Process Based Earth System Model Evaluation: Gridded Global Surface Ozone Metrics and Precursor species data collection for Atmospheric Chemistry Model Evaluation

This dataset collection presents a global surface ozone compilation for long-term trends and ESM (Earth System Model) evaluation.

The project (Process Based Earth System Model Evaluation) brought together all publicly available surface ozone observations from online databases from the modern era to build a consistent dataset for the evaluation of chemical transport and chemistry-climate (Earth System) models for projects such as the Chemistry-Climate Model Initiative (CCMI) and Aer-Chem-MIP.

From a total dataset of approximately 6600 sites and 500 million hourly observations from 1971-2015, approximately 2200 sites and 200 million hourly observations pass screening as high-quality sites in regional background locations that are appropriate for use in global model evaluation. There was generally good data volume in the datasets since the start of air quality monitoring networks in 1990 through to 2013. Ozone observations are biased heavily toward North America and Europe with sparse coverage over the rest of the globe.

This dataset collection was made available for the purposes of model evaluation as a set of gridded metrics intended to describe the distribution of ozone concentrations on monthly and annual timescales. This collection currently holds version 2.4 data only, but future versions may follow.

本数据集集合呈现了全球地表臭氧的长期趋势及地球系统模型（ESM）评估的综合汇编。该项目（基于过程的地球系统模型评估）汇集了自现代以来公开可用的地表臭氧观测数据，来源于在线数据库，旨在构建一个一致的数据集，以评估化学传输和化学-气候（地球系统）模型，例如化学-气候模型倡议（CCMI）和Aer-Chem-MIP项目。从总计约6600个站点和1971年至2015年间的5亿小时观测数据中，约2200个站点和2亿小时观测数据通过了筛选，成为适用于全球模型评估的区域背景高质站点。自1990年开始的空气质量监测网络至今，数据集普遍具有良好的数据量。臭氧观测数据主要集中在北美和欧洲，全球其他地区的覆盖较为稀疏。本数据集集合作为一组网格化指标集，旨在描述臭氧浓度的月度和年度分布情况。目前，该集合仅包含2.4版本的数据，未来可能会有后续版本更新。