scholarly journals Polarization Diversity for Millimeter Spaceborne Doppler Radars: An Answer for Observing Deep Convection?

2013 ◽  
Vol 30 (12) ◽  
pp. 2768-2787 ◽  
Author(s):  
Alessandro Battaglia ◽  
Simone Tanelli ◽  
Pavlos Kollias
Keyword(s):  
Multiple Scattering ◽  
Cross Talk ◽  
Doppler Radar ◽  
Deep Convection ◽  
Doppler Velocity ◽  
Polarization Diversity ◽  
Ka Band ◽  
Convective Clouds ◽  
Pulse Pair ◽  
W Band

Abstract Spaceborne Doppler radars have the potential to provide key missing observations of convective vertical air motions especially over the tropical oceans. Such measurements can improve understanding of the role of tropical convection in vertical energy transport and its interaction with the environment. Several millimeter wavelength Doppler radar concepts have been proposed since the 1990s. The Earth Clouds, Aerosols, and Radiation Explorer (EarthCARE) Cloud Profiling Radar (CPR) will be the first Dopplerized atmospheric radar in space but has not been optimized for Doppler measurements in deep convective clouds. The key challenge that constrains the CPR performance in convective clouds is the range–Doppler dilemma. Polarization diversity (PD) offers a solution to this constraint by decoupling the coherency (Doppler) requirement from the unambiguous range requirement. Careful modeling of the radar signal depolarization and its impact on radar receiver channel cross talk is needed to accurately assess the performance of the PD approach. The end-to-end simulator presented in this work allows reproduction of the signal sensed by a Doppler radar equipped with polarization diversity when overpassing realistic three-dimensional convective cells, with all relevant cross-talk sources accounted for. The notional study highlights that multiple scattering is the primary source of cross talk, highly detrimental for millimeter Doppler velocity accuracy. The ambitious scientific requirement of 1 m s−1 accuracy at 500-m integration for reflectivities above −15 dBZ are within reach for a W-band radar with a 2.5-m antenna with optimal values of the pulse-pair interval between 20 and 30 μs but only once multiple scattering and ghost-contaminated regions are screened out. The identification of such areas is key for Doppler accuracies and can be achieved by employing an interlaced pulse-pair mode that measures the cross and the copolar reflectivities. To mitigate the impact of attenuation and multiple scattering, the Ka band has been considered as either alternative or additional to the W band. However, a Ka system produces worse Doppler performances than a W-band system with the same 2.5-m antenna size. Furthermore, in deep convection it results in similar levels of multiple scattering and therefore it does not increase significantly the depth of penetration. In addition, the larger footprint causes stronger nonuniform beam-filling effects. One advantage of the Ka-band option is the larger Nyquist velocity that tends to reduce the Doppler accuracies. More significant benefits are derived from the Ka band when observing precipitation not as intense as the deep convection is considered here. This study demonstrates that polarization diversity indeed represents a very promising methodology capable of significantly reducing aliasing and Doppler moment estimate errors, two main error sources for Doppler velocity estimates in deep convective systems and a key step to achieving typical mission requirements for convection-oriented millimeter radar-based spaceborne missions.

scholarly journals Implementation of Polarization Diversity Pulse Pair Technique using airborne W-band radar

2018 ◽  
Author(s):  
Mengistu Wolde ◽  
Alessandro Battaglia ◽  
Cuong Nguyen ◽  
Andrew L. Pazmany ◽  
Anthony Illingworth
Keyword(s):  
Cross Talk ◽  
Doppler Radar ◽  
Pulse Repetition Frequency ◽  
National Research Council ◽  
Doppler Velocity ◽  
Polarization Diversity ◽  
Pulse Pair ◽  
W Band ◽  
Standard Pulse

Abstract. This work describes the implementation of polarization diversity on the National Research Council Canada W-band Doppler radar and presents the first-ever airborne Doppler measurements derived via polarization diversity pulse pair processing. The polarization diversity pulse pair measurements are interleaved with standard pulse pair measurements with staggered pulse repetition frequency; this allows a better understanding of the strengths and drawbacks of polarization diversity, a methodology that has been recently proposed for wind-focussed Doppler radar space missions. Polarization diversity has the clear advantage of making possible Doppler observations of very fast de-correlating media (as expected when deploying Doppler radars on fast moving satellites) and of widening the Nyquist interval, thus enabling the observation of very high Doppler velocities (up to more than 100 m/s in present work). Cross-talk between the two polarizations, mainly caused by depolarization at backscattering deteriorated the quality of the observations by introducing ghost echoes in the power signals and by increasing the noise level in the Doppler measurements. In the different cases analyzed during the field campaigns, the regions affected by cross-talk were generally associated with highly depolarized surface returns and depolarization of backscatter from hydrometeors located at short ranges from the air craft. The variance of the Doppler velocity estimates can be well predicted from theory and were also estimated directly from the observed correlation between the H-polarized and V-polarized successive pulses. The study represents a key milestone towards the implementation of polarization diver sity in Doppler space-borne radars.

scholarly journals Implementation of polarization diversity pulse-pair technique using airborne W-band radar

2019 ◽  
Vol 12 (1) ◽  
pp. 253-269 ◽  
Author(s):  
Mengistu Wolde ◽  
Alessandro Battaglia ◽  
Cuong Nguyen ◽  
Andrew L. Pazmany ◽  
Anthony Illingworth
Keyword(s):  
Doppler Radar ◽  
Pulse Repetition Frequency ◽  
National Research Council ◽  
Doppler Velocity ◽  
Polarization Diversity ◽  
Pulse Pair ◽  
W Band ◽  
Standard Pulse ◽  
Very High

Abstract. This work describes the implementation of polarization diversity on the National Research Council Canada W-band Doppler radar and presents the first-ever airborne Doppler measurements derived via polarization diversity pulse-pair processing. The polarization diversity pulse-pair measurements are interleaved with standard pulse-pair measurements with staggered pulse repetition frequency, this allows a better understanding of the strengths and drawbacks of polarization diversity, a methodology that has been recently proposed for wind-focused Doppler radar space missions. Polarization diversity has the clear advantage of making possible Doppler observations of very fast decorrelating media (as expected when deploying Doppler radars on fast-moving satellites) and of widening the Nyquist interval, thus enabling the observation of very high Doppler velocities (up to more than 100 m s−1 in the present work). Crosstalk between the two polarizations, mainly caused by depolarization at backscattering, deteriorated the quality of the observations by introducing ghost echoes in the power signals and by increasing the noise level in the Doppler measurements. In the different cases analyzed during the field campaigns, the regions affected by crosstalk were generally associated with highly depolarized surface returns and depolarization of backscatter from hydrometeors located at short ranges from the aircraft. The variance of the Doppler velocity estimates can be well predicted from theory and were also estimated directly from the observed correlation between the H-polarized and V-polarized successive pulses. The study represents a key milestone towards the implementation of polarization diversity in Doppler space-borne radars.

Reducing Errors in Velocity–Azimuth Display (VAD) Wind and Deformation Retrievals from Airborne Doppler Radars in Convective Environments

2020 ◽  
Vol 37 (12) ◽  
pp. 2251-2266
Author(s):  
Charles N. Helms ◽  
Matthew L. Walker McLinden ◽  
Gerald M. Heymsfield ◽  
Stephen R. Guimond
Keyword(s):  
Wind Field ◽  
Doppler Radar ◽  
Weighting Function ◽  
Deep Convection ◽  
Absolute Error ◽  
Doppler Velocity ◽  
Wind Fields ◽  
Time Data ◽  
Single Antenna ◽  
Median Absolute Error

AbstractThe present study describes methods to reduce the uncertainty of velocity–azimuth display (VAD) wind and deformation retrievals from downward-pointing, conically scanning, airborne Doppler radars. These retrievals have important applications in data assimilation and real-time data processing. Several error sources for VAD retrievals are considered here, including violations to the underlying wind field assumptions, Doppler velocity noise, data gaps, temporal variability, and the spatial weighting function of the VAD retrieval. Specific to airborne VAD retrievals, we also consider errors produced due to the radar scans occurring while the instrument platform is in motion. While VAD retrievals are typically performed using data from a single antenna revolution, other strategies for selecting data can be used to reduce retrieval errors. Four such data selection strategies for airborne VAD retrievals are evaluated here with respect to their effects on the errors. These methods are evaluated using the second hurricane nature run numerical simulation, analytic wind fields, and observed Doppler radar radial velocities. The proposed methods are shown to reduce the median absolute error of the VAD wind retrievals, especially in the vicinity of deep convection embedded in stratiform precipitation. The median absolute error due to wind field assumption violations for the along-track and for the across-track wind is reduced from 0.36 to 0.08 m s−1 and from 0.35 to 0.24 m s−1, respectively. Although the study focuses on Doppler radars, the results are equally applicable to conically scanning Doppler lidars as well.

scholarly journals Characteristic Raindrop Size Retrievals from Measurements of Differences in Vertical Doppler Velocities at Ka- and W-Band Radar Frequencies

2017 ◽  
Vol 34 (1) ◽  
pp. 65-71 ◽  
Author(s):  
Sergey Y. Matrosov
Keyword(s):  
Great Plains ◽  
Doppler Velocity ◽  
Rain Event ◽  
Ka Band ◽  
W Band ◽  
The Difference ◽  
Raindrop Size ◽  
Radar Calibration ◽  
Drop Size Distributions ◽  
Mean Differences

AbstractA Ka-band (~35 GHz) and W-band (~94 GHz) radar approach to retrieve profiles of characteristic raindrop sizes, such as mean mass-weighted drop diameters Dm, from measurements of the difference in the mean vertical Doppler velocities (DDV) is analyzed. This retrieval approach is insensitive to radar calibration errors, vertical air motions, and attenuation effects. The Dm–DDV relations are derived using long-term measurements of drop size distributions (DSDs) from different observational sites and do not assume a functional DSD shape. Unambiguous retrievals using this approach are shown to be available in the Dm range of approximately 0.5–2 mm, with average uncertainties of around 21%. Potential retrieval ambiguities occurring when larger drop populations exist can be avoided by using a Ka-band vertical Doppler velocity threshold. The performance of the retrievals is illustrated using a long predominantly stratiform rain event observed at the Atmospheric Radiation Measurement (ARM) Southern Great Plains site. An intercomparison of DDV-based estimates of characteristic raindrop sizes with independent estimates available from ground-based disdrometer measurements reveal good agreement, with a correlation coefficient of 0.88, and mean differences between radar and disdrometer-based Dm of approximately 14% for the entire range of unambiguous retrievals. The Ka–W-band DDV method to retrieve mean mass-weighted drop sizes is applicable to measurements from new dual-wavelength ARM cloud radars that are being deployed at a variety of observational facilities. An illustration for the retrievals at the Oliktok Point ARM facility is also given.

scholarly journals Doppler W-band polarization diversity spaceborne radar simulator for wind studies

2018 ◽  
Author(s):  
Alessandro Battaglia ◽  
Ranvir Dhillon ◽  
Anthony Illingworth
Keyword(s):  
Spatial Variability ◽  
Wind Shear ◽  
Vertical Wind Shear ◽  
Vertical Wind ◽  
Doppler Velocity ◽  
Polarization Diversity ◽  
Signal To Noise ◽  
Uniform Beam ◽  
W Band ◽  
The Impact

Abstract. CloudSat observations are used in combination with collocated ECMWF wind reanalysis to simulate spaceborne W-band Doppler observations from slant-looking radars. The simulator also includes cross-polarization effects which are relevant if the Doppler velocities are derived from polarization diversity pulse pair correlation. A specific conically scanning radar configuration (WIVERN), recently proposed to the ESA-Earth Explorer 10 call that aims to provide global in-cloud winds for data assimilation, is analysed in detail in this study. One hundred granules of CloudSat data are exploited to investigate the impact on Doppler velocity estimates from three specific effects: (1) non-uniform beam filling, (2) wind shear, and (3) cross talk between orthogonal polarization channels induced by hydrometeors and surface targets. Errors associated with non-uniform beam filling constitute the most important source of error and can account for almost 1 m s−1 standard deviation, but this can be reduced effectively to less than 0.5 m s−1 by adopting corrections based on estimates of vertical reflectivity gradients. Wind-shear-induced errors are generally much smaller (~ 0.2 m s−1). A methodology for correcting such errors has been developed based on estimates of the vertical wind shear and the reflectivity gradient. Low signal-to-noise ratios lead to higher random errors (especially in winds) and therefore the correction (particularly the one related to the wind-shear induced error) is less effective at low signal-to-noise ratio. Both errors can be underestimated in our model because the CloudSat data do not fully sample the spatial variability of the reflectivity fields whereas the ECMWF reanalysis may have smoother velocity fields than in reality (e.g. they underestimate vertical wind shear). The simulator allows quantification of the average number of accurate measurements that could be gathered by the Doppler radar for each polar orbit, which is strongly impacted by the selection of the polarization diversity H – V pulse separation, Thv. For WIVERN a selection close to 20 μs (with a corresponding folding velocity equal to 40 m s−1) seems to achieve the right balance between maximizing the number of accurate wind measurements (exceeding 10 % of the time at any particular level in the mid-troposphere), and minimizing aliasing effects in the presence of high winds. The study lays the foundation for future studies towards a thorough assessment of the performance of polar orbiting wide-swath W-band Doppler radars on a global scale. The next generation of scanning cloud radar systems and reanalyses with improved resolution will enable full capture of the spatial variability of the cloud reflectivity and the in-cloud wind fields, thus refining the results of this study.

scholarly journals McRALI: a Monte Carlo high-spectral-resolution lidar and Doppler radar simulator for three-dimensional cloudy atmosphere remote sensing

2021 ◽  
Vol 14 (1) ◽  
pp. 199-221
Author(s):  
Frédéric Szczap ◽  
Alaa Alkasem ◽  
Guillaume Mioche ◽  
Valery Shcherbakov ◽  
Céline Cornet ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Multiple Scattering ◽  
Spectral Resolution ◽  
Doppler Radar ◽  
Three Dimensional ◽  
High Spectral Resolution ◽  
Doppler Velocity ◽  
Monte Carlo Code ◽  
Cloudy Atmosphere ◽  
Radar Signals

Abstract. The aim of this paper is to present the Monte Carlo code McRALI that provides simulations under multiple-scattering regimes of polarized high-spectral-resolution (HSR) lidar and Doppler radar observations for a three-dimensional (3D) cloudy atmosphere. The effects of nonuniform beam filling (NUBF) on HSR lidar and Doppler radar signals related to the EarthCARE mission are investigated with the help of an academic 3D box cloud characterized by a single isolated jump in cloud optical depth, assuming vertically constant wind velocity. Regarding Doppler radar signals, it is confirmed that NUBF induces a severe bias in velocity estimates. The correlation of the NUBF bias of Doppler velocity with the horizontal gradient of reflectivity shows a correlation coefficient value around 0.15 m s−1 (dBZ km-1)-1, close to that given in the scientific literature. Regarding HSR lidar signals, we confirm that multiple-scattering processes are not negligible. We show that NUBF effects on molecular, particulate, and total attenuated backscatter are mainly due to unresolved variability of cloud inside the receiver field of view and, to a lesser extent, to the horizontal photon transport. This finding gives some insight into the reliability of lidar signal modeling using independent column approximation (ICA).

scholarly journals Near-Surface Vortex Structure in a Tornado and in a Sub-Tornado-Strength Convective-Storm Vortex Observed by a Mobile, W-Band Radar during VORTEX2

2013 ◽  
Vol 141 (11) ◽  
pp. 3661-3690 ◽  
Author(s):  
Robin L. Tanamachi ◽  
Howard B. Bluestein ◽  
Ming Xue ◽  
Wen-Chau Lee ◽  
Krzysztof A. Orzel ◽  
...  
Keyword(s):  
High Resolution ◽  
Velocity Structure ◽  
Doppler Radar ◽  
Dynamic Pressure ◽  
Doppler Velocity ◽  
Convective Storm ◽  
Azimuthal Component ◽  
Near Surface ◽  
Kinematic Evolution ◽  
W Band

Abstract As part of the Second Verification of the Origins of Rotation in Tornadoes Experiment (VORTEX2) field campaign, a very high-resolution, mobile, W-band Doppler radar collected near-surface (≤200 m AGL) observations in an EF-0 tornado near Tribune, Kansas, on 25 May 2010 and in sub-tornado-strength vortices near Prospect Valley, Colorado, on 26 May 2010. In the Tribune case, the tornado's condensation funnel dissipated and then reformed after a 3-min gap. In the Prospect Valley case, no condensation funnel was observed, but evidence from the highest-resolution radars in the VORTEX2 fleet indicates multiple, sub-tornado-strength vortices near the surface, some with weak-echo holes accompanying Doppler velocity couplets. Using high-resolution Doppler radar data, the authors document the full life cycle of sub-tornado-strength vortex beneath a convective storm that previously produced tornadoes. The kinematic evolution of these vortices, from genesis to decay, is investigated via ground-based velocity track display (GBVTD) analysis of the W-band velocity data. It is found that the azimuthal velocities in the Tribune tornado fluctuated in concert with the (dis)appearance of the condensation funnel. However, the dynamic pressure drop associated with the retrieved azimuthal winds was not sufficient to account for the condensation funnel. In the Prospect Valley case, the strongest and longest-lived sub-tornado-strength vortex exhibited similar azimuthal velocity structure to the Tribune tornado, but had weaker azimuthal winds. In both cases, the radius of maximum azimuthal wind was inversely related to the wind speed, and changes in the axisymmetric azimuthal component of velocity were consistent with independent indicators of vortex intensification and decay.

scholarly journals McRALI: a Monte Carlo high spectral resolution lidar and Doppler radar simulator for three-dimensional cloudy atmosphere remote sensing

2020 ◽  
Author(s):  
Frédéric Szczap ◽  
Alaa Alkasem ◽  
Guillaume Mioche ◽  
Valery Shcherbakov ◽  
Céline Cornet ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Multiple Scattering ◽  
Spectral Resolution ◽  
Doppler Radar ◽  
Three Dimensional ◽  
High Spectral Resolution ◽  
Doppler Velocity ◽  
Monte Carlo Code ◽  
Cloudy Atmosphere ◽  
Radar Signals

Abstract. The aim of this paper is to present the Monte-Carlo code McRALI that provides simulations, under multiple scattering regimes of polarized high spectral resolution (HRS) lidar as well as Doppler radar observations for three-dimensional (3D) cloudy atmosphere. The effects of non-uniform beam filling (NUBF) on HSR lidar and Doppler radar signals related to the EarthCARE mission are investigated with the help of an academic 3D box-cloud, characterized by a single isolated jump in cloud optical depth, assuming vertically constant wind velocity. Regarding Doppler radar signals, it is confirmed that NUBF induces a severe bias in velocity estimates. The correlation of the NUBF bias of Doppler velocity with the horizontal gradient of reflectivity shows a correlation coefficient value around 0.15 m s−1(dBZ km−1)−1 close to that given in scientific literature. Regarding HSR lidar signals, we confirm that multiple scattering processes are not negligible. We show that NUBF effects on molecular, particulate and total attenuated backscatter are mainly due to unresolved variability of cloud inside the receiver field of view, and to a lesser extent, to the horizontal photon transport. This finding gives some insight into the reliability of lidar signal modelling using independent column approximation (ICA).

A W-Band Radar–Radiometer System for Accurate and Continuous Monitoring of Clouds and Precipitation

2017 ◽  
Vol 34 (11) ◽  
pp. 2375-2392 ◽  
Author(s):  
Nils Küchler ◽  
Stefan Kneifel ◽  
Ulrich Löhnert ◽  
Pavlos Kollias ◽  
Harald Czekala ◽  
...  
Keyword(s):  
Continuous Wave ◽  
Doppler Radar ◽  
External Source ◽  
Automatic Regulation ◽  
Doppler Velocity ◽  
Liquid Water Path ◽  
Vertical Column ◽  
Range Resolution ◽  
Transmitter Power ◽  
W Band

AbstractA new 94-GHz frequency-modulated continuous wave (FMCW) Doppler radar–radiometer system [Jülich Observatory for Cloud Evolution (JOYCE) Radar–94 GHz (JOYRAD-94)] is presented that is suitable for long-term continuous observations of cloud and precipitation processes. New features of the system include an optimally beam-matched radar–radiometer; a vertical resolution of up to 5 m with sensitivities down to −62 dBZ at 100-m distance; adjustable measurement configurations within the vertical column to account for different observational requirements; an automatic regulation of the transmitter power to avoid receiver saturation; and a high-powered blowing system that prevents hydrometeors from adhering to the radome. JOYRAD-94 has been calibrated with an uncertainty of 0.5 dB that was assessed by observing a metal sphere in the radar’s far field and by comparing radar reflectivities to a collocated 35-GHz radar. The calibrations of the radar receiver and the radiometric receiver are performed via a two-point calibration with liquid nitrogen. The passive channel at 89 GHz is particularly useful for deriving an estimate of the liquid water path (LWP). The developed retrieval shows that the LWP can be retrieved with an RMS uncertainty (not including potential calibration offsets) of about ±15 g m−2 when constraining the integrated water vapor from an external source with an uncertainty of ±2 kg m−2. Finally, a dealiasing method [dual-radar dealiasing method (DRDM)] for FMCW Doppler spectra is introduced that combines measurements of two collocated radars with different measurement setups. The DRDM ensures high range resolution with a wide unambiguous Doppler velocity range.

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

2018 ◽  
Vol 11 (11) ◽  
pp. 5965-5979 ◽  
Author(s):  
Alessandro Battaglia ◽  
Ranvir Dhillon ◽  
Anthony Illingworth
Keyword(s):  
Spatial Variability ◽  
Wind Shear ◽  
Vertical Wind Shear ◽  
Vertical Wind ◽  
Doppler Velocity ◽  
Polarization Diversity ◽  
Signal To Noise ◽  
Uniform Beam ◽  
W Band ◽  
Ecmwf Reanalysis

Abstract. CloudSat observations are used in combination with collocated European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis to simulate space-borne W-band Doppler observations from slant-looking radars. The simulator also includes cross-polarization effects which are relevant if the Doppler velocities are derived from polarization diversity pulse pair correlation. A specific conically scanning radar configuration (WIVERN), recently proposed to the ESA-Earth Explorer 10 call that aims to provide global in-cloud winds for data assimilation, is analysed in detail in this study. One hundred granules of CloudSat data are exploited to investigate the impact on Doppler velocity estimates from three specific effects: (1) non-uniform beam filling, (2) wind shear and (3) crosstalk between orthogonal polarization channels induced by hydrometeors and surface targets. Errors associated with non-uniform beam filling constitute the most important source of error and can account for almost 1 m s−1 standard deviation, but this can be reduced effectively to less than 0.5 m s−1 by adopting corrections based on estimates of vertical reflectivity gradients. Wind-shear-induced errors are generally much smaller (∼0.2 m s−1). A methodology for correcting these errors has been developed based on estimates of the vertical wind shear and the reflectivity gradient. Low signal-to-noise ratios lead to higher random errors (especially in winds) and therefore the correction (particularly the one related to the wind-shear-induced error) is less effective at low signal-to-noise ratio. Both errors can be underestimated in our model because the CloudSat data do not fully sample the spatial variability of the reflectivity fields, whereas the ECMWF reanalysis may have smoother velocity fields than in reality (e.g. they underestimate vertical wind shear). The simulator allows for quantification of the average number of accurate measurements that could be gathered by the Doppler radar for each polar orbit, which is strongly impacted by the selection of the polarization diversity H−V pulse separation, Thv. For WIVERN a selection close to 20 µs (with a corresponding folding velocity equal to 40 m s−1) seems to achieve the right balance between maximizing the number of accurate wind measurements (exceeding 10 % of the time at any particular level in the mid-troposphere) and minimizing aliasing effects in the presence of high winds. The study lays the foundation for future studies towards a thorough assessment of the performance of polar orbiting wide-swath W-band Doppler radars on a global scale. The next generation of scanning cloud radar systems and reanalyses with improved resolution will enable a full capture of the spatial variability of the cloud reflectivity and the in-cloud wind fields, thus refining the results of this study.

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