Articles | Volume 11, issue 11
https://doi.org/10.5194/amt-11-5965-2018
https://doi.org/10.5194/amt-11-5965-2018
Research article
 | 
30 Oct 2018
Research article |  | 30 Oct 2018

Doppler W-band polarization diversity space-borne radar simulator for wind studies

Alessandro Battaglia, Ranvir Dhillon, and Anthony Illingworth

Related authors

Riming-dependent Snowfall Rate and Ice Water Content Retrievals for W-band cloud radar
Nina Maherndl, Alessandro Battaglia, Anton Kötsche, and Maximilian Maahn
EGUsphere, https://doi.org/10.5194/egusphere-2024-3916,https://doi.org/10.5194/egusphere-2024-3916, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
Short summary
Simulations of Spectral Polarimetric Variables measured in rain at W-band
Ioanna Tsikoudi, Alessandro Battaglia, Christine Unal, and Eleni Marinou
EGUsphere, https://doi.org/10.5194/egusphere-2024-3164,https://doi.org/10.5194/egusphere-2024-3164, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
Short summary
Advantages of G-band radar in multi-frequency liquid-phase microphysical retrievals
Benjamin M. Courtier, Alessandro Battaglia, and Kamil Mroz
Atmos. Meas. Tech., 17, 6875–6888, https://doi.org/10.5194/amt-17-6875-2024,https://doi.org/10.5194/amt-17-6875-2024, 2024
Short summary
Characterization of surface clutter signal in presence of orography for a spaceborne conically scanning W-band Doppler radar
Francesco Manconi, Alessandro Battaglia, and Pavlos Kollias
EGUsphere, https://doi.org/10.5194/egusphere-2024-2779,https://doi.org/10.5194/egusphere-2024-2779, 2024
Short summary
How to reduce sampling errors in spaceborne cloud radar-based snowfall estimates
Filippo Emilio Scarsi, Alessandro Battaglia, Maximilian Maahn, and Stef Lhermitte
EGUsphere, https://doi.org/10.5194/egusphere-2024-1917,https://doi.org/10.5194/egusphere-2024-1917, 2024
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Instruments and Platforms
Optimization of a direct-detection UV wind lidar architecture for 3D wind reconstruction at high altitude
Thibault Boulant, Tomline Michel, and Matthieu Valla
Atmos. Meas. Tech., 17, 7049–7064, https://doi.org/10.5194/amt-17-7049-2024,https://doi.org/10.5194/amt-17-7049-2024, 2024
Short summary
The GRAS-2 radio occultation mission
Joel Rasch, Anders Carlström, Jacob Christensen, and Thomas Liljegren
Atmos. Meas. Tech., 17, 6213–6222, https://doi.org/10.5194/amt-17-6213-2024,https://doi.org/10.5194/amt-17-6213-2024, 2024
Short summary
The ALOMAR Rayleigh/Mie/Raman lidar: status after 30 years of operation
Jens Fiedler and Gerd Baumgarten
Atmos. Meas. Tech., 17, 5841–5859, https://doi.org/10.5194/amt-17-5841-2024,https://doi.org/10.5194/amt-17-5841-2024, 2024
Short summary
Chilean Observation Network De MeteOr Radars (CONDOR): Multi-Static System Configuration & Wind Comparison with Co-located Lidar
Zishun Qiao, Alan Z. Liu, Gunter Stober, Javier Fuentes, Fabio Vargas, Christian L. Adami, and Iain M. Reid
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-126,https://doi.org/10.5194/amt-2024-126, 2024
Revised manuscript accepted for AMT
Short summary
The Far-INfrarEd Spectrometer for Surface Emissivity (FINESSE) – Part 1: Instrument description and level 1 radiances
Jonathan E. Murray, Laura Warwick, Helen Brindley, Alan Last, Patrick Quigley, Andy Rochester, Alexander Dewar, and Daniel Cummins
Atmos. Meas. Tech., 17, 4757–4775, https://doi.org/10.5194/amt-17-4757-2024,https://doi.org/10.5194/amt-17-4757-2024, 2024
Short summary

Cited articles

Barker, H. W., Jerg, M., Wehr, T., Kato, S., Donovan, D., and Hogan, R.: A 3-D cloud-construction algorithm for the EarthCARE satellite mission, Q. J. Roy. Meteor. Soc., 137, 1042–1058, https://doi.org/10.1002/qj.824, 2011. a
Battaglia, A. and Kollias, P.: Error Analysis of a Conceptual Cloud Doppler Stereoradar with Polarization Diversity for Better Understanding Space Applications, J. Atmos. Ocean. Tech., 32, 1298–1319, https://doi.org/10.1175/JTECH-D-14-00015.1, 2014a. a, b, c, d, e, f, g
Battaglia, A. and Kollias, P.: Using ice clouds for mitigating the EarthCARE Doppler radar mispointing, IEEE T. Geosci. Remote, 53, 2079–2085, https://doi.org/10.1109/TGRS.2014.2353219, 2014b. a
Battaglia, A. and Tanelli, S.: DOppler MUltiple Scattering simulator, IEEE T. Geosci. Remote, 49, 442–450, https://doi.org/10.1109/TGRS.2010.2052818, 2011. a
Battaglia, A., Augustynek, T., Tanelli, S., and Kollias, P.: Multiple scattering identification in spaceborne W-band radar measurements of deep convective cores, J. Geophys. Res., 116, D00A22, https://doi.org/10.1029/2011JD016142, 2011. a, b
Download
Short summary
A new technique is proposed to simulated winds in clouds as they could be observed by a space-borne Doppler 3 mm wavelength radar. Results show that, in the presence of cloud inhomogeneity and of vertical wind shear, measured winds can be corrected and produce unbiased estimates of line-of-sight winds that can then be assimilated in numerical models to improve weather forecasts.