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

  title={A physical model to estimate snowfall over land using AMSU‐B observations},
  author={Min-Jeong Kim and Min-Jeong Kim and James A. Weinman and William S. Olson and William S. Olson and Dong-Eon Chang and Gail M. Skofronick-Jackson and James R. Wang},
  journal={Journal of Geophysical Research},
[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, 183.3 ± 1 GHz, 183.3 ± 3 GHz, and 183.3 ± 7 GHz. The retrieval model is applied to the New England blizzard of 5 March 2001 which deposited about 75 cm of snow over much of Vermont, New Hampshire, and northern New York. In this physical model, prior retrieval assumptions about snowflake shape… 


Most of the works on estimation of land surface emissivity from satellite radiometric measurements are performed at the frequencies d 100 GHz in the past two decades [1-3]. In the frequency range of

Toward snowfall retrieval over land by combining satellite and in situ measurements

[1] Although snowfall is an important component of global precipitation in extratropical regions, satellite snowfall estimate is still in an early developmental stage, and existing satellite remote

A triple‐frequency approach to retrieve microphysical snowfall parameters

[1] Backscattering and extinction properties of various snow particle models are studied for three typical cloud radar frequency ranges, namely Ku band, Ka band, and W band, both in terms of their

A 1DVAR‐based snowfall rate retrieval algorithm for passive microwave radiometers

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[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


The unprecedented snowfall during early February 2010 in the Baltimore/Washington area provided a unique opportunity to map, monitor and measure snowfall, snow cover extent, snow water equivalent

Microwave Properties of Ice-Phase Hydrometeors for Radar and Radiometers: Sensitivity to Model Assumptions

A simplified framework is presented for assessing the qualitative sensitivities of computed microwave properties, satellite brightness temperatures, and radar reflectivities to assumptions concerning

A Prototype Precipitation Retrieval Algorithm over Land for ATMS

AbstractA prototype precipitation algorithm for the Advanced Technology Microwave Sounder (ATMS) was developed by using 3-yr coincident ground radar and ATMS observations over the continental United

Snow particle orientation observed by ground‐based microwave radiometry

[1] This study analyzes the effect of snow particle orientation on polarization differences (PDs) observed with a ground-based radiometer at 150 GHz on the basis of a 1 year time series of snowfall

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This chapter introduces an overland snowfall rate algorithm for passive microwave radiometers. It relies on an embedded algorithm to detect the presence of snowfall. The retrieval of cloud properties



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

A physical model to determine snowfall over land by microwave radiometry

Satellite-based high-frequency observations from an Advanced Microwave Sounding Unit (AMSU-B) instrument during the March 5-6, 2001 New England blizzard were used to retrieve snowfall over land to validate the theory of scattering by randomly oriented dry snow particles at high microwave frequencies.

Precipitation profile retrievals using temperature‐sounding microwave observations

[1] A Bayesian retrieval algorithm was developed to demonstrate the potential of microwave temperature-sounding channels for precipitation profile retrieval from spaceborne observations. The

Microwave Properties of Frozen Precipitation around a North Atlantic Cyclone

Abstract Microwave brightness temperatures emanating from a North Atlantic cyclone were measured by the Special Sensor Microwave/Imager (SSM/I) on the Defense Meteorological Satellite Program

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Abstract Three-dimensional tropical squall-line simulations from the Goddard cumulus ensemble (GCE) model are used as input to radiative computations of upwelling microwave brightness temperatures

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Abstract As satellite high-frequency passive microwave data have recently become available, there is an increasing demand for an accurate and computationally efficient method to calculate the single

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Modeling uncertainties for passive microwave precipitation retrieval: evaluation of a case study

The provided results should not be considered an exhaustive evaluation of cloud-radiation modeling errors, but may be considered a valuable starting point for error characterization, since extensions to larger databases could definitely improve modeling error budgets.

in the North Atlantic Ocean as determined from SSM/I and SSM/T2 observations

Satellite microwave (special sensor microwave/imager (SSM/I) and special sensor microwave water vapor sounder (SSM/T2)) data are used to study the large-scale cloud and precipitation features during

Airborne retrievals of snow and ice surface emissivity at millimeter wavelengths

The parameterization presented is intended to provide a background for temperature and humidity retrievals from satellite sounders, but the results will be of interest to the snow and ice remote-sensing communities.