P1.11 ON PROVIDING A CLOUD-BALANCED INITIAL CONDITION FOR DIABATIC INITIALIZATION

INTRODUCTION Inclusion of clouds in an initial condition has been a long-term goal of many numerical weather prediction systems. The work with the ARPS model and ADAS initialization has been a notable example (Xue, et al., 2000). Work by Crook and Sun, 1997 has taken this even into the realm of the model adjoint. What we seek in this work is an a 3-D static analysis that can provide the kind of sophistication of the systems above, but at the same time run efficiently on small computer systems in local weather offices. The Local Analysis and Prediction System (LAPS: McGinley, et al., 1991) was developed as a goanywhere assimilation system for local weather offices. LAPS is a UNIX-based set of software designed to accept all sources of local data: satellite, mesonet, profiler, radar, aircraft, etc. and provide high resolution analyses on whatever computer hardware was available. LAPS has been ported to a number of sites worldwide. One of the unique components of LAPS is the cloud analy