Title :
CASA dual-doppler system
Author :
Chandrasekar, V. ; Martinez, Matthew ; Zhang, Sean
Author_Institution :
Colorado State Univ., Fort Collins, CO, USA
Abstract :
Conventional radar networks are limited at warning against low-altitude wind hazards such as tornadoes and micro-bursts due to the combined effects of their long range, far spacing, and Earth´s curvature. The Collaborative Adaptive Sensing of the Atmosphere (CASA) Engineering Research Center aims to solve these limitations through dual-Doppler systems operating in densely-spaced short range radar networks. The CASA test bed radar network incorporate the Distributed Collaborative Adaptive Sensing (DCAS) model in order to optimize scanning and retrieval for fast Doppler wind field products. Under the DCAS environment, fast coordinated sector scans are made by each radar based on weather detection and competitive end-user needs. The retrieval subsystem then makes the best pair selection for dual-Doppler synthesis based on optimal beam-crossing angles for target areas. Together, they create a fast, accurate, and robust dual-Doppler system suitable for weather emergency warnings.
Keywords :
Doppler radar; meteorological radar; storms; weather forecasting; CASA dual-Doppler system; DCAS model; Doppler wind field product; Earth curvature; collaborative adaptive sensing of the atmosphere; densely-spaced short range radar network; distributed collaborative adaptive sensing; dual-Doppler synthesis; low-altitude wind hazard; optimal beam-crossing angle; retrieval subsystem; tornado; weather detection; weather emergency warning; weather radar; Doppler radar; Reflectivity; Sensors; Tornadoes; Wind; CASA; Doppler; wind retrieval;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5650954