The code of Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates

<strong>RAPAS</strong> is a Regional multi-Air Pollutant Assimilation System, which can quantitatively optimize gridded source emissions of CO, SO₂, NO_x, primary PM_2.5 and coarse PM₁₀ on regional scale via simultaneously assimilating surface measurements of CO, SO₂, NO₂, PM_2.5 and PM₁₀. These codes correspond to the paper entitled "A Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates: system development and application". <strong>3DVar</strong> directory contains original GSI DA codes and extended codes by the author used to optimize CMAQ initial conditions. <strong>EnKF</strong> directory contains DA codes originally created by the author used to optimize emissions.<strong>RAPAS</strong>（区域多空气污染物同化系统，Regional multi-Air Pollutant Assimilation System）可通过同步同化CO、SO₂、NO₂、PM₂.₅与PM₁₀的地面观测数据，在区域尺度上对CO、SO₂、NOₓ、一次PM₂.₅及粗颗粒物PM₁₀的网格化源排放进行定量优化。本套代码对应发表于题为《用于排放估算的区域多空气污染物同化系统（RAPAS v1.0）：系统开发与应用》的学术论文。<strong>3DVar</strong>（三维变分数据同化，Three-Dimensional Variational Data Assimilation）目录包含作者用于优化CMAQ初始条件的原始GSI数据同化代码及扩展代码。<strong>EnKF</strong>（集合卡尔曼滤波，Ensemble Kalman Filter）目录包含作者原创的数据同化代码，用于优化排放清单。