TAMDAR Observation Assimilation in WRF 3D-Var and Its Impact on Hurricane Ike (2008) Forecast  

作　　者：Hong-Li WANG Xiang-Yu HUANG 

机构地区：[1]Mesoscale and Microscale Meteorology Division, National Center for Atmospheric Research, Boulder, Colorado, USA

出　　处：《Atmospheric and Oceanic Science Letters》2012年第3期206-211,共6页大气和海洋科学快报（英文版）

基　　金：funded by the Air Dat project;The National Center for Atmospheric Research is sponsored by the National Science Foundation

摘　　要：This study evaluates the impact of atmospheric observations from the Tropospheric Airborne Meteorological Data Reporting (TAMDAR) observing system on numerical weather prediction of hurricane Ike (2008) using three-dimensional data assimilation system for the Weather Research and Forecast (WRF) model (WRF 3D-Var). The TAMDAR data assimilation capability is added to WRF 3D-Var by incorporating the TAMDAR observation operator and corresponding observation processing procedure. Two 6-h cycling data assimilation and forecast experiments are conducted. Track and intensity forecasts are verified against the best track data from the National Hurricane Center. The results show that, on average, assimilating TAMDAR observations has a positive impact on the forecasts of hurricane Ike. The TAMDAR data assimilation reduces the track errors by about 30 km for 72-h forecasts. Improvements in intensity forecasts are also seen after four 6-h data assimilation cycles. Diagnostics show that assimilation of TAMDAR data improves subtropical ridge and steering flow in regions along Ike's track, resulting in better forecasts.This study evaluates the impact of atmospheric observations from the Tropospheric Airborne Meteorological Data Reporting （TAMDAR） observing system on numerical weather prediction of hurricane Ike （2008） using three-dimensional data assimilation system for the Weather Research and Forecast （WRF） model （WRF 3D-Var）. The TAMDAR data assimilation capability is added to WRF 3D-Var by incorporating the TAMDAR observation operator and corresponding observation processing procedure. Two 6-h cycling data assimilation and forecast experiments are conducted. Track and intensity forecasts are verified against the best track data from the National Hurricane Center. The results show that, on average, assimilating TAMDAR observations has a positive impact on the forecasts of hurricane Ike. The TAMDAR data assimilation reduces the track errors by about 30 km for 72-h forecasts. Improvements in intensity forecasts are also seen after four 6-h data assimilation cycles. Diagnostics show that assimilation of TAMDAR data improves subtropical ridge and steering flow in regions along Ike＇s track, resulting in better forecasts.

关 键 词：data assimilation TAMDAR numerical weather prediction HURRICANE WRF 

分 类 号：P422[天文地球—大气科学及气象学] P456.7