Results 161 to 170 of about 935 (210)

NEXRAD product improvement overview

Proceedings of the IEEE 1997 National Aerospace and Electronics Conference. NAECON 1997, 2002
The National Weather Service, in cooperation with their Next Generation Weather Radar (NEXRAD) partners in the Department of Defense (DoD) and Department of Transportation (DOT), are currently planning and executing a scientific and technical evolution of the Weather Surveillance Radar-1988 Doppler (WSR-88D) system.
R.E. Saffle, L.D. Johnson
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ARSR/NEXRAD Operational Comparison

Air Traffic Control Quarterly, 1994
The National Weather Service, Federal Aviation Administration, and Department of Defense are in the process of fielding the Next Generation Weather Radars (NEXRAD).
Brian E. Dunbar, Jeffrey P. Mittelman, Michael J. Dixon   +2 more
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NEXRAD Detection of Hazardous Turbulence

44th AIAA Aerospace Sciences Meeting and Exhibit, 2006
*† ‡ Historical data suggest that over 60% of turbulence-related aviation accidents are due to convectively-induced turbulence (CIT), a phenomenon that is particularly difficult to forecast accurately. In order to provide airline dispatchers, air traffic controllers, and pilots an improved tactical and strategic decision support tool for the avoidance ...
John Williams, Larry Cornman, Jaimi Yee, Steven Carson, Gary Blackburn, Jason Craig   +5 more
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An algorithm to improve the NEXRAD rain rate estimates

2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
A Doppler WSR-88D radar (NEXRAD) is currently operating in Cayey (East of PR, at 886 m). Reflectivity and rain rate (Z-R) relationships were developed using a dense network of rain gauges to validate radar estimates. These equations intent to correct the radar estimates for seasonal effects.
Nazario D. Ramirez, Sandra Cruz-Pol, Xiomara Ortiz, Joan M. Castro, Robert Kuliwoski   +4 more
openaire   +1 more source

NEXRAD Radar for Flood Prediction in Houston

Journal of Hydrologic Engineering, 2000
Due to a number of hydrologic and meteorologic factors, Houston, Texas, is subject to major flooding problems. The National Weather Service's (NWS) WSR-88D radar (NEXRAD) was used to estimate the areal and spatial distribution of rainfall for three storms over the Brays Bayou watershed in Houston for hydrologic modeling purposes.
Philip B. Bedient, Brian C. Hoblit, Dawn C. Gladwell, Baxter E. Vieux   +3 more
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An Intercomparison Study of NEXRAD Precipitation Estimates

Water Resources Research, 1996
Systematic biases in WSR‐88D (Weather Surveillance Radar–1988 Doppler) hourly precipitation accumulation estimates are characterized from analyses of more than 1 year of WSR‐88D data and rain gage data from the southern plains. Biases are examined in three contexts: (1) biases that arise from the range‐dependent sampling of the WSR‐88D, (2) systematic ...
James A. Smith, Dong Jun Seo, Mary Lynn Baeck, Michael D. Hudlow   +3 more
openaire   +1 more source

Building a terabyte NEXRAD radar database for hydrometeorology research

Computers & Geosciences, 2006
The management and processing of terabyte-scale radar data sets is time-consuming, costly, and an impediment to research. Researchers require rapid and transparent access to the data without being encumbered with the technical challenges of data management.
Anton Kruger, Ramon Lawrence, Eduard Constantin Dragut   +2 more
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Development of a classification algorithm for operational polarimetric NEXRAD radar

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
Classification of meteorological and nonmeteorological radar echoes will be one of the key functions of the operational polarimetric NEXRAD radar. In this paper, basic principles of the classification for several cases are presented. The data were obtained from the polarimetric prototype of the NEXRAD radar.
Alexander V. Ryzhkov, Dusan Zrnic, Richard Doviak, Pengfei Zhang   +3 more
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A geostatistical method for Texas NexRad data calibration

Environmetrics, 2007
AbstractRainfall is one of the most important hydrologic model inputs and is recognized as a random process in time and space. Rain gauges generally provide good quality data, however they are usually too sparse to capture the spatial variability. Radar estimates provide a better spatial representation of rainfall patterns, but they are subject to ...
Bo Li, Marian Eriksson, Raghavan Srinivasan, Michael Sherman   +3 more
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A physical basis for NEXRAD data update rates

Journal of Aircraft, 1984
The Next Generation Weather Radar (NEXRAD) is slated to play an important role in the integrated and automated air traffic control system being currently planned by the Federal Aviation Administration One major point of debate is the minimum rate at which weather data collected by NEXRAD must be updated so that no phenomena potentially hazardous to ...
Pravas R. Mahapatra, Dusan S. Zrnic
openaire   +1 more source