Nowcasting rainfall fields estimated from specific differential phase

Author

Ruzanski, Evan ; Chandrasekar, V.

Author_Institution

Colorado State Univ., Fort Collins, CO, USA

fYear

2010

fDate

25-30 July 2010

Firstpage

4694

Lastpage

4697

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Conference_Location

Honolulu, HI

ISSN

2153-6996

Print_ISBN

978-1-4244-9565-8

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2010.5649941

Filename

5649941