Remote Sensing of Weather Hazards Using a Low-Cost and Minimal Infrastructure Off-the-Grid Weather Radar Network

Trabal, Jorge M.; Colom-Ustáriz, José G.; Cruz-Pol, Sandra; Pablos-Vega, Gianni A.; McLaughlin, D.J.

doi:10.1109/tgrs.2012.2214227

Cited by 14 publications

(13 citation statements)

References 16 publications

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“…A comparison to measurements from a C-band radar operated by DWD indicates that the PATTERN network slightly overestimates reflectivity but also displays the spatial structure of rain events very well in higher resolution than nationwide radar networks can do. This is in good agreement with case studies conducted by Allegretti et al (2012) and Trabal et al (2013), who recommend the use of low-cost X-band radars in complementation to large-scale C-or S-band networks.…”

Section: Discussionsupporting

confidence: 89%

“…Therefore, recent studies support observations at X-band frequencies as an alternative or an addition to S-and C-bands (Lengfeld et al, 2013;Trabal et al, 2013) to fulfil the requirements of urban drainage system modelling as input for rainfall-runoff models of rural river systems, hydraulic simulations, insurance proof, detailed information on extreme events, and many more. Besides higher resolution, radars operating at high frequencies benefit from lower costs resulting from smaller antenna size compared to long-wave radars.…”

Section: Introductionmentioning

confidence: 63%

“…In the last few years, several networks consisting of different types of X-band radars have been installed to fill gaps in nationwide networks of C-or S-band radars, e.g. within the CASA (Collaborative Adaptive Sensing of the Atmosphere) project (Trabal et al, 2013;Mahale et al, 2014), in complex terrain, or in areas where detailed information on rainfall is of high interest, e.g. near airports (Turso et al, 2009), in mountainous regions (Beck and Bousquet, 2013;Shakti et al, 2013;Ventura and Tabary, 2013) or in flood-prone areas (Matrosov et al, 2013), to name a few of them.…”

Section: Introductionmentioning

confidence: 99%

“…The maximum range is of the order of 100 km, with a range resolution of 20 m. On the other hand, there is an increasing number of low-cost systems mainly based on conventional nautical radar systems with a peak power of 25 kW (e.g. Trabal et al, 2013;Lengfeld et al, 2012). These systems are characterised by small antenna diameters of less than 1 m and, in general, they are not capable of performing measurements in Doppler or dual-polarisation mode.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Performance of high-resolution X-band weather radar networks – the PATTERN example

Lengfeld¹,

Clemens²,

Münster

et al. 2014

Atmos. Meas. Tech.

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Abstract. This publication intends to prove that a network of low-cost local area weather radars (LAWR) is a reliable and scientifically valuable complement to nationwide radar networks. A network of four LAWRs has been installed in northern Germany within the framework of the Precipitation and Attenuation Estimates from a High-Resolution Weather Radar Network (PATTERN) project observing precipitation with a temporal resolution of 30 s, a range resolution of 60 m and a sampling resolution of 1 • in the azimuthal direction. The network covers an area of 60 km × 80 km. In this paper, algorithms used to obtain undisturbed precipitation fields from raw reflectivity data are described, and their performance is analysed. In order to correct operationally for background noise in reflectivity measurements, noise level estimates from the measured reflectivity field are combined with noise levels from the last 10 time steps. For detection of non-meteorological echoes, two different kinds of clutter algorithms are applied: single-radar algorithms and networkbased algorithms. Besides well-established algorithms based on the texture of the logarithmic reflectivity field (TDBZ) or sign changes in the reflectivity gradient (SPIN), the advantage of the unique features of the high temporal and spatial resolution of the network is used for clutter detection. Overall, the network-based clutter algorithm works best with a detection rate of up to 70 %, followed by the classic TDBZ filter using the texture of the logarithmic reflectivity field.A comparison of a reflectivity field from the PATTERN network with the product from a C-band radar operated by the German Meteorological Service indicates high spatial accordance of both systems in the geographical position of the rain event as well as reflectivity maxima. Long-term statistics from May to September 2013 prove very good accordance of the X-band radar of the network with C-band radar, but, especially at the border of precipitation events, higher-resolved X-band radar measurements provide more detailed information on precipitation structure because the 1 km range gate of C-band radars is only partially covered with rain. The standard deviation within a range gate of the C-band radar with a range resolution of 1 km is up to 3 dBZ at the borders of rain events. The probability of detection is at least 90 %, the false alarm ratio less than 10 % for both systems. Therefore, a network of high-resolution low-cost LAWRs can give valuable information on the small-scale structure of rain events in areas of special interest, e.g. urban regions, in addition to the nationwide radar networks.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 63%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Performance of high-resolution X-band weather radar networks – the PATTERN example

Lengfeld¹,

Clemens²,

Münster

et al. 2014

Atmos. Meas. Tech.

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show abstract

“…Rainfall rates and echo-top heights required to determine latent heating in convective systems are provided by NEXRAD sites in the CONUS (Leone et al 1989) and pan-Caribbean radar network (Trabal et al 2013). NEXRAD stations have a maximum range of 230 km and acquire conventional reflectivity observations and Doppler measurements within storms.…”

Section: Ghost Instrument Overviewmentioning

confidence: 99%

GHOST: A Satellite Mission Concept for Persistent Monitoring of Stratospheric Gravity Waves Induced by Severe Storms

Tratt

Hackwell

Valant-Spaight

et al. 2018

Bulletin of the American Meteorological Society

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Environmental impact evaluation using smart real-time weather monitoring systems: a systematic review

Selvam,

Al-Humairi

2024

Innov. Infrastruct. Solut.

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Remote Sensing of Weather Hazards Using a Low-Cost and Minimal Infrastructure Off-the-Grid Weather Radar Network

Cited by 14 publications

References 16 publications

Performance of high-resolution X-band weather radar networks – the PATTERN example

Performance of high-resolution X-band weather radar networks – the PATTERN example

GHOST: A Satellite Mission Concept for Persistent Monitoring of Stratospheric Gravity Waves Induced by Severe Storms

Environmental impact evaluation using smart real-time weather monitoring systems: a systematic review

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