HR: 08:40h
AN: A11G-03    [Abstracts]
TI: Advanced Numerical Prediction and Modeling of Tropical Cyclones Using WRF-NMM modeling system
AU: * Gopalakrishnan, S G
EM: gopal@noaa.gov
AF: S.G.Gopalakrishnan Hurricane Research Division AOML/OAR/DOC, 4301 Rickenbacker Causeway, Miami, FL 33149, United States
AU: Rogers, R F
EM: Robert.Rogers@noaa.gov
AF: S.G.Gopalakrishnan Hurricane Research Division AOML/OAR/DOC, 4301 Rickenbacker Causeway, Miami, FL 33149, United States
AU: Marks, F D
EM: Frank.Marks@noaa.gov
AF: S.G.Gopalakrishnan Hurricane Research Division AOML/OAR/DOC, 4301 Rickenbacker Causeway, Miami, FL 33149, United States
AU: Atlas, R
EM: Robert.Atlas@noaa.gov
AF: S.G.Gopalakrishnan Hurricane Research Division AOML/OAR/DOC, 4301 Rickenbacker Causeway, Miami, FL 33149, United States
AB: Dramatic improvement in tropical cyclone track forecasts have occurred through advancements in high quality observations, high speed computers and improvements in dynamical models. Similar advancements now need to be made for tropical cyclone intensity, structure and rainfall prediction. The Weather Research Forecasting Model (WRF) is a general purpose, multi-institutional mesoscale modeling system. A version of the WRF model called the HWRF/WRF-NMM modeling system, developed at the National Center for Environmental Protection (NCEP) was recently adopted for hurricane forecasting (Gopalakrishnan et al, 2006) by the National Hurricane Center (NHC). At the Hurricane Research Division (HRD/AOML/OAR) we are developing and further advancing a research version of this modeling system. This work is done in collaboration with the Developmental Test bed Center (DTC), Boulder, CO, Global Systems division (GSD/ESRL/OAR), Boulder, CO, The Air Resources Laboratory (ARL/OAR), Washington, D.C., the U.S. university community, the Indian Institute of Technology, IIT.Delhi, India, and the India Meteorological Department, New Delhi, India Our modeling effort includes advancing the WRF system for Ensemble Hurricane Forecasting, advancing our understanding of Ensemble-vs- High Resolution Forecasting of Hurricanes, advancing WRF/WRF-NMM with better analysis techniques (e.g. Four Dimensional Data Assimilation) for improving forecasts and above all, advancing our understanding of hurricane processes using a high resolution numerical modeling approach. Examples of some of these applications will be shown here. Reference: NCEP's Two-way-Interactive-Moving-Nest NMM-WRF modeling system for Hurricane Forecasting, S.G. Gopalakrishnan, N. Surgi, R. Tuleya, and Z. Janjic 27th Conference on Hurricanes and Tropical Meteorology, 24- 28 April 2006, Monterey, California.
DE: 3315 Data assimilation
DE: 3322 Land/atmosphere interactions (1218, 1631, 1843)
DE: 3339 Ocean/atmosphere interactions (0312, 4504)
DE: 3354 Precipitation (1854)
DE: 3374 Tropical meteorology
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting