A Microphysics-Based Simulator for Advanced Airborne Weather Radar Development

Li, Zhengzheng; Zhang, Yan; Zhang, Guifu; Brewster, Keith

doi:10.1109/tgrs.2010.2076354

Cited by 15 publications

(6 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent weather radar literature has investigated the Radar Simulator, which can reproduce realistic weather radar measurement [32][33][34]. The simulation starts from a known meteorological scenario to build processing algorithms.…”

Section: Potential Use Of Weather Radar Resourcesmentioning

confidence: 99%

“…Airborne weather radar detect potential weather hazards during flight. Li et al [34] introduce a microphysicsbased simulator applied in different weather scenarios to address the theoretical basis and uncertainties of hydrometeor scattering. Nepal et al [38] present a radar implementation on a low-cost weather radar platform for multi-mission applications.…”

Section: Potential Use Of Weather Radar Resourcesmentioning

confidence: 99%

See 1 more Smart Citation

The Use of Weather Radar Data: Possibilities, Challenges and Advanced Applications

Binetti

Campanale

Massarelli

et al. 2022

Earth

View full text Add to dashboard Cite

The climate in recent decades has aroused interest in the scientific community, prompting us to analyse the mechanisms that regulate it, to understand the climate change responsible for an increase in extreme phenomena. Consequently, the increase in hydrogeological instability in the Italian territory has led to an in-depth study of atmospheric parameters to understand the variations of the atmospheric system. One tool capable of detecting such variations is the weather radar. The weather radar data available in the area provided by the National Radar Network of the Department of Civil Protection allow the evaluation of variations on a national scale for hydro-meteorological-climatic monitoring as well as the disasters that have occurred. Using open-source programming software, the servers can be queried and data retrieved from a source to perform processing for specific purposes through data extraction techniques.

show abstract

Section: Potential Use Of Weather Radar Resourcesmentioning

confidence: 99%

Section: Potential Use Of Weather Radar Resourcesmentioning

confidence: 99%

The Use of Weather Radar Data: Possibilities, Challenges and Advanced Applications

Binetti

Campanale

Massarelli

et al. 2022

Earth

View full text Add to dashboard Cite

show abstract

“…Numerous previous modeling efforts are related to airborne weather radar and cloud radars. For example, [9] established an initial framework for using Numeric Weather Prediction (NWP) models in airborne aviation hazard estimation. [11] investigated the extension of Airborne Doppler Weather Radar Simulation (ADWRS) for ice crystals, which was part of the standard tools for industry developers.…”

Section: Introductionmentioning

confidence: 99%

“…Each radar pulse samples a Monte-Carlo realization of the particle states in the volume, according to the probability distributions of the relationship between ice-water-content (IWC) and radar variables and the radar sensor parameters. The complete radar scans and I/Q signals can then be generated from the NWP field grid of IWC and the end-to-end system tool similar to [9], which includes the airborne aviation radar characteristics. The novel benefit of this approach is that a physics-based validated "radar observation model" provides the connection between the IWC and the radar measurements, which incorporates the randomness in the measurement caused by ice crystals.…”

Section: Introductionmentioning

confidence: 99%

Development of Simulation Models Supporting Next-Generation Airborne Weather Radar for High Ice Water Content Monitoring

Shrestha

Zhang

McFarquhar

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

A method of extending airborne weather radar modeling to incorporate High Ice Water Content (HIWC) conditions has been developed. A novel aspect is incorporating flight test measurement data, including forward-looking radar measurements and in-situ microphysics probes data, into the model and part of the evaluations of modeling. The simulation models assume a dual-polarized, airborne forward-looking radar, while for single-polarized operations, the index-of-dispersion is included as a helpful indicator for HIWC detection. The radar system simulation models are useful for design evaluations for the next generation of airborne aviation hazard monitoring and incorporate HIWC hazard detection algorithms. Example applications of the simulator, such as hazard detection based on the simulated HIWC flight encounter scenarios based on specific Numeric Weather Prediction (NWP) model outputs, are discussed.

show abstract

“…Cheong et al [5] introduced a weather radar simulator which derived time-series signals from the output of a numerical weather prediction (NWP) model. Li et al [6] presented a Monte Carlo simulation-based approach for airborne weather radars, which investigated the impacts of platform and different microphysical…”

Section: Introductionmentioning

confidence: 99%

Phased-Array Radar System Simulator (PASIM): Development and Simulation Result Assessment

Perera

Zhang

et al. 2019

Remote Sensing

Self Cite

View full text Add to dashboard Cite

In this paper, a system-specific phased-array radar system simulator was developed, based on a time-domain modeling and simulation method, mainly for system performance evaluation of the future Spectrum-Efficient National Surveillance Radar (SENSR). The goal of the simulation study was to establish a complete data quality prediction method based on specific radar hardware and electronics designs. The distributed weather targets were modeled using a covariance matrix-based method. The data quality analysis was conducted using Next-Generation Radar (NEXRAD) Level-II data as a basis, in which the impact of various pulse compression waveforms and channel electronic instability on weather radar data quality was evaluated. Two typical weather scenarios were employed to assess the simulator’s performance, including a tornado case and a convective precipitation case. Also, modeling of some demonstration systems was evaluated, including a generic weather radar, a planar polarimetric phased-array radar, and a cylindrical polarimetric phased-array radar. Corresponding error statistics were provided to help multifunction phased-array radar (MPAR) designers perform trade-off studies.

show abstract

A Microphysics-Based Simulator for Advanced Airborne Weather Radar Development

Cited by 15 publications

References 56 publications

The Use of Weather Radar Data: Possibilities, Challenges and Advanced Applications

The Use of Weather Radar Data: Possibilities, Challenges and Advanced Applications

Development of Simulation Models Supporting Next-Generation Airborne Weather Radar for High Ice Water Content Monitoring

Phased-Array Radar System Simulator (PASIM): Development and Simulation Result Assessment

Contact Info

Product

Resources

About