Evaluating and improving the sand storm numerical simulation performance in Northwestern China using WRF-Chem and remote sensing soil moisture data

This paper aims to test the ability of WRF-Chem model simulate sand storms in Northwest China and improve simulation results by introducing remote sensing soil moisture data into WRF-Chem. We conducted sensitivity tests, including parameterization scheme tests using By comparing various combinations schemes, which have considerable impacts on emissions, most suitable for was selected establishing models future research. Based optimal combination emissions tested, indicating that has a substantial influence revealing nonlinear relationship between moisture. Although simulations are sensitive moisture, emission volume does not always increase with decreasing content. Moreover, content simulated is quite different from observed satellites. Therefore, we ten occurred 2009–2018, weak, moderate strong storms, explore responses intensities Some experiments were two scenarios: scenario A only WRF-Chem, B designed replacing initial field satellite AMSR2 AMSR-E. Comparing in-situ ground-based satellite-based measurements indicates can capture some but weak needs be greatly improved. After becomes more accurate, substantially improving results. Among AOD (aerosol optical depth) PM10 accuracies improved five seven respectively. this improvement, correlation coefficient reach 0.63, 0.60. • The screened out best storm northwestern China. Improved data. better need ability.