Review of the Different Sources of Uncertainty in Single Polarization Radar-Based Estimates of Rainfall

Villarini, Gabriele; Krajewski, Witold F.

doi:10.1007/s10712-009-9079-x

Cited by 382 publications

(268 citation statements)

References 255 publications

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“…This is mainly due to the indirect nature of radar measurements, the non-agreement of radar and rain gauge sampling location and volumes as well as radar error sources such as path attenuation, ground clutter, beam blockage, anomalous beam propagation, bright band effects and unknown radar Z-R relationships (e.g. Sauvageot, 1992;Villarini and Krajewski, 2010). To overcome this limitation, research has focused on the conceptual description and correction of radar errors (e.g.…”

Section: Introductionmentioning

confidence: 99%

Quantitative precipitation estimation based on high-resolution numerical weather prediction and data assimilation with WRF – a performance test

Bauer¹,

Schwitalla²,

Wulfmeyer³

et al. 2015

Tellus A: Dynamic Meteorology and Oceanography

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A B S T R A C T Quantitative precipitation estimation and forecasting (QPE and QPF) are among the most challenging tasks in atmospheric sciences. In this work, QPE based on numerical modelling and data assimilation is investigated. Key components are the Weather Research and Forecasting (WRF) model in combination with its 3D variational assimilation scheme, applied on the convection-permitting scale with sophisticated model physics over central Europe. The system is operated in a 1-hour rapid update cycle and processes a large set of in situ observations, data from French radar systems, the European GPS network and satellite sensors. Additionally, a free forecast driven by the ECMWF operational analysis is included as a reference run representing current operational precipitation forecasting. The verification is done both qualitatively and quantitatively by comparisons of reflectivity, accumulated precipitation fields and derived verification scores for a complex synoptic situation that developed on 26 and 27 September 2012. The investigation shows that even the downscaling from ECMWF represents the synoptic situation reasonably well. However, significant improvements are seen in the results of the WRF QPE setup, especially when the French radar data are assimilated. The frontal structure is more defined and the timing of the frontal movement is improved compared with observations. Even mesoscale bandlike precipitation structures on the rear side of the cold front are reproduced, as seen by radar. The improvement in performance is also confirmed by a quantitative comparison of the 24-hourly accumulated precipitation over Germany. The mean correlation of the model simulations with observations improved from 0.2 in the downscaling experiment and 0.29 in the assimilation experiment without radar data to 0.56 in the WRF QPE experiment including the assimilation of French radar data.

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Section: Introductionmentioning

confidence: 99%

Quantitative precipitation estimation based on high-resolution numerical weather prediction and data assimilation with WRF – a performance test

Bauer¹,

Schwitalla²,

Wulfmeyer³

et al. 2015

Tellus A: Dynamic Meteorology and Oceanography

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“…The radar data have been quality-controlled by the UKMO (Harrison et al 2000) to account for errors inherent in radar rainfall measurements (see e.g. RicoRamirez et al 2007, Villarini andKrajewski 2010). Radar data over the catchment are a composite of Hameldon Hill and Ingham radar stations (UK Met Office 2010), located 30 and 90 km from the catchment, respectively (Fig.…”

Section: Description Of Case Study and Datamentioning

confidence: 99%

Comparing quantitative precipitation forecast methods for prediction of sewer flows in a small urban area

