Dr. Ziad S. Haddad Profile

Dr. Ziad S. Haddad

at Jet Propulsion Lab

SPIE Involvement:

Conference Program Committee | Author | Editor

Proceedings Article | 5 October 2023 Presentation + Paper

Investigation of convective updrafts (INCUS): status after phase A

Simone Tanelli, Ziad Haddad, Susan van den Heever

Proceedings Volume 12689, 1268904 (2023) https://doi.org/10.1117/12.2677734

KEYWORDS: Convection, Radar, Rain, Space operations, Design and modelling, Reflectors, Radiometry, Microwave radiation, Ka band, Electronic filtering

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Proceedings Article | 30 August 2019 Paper

RainCube: How can a CubeSat radar see the structure of a storm?

Simone Tanelli, Eva Peral, Ousmane Sy, Gian Franco Sacco, Ziad Haddad, Stephen Durden, Shivani Joshi

Proceedings Volume 11131, 1113106 (2019) https://doi.org/10.1117/12.2531150

KEYWORDS: Radar, Antennas, Ka band, Reflectivity, Deconvolution, Clouds, Signal to noise ratio, Data modeling, Calibration, Spatial resolution

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Proceedings Article | 23 October 2018 Paper

The challenges of representing vertical motion in numerical models

Susan van den Heever, Leah Grant, Graeme Stephens, Ziad Haddad, Rachel Storer, Ousmane Sy, Derek Posselt

Proceedings Volume 10782, 1078204 (2018) https://doi.org/10.1117/12.2501584

KEYWORDS: Motion models, Atmospheric modeling, Doppler effect, Convection, Thermodynamics, Radar, Diagnostics, Temperature metrology, Clouds, Liquids

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Proceedings Article | 23 October 2018 Paper

A low-wavenumber analysis of the environmental and vortex-scale variables responsible for rapid intensity changes in landfalling tropical cyclones

B. Saiprasanth, Z. Haddad, S. Hristova-Veleva, F. Marks

Proceedings Volume 10782, 1078208 (2018) https://doi.org/10.1117/12.2500290

KEYWORDS: Meteorology, Technetium, Stochastic processes, Microwave radiation, Statistical analysis, Environmental sensing, Principal component analysis, Convection, Humidity, Databases

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Proceedings Article | 23 October 2018 Paper

Association between upper level diffluence in the Tropical Easterly Jet and the formation of the strongest Atlantic hurricanes in recent years

T. N. Krishnamurti, Nirupam Karmakar, Vasubandhu Misra, Bappaditya Nag, Dipak Sahu, Sarvesh Dubey, Ziad Haddad

Proceedings Volume 10782, 1078206 (2018) https://doi.org/10.1117/12.2500287

KEYWORDS: Troposphere, Lead, Temporal resolution, Wave propagation, Iris, Nomenclature, Atmospheric sciences, Climatology, Heart, Data centers

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Proceedings Article | 23 October 2018 Paper

Interpreting millimeter-wave radiances over convective clouds

Ziad Haddad, Raul Moreno Galdon, Randy Sawaya, Francisco Tapiador

Proceedings Volume 10782, 1078203 (2018) https://doi.org/10.1117/12.2500284

KEYWORDS: Radiometry, Clouds, Radar, Sensors, Convection, Absorption, Databases, Scattering, Temperature metrology, Imaging systems

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Proceedings Article | 22 October 2018 Paper

Atmospheric remote sensing with convoys of miniature radars

Ziad Haddad, Ousmane Sy, Graeme Stephens, Sue van den Heever, Derek Posselt

Proceedings Volume 10776, 107760I (2018) https://doi.org/10.1117/12.2500285

KEYWORDS: Reflectivity, Radar, Clouds, Convection, Satellites, Atmospheric sensing, Remote sensing, Motion estimation, Atmospheric sciences, Microwave radiation

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Proceedings Article | 9 May 2016 Paper

The impact of hydrometeors on the microphysical parameterization in the WRF modelling system over southern peninsular India

A. R. Ragi, Maithili Sharan, Z. S. Haddad

Proceedings Volume 9876, 98762Q (2016) https://doi.org/10.1117/12.2223669

KEYWORDS: Atmospheric modeling, Clouds, Atmospheric particles, Coastal modeling, Crystals, Aerosols, Modeling, Systems modeling, Convection, Particles

