DocumentCode
576086
Title
High resolution rainfall mapping in the Dallas-Fort Worth urban demonstration network
Author
Chen, Haonan ; Chandrasekar, V.
Author_Institution
Colorado State Univ. Fort Collins, Fort Collins, CO, USA
fYear
2012
fDate
22-27 July 2012
Firstpage
1936
Lastpage
1939
Abstract
Flooding is one of the most catastrophic disasters in the world. Radar rainfall estimation for flash flood forecasting in small, urban catchments is an important accomplishment of CASA. A Kdp (specific differential propagation phase) based rainfall algorithm was developed using the Kdp values of X-band radars. The performance of this rainfall algorithm is evaluated for all major rainfall events using a gauge network in the center of CASA IP1 test bed for a 5- year period. The cross comparison with gauge estimates shows great improvement compared to the current state-of-the-art. Since the beginning of 2012, CASA has been involved in developing the first urban weather demonstration network in Dallas-Fort Worth (DFW) area. This paper will summarize the performance of the radar rainfall product in the IP1 network. In addition, the implementation of CASA QPE (quantitative precipitation estimation) system in DFW Urban Demonstration Network will also be presented.
Keywords
atmospheric techniques; disasters; floods; meteorological instruments; meteorological radar; rain; CASA IP1 test bed; CASA QPE system; DFW Urban Demonstration Network; Dallas-Fort Worth urban demonstration network; IP1 network; Kdp value; Texas; USA; X-band radar; catastrophic disaster; flash flood forecasting; flooding; gauge estimate; gauge network; high resolution rainfall mapping; quantitative precipitation estimation system; radar rainfall estimation; radar rainfall product; rainfall algorithm; rainfall event; small urban catchment; specific differential propagation phase; urban weather demonstration network; Estimation; Floods; Meteorological radar; Radar measurements; Rain; CASA; QPE; Radar; urban flooding;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351123
Filename
6351123
Link To Document