Climate classification systems for validating Earth system models

Andrés Navarro, F. Tapiador
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Abstract

Climate Classification Systems (CCSs) were developed in the 19th century to explain the global distribution of plants and animals, but were given a new life in the Earth physics community in the 21st century as a means to validate Earth System Models (ESMs). The purpose of this paper is to critically review the evolution of this approach to validation and to discuss the current status. It is shown that CCSs can not only measure model performance, but also help identify and deconstruct systematic model biases. CCSs provide a rational and comprehensive zonation of the global environment using quantitative estimates of physical variables such as precipitation, temperature, and humidity. They offer several advantages over single variables due to the high sensitivity of the resulting classes to small changes in input variables and dimensionality reduction. CCSs encompass model behavior on both energy and water balances, allowing for a more comprehensive assessment of ESM performance.
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用于验证地球系统模型的气候分类系统
气候分类系统(CCS)是 19 世纪为解释全球动植物分布而开发的,但在 21 世纪被地球物理学界赋予了新的生命,成为验证地球系统模式(ESM)的一种手段。本文旨在批判性地回顾这种验证方法的演变,并讨论其现状。研究表明,综合气候系统不仅可以测量模式性能,还有助于识别和解构系统性模式偏差。综合气候系统利用对降水、温度和湿度等物理变量的定量估算,对全球环境进行合理而全面的分区。与单一变量相比,它们具有多个优势,因为所产生的类别对输入变量的微小变化具有高度敏感性,并能降低维度。综合气候控制系统包括能量和水分平衡的模型行为,可以对无害环境管理的性能进行更全面的评估。
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