Development of the AOML Hurricane Research System

NOAA's Atlantic Oceanographic and Meteorological Laboratory (AOML) has committed to the development of a modeling and data-assimilation system recently. This Hurricane Research System (HRS) aims to improve hurricane forecast by developing innovative modeling techniques, and by assimilating the hurricane inner-core data that is timely collected with aircrafts by the scientists at the AOML Hurricane Research Division (HRD), in addition to the data collected by other channels. We have started the development of the HRS by implementing a moving nest within a regional domain on the Weather Research and Forecasting (WRF) Nonhydrostatic Mesoscale Model (NMM). The dynamically moving nest is used to track the hurricane with an enhanced resolution to better simulate the hurricane structure with more accurate dynamical and physical processes. Combining with the diagnostic expertise at the HRD, and benefiting from the community efforts, we have quickly composed the HRS with excellent ingredients from various organizations. This baseline system has been in experimental operation for this hurricane season, and early result with these experiments seems quite promising. We have also developed a new visualization tool and an efficient post-processor emphasizing diagnostic functionality to facilitate hurricane research. Further development of the HRS includes the implementation of a third, moving nest to advance the model resolution to 1 km or higher with the limited computing resource. Innovative model initialization techniques and versatile hurricane-diagnostic tools are undergoing development. An Ensemble Kalman Filter is being constructed for the HRS to assimilate observation data. Physical parameterizations are being refined to improve the forcing and heating mechanisms, and ocean model coupling is to be implemented for realistic air-sea interactions. We will report the status up to date.