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.本数据集配套于研究论文（Kyzivat & Smith, 2023, https://doi.org/10.1029/2023GL104825），该研究探讨了北极湖泊甲烷排放向上缩放过程中三个变量的相对重要性：未纳入调查名录的小型湖泊面积、湖泊水生植被（Lake Aquatic Vegetation，简称LAV）覆盖率，以及与湿地的潜在重复统计问题。 研究基于温度与湖泊面积，为北极-寒带湿地与湖泊数据集（Boreal-Arctic Wetland and Lake Dataset，简称BAWLD，Olefeldt等，2021, https://doi.org/10.18739/A2C824F9X）内所有已纳入调查名录的湖泊提供了基准自下而上排放估算，并针对低于调查分辨率的外推湖泊面积区间提供了估算结果。 本数据集包含两个逗号分隔值（Comma Separated Value，简称CSV）文件，其索引列分别对应HydroLAKES调查名录中的湖泊（Messager等，2016; https://www.hydrosheds.org/products/hydrolakes），或BAWLD中的网格单元。 本研究采用全球地表水体数据集（Global Surface Water，简称GSW，Pekel等，2016）推导得到湖泊水生植被（LAV）与潜在湿地重复统计区域——即湖泊内水体出现率低于50%的区域。 第三个CSV数据集则提供了对应低于论文中0.5 km²调查阈值的湖泊的外推面积区间的湖泊与水生植被面积、甲烷排放估算结果。本研究开发的数据分析Python包也随数据集一并提供。 更多细节详见下文及配套发表论文。