ARM User Facility Products and Tools Supporting ACI and Climate Prediction Efforts

New observational datasets of atmospheric state and key atmospheric processes and quantifying observational uncertainties are essential to better understand different feedback mechanisms and reduce climate projection uncertainties. The U.S. Department of Energy Atmospheric Radiation Measurement (ARM) user facility aims to alleviate these and other deficiencies and needs by providing tools and comprehensive suites of advanced in-situ and remote-sensing ground-based and airborne observations. Here, we present some of the new retrievals and high-level data products developed at ARM, leveraging machine learning (ML) and other advanced techniques. These ML-augmented multi-instrument retrievals provide useful microphysical quantities accompanied by uncertainty estimates such as microphysical properties of ice precipitation in sub-cloud profiles, hydrometeor phase classification profiles, and aerosol size distributions covering an extensive size spectrum. Finally, we also present a set of ARM-supported tools to bridge between ARM observations and model simulations, such as the Earth Model Column Collaboratory (EMC2) and the LES ARM Symbiotic Simulation and Observation (LASSO).