Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Christopher D. Curtis"'
Autor:
Katherin R. DeFord, Christopher D. Curtis, Donald A. Fitzpatrick, Stephanie B. Hill, Heather A. Johnson
Publikováno v:
Marketing Libraries Journal, Vol 1, Iss 1, Pp 26-29 (2017)
Externí odkaz:
https://doaj.org/article/04bf1ff414dd42fab73dda4d8e00eba1
Autor:
Mark Vincent, Jeff Keeler, Yixin Wen, Caleb Fulton, Dusan Zrnic, Jorge L. Salazar, Robert D. Palmer, Charles M. Kuster, Youngsun Jung, Bryan J. Putnam, Kevin Cooley, Mark E. Weber, Michael Istok, Mark Yeary, Juanzhen Sun, James M. Kurdzo, Igor R. Ivic, Feng Nai, Nusrat Yussouf, Christopher D. Curtis, Henry G. Thomas, Guifu Zhang, David Schvartzman, Kurt Hondl, Jami Boettcher, Derek R. Stratman, Sebastián M. Torres, Xuguang Wang, Djordje Mirkovic, Zhuming Ying, John Y. N. Cho, Terry J. Schuur
Publikováno v:
Bulletin of the American Meteorological Society. 102:E1357-E1383
This 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 indi
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 37:1103-1116
Severe thunderstorms and their associated tornadoes pose significant threats to life and property, and using radar data to accurately measure the rotational velocity of circulations in thunderstorms is essential for appropriate, timely warnings. One
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 37:507-515
For weather radars, range-oversampling processing was proposed as an effective way either to reduce the variance of radar-variable estimates without increasing scan times or to reduce scan times without increasing the variance of estimates. Range ove
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. :1-1
Publikováno v:
Journal of Atmospheric and Oceanic Technology.
Range-oversampling processing is a technique that can be used to lower the variance of radar-variable estimates, reduce radar update times, or a mixture of both. There are two main assumptions for using range-oversampling processing: accurate knowled
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12:135-150
This paper presents a novel, system-level, weather-radar time-series simulator able to ingest archived dual-polarization data and produce time-series data with the desired system and scanning parameters (e.g., antenna patterns, pulse repetition times
Autor:
Christopher D. Curtis
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 35:2169-2187
Time series simulation is an important tool for developing and testing new signal processing algorithms for weather radar. The methods for simulating time series data have not changed much over the last few decades, but recent advances in computing t
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 34:1607-1623
Adaptive range oversampling processing can be used either to reduce the variance of radar-variable estimates without increasing scan times or to reduce scan times without increasing the variance of estimates. For example, an implementation of adaptiv
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 34:1351-1369
With more weather radars relying on low-power solid-state transmitters, pulse compression has become a necessary tool for achieving the sensitivity and range resolution that are typically required for weather observations. While pulse compression is