论文标题
使用Wasserstein Barycenters平均大气浓度数据
Averaging Atmospheric Gas Concentration Data using Wasserstein Barycenters
论文作者
论文摘要
高光谱卫星图像每天报告全球温室气体浓度。随着时间的流逝，对这些图像的简单平均值产生了相对排放率的粗略估计，但大气传输意味着简单的平均值无法查明这些排放的来源。我们建议使用Wasserstein Barycenters以及天气数据与平均气体浓度数据集，并更好地将质量集中在重要来源周围。
Hyperspectral satellite images report greenhouse gas concentrations worldwide on a daily basis. While taking simple averages of these images over time produces a rough estimate of relative emission rates, atmospheric transport means that simple averages fail to pinpoint the source of these emissions. We propose using Wasserstein barycenters coupled with weather data to average gas concentration data sets and better concentrate the mass around significant sources.
