Microphysical Constraints on Millimeter-Wavelength Scattering Properties of Snow Particles

  title={Microphysical Constraints on Millimeter-Wavelength Scattering Properties of Snow Particles},
  author={Norman B. Wood and Tristan S. L’Ecuyer and Andrew J. Heymsfield and Graeme L. Stephens},
  journal={Journal of Applied Meteorology and Climatology},
AbstractA Bayesian optimal estimation retrieval is used to determine probability density functions of snow microphysical parameters from ground-based observations taken during four snowfall events in southern Ontario, Canada. The retrieved variables include the parameters of power laws describing particle mass and horizontally projected area. The results reveal nontrivial correlations between mass and area parameters that were not apparent in prior studies. The observations provide information… 

Microphysical Properties of Snow and Their Link to Ze–S Relations during BAECC 2014

AbstractThis study uses snow events from the Biogenic Aerosols–Effects on Clouds and Climate (BAECC) 2014 campaign to investigate the connection between properties of snow and radar observations. The

The Precipitation Imaging Package: Assessment of Microphysical and Bulk Characteristics of Snow

Remote-sensing observations are needed to estimate the regional and global impacts of snow. However, to retrieve accurate estimates of snow mass and rate, these observations require augmentation

Ice Particle Mass–Dimensional Relationship Retrieval and Uncertainty Evaluation Using the Optimal Estimation Methodology Applied to the MACPEX Data

AbstractA Bayesian optimal estimation methodology is applied to retrieve the time-varying ice particle mass–dimensional (M–D) relationships (i.e., M = amDbm) and the associated uncertainties using

What millimeter-wavelength radar reflectivity reveals about snowfall: an information-centric analysis

Abstract. The ability of single-frequency, millimeter-wavelength radar reflectivity observations to provide useful constraints for retrieval of snow particle size distribution (PSD) parameters,

Estimation of Snowfall Properties at a Mountainous Site in Norway Using Combined Radar and In Situ Microphysical Observations

The ability of in situ snowflake microphysical observations to constrain estimates of surface snowfall accumulations derived from coincident, ground-based radar observations is explored. As part of

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The Mass‐Dimensional Properties of Cirrus Clouds During TC4

Remote sensing retrievals and ice microphysical parameterizations in global climate models typically use assumptions about the distribution of ice mass as a function of particle size using

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This article illustrates how multifrequency radar observations can refine the mass–size parameterization of frozen hydrometeors in scattering models and improve the correlation between the radar

Simulation and sensitivity analysis for cloud and precipitation measurements via spaceborne millimeter wave radar

. This study presents a simulation framework for cloud and precipitation measurements via spaceborne millimeter 10 wave radar composed of nine sub modules. To demonstrate the influence of the assumed

Study of the Optical Properties of Complex Ice Crystal Aggregates.Application to the remote sensing of dry and mixed-phase snowfall

  • D. Ori
  • Environmental Science
  • 2016
Snowfall is a prominent component of the Earth’s hydrologic cycle. Global observations of snowfall are essential for the monitoring of the status of the Earth system, and because of their wide



Estimating snow microphysical properties using collocated multisensor observations

The ability of ground‐based in situ and remote sensing observations to constrain microphysical properties for dry snow is examined using a Bayesian optimal estimation retrieval method. Power

A Statistical and Physical Description of Hydrometeor Distributions in Colorado Snowstorms Using a Video Disdrometer

Abstract Winter-storm hydrometeor distributions along the Front Range in eastern Colorado are studied with a ground-based two-dimensional video disdrometer. The instrument provides shape, size, and

Mass-Dimensional Relationships for Ice Particles and the Influence of Riming on Snowfall Rates

Abstract The masses, dimensions, and habits of over 2800 natural ice particles precipitating from orographic winter storms in the central Sierra Nevada were obtained using photomicrographs. Ice

Improved Representation of Ice Particle Masses Based on Observations in Natural Clouds

Abstract The mass–dimensional relationship put forth by Brown and Francis has been widely used for developing parameterizations for representing ice cloud microphysical properties. This relationship

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Abstract. Estimates of snow microphysical properties obtained by analyzing collections of individual particles are often limited to short timescales and coarse time resolution. Retrievals using

Modeling Backscatter Properties of Snowfall at Millimeter Wavelengths

Ground-based vertically pointing and airborne/spaceborne nadir-pointing millimeter-wavelength radars are being increasingly used worldwide. Though such radars are primarily designed for cloud remote

Advances in the Estimation of Ice Particle Fall Speeds Using Laboratory and Field Measurements

Accurate estimates for the fall speed of natural hydrometeors are vital if their evolution in clouds is to be understood quantitatively. In this study, laboratory measurements of the terminal

Roundness and Aspect Ratio of Particles in Ice Clouds

Abstract The frequency of occurrence of the aspect ratio and roundness of particles in ice clouds from aircraft observations have been examined. Images of cloud particles were measured by a cloud

Backscattering by nonspherical particles : a review of methods and suggested new approaches

Scattering of electromagnetic radiation near the backward direction is more sensitive to particle shape than scattering near the forward direction. Mie theory is therefore of dubious applicability to

A multisensor approach toward a better understanding of snowfall microphysics the tosca project

The Towards an Optimal estimation based Snow Characterization Algorithm (TOSCA) project addresses possible novel measurement synergies for deriving snowfall microphysical parameters from the ground