Abstract
Hydro-NEXRAD-2 (HNX2) is a prototype system that allows hydrologic users real-time access to NEXRAD radar data in support of a wide range of research. The system processes basic radar data (Level II) and delivers radar-rainfall products based on the user's custom selection of features such as spatial domain, rainfall product space and time resolution, and rainfall estimation algorithms. HNX2 collects real-time, unprocessed data from multiple NEXRAD radars as they become available, processes them through a user-configurable pipeline of data-processing modules, and publishes the processed data-products at regular intervals. Modules in the data-processing pipeline encapsulate algorithms such as non-meteorological echo detection, radar range correction, radar-reflectivity-rain rate (Z-R) conversion, echo advection correction, mosaicking of products from multiple radars, and grid projections and transformations. This paper describes the challenges involved in HNX2's development and implementation, which include real-time error-handling, time-synchronization of data from multiple asynchronous sources, generation of multiple-radar metadata products, and distribution of products to a user base with diverse needs and constraints. HNX2 publishes products through automation and allows multiple users access to published products. Currently, HNX2 is serving near real-time rain-rate maps for Iowa in the USA using data from seven radars covering the state. Hydrologic models operated by The University of Iowa's Iowa Flood Center use these products. © IWA Publishing 2013.
Recommended Citation
W. F. Krajewski et al., "Hydro-NEXRAD-2: Real-time Access To Customized Radar-rainfall For Hydrologic Applications," Journal of Hydroinformatics, vol. 15, no. 2, pp. 580 - 590, IWA Publishing, Jan 2013.
The definitive version is available at https://doi.org/10.2166/hydro.2012.227
Department(s)
Civil, Architectural and Environmental Engineering
Publication Status
Free Access
Keywords and Phrases
Hydro-NEXRAD; NEXRAD; Real-time rainfall estimation; Super-resolution
International Standard Serial Number (ISSN)
1464-7141
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2023 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Jan 2013
