modeling, data collection, and data treatment (primarily computers and satellites). Developments in these areas-the most essential underpinnings of modern climate science-were tightly intertwined and interdependent. The book will illuminate the significance of these interdependencies by framing them within a broader political history. Early weather and climate models were developed in a Cold War context, including weather and climate control as possible weapons of war. Later in the Cold War, with the International Geophysical Year and successor international projects, international collaboration for data collection served as part of a trust-building agenda. With the rise of the environmental movement, global climate change began to achieve recognition as a policy issue. Anthropogenic global warming became an important public policy issue beginning in 1988. Since then, global climate change has been among the most hotly debated science-based policy issues in the international arena. Involving library and archival research and oral history interviews, this project will result in numerous articles and presentations, as well as one of the first book-length histories of climate science. The book will explain how such models work, where climate data come from and how they are processed, and how technological development has influenced the nature of knowledge about climate change. It will also treat the important topic of science/policy interaction. Finally, the book will contribute to our understanding of a crucial, but insufficiently studied form of globalization: the dissemination of scientific knowledge, techniques, and instrumentation. Global data networks require high levels of standardization, creating new commonalities in practice and understanding worldwide. With the emergence of climate politics, they are among the forces creating concepts of global systems, global problems, and global common interests.

该提案将支持关于气候科学自二战以来发展的三个关键方面的最终研究和撰写一本书：气候模型（特别是全球大气环流模型）、收集全球气象数据的网络以及建模新技术，数据收集和数据处理（主要是计算机和卫星）。这些领域的发展——现代气候科学最重要的基础——紧密地交织在一起、相互依存。本书将通过将这些相互依存关系置于更广泛的政治历史中来阐明它们的重要性。早期的天气和气候模型是在冷战背景下开发的，包括将天气和气候控制作为可能的战争武器。冷战后期，随着国际地球物理年和后续国际项目的开展，数据收集的国际合作成为建立信任议程的一部分。随着环境运动的兴起，全球气候变化开始被视为一个政策问题。自1988年起，人为全球变暖成为一个重要的公共政策问题。此后，全球气候变化一直是国际舞台上争论最激烈的科学政策问题之一。该项目涉及图书馆和档案研究以及口述历史访谈，将产生大量文章和演示文稿，以及第一本气候科学历史书籍之一。本书将解释这些模型如何运作、气候数据从何而来、如何处理，以及技术发展如何影响气候变化知识的性质。它还将讨论科学/政策互动的重要主题。最后，本书将有助于我们理解全球化的一种重要但尚未充分研究的形式：科学知识、技术和仪器的传播。全球数据网络需要高水平的标准化，从而在全球实践和理解中创造新的共性。随着气候政治的出现，它们成为创造全球体系、全球问题和全球共同利益概念的力量之一。