Utilizing Spaceborne Radars to Retrieve Dry Snowfall

  title={Utilizing Spaceborne Radars to Retrieve Dry Snowfall},
  author={Mark S. Kulie and Ralf Bennartz},
  journal={Journal of Applied Meteorology and Climatology},
  • M. KulieR. Bennartz
  • Published 1 December 2009
  • Environmental Science
  • Journal of Applied Meteorology and Climatology
Abstract A dataset consisting of one year of CloudSat Cloud Profiling Radar (CPR) near-surface radar reflectivity Z associated with dry snowfall is examined in this study. The CPR observations are converted to snowfall rates S using derived Ze–S relationships, which were created from backscatter cross sections of various nonspherical and spherical ice particle models. The CPR reflectivity histograms show that the dominant mode of global near-surface dry snowfall has extremely light reflectivity… 

Uncertainty Analysis for CloudSat Snowfall Retrievals

Abstract A new method to derive radar reflectivity–snow rate (Ze–S) relationships from scattering properties of different ice particle models is presented. Three statistical Ze–i relationships are

Constraining CloudSat‐based snowfall profiles using surface observations and C‐band ground radar

[1] The CloudSat Precipitation Radar, launched in 2006, provides vertical profiles of W-band (94 GHz) reflectivity and is sensitive to falling snow through all but the most intense precipitating

Triple-Frequency Radar Reflectivity Signatures of Snow: Observations and Comparisons with Theoretical Ice Particle Scattering Models

AbstractAn observation-based study is presented that utilizes aircraft data from the 2003 Wakasa Bay Advanced Microwave Scanning Radiometer Precipitation Validation Campaign to assess recent advances

Intercomparison of snowfall estimates derived from the CloudSat Cloud Profiling Radar and the ground-based weather radar network over Sweden

Abstract. Accurate snowfall estimates are important for both weather and climate applications. Ground-based weather radars and space-based satellite sensors are often used as viable alternatives to

How does the spaceborne radar blind zone affect derived surface snowfall statistics in polar regions?

Global statistics of snowfall are currently only available from the CloudSat satellite. But CloudSat cannot provide observations of clouds and precipitation within the so‐called blind zone, which is

Validation of GMI Snowfall Observations by Using a Combination of Weather Radar and Surface Measurements

AbstractCurrently, there are several spaceborne microwave instruments suitable for the detection and quantitative estimation of snowfall. To test and improve retrieval snowfall algorithms, ground

Global Distribution of Snow Precipitation Features and Their Properties from 3 Years of GPM Observations

AbstractUsing a 3-yr Global Precipitation Mission (GPM) Ku-band Precipitation Radar (KuPR) dataset, snow features (SFs) are defined by grouping the contiguous area of nonzero solid precipitation. The

Spatial and temporal variability of snowfall over Greenland from CloudSat observations

Abstract. We use the CloudSat 2006–2016 data record to estimate snowfall over the Greenland Ice Sheet (GrIS). We first evaluate CloudSat snowfall retrievals with respect to remaining ground-clutter

Toward Improving Ice Water Content and Snow-Rate Retrievals from Radars. Part II: Results from Three Wavelength Radar–Collocated In Situ Measurements and CloudSat–GPM–TRMM Radar Data

AbstractTwo methods for deriving relationships between the equivalent radar reflectivity factor Ze and the snowfall rate S at three radar wavelengths are described. The first method uses collocations

Estimation of snow microphysical properties with application to millimeter-wavelength radar retrievals for snowfall rate




Snowfall Retrievals Using Millimeter-Wavelength Cloud Radars

It is demonstrated that millimeter-wavelength radars that are designed primarily for cloud studies can be also used effectively for snowfall retrievals. Radar reflectivity–liquid equivalent snowfall

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

Development of a snowfall retrieval algorithm at high microwave frequencies

[1] A snowfall retrieval algorithm based on Bayes' theorem is developed using high-frequency microwave satellite data. In this algorithm, observational data from both airborne and surface-based

Precipitating Snow Retrievals from Combined Airborne Cloud Radar and Millimeter-Wave Radiometer Observations

An algorithm for retrieving snow over oceans from combined cloud radar and millimeter-wave radiometer observations is developed. The algorithm involves the use of physical models to simulate cloud

Validation of the CloudSat precipitation occurrence algorithm using the Canadian C band radar network

[1] The ability of CloudSat to detect precipitation in cold season cloud systems is examined using data from the Environment Canada C band weather radar at King City, Ontario. The factors

Global Millimeter-Wave Precipitation Retrievals Trained With a Cloud-Resolving Numerical Weather Prediction Model, Part I: Retrieval Design

It is demonstrated that multiple scattering in high microwave albedo clouds may help explain the observed consistency for a global set of 122 storms between AMSU-observed 50-191-GHz brightness temperature distributions and corresponding distributions predicted using a cloud-resolving mesoscale NWP model (MM5) and a two-stream radiative transfer model that models icy hydrometeors as spheres with frequency-dependent densities.

Effects of Multiple Scattering on Attenuation-Based Retrievals of Stratiform Rainfall from CloudSat

An attenuation-based method to retrieve vertical profiles of rainfall rates from height derivatives/ gradients of CloudSat nadir-pointing W-band reflectivity measurements is discussed. This method

A physical model to estimate snowfall over land using AMSU‐B observations

[1] In this study, we present a physical model to retrieve snowfall rate over land using brightness temperature observations from NOAA's Advanced Microwave Sounder Unit-B (AMSU-B) at 89 GHz, 150 GHz,

Identifying multiple-scattering-affected profiles in CloudSat observations over the oceans

[1] Multiple scattering strongly affects the CloudSat Profiling Radar reflectivity when the satellite is overpassing moderate and heavy precipitation systems. Therefore it is important to identify

Potential for attenuation‐based estimations of rainfall rate from CloudSat

Attenuation of radar signals in rain increases with frequency while the variability of non‐attenuated reflectivity of rainfall diminishes as resonance scattering effects become more pronounced at