Berenguer Ferrer, Marc
Total activity: 79
Professional category
Researcher
Doctoral courses
Ingeniería civil
University degree
Ingeniero de Caminos, Canales y Puertos Especialidad Hidráulica, Oceanografía y Medio Ambiente
Research group
CRAHI - Center of Applied Research on Hydrometeorology
Department
Department of Geotechnical Engineering and Geo-Sciences
E-mail
marc.berenguercrahi.upc.edu
Contact details
UPC directory Open in new window
Orcid
0000-0001-9208-7032 Open in new window
ResearcherID
C-3370-2013 Open in new window

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1 to 50 of 79 results
  • Precipitation nowcasting and warning at European scale

     Berenguer Ferrer, Marc; Sempere Torres, Daniel
    Geophysical research abstracts
    Date of publication: 2013
    Journal article

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  • Skill assessment of precipitation nowcasting in Mediterranean heavy precipitation events

     Bech Rustullet, Joan; Berenguer Ferrer, Marc
    Geophysical research abstracts
    Date of publication: 2013
    Journal article

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    Reconstruction of radar reflectivity in clutter areas  Open access

     Park, Shinju; Berenguer Ferrer, Marc
    Conference on Radar Meteorology
    Presentation's date: 2013-09-16
    Presentation of work at congresses

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    The production of Radar Quantitative Precipitation Estimates (QPE) requires processing the observations to ensure their quality and its conversion into the variable of interest (e.g., precipitation rates). Some of the steps involve the reconstruction of the meteorological signal in areas where the signal is lost (e.g. due to total beam blockage or severe path attenuation by heavy rain) or strongly contaminated, for instance, in areas affected by ground or sea clutter. In the latter case, the meteorological signal is often reconstructed through the analysis of the Doppler spectrum. Alternatively, for uncorrected moment data, the reconstruction is done first by identifying clutter-affected areas based on the analysis of statistical properties of radar measurements, and then the reconstruction of the meteorological signal is performed either by horizontal interpolation, by extrapolation of non-contaminated PPIs aloft or a combination of the two, as proposed by Sánchez-Diezma et al. (2001) by adapting the reconstruction to the type of precipitation affecting clutter-contaminated areas. Here, an alternative reconstruction method is proposed here using the space and time structure of the field. The developed method has been implemented to reflectivity fields under different rainfall situations (scattered convection, organized convection, and widespread precipitation –see Section 2). For the evaluation of the method, several formulations of the reconstruction method (presented in Section 3) have been implemented and compared between radar estimates and raingauge observations (Section 4).

    Postprint (author’s final draft)

  • Radar-based rainfall nowcasting at European scale: long-term evaluation and performance assessment

     Berenguer Ferrer, Marc; Sempere Torres, Daniel
    Conference on Radar Meteorology
    Presentation's date: 2013-09-20
    Presentation of work at congresses

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    This work studies the performance of CRAHI's algorithm for rainfall nowcasting at European scale using the mosaics produced within the EUMETNET project OPERA (with a resolution of 4 km and 15 minutes) in the framework of the European Civil Protection research project HAREN (www.haren-project.eu). Systematic evaluation has been carried out since June 2012, focusing on the space-time variability of the nowcasting skills, and its dependence on the scale of the forecasted precipitation systems and on rainfall intensities. Also, the probabilistic nowcasting technique SBMcast (Berenguer et al. 2011) has been adapted to the use of OPERA mosaics at European scale to assess the uncertainty in the produced nowcasts. The performance of this probabilistic technique has been evaluated over a number of cases. Finally, the work analyzes the usefulness of these nowcasts for hazard assessment at European scale, based on exceeding the regional rainfall thresholds used by the EUMETNET project METEOALARM.

    This work studies the performance of CRAHI's algorithm for rainfall nowcasting at European scale using the mosaics produced within the EUMETNET project OPERA (with a resolution of 4 km and 15 minutes) in the framework of the European Civil Protection research project HAREN (www.haren-project.eu). Systematic evaluation has been carried out since June 2012, focusing on the space-time variability of the nowcasting skills, and its dependence on the scale of the forecasted precipitation systems and on rainfall intensities. Also, the probabilistic nowcasting technique SBMcast (Berenguer et al. 2011) has been adapted to the use of OPERA mosaics at European scale to assess the uncertainty in the produced nowcasts. The performance of this probabilistic technique has been evaluated over a number of cases. Finally, the work analyzes the usefulness of these nowcasts for hazard assessment at European scale, based on exceeding the regional rainfall thresholds used by the EUMETNET project METEOALARM.

  • A comparison between two probabilistic radar-based nowcasting methods

     Buil Martinez, Alejandro; Berenguer Ferrer, Marc; Sempere Torres, Daniel
    Geophysical research abstracts
    Date of publication: 2013
    Journal article

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  • Compositing radar reflectivity observations with an inverse method

     Roca Sancho, Jordi; Berenguer Ferrer, Marc; Sempere Torres, Daniel
    Geophysical research abstracts
    Date of publication: 2013
    Journal article

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  • An operational flood warning system for poorly gauged basins: demonstration in the Guadalhorce basin (Spain)

     Versini, Pierre-Antoine; Berenguer Ferrer, Marc; Corral Alexandri, Carles; Sempere Torres, Daniel
    Natural hazards
    Date of publication: 2013-11-01
    Journal article

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    This paper deals with the presentation of a flood warning system (GFWS) developed for the specific characteristics of the Guadalhorce basin (3,200 km2, SE of Spain), which is poorly gauged and often affected by flash and plain floods. Its complementarity with the European flood alert system (EFAS) has also been studied. At a lower resolution, EFAS is able to provide a flood forecast several days in advance. The GFWS is adapted to the use of distributed rainfall maps (such as radar rainfall estimates), and discharge forecasts are computed using a distributed rainfall¿runoff model. Due to the lack of flow measurements, the model parameters calibrated on a small watershed have been transferred in most of the basin area. The system is oriented to provide distributed warnings and fulfills the requirements of ungauged basins. This work reports on the performance of the system on two recent rainfall events that caused several inundations. These results show how the GFWS performed well and was able to forecast the location and timing of flooding. It demonstrates that despite its limitations, a simple rainfall¿runoff model and a relatively simple calibration could be useful for event risk management. Moreover, with low resolution and long anticipation, EFAS appears as a good complement tool to improve flood forecasting and compensate for the short lead times