Parameters and code for estimating methane emissions from Arctic-boreal lakes, 2022

This data set accompanies a paper (Kyzivat & Smith, 2023, https://doi.org/10.1029/2023GL104825) looking at the relative importance of three variables in upscaling Arctic lake methane emissions: the area of small, non-inventoried lakes; lake aquatic vegetation coverage; and potential double counting with wetlands. A baseline bottom-up emissions estimate based on temperature and lake area is provided for all inventoried lakes within the Boreal-Arctic Wetland and Lake Dataset (BAWLD, Olefeldt et al., 2021, https://doi.org/10.18739/A2C824F9X), with estimates for extrapolated lake area bins below the inventory resolution. The data set includes two comma separated value (CSV) files with an index column corresponding to either lakes in the HydroLAKES inventory (Messager et al., 2016; https://www.hydrosheds.org/products/hydrolakes), or grid cells in BAWLD. The global surface water data set (GSW, Pekel et al., 2016) was used to derive lake aquatic vegetation (LAV) and potential wetland double-counting, defined as areas within lakes corresponding to less than 50% water occurrence. A third CSV dataset provides estimates for lake and aquatic vegetation areas and methane emissions for extrapolated area bins corresponding to lakes below the 0.5 km2 inventory threshold used in the paper. The python package developed for this data analysis is also included. Further details are given below and in the accompanying publication.

本数据集配套Kyzivat与Smith于2023年发表的论文（https://doi.org/10.1029/2023GL104825），该研究旨在探究北极湖泊甲烷排放尺度上推过程中三类变量的相对重要性：未纳入调查名录的小型湖泊面积、湖泊水生植被覆盖率，以及与湿地的潜在重复统计。研究基于温度与湖泊面积，为北方-北极湿地与湖泊数据集（Boreal-Arctic Wetland and Lake Dataset, BAWLD，Olefeldt等，2021，https://doi.org/10.18739/A2C824F9X）内所有已完成调查登记的湖泊提供了基准自下而上排放估算，并针对低于调查名录分辨率的外推湖泊面积区间给出了对应估算结果。本数据集包含两个逗号分隔值（Comma Separated Value, CSV）文件，其索引列分别对应HydroLAKES调查名录（Messager等，2016；https://www.hydrosheds.org/products/hydrolakes）中的湖泊，或BAWLD中的网格单元。研究采用全球地表水面数据集（Global Surface Water, GSW，Pekel等，2016）推导得到湖泊水生植被（Lake Aquatic Vegetation, LAV）与潜在湿地重复统计区域——该区域定义为湖泊内水体出现率低于50%的范围。第三个CSV数据集针对本文所采用的0.5 km²调查名录阈值以下的湖泊，给出了对应外推面积区间的湖泊与水生植被面积及甲烷排放估算值。本研究开发的Python分析工具包也随本数据集一同提供。更多细节详见下文及本配套发表论文。