@article{Wimmer2022a,
author = {Wimmer, Meryl and Raynaud, Laure and Descamps, Laurent and Berre, Loïk and Seity, Yann},
title = {Sensitivity analysis of the convective-scale AROME model to physical and dynamical parameters},
journal = {Quarterly Journal of the Royal Meteorological Society},
volume = {148},
number = {743},
pages = {920-942},
keywords = {AROME, model uncertainty, Morris screening, parametrization, sensitivity analysis, Sobol' indices},
doi = {https://doi.org/10.1002/qj.4239},
url = {https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.4239},
eprint = {https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.4239},
abstract = {Abstract A global sensitivity analysis of the convective-scale Application of Research to Operations at Mesoscale (AROME) model is performed in order to determine the most influential parameters on the forecast of different near-surface variables. For that purpose, the Morris method is applied to 21 parameters from six different physical and dynamical parametrization schemes, over different seasons. Results highlight a set of eight parameters with a noticeable influence on most variables, in particular 10 m wind speed and precipitation forecasts. The sensitivity of parameter uncertainties is also examined on different spatio-temporal scales. A clear diurnal cycle of parameters influence is observed in summer, in close connection with the convective activity. In addition, the spatial distribution of parameters influence is mostly consistent with the underlying distribution of weather forecasts. A Sobol' sensitivity analysis, based on surrogate models, mostly confirms Morris conclusions and highlights some interactions between parameters.},
year = {2022}
}