Development of integrative LES-CRM-SCM-NWP evaluation framework and demonstration with RACORO cases

 

Authors

Yangang Liu — Brookhaven National Laboratory
Ann M. Fridlind — NASA - Goddard Institute for Space Studies
Satoshi Endo — Brookhaven National Laboratory
Zhanqing Li — University of Maryland
Andrew M. Vogelmann — Brookhaven National Laboratory
Tami Fairless — Pacific Northwest National Laboratory

Wuyin Lin — Brookhaven National Laboratory
Anthony D. Del Genio — National Aeronautics and Space Administration
Leo Donner — Geophysical Fluid Dynamics Laboratory
Robin J. Hogan — University of Reading

Category

Modeling

Description

Physical processes associated with the aerosol-cloud-precipitation system occur over a wide range of time-space scales and are often investigated using different types of models and for different purposes, including large-eddy simulations (LES), cloud-resolving models (CRM), numerical weather prediction (NWP) models, and single-column models (SCM). In view of the multiscale nature of the cloud-processes and their parameterizations, it is desirable to have a comprehensive evaluation framework that integrates the different types of models. While still maintaining what individual models can accomplish, such an integrative-model evaluation framework also permits better understanding of multiscale processes and diagnosis of potential parameterization deficiencies. Further, the integrative model framework provides a unique way to better capitalize on the various detailed, high-temporal, and vertical resolution ARM measurements designed for a domain of a global climate model (GCM) grid size.

Here we introduce a prototype of such a framework developed under the Fast-Physics System Testbed and Research (FASTER) project and demonstrate its utility and potential by applying it to cases from the Routine AAF Clouds with Low Optical Water Depths (CLOWD) Optical Radiative Observations (RACORO) field campaign. Also explored are the potentials of a Weather Research and Forecasting (WRF)-based multiscale data assimilation system in generating multiscale data and assisting the integrative model evaluation.