Schellart

Liguori

Krämer

et al. 2014

Hydrological Sciences Journal

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., 2014. Comparing quantitative precipitation forecast methods for prediction of sewer flows in a small urban area. Hydrological Sciences Journal, 59 (7), 1418-1436. http://dx.doi.org/ 10. 1080/02626667.2014.920505 Abstract Due to the relatively small spatial scale, as well as rapid response, of urban drainage systems, the use of quantitative rainfall forecasts for providing quantitative flow and depth predictions is a challenging task. Such predictions are important when consideration is given to urban pluvial flooding and receiving water quality, and it is worthwhile to investigate the potential for improved forecasting. In this study, three quantitative precipitation forecast methods of increasing complexity were compared and used to create quantitative forecasts of sewer flows 0-3 h ahead in the centre of a small town in the north of England. The HyRaTrac radar nowcast model was employed, as well as two different versions of the more complex STEPS model. The STEPS model was used as a deterministic nowcasting system, and was also blended with the Numerical Weather Prediction (NWP) model MM5 to investigate the potential of increasing forecast lead-times (LTs) using high-resolution NWP. Predictive LTs between 15 and 90 min gave acceptable results, but were a function of the event type. It was concluded that higher resolution rainfall estimation as well as nowcasts are needed for prediction of both local pluvial flooding and combined sewer overflow spill events.Key words rainfall runoff; radar nowcasting; numerical weather prediction; flow forecasting; urban drainageComparaison des méthodes quantitatives de prévision des précipitations pour la prévision du débit des égouts dans une petite zone urbaine Résumé En raison de l'échelle spatiale relativement petite ainsi que de la réponse rapide des systèmes de drainage urbain, l'utilisation des prévisions quantitatives des précipitations pour fournir des prévisions quantitatives de débits et de hauteurs d'eau est une tâche difficile. Ces prévisions sont importantes lorsque l'on s'intéresse aux inondations pluviales urbaines et à la qualité des eaux réceptrices, et il vaut la peine de chercher les possibilités d'améliorer les prévisions. Dans cette étude, nous avons utilisé et comparé trois méthodes de prévision quantitative des précipitations, de complexité croissante, réalisant des prévisions quantitatives du débit des égouts de 0 à 3 h à l'avance dans le centre d'une petite ville du Nord de l'Angleterre. Nous avons utilisé le modèle de prévision immédiate radar HyRaTrac, ainsi que deux versions différentes du modèle plus complexe STEPS. Le modèle STEPS a été utilisé comme système de prévision immédiate déterministe, et a également été couplé avec le modèle de prévision météorologique numérique (PMN) MM5 pour étudier la possibilité d'augmenter l'horizon de prévision grâce à l'utilisation de PMN à haute résolution. Des résultats acceptables ont été obtenus pour des horizons de prévision compris entre 15 et 90 min, mais ils dépendaient du type d'événement météorolo...

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“…review by Villarini and Krajewski, 2010). These errors are recognised thanks to intensive empirical work performed at the national level (by national meteorological services) and at the international level, e.g.…”

Section: Introductionmentioning

confidence: 99%

Quality-based generation of weather radar Cartesian products

Ośródka

Szturc

2015

Atmos. Meas. Tech.

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Abstract. Weather radar data volumes are commonly processed to obtain various 2-D Cartesian products based on the transfer from polar to Cartesian representations through a certain interpolation method. In this research an algorithm of the spatial interpolation of polar reflectivity data employing quality index data is applied to find the Cartesian reflectivity as plan position indicator products. On this basis, quality-based versions of standard algorithms for the generation of the following products have been developed: ETOP (echo top), MAX (maximum of reflectivity), and VIL (vertically integrated liquid water). Moreover, as an example of a higher-level product, a CONVECTION (detection of convection) has been defined as a specific combination of the above-listed standard products. A corresponding quality field is determined for each generated product, taking into account the quality of the pixels from which a given product was determined and how large a fraction of the investigated heights was scanned. Examples of such quality-based products are presented in the paper.

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Review of the Different Sources of Uncertainty in Single Polarization Radar-Based Estimates of Rainfall

Cited by 382 publications

References 255 publications

Quantitative precipitation estimation based on high-resolution numerical weather prediction and data assimilation with WRF – a performance test

Quantitative precipitation estimation based on high-resolution numerical weather prediction and data assimilation with WRF – a performance test

Comparing quantitative precipitation forecast methods for prediction of sewer flows in a small urban area

Quality-based generation of weather radar Cartesian products

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