Journal article
Hydro-NEXRAD-2: real-time access to customized radar-rainfall for hydrologic applications
Journal of hydroinformatics, Vol.15(2), pp.580-590
04/01/2013
DOI: 10.2166/hydro.2012.227
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.
Details
- Title: Subtitle
- Hydro-NEXRAD-2: real-time access to customized radar-rainfall for hydrologic applications
- Creators
- Witold F Krajewski - University of IowaAnton Kruger - University of IowaSatpreet Singh - Orbitz Worldwide LLC, Chicago, IL 60606, USABong-Chul Seo - University of IowaJames A Smith - Princeton University
- Resource Type
- Journal article
- Publication Details
- Journal of hydroinformatics, Vol.15(2), pp.580-590
- DOI
- 10.2166/hydro.2012.227
- ISSN
- 1464-7141
- eISSN
- 1465-1734
- Language
- English
- Date published
- 04/01/2013
- Academic Unit
- Civil and Environmental Engineering; Electrical and Computer Engineering; IIHR--Hydroscience and Engineering
- Record Identifier
- 9984197232102771
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