Tuesday, 24 January 2012: 4:15 PM
High Altitude Imaging Wind and Airborne Profiler—Real-Time Data Goals and Challenges
La Nouvelle A (New Orleans Convention Center )
The High-altitude Imaging Wind and Rain Profiler (HIWRAP) is a new multi-beam conical scan Doppler radar at Ku- and Ka-band that was developed under the NASA Instrument Incubator Program (IIP) for mapping the 3-dimensional tropospheric and atmospheric winds and ocean surface vector winds. The tropospheric and atmospheric winds are derived from multi-look Doppler volume backscatter from clouds and precipitation particles that serve as tracers for these winds. This technique has been proven with the NOAA Tail Doppler Radar and the Imaging Wind and Rain Airborne Profiler from the NOAA WP-3D aircraft. The ocean vector surface winds are derived from HIWRAP's Ku-band ocean backscatter measurements in the same manner as used with Seawinds on QuikSCAT (i.e. ocean vector wind scatterometry). HIWRAP flew on the NASA Global Hawk for the first time over four tropical storms/hurricanes during Genesis and Rapid Intensification Processes (GRIP) in 2010. Winds are one of the most important properties to measure in hurricanes for both understanding hurricane dynamics and for providing inputs for data assimilation for improving forecast model accuracy. HIWRAP's capability to observe and map these winds from 70kft while deployed on the NASA Global Hawk provide a unique opportunity for acquiring target wind observations for data assimilation and furthering hurricane intensification research. The current HIWRAP system does not have real time capability and data is processed generally well after the flights over a storm. The prospect for real-time HIWRAP products is very powerful for both the science and operational community. Providing the real-time products will present significant challenges for HIWRAP since the data volume is huge and high-speed real-time processing will be necessary on the Global Hawk in an unattended mode. In this presentation, we will provide an overview of planning activity for real-time data products along with the challenges associated with this effort.
Supplementary URL: