A systems approach to GPM dual-frequency retrieval

Rose, Chris; Chandrasekar, V.

doi:10.1109/tgrs.2005.851165

Cited by 28 publications

(20 citation statements)

References 12 publications

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“…In contrast to the apparent values, the uniform, or horizontally averaged, values are the radar observables that correspond to the horizontally averaged rain rate, if it were distributed uniformly within the DPR footprint [4]. There are a variety of algorithms for retrieving the rain rate from dualfrequency radar; see [8] and references therein. Here, we try to keep the results as general as possible and examine quantities that can provide insight into the effects of NUBF on multiple retrieval algorithms.…”

Section: Discussionmentioning

confidence: 99%

Predicted Effects of Nonuniform Beam Filling on GPM Radar Data

Durden

Tanelli

2008

IEEE Geosci. Remote Sensing Lett.

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The Global Precipitation Measurement mission (GPM) will carry the first dual-frequency spaceborne radar (DPR) for rainfall observation. We use dual-frequency airborne radar data to simulate observations at GPM DPR resolution and frequencies and to investigate errors due to nonuniform beam filling effects. Errors at Ku-band are similar to those found in previous studies. Errors in the Ka-band path-integrated attenuation and near-surface reflectivity are larger than at Ku-band. Errors in rain-top reflectivity, where attenuation is neglected, are smaller at Ka-band than at Ku-band because the Ka-band Z-R relation is closer to being linear.

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Section: Discussionmentioning

confidence: 99%

Predicted Effects of Nonuniform Beam Filling on GPM Radar Data

Durden

Tanelli

2008

IEEE Geosci. Remote Sensing Lett.

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“…V is given by (7). ) is determined as follows: (10) where P w is the volumetric ratio of liquid water to the particle and P i is the volumetric ratio of solid water to the particle.…”

Section: B Dsd At Solid and Melting Phase Range Binsmentioning

confidence: 99%

The Basic Performance of a Precipitation Retrieval Algorithm for the Global Precipitation Measurement Mission's Single/Dual-Frequency Radar Measurements

Seto

Iguchi

Oki

2013

IEEE Trans. Geosci. Remote Sensing

151

127

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“…After adding the corresponding attenuation correction errors to the measured(attenuated) reflectivities, the reflecitvities are fed to the dual-frequency backward interative DSD retrieval algorithm [2]. The retrieved DSD profiels, the coresponding attenauted reflectivity and rain rate profiles are shown in figures 5 through 9.…”

Section: Dual-frequency Rain Dsd Retrievals With Attenuation Corrmentioning

confidence: 99%

“…It has been shown that the errors in reflectivity measurements for the top bin of rain will propagate down through the lower, estimated DSD values. Therefore, the accuracy of rainfall estimation is affected [2]. The errors in the correction of attenuation caused by the precipitation in and above the melting layer could also affect the dual-frequency DSD retrieval for rain, and this is the focus of this paper.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of Dual-Frequency Rain DSD Retrieval to Particles in Melting Layer for Space-borne Radars

Chandrasekar

Thurai

2006

2006 IEEE International Symposium on Geoscience and Remote Sensing

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Many dual-frequency DSD retrieval algorithms have been proposed for space-borne radars. A self-consistent backward iterative algorithm, based on non-Rayleigh scattering has been studied recently[1][2] [3]. This algorithm is based on a certain DSD model of rain, for which the attenuation caused by the ice or mixed-phase particles should be extracted accurately. Any error in the attenuation correction at one of the two frequencies would affect the accuracy of the DSD retrievals for rain region.This paper examines how the DSD retrieval for rain is affected by the reflectivity correction for attenuation due to the ice or mixed-phase particles in bright band. First, a non-coalescence and non-break up (N-N) model, with an adjustable thickness and the DSD at the bottom of the melting layer is used to generated the reflectivity and specific attenuation profiles. The profiles for varying DSD (Nw from 1000 to 8000, D0 from 1.0mm to 1.75mm) are used to derive the α and β coefficients for k-Z relationships for different heights, for a certain thickness of the bright band. Then the k-Z relationships are incorporated in Hitschfeld-Bordan method to evaluate the two way attenuation at the two frequencies. Last, the reflectivities in rain region, considered of the attenuation correction error, are made of use of by the self-consistent backward iterative algorithm [2] to retrieve the DSD.The simulation shows that the accuracy of the attenuation correction for Ka-band, the higher frequency, is crucial for the dual-frequncy iterative algorithm to correctely retrieve the DSD. While the attenuation correction error at Ku-band remain negligiblely small, the error at Ka-band could be as large as 0.47dB, and this error would have been too large for backward iterative method to correctely retrieve the DSD. The method presented in his paper can be used to evaluate any rain DSD retrieval algorithms proposed for GPM.

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A systems approach to GPM dual-frequency retrieval

Cited by 28 publications

References 12 publications

Predicted Effects of Nonuniform Beam Filling on GPM Radar Data

Predicted Effects of Nonuniform Beam Filling on GPM Radar Data

The Basic Performance of a Precipitation Retrieval Algorithm for the Global Precipitation Measurement Mission's Single/Dual-Frequency Radar Measurements

Sensitivity of Dual-Frequency Rain DSD Retrieval to Particles in Melting Layer for Space-borne Radars

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