An improved meteorological radar data inversion precision algorithm based on constrained evolution strategy

2012 ◽  
Author(s):  
Huan-Tong Geng ◽  
You-Bing Lu ◽  
Jian Zhang ◽  
Dan Zhou
Keyword(s):  
Radar Data ◽  
Evolution Strategy ◽  
Data Inversion ◽  
Constrained Evolution ◽  
Meteorological Radar

Classification Of Dual-polarisation Meteorological Radar Data

2005 ◽  
Author(s):  
L. Alparone ◽  
G. Benelli ◽  
A. Freni ◽  
D. Giuli ◽  
S. Minuti
Keyword(s):  
Radar Data ◽  
Meteorological Radar

A multi-agent system for meteorological radar data management and decision support

2009 ◽  
Vol 24 (11) ◽  
pp. 1264-1273 ◽  
Author(s):  
Ioannis N. Athanasiadis ◽  
Marios Milis ◽  
Pericles A. Mitkas ◽  
Silas C. Michaelides
Keyword(s):  
Decision Support ◽  
Data Management ◽  
Radar Data ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent ◽  
Meteorological Radar

scholarly journals Towards the Next Generation Operational Meteorological Radar

2021 ◽  
pp. 1-69
Author(s):  
Mark Weber ◽  
Kurt Hondl ◽  
Nusrat Yussouf ◽  
Youngsun Jung ◽  
Derek Stratman ◽  
...  
Keyword(s):  
Flash Flood ◽  
Beam Steering ◽  
Radar Data ◽  
Severe Weather ◽  
Flood Warning ◽  
Radar Network ◽  
Additional Improvement ◽  
Meteorological Radar ◽  
Low Altitude ◽  
Assess Data Quality

AbstractThis article summarizes research and risk reduction that will inform acquisition decisions regarding NOAA’s future national operational weather radar network. A key alternative being evaluated is polarimetric phased-array radar (PAR). Research indicates PAR can plausibly achieve fast, adaptive volumetric scanning, with associated benefits for severe-weather warning performance. We assess these benefits using storm observations and analyses, observing system simulation experiments, and real radar-data assimilation studies. Changes in the number and/or locations of radars in the future network could improve coverage at low altitude. Analysis of benefits that might be so realized indicates the possibility for additional improvement in severe-weather and flash-flood warning performance, with associated reduction in casualties. Simulations are used to evaluate techniques for rapid volumetric scanning and assess data quality characteristics of PAR. Finally, we describe progress in developing methods to compensate for polarimetric variable estimate biases introduced by electronic beam-steering. A research-to-operations (R2O) strategy for the PAR alternative for the WSR-88D replacement network is presented.

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