The High Order Conservative Method for the Parameters Estimation in a PM<sub>2.5</sub> Transport Adjoint Model

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Experiment</td><td class="align_center">Fuzhou</td><td class="align_center">Quanzhou</td><td class="align_center">Jinan</td><td class="align_center">Beijing</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Cressman</td><td class="align_center">2.27</td><td class="align_center">8.43</td><td class="align_center">27.79</td><td class="align_center">12.21</td></tr><tr><td class="align_left">PPM <svg height="11.5564pt" id="M164" style="vertical-align:-2.26807pt" version="1.1" viewbox="-0.0498162 -9.28833 15.3928 11.5564" width="15.3928pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M300 -147C201 -63 143 98 143 270S200 602 300 686L282 710C136 610 70 450 70 271V270C70 89 136 -72 282 -170L300 -147Z" id="g113-41"></path></g><g transform="matrix(.013,0,0,-0.013,4.498,0)"><path d="M456 178V225H360V632H320C217 496 115 347 20 206V178H280V106C280 40 276 34 189 27V0H445V27C364 34 360 39 360 106V178H456ZM280 225H82C149 335 214 431 278 520H280V225Z" id="g113-53"></path></g><g transform="matrix(.013,0,0,-0.013,10.738,0)"><path d="M275 270C275 450 212 609 64 710L45 686C145 604 203 442 203 270S147 -63 45 -147L64 -170C213 -68 275 89 275 270Z" id="g113-42"></path></g></svg></td><td class="align_center">2.04</td><td class="align_center">8.18</td><td class="align_center">24.76</td><td class="align_center">8.22</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The MAE (<i>μ</i>g/m<sup>3</sup>) of four representative stations before and after assimilation.

Advances in Meteorology

tab6

Table 6

Table 6: The High Order Conservative Method for the Parameters Estimation in a PM<sub>2.5</sub> Transport Adjoint Model 

Advances in Meteorology

The High Order Conservative Method for the Parameters Estimation in a PM2.5 Transport Adjoint Model

Table 6

The High Order Conservative Method for the Parameters Estimation in a PM_2.5 Transport Adjoint Model