P3G-8 Random Thinning of Segmented Annular Arrays

Author(s):  
O. Martinez ◽  
M. Parrilla ◽  
L. G. Ullate ◽  
G. Godoy ◽  
C. J. Martin
JSIAM Letters ◽  
2016 ◽  
Vol 8 (0) ◽  
pp. 37-40 ◽  
Author(s):  
Suguru Yamanaka ◽  
Hidetoshi Nakagawa ◽  
Masaaki Sugihara

2000 ◽  
Vol 85 (1-3) ◽  
pp. 33-37 ◽  
Author(s):  
O Martı́nez ◽  
L.G Ullate ◽  
A Ibáñez
Keyword(s):  

2016 ◽  
Vol 144 (5) ◽  
pp. 1697-1711 ◽  
Author(s):  
Heiner Lange ◽  
Tijana Janjić

Aircraft observations of wind and temperature collected by airport surveillance radars [Mode-S Enhanced Surveillance (Mode-S EHS)] were assimilated in the Consortium for Small-Scale Modeling Kilometre-scale Ensemble Data Assimilation (COSMO-KENDA), which couples an ensemble Kalman filter to a 40-member ensemble of the convection permitting COSMO-DE model. The number of observing aircrafts in Mode-S EHS was about 15 times larger than in the AMDAR system. In the comparison of both aircraft observation systems, a similar observation error standard deviation was diagnosed for wind. For temperature, a larger error was diagnosed for Mode-S EHS. With the high density of Mode-S EHS observations, a reduction of temperature and wind error in forecasts of 1 and 3 hours was found mainly in the flight level and less near the surface. The amount of Mode-S EHS data was reduced by random thinning to test the effect of a varying observation density. With the current data assimilation setup, a saturation of the forecast error reduction was apparent when more than 50% of the Mode-S EHS data were assimilated. Forecast kinetic energy spectra indicated that the reduction in error is related to analysis updates on all scales resolved by COSMO-DE.


2011 ◽  
Vol 38 (6Part26) ◽  
pp. 3718-3719
Author(s):  
JA Ketterling ◽  
O Aristizabal ◽  
J Mamou ◽  
E Filoux

2020 ◽  
Author(s):  
José Jiménez ◽  
Ben Augustine ◽  
Daniel W. Linden ◽  
Richard Chandler ◽  
J. Andrew Royle

2019 ◽  
Vol 86 (2) ◽  
pp. 82-92
Author(s):  
Mario Wolf ◽  
Andrè Juhrig ◽  
Katharina Rath ◽  
Felix Krujatz ◽  
Elfgard Kühnicke
Keyword(s):  

ZusammenfassungBei Hyperthermiebehandlungen ist eine ortsaufgelöste Temperaturüberwachung für eine erfolgreiche Krebstherapie notwendig. Dieser Beitrag stellt ein Verfahren vor, das es erlaubt, nicht nur relative Temperaturänderungen zu erfassen, sondern eine konkrete Zuordnung einer Temperatur zu einem Messpunkt durchzuführen. Mithilfe von Ultraschall-Annular-Arrays wird die Longitudinalwellengeschwindigkeit in Gewebephantomen gemessen. Die aufgenommenen Signale werden synthetisch fokussiert und die Signalenergie bei Variation des Fokussierungsregimes ausgewertet. Die Funktionsfähigkeit und die erreichbare Genauigkeit werden anhand modelltheoretischer Betrachtungen bestätigt. Abschließend wird die Leistungsfähigkeit des Verfahrens anhand der Überwachung eines Heizvorgangs demonstriert.


2016 ◽  
Vol 41 (4) ◽  
pp. 729 ◽  
Author(s):  
Chengxin Lei ◽  
Leyi Chen ◽  
Zhixiong Tang ◽  
Daoyong Li ◽  
Zhenzhi Cheng ◽  
...  

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