Improving Weather Radar Precipitation Estimates by Combining two Types of Radars

Jesper Ellerbæk Nielsen; Søren Liedtke Thorndahl; Michael R. Rasmussen

doi:10.1016/j.atmosres.2013.12.013

Improving Weather Radar Precipitation Estimates by Combining two Types of Radars

Jesper Ellerbæk Nielsen, Søren Liedtke Thorndahl, Michael R. Rasmussen

Research output: Contribution to journal › Journal article › Research › peer-review

9 Citations (Scopus)

Abstract

This paper presents a demonstration of how Local Area Weather Radar (LAWR) X-band measurements can be combined with meteorological C–band measurements into a single radar product. For this purpose, a blending method has been developed which combines the strengths of the two radar systems. Combining the two radar types achieves a radar product with both long range and high temporal resolution. It is validated that the blended radar product performs better than the individual radars based on ground observations from laser disdrometers. However, the data combination is challenged by lower performance of the LAWR. Although both radars benefits from the data combination, it is also found that advection based temporal interpolation is a more favourable method for increasing the temporal resolution of meteorological C–band measurements.

Original language	English
Journal	Atmospheric Research
Volume	139
Issue number	March
Pages (from-to)	36–45
Number of pages	10
ISSN	0169-8095
DOIs	https://doi.org/10.1016/j.atmosres.2013.12.013
Publication status	Published - 2014

Keywords

Weather Readar
C-Band
X-Band
LAWR
Radar QPE

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title = "Improving Weather Radar Precipitation Estimates by Combining two Types of Radars",

abstract = "This paper presents a demonstration of how Local Area Weather Radar (LAWR) X-band measurements can be combined with meteorological C–band measurements into a single radar product. For this purpose, a blending method has been developed which combines the strengths of the two radar systems. Combining the two radar types achieves a radar product with both long range and high temporal resolution. It is validated that the blended radar product performs better than the individual radars based on ground observations from laser disdrometers. However, the data combination is challenged by lower performance of the LAWR. Although both radars benefits from the data combination, it is also found that advection based temporal interpolation is a more favourable method for increasing the temporal resolution of meteorological C–band measurements.",

keywords = "Weather Readar, C-Band, X-Band, LAWR, Radar QPE, Weather Readar, C-Band, X-Band, LAWR, Radar QPE",

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year = "2014",

doi = "10.1016/j.atmosres.2013.12.013",

language = "English",

volume = "139",

pages = "36–45",

journal = "Atmospheric Research",

issn = "0169-8095",

publisher = "Elsevier",

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TY - JOUR

T1 - Improving Weather Radar Precipitation Estimates by Combining two Types of Radars

AU - Nielsen, Jesper Ellerbæk

AU - Thorndahl, Søren Liedtke

AU - Rasmussen, Michael R.

PY - 2014

Y1 - 2014

N2 - This paper presents a demonstration of how Local Area Weather Radar (LAWR) X-band measurements can be combined with meteorological C–band measurements into a single radar product. For this purpose, a blending method has been developed which combines the strengths of the two radar systems. Combining the two radar types achieves a radar product with both long range and high temporal resolution. It is validated that the blended radar product performs better than the individual radars based on ground observations from laser disdrometers. However, the data combination is challenged by lower performance of the LAWR. Although both radars benefits from the data combination, it is also found that advection based temporal interpolation is a more favourable method for increasing the temporal resolution of meteorological C–band measurements.

AB - This paper presents a demonstration of how Local Area Weather Radar (LAWR) X-band measurements can be combined with meteorological C–band measurements into a single radar product. For this purpose, a blending method has been developed which combines the strengths of the two radar systems. Combining the two radar types achieves a radar product with both long range and high temporal resolution. It is validated that the blended radar product performs better than the individual radars based on ground observations from laser disdrometers. However, the data combination is challenged by lower performance of the LAWR. Although both radars benefits from the data combination, it is also found that advection based temporal interpolation is a more favourable method for increasing the temporal resolution of meteorological C–band measurements.

KW - Weather Readar

KW - C-Band

KW - X-Band

KW - LAWR

KW - Radar QPE

KW - Weather Readar

KW - C-Band

KW - X-Band

KW - LAWR

KW - Radar QPE

U2 - 10.1016/j.atmosres.2013.12.013

DO - 10.1016/j.atmosres.2013.12.013

M3 - Journal article

SN - 0169-8095

VL - 139

SP - 36

EP - 45

JO - Atmospheric Research

JF - Atmospheric Research

IS - March

ER -

Improving Weather Radar Precipitation Estimates by Combining two Types of Radars

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Keywords

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