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Christopher D. Curtis
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2020 – today
- 2023
- [j8]David A. Warde, David Schvartzman, Christopher D. Curtis:
Generalized Multi-Lag Estimators (GMLE) for Polarimetric Weather Radar Observations. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023)
2010 – 2019
- 2019
- [j7]David Schvartzman, Christopher D. Curtis:
Signal Processing and Radar Characteristics (SPARC) Simulator: A Flexible Dual-Polarization Weather-Radar Signal Simulation Framework Based on Preexisting Radar-Variable Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(1): 135-150 (2019) - 2016
- [j6]Sebastián M. Torres, Richard Adams, Christopher D. Curtis, Eddie Forren, Douglas Forsyth, Igor R. Ivic, David Priegnitz, John Thompson, David A. Warde:
Adaptive-Weather-Surveillance and Multifunction Capabilities of the National Weather Radar Testbed Phased Array Radar. Proc. IEEE 104(3): 660-672 (2016) - [j5]Christopher D. Curtis, Mark Yeary, John L. Lake:
Adaptive Nullforming to Mitigate Ground Clutter on the National Weather Radar Testbed Phased Array Radar. IEEE Trans. Geosci. Remote. Sens. 54(3): 1282-1291 (2016) - 2012
- [j4]Mark B. Yeary, Gerald Crain, Allen Zahrai, Christopher D. Curtis, John Meier, Redmond Kelley, Igor R. Ivic, Robert D. Palmer, Richard Doviak, Guifu Zhang, Tian-You Yu:
Multichannel Receiver Design, Instrumentation, and First Results at the National Weather Radar Testbed. IEEE Trans. Instrum. Meas. 61(7): 2022-2033 (2012) - 2011
- [j3]Richard Doviak, Lei Le, Guifu Zhang, John Meier, Christopher D. Curtis:
Comparing Theory and Measurements of Cross-Polar Fields of a Phased-Array Weather Radar. IEEE Geosci. Remote. Sens. Lett. 8(5): 1002-1006 (2011)
2000 – 2009
- 2008
- [j2]Boon Leng Cheong, Robert D. Palmer, Christopher D. Curtis, Tian-You Yu, Dusan Zrnic, Douglas Forsyth:
Refractivity Retrieval Using the Phased-Array Radar: First Results and Potential for Multimission Operation. IEEE Trans. Geosci. Remote. Sens. 46(9): 2527-2537 (2008) - 2004
- [j1]Sebastián M. Torres, Christopher D. Curtis, J. R. Cruz:
Pseudowhitening of weather Radar signals to improve spectral moment and polarimetric variable estimates at low signal-to-noise ratios. IEEE Trans. Geosci. Remote. Sens. 42(5): 941-949 (2004)
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