Measurements, Models, and Hypotheses in the Atmospheric Sciences
Measurements, Models, and Hypotheses in the Atmospheric Sciences
复制标题
大气科学中的测量、模型和假设
DOI：
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发表时间：
1997
期刊：
影响因子：
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通讯作者：
B. Wielicki
中科院分区：
文献类型：
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作者：
D. Randall;B. Wielicki
大气科学中的测量有时确定普遍函数，但更常见的是以案例研究的形式收集数据。模型是概念性的构造，可用于对测量结果进行预测。假设可以用模型结果来表达，而测量的最佳用途是证明这些假设是错误的。应该避免调整模型，因为它会干扰证伪。如果测试某些类型的模型的最低数据要求能够标准化，模型与数据的比较将更加容易。
Measurements in atmospheric science sometimes determine universal functions, but more commonly data are collected in the form of case studies. Models are conceptual constructs that can be used to make predictions about the outcomes of measurements. Hypotheses can be expressed in terms of model results, and the best use of measurements is to falsify such hypotheses. Tuning of models should be avoided because it interferes with falsification. Comparison of models with data would be easier if the minimum data requirements for testing some types of models could be standardized.