Uncertainties from the UNFCCC National Inventory Reports (submission 2017)

Summary: This data repository contains the uncertainties of the national greenhouse-gas inventories submitted to the United Nations Framework Convention on Climate Change (UNFCCC). We extracted the data from the National Inventory Reports (NIR) submitted in 2017 covering the emission from 2015. We use the data in our study on "Estimating the uncertainty of the greenhouse gas extensions in Multi-Regional Input-Output analysis" submitted to the Journal of Earth System Science Data (ESSD): https://essd.copernicus.org/preprints/essd-2023-473/ Background: NIRs are only available in pdf-format which makes accessing them from computer impossible. Against this background, we extracted the uncertainty tables from the Annex of the NIR pdf documents in a semi-automated way using a set of Python and R scripts. To bring the uncertainty into a common format, manual data cleaning and adjustments were necessary due to different structuring and processing of uncertainty data by the parties. Data: We brought the data into the format provided in the IPCC 2006 guidelines (Volume 1, Chapter 3). The guidelines distinguish two approaches to uncertainty quantification, tier 1 based on analytical error propagation, and tier 2 based on Monte-Carlo simulations. For each, tier 1 and tier 2 uncertainties, the IPCC 2006 guidelines provide a distinct table template, a screenshot of which can be found in this repository under IPCC2006_table3-2 and IPCC2006_table3-3. Accordingly we provide two different data sets: tier1.csv containing the Tier 1 uncertainties structured according to Table 3.2 of the IPCC 2006 guidelines (see IPCC2006_table3-2) tier2.csv containing the Tier 2 uncertainties structured according to Table 3.2 of the IPCC 2006 guidelines (see IPCC2006_table3-3) Compared to the table templates from the IPCC 2006 guidelines we added three identifying columns to each dataset: party: Name of the party year: Inventory year (2015 for all items) LULUCF: if emissions from Land use, land-use change, and forestry (LULUCF) are included (incl) or excluded (excl) in the inventory. Background: parties often publish two versions of the uncertainty table: One including emissions from Land use, land-use change, and forestry (LULUCF), one excluding. Moreover, we split the column A into two columns category and classification and renamed the original column A into A_raw.Summary: 本数据集仓库收录了提交至《联合国气候变化框架公约（United Nations Framework Convention on Climate Change, UNFCCC）》的国家温室气体清单相关不确定性数据。我们从2017年提交的、涵盖2015年排放数据的国家清单报告（National Inventory Reports, NIR）中提取了相关数据。本数据用于我们投稿至《地球系统科学数据杂志（Journal of Earth System Science Data, ESSD）》的研究论文《多区域投入产出分析中温室气体扩展的不确定性估算》，预印本链接为：https://essd.copernicus.org/preprints/essd-2023-473/ Background: 国家清单报告（NIR）仅以PDF格式发布，无法直接通过计算机读取获取。基于此背景，我们通过一系列Python与R脚本，以半自动化方式从NIR PDF文档的附件中提取了不确定性表格。由于各缔约方对不确定性数据的结构化与处理方式存在差异，为将数据统一为标准格式，需开展手动数据清理与调整工作。 Data: 我们将数据整理为《政府间气候变化专门委员会（Intergovernmental Panel on Climate Change, IPCC）2006年指南》（第一卷第三章）中规定的格式。该指南将不确定性量化方法分为两类：一类是基于解析误差传播的一级（Tier 1）方法，另一类是基于蒙特卡洛（Monte-Carlo）模拟的二级（Tier 2）方法。针对一级与二级不确定性，《IPCC 2006年指南》分别提供了专属的表格模板，其截图可在本仓库的IPCC2006_table3-2与IPCC2006_table3-3文件中查看。 据此，我们提供两类数据集： 1. tier1.csv：包含按照《IPCC 2006年指南》表3.2（详见IPCC2006_table3-2）结构化的一级不确定性数据； 2. tier2.csv：包含按照《IPCC 2006年指南》表3.3（详见IPCC2006_table3-3）结构化的二级不确定性数据。 相较于《IPCC 2006年指南》中的表格模板，我们为每类数据集新增了三列标识字段： - party：缔约方名称 - year：清单年度（所有条目均为2015年） - LULUCF：清单中是否包含土地利用、土地利用变化与林业（Land use, land-use change, and forestry, LULUCF）排放，取值为包含（incl）或排除（excl）。补充背景：缔约方通常会发布两类不确定性表格，一类包含LULUCF排放，另一类则不包含。 此外，我们将原列A拆分为category与classification两列，并将原列A重命名为A_raw。