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This study examines the influence of Purdue-Lin microphysical parameterization scheme (Lin et al.,1983) on quantitative precipitation for pre-monsoon/monsoon conditions over southern peninsular India in the Weather Research and Forecasting (WRF) model. An ideal microphysical scheme has to describe the formation, growth of cloud droplets and ice crystals and fall out as precipitation. Microphysics schemes can be broadly categorized into two types: bin and bulk particle size distribution (Morrison, 2010). Bulk schemes predict one or more bulk quantities and assume some functional form for the particle size distribution. For better parameterization, proper interpretation of these hydrometeors (Cloud Droplets, Raindrops, Ice Crystals and Aggregates, Rimed Ice Particles, Graupel, Hail) and non-hydrometeors (Aerosols vs. Condensation Nuclei vs. Cloud Condensation Nuclei vs. Ice Nuclei) is very important. The Purdue-Lin scheme is a commonly used microphysics scheme in WRF model utilizing the “bulk” particle size distribution, meaning that a particle size distribution is assumed. The intercept parameter (N₀) is, in fact, turns out to be independent of the density. However, in situ observations suggest (Haddad et al., 1996, 1997) that the mass weighted mean diameter is correlated with water content per unit volume (q), leading to the fact that N0 depends on it. Here, in order to analyze the correlation of droplet size distribution with the convection, we have carried out simulations by implementing a consistent methodology to enforce a correlation between N0 and q in the Purdue-Lin microphysics scheme in WRF model. The effect of particles in Indian Summer Monsoon has been examined using frequency distribution of rainfall at surface, daily rainfall over the domain and convective available potential energy and convective inhibition. The simulations are conducted by analyzing the maximum rainfall days in the pre-monsoon/monsoon seasons using Tropical Rainfall Measuring Mission (TRMM) accumulated rainfall data for 24 hours.

Proceedings Article | 5 May 2016 Paper

RaInCube: a proposed constellation of atmospheric profiling radars in cubesat

Ziad Haddad, Eva Peral, Simone Tanelli, Ousmane Sy, Graeme Stephens

Proceedings Volume 9876, 987606 (2016) https://doi.org/10.1117/12.2228188

KEYWORDS: Atmospheric modeling, Radar, Satellites, Profiling, Clouds, Climatology, Temporal resolution, Atmospheric modeling, Climatology, Antennas, Meteorological satellites, Radiometry

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Proceedings Article | 3 May 2016 Paper

Quantifying and monitoring convection intensity from mm-wave sounder observations

Ziad Haddad, Randy Sawaya, Sahra Kacimi, Ousmane Sy, Jeffrey Steward

Proceedings Volume 9882, 98820M (2016) https://doi.org/10.1117/12.2228186

KEYWORDS: Convection, Radiometry, Algorithm development, Clouds, Scattering, Radiometry, Temperature metrology, Radar, Databases, Principal component analysis, Sensors

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Proceedings Article | 18 November 2014 Paper

Assimilating scatterometer observations of tropical cyclones into an Ensemble Kalman Filter system with a robust observation operator based on canonical-correlation analysis

Jeffrey Steward, Ziad Haddad, Svetla Hristova-Veleva, Tomislava Vukicevic

Proceedings Volume 9265, 926507 (2014) https://doi.org/10.1117/12.2069343

KEYWORDS: Current controlled voltage source, Surface roughness, Satellites, Databases, Filtering (signal processing), Wind measurement, Data modeling, Computer simulations, Oceanography, Troposphere

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Proceedings Article | 8 November 2012 Paper

Impact of non-uniform beam filling on spaceborne cloud and precipitation radar retrieval algorithms

Simone Tanelli, Gian Franco Sacco, Stephen Durden, Ziad Haddad

Proceedings Volume 8523, 852308 (2012) https://doi.org/10.1117/12.977375

KEYWORDS: Radar, Signal attenuation, Ka band, Reflectivity, Clouds, Algorithm development, Particles, Ku band, Device simulation, Atmospheric modeling

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Proceedings Article | 13 November 2010 Paper

Instantaneous vertical profiling of precipitation using passive microwave radiometers

Ziad Haddad, Kyung-Won Park

Proceedings Volume 7856, 785605 (2010) https://doi.org/10.1117/12.866075

KEYWORDS: Radiometry, Databases, Radar, Microwave radiation, Profiling, Temperature metrology, Convection, Principal component analysis, Error analysis, Statistical analysis

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Proceedings Article | 30 November 2006 Paper

A split-step IR-advection/model-convection approach to fill temporal gaps in the microwave remote sensing of precipitation

Ziad Haddad

Proceedings Volume 6404, 64040H (2006) https://doi.org/10.1117/12.695133

KEYWORDS: Microwave radiation, Atmospheric modeling, Liquids, Microwave remote sensing, Convection, Clouds, Infrared imaging, Astatine, Satellites, Sensors

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Proceedings Article | 30 April 2003 Paper

Estimation of precipitation and latent heating distributions by satellite passive/active microwave remote sensing

William Olson, Song Yang, Christian Kummerow, Ziad Haddad, Wei-Kuo Tao, Yansen Wang, Stephen Lang, Daniel Johnson, Scott Braun, Christine Chiu, Jian-Jian Wang

Proceedings Volume 4894, (2003) https://doi.org/10.1117/12.466533

KEYWORDS: Databases, Data modeling, Microwave radiation, Error analysis, Satellites, Computer simulations, Microwave remote sensing, Meteorology, 3D modeling, Radiometry

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