On the Use of Dual-Polarized C-Band Radar for Operational Rainfall Retrieval in Mountainous Areas

Vulpiani, G.; Montopoli, Mario; Passeri, Luca Delli; Gioia, Antonio G.; Giordano, Pietro; Marzano, Frank S.

doi:10.1175/jamc-d-10-05024.1

Cited by 134 publications

(123 citation statements)

References 34 publications

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“…Note that the regional branch of DPC, which was part of the Italian operational center in L'Aquila, included this event in their guidelines for a hydro-meteorological decision support system (AdriaRadNet REPORT ACTION 3.1, 2013). The hydrological aspects of this event are discussed in more detail by a paper currently in preparation (Tomassetti et al, 2014). The SHYFEM forecasts were useful to investigate the tide peak events that occurred over the Venice Lagoon ("acqua alta" or high water) during IOP16, where the sea level exceeded twice the warning level (more than 120 cm on 27-28 October 2012), and IOP18, where the sea level exceeded once the alarm level (more than 140 cm on 1 November 2012).…”

Section: Sop1: the Intense Observing Periodsmentioning

confidence: 99%

Overview of the first HyMeX Special Observation Period over Italy: observations and model results

Ferretti

Pichelli

Gentile

et al. 2014

Hydrol. Earth Syst. Sci.

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Section: Sop1: the Intense Observing Periodsmentioning

confidence: 99%

Overview of the first HyMeX Special Observation Period over Italy: observations and model results

Ferretti

Pichelli

Gentile

et al. 2014

Hydrol. Earth Syst. Sci.

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“…However, it is possible to provide a theoretical definition of data quality that might require a specific set-up for every radar system (Vulpiani et al, 2012).…”

Section: Quality Evaluation Of Radar Datamentioning

confidence: 99%

The validation service of the hydrological SAF geostationary and polar satellite precipitation products

Puca

Porcú

Rinollo

et al. 2014

Nat. Hazards Earth Syst. Sci.

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Abstract. The development phase (DP) of the EUMETSAT Satellite Application Facility for Support to Operational Hydrology and Water Management (H-SAF) led to the design and implementation of several precipitation products, after 5 yr (2005)(2006)(2007)(2008)(2009)(2010) of activity. Presently, five precipitation estimation algorithms based on data from passive microwave and infrared sensors, on board geostationary and sun-synchronous platforms, function in operational mode at the H-SAF hosting institute to provide near real-time precipitation products at different spatial and temporal resolutions.In order to evaluate the precipitation product accuracy, a validation activity has been established since the beginning of the project. A Precipitation Product Validation Group (PPVG) works in parallel with the development of the estimation algorithms with two aims: to provide the algorithm developers with indications to refine algorithms and products, and to evaluate the error structure to be associated with the operational products.In this paper, the framework of the PPVG is presented: (a) the characteristics of the ground reference data available to H-SAF (i.e. radar and rain gauge networks), (b) the agreed upon validation strategy settled among the eight European countries participating in the PPVG, and (c) the steps of the validation procedures. The quality of the reference data is discussed, and the efforts for its improvement are outlined, with special emphasis on the definition of a ground radar Published by Copernicus Publications on behalf of the European Geosciences Union. S. Puca et al.:The validation service of the hydrological SAF geostationary products quality map and on the implementation of a suitable rain gauge interpolation algorithm. The work done during the H-SAF development phase has led the PPVG to converge into a common validation procedure among the members, taking advantage of the experience acquired by each one of them in the validation of H-SAF products. The methodology is presented here, indicating the main steps of the validation procedure (ground data quality control, spatial interpolation, upscaling of radar data vs. satellite grid, statistical score evaluation, case study analysis).Finally, an overview of the results is presented, focusing on the monthly statistical indicators, referred to the satellite product performances over different seasons and areas.

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“…Q is generated following the methodology suggested in Vulpiani et al (2012), and it is obtained weighting, with given membership functions, the clutter map (CM) and the textures of Z DR , ρ HV and filtered φ DP . CM is obtained in a similar way to PBB as a combination of a theoretical and experimental clutter map.…”

Section: Polarimetric Radar Data Processingmentioning

confidence: 99%

Interpretation of observed microwave signatures from ground dual polarization radar and space multi-frequency radiometer for the 2011 Grímsvötn volcanic eruption

et al. 2014

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Abstract. The important role played by ground-based microwave weather radars for the monitoring of volcanic ash clouds has been recently demonstrated. The potential of microwaves from satellite passive and ground-based active sensors to estimate near-source volcanic ash cloud parameters has been also proposed, though with little investigation of their synergy and the role of the radar polarimetry. The goal of this work is to show the potentiality and drawbacks of the X-band dual polarization (DPX) radar measurements through the data acquired during the latest Grímsvötn volcanic eruptions that took place in May 2011 in Iceland. The analysis is enriched by the comparison between DPX data and the observations from the satellite Special Sensor Microwave Imager/Sounder (SSMIS) and a C-band single polarization (SPC) radar. SPC, DPX, and SSMIS instruments cover a large range of the microwave spectrum, operating respectively at 5.4, 3.2, and 0.16-1.6 cm wavelengths.The multi-source comparison is made in terms of total columnar concentration (TCC). The latter is estimated from radar observables using the "volcanic ash radar retrieval" algorithm for dual-polarization X-band and single polarization C-band systems (VARR-PX and VARR-SC, respectively) and from SSMIS brightness temperature (BT) using a linear BT-TCC relationship. The BT-TCC relationship has been compared with the analogous relation derived from SSMIS and SPC radar data for the same case study. Differences between these two linear regression curves are mainly attributed to an incomplete observation of the vertical extension of the ash cloud, a coarser spatial resolution and a more pronounced non-uniform beam-filling effect of SPC measurements (260 km away from the volcanic vent) with respect to the DPX (70 km from the volcanic vent). Results show that high-spatial-resolution DPX radar data identify an evident volcanic plume signature, even though the interpretation of the polarimetric variables and the related retrievals is not always straightforward, likely due to the possible formation of ash and ice particle aggregates and the radar signal impairments like depolarization or non-uniform beam filling that might be caused by turbulence effects. The correlation of the estimated TCCs derived from DPX or SPC and SSMIS BTs reaches approximately −0.7.

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On the Use of Dual-Polarized C-Band Radar for Operational Rainfall Retrieval in Mountainous Areas

Cited by 134 publications

References 34 publications

Overview of the first HyMeX Special Observation Period over Italy: observations and model results

Overview of the first HyMeX Special Observation Period over Italy: observations and model results

The validation service of the hydrological SAF geostationary and polar satellite precipitation products

Interpretation of observed microwave signatures from ground dual polarization radar and space multi-frequency radiometer for the 2011 Grímsvötn volcanic eruption

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