Title
Two-year assessment of nowcasting performance in the CASA system
Abstract
Nowcasting refers to short-term automated forecasting (0-6 hours or less) of high-impact weather events such as heavy rainfall that can produce severe flooding. Accurate and efficient nowcasting can be used to assist emergency managers in the decision-making process. This paper presents an evaluation of nowcasting performance within the Collaborative Adaptive Sensing of the Atmosphere (CASA) system from the 2009-2010 Integrative Project 1 (IP1) experiment. The nowcasting methodology consists of the Dynamic and Adaptive Radar Tracking of Storms (DARTS) method for motion estimation and a sine kernel-based advection method. Radar reflectivity fields were predicted up to 10 min into the future. Previous analysis is extended to include data over a two year period using Critical Success Index (CSI), False Alarm Ratio (FAR), Probability of Detection (POD), and Mean Absolute Error (MAE) scores for evaluation. Analysis of the categorical scores (i.e., CSI, POD, FAR) relative to scoring threshold and neighborhood is also presented.
Year
DOI
Venue
2011
10.1109/IGARSS.2011.6049791
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
adaptive radar,floods,hydrological techniques,rain,remote sensing by radar,weather forecasting,AD 2009 to 2010,CASA system,Collaborative Adaptive Sensing of the Atmosphere system,DARTS method,Dynamic and Adaptive Radar Tracking of Storms method,Integrative Project 1 experiment,critical success index,decision making process,detection probability,emergency manager,false alarm ratio,heavy rainfall,high impact weather event,mean absolute error,motion estimation,nowcasting performance,radar reflectivity,severe flooding,short term automated forecasting,sine kernel based advection method,Discrete Fourier transforms,linear systems,meteorological radar,prediction methods
Radar,Meteorology,False positive rate,Radar tracker,Computer science,Categorical variable,Remote sensing,Motion estimation,Weather forecasting,Statistical power,Nowcasting
Conference
ISSN
ISBN
Citations 
2153-6996
978-1-4577-1003-2
1
PageRank 
References 
Authors
0.50
0
3
Name
Order
Citations
PageRank
Evan Ruzanski1213.89
Chandrasekar, V.282.44
Delbert Willie310.50