B.6: Constraints from CLARREO shortwave and IR hyperspectral radiances on size-dependent dust emissions: An OSSE Xiaoguang Xu, Jun Wang, Yi Wang, Daven Henze, Li Zhang, Georg Grell, Stuart McKeen, Bruce Wielicki global models obs. operator synthetic obs. FIM-Chem nature Run Dust emissions Satellite emulator GEOS-Chem adjoint The Climate Absolute Radiance and Refractivity Observatory (CLARREO) mission observes hyperspectral Earth reflected solar (RS) radiation and emitted infrared radiance (IR). Such spectrally resolved measurements span an additional dimension that contains information on the spectrally dependent scattering and absorption of dust, and can embody critical signals for recovering changes in dust emission of different dust particle sizes. In our study, we designed an OSSE framework that includes FIM-Chem for nature run, GEOS-Chem ajdoint for data assimilation, and UNL-VRTM radiative transfer model to emulate CLARREO hyperspectral data. With which, we explore the spectral signatures of dust particles of different sizes and advantage of CLARREO hyperspectral radiances for determining size-dependent dust emissions. Radiative transfer We perform a suite of OSSEs to explore the spectral signatures of dust particles of different sizes and advantage of CLARREO hyperspectral radiances for determining size-dependent dust emissions.