Title :
Nowcasting rainfall fields estimated from specific differential phase
Author :
Ruzanski, Evan ; Chandrasekar, V.
Author_Institution :
Colorado State Univ., Fort Collins, CO, USA
Abstract :
This paper presents a preliminary evaluation of short-term prediction (nowcasting) of rainfall fields estimated from specific differential phase fields derived from Collaborative Adaptive Sensing of the Atmosphere X-band radar data. A Fourier-space, linear system-based nowcasting method used these rainfall fields as input to generate rainfall forecasts up to 20 min. The results show the extent to which specific differential phase-derived rainfall fields can be predicted and the utility of such predictions to be approximately 15 min.
Keywords :
atmospheric techniques; radar polarimetry; rain; remote sensing by radar; weather forecasting; Collaborative Adaptive Sensing of the Atmosphere X-band radar data; discrete Fourier transforms; linear systems; meteorological radar; nowcasting method; prediction methods; radar polarimetry; rainfall fields; specific differential phase fields; Discrete Fourier transforms; Estimation; Prediction algorithms; Radar measurements; Radar polarimetry; Storms; Discrete Fourier transforms; linear systems; meteorological radar; prediction methods; radar polarimetry;
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.2010.5649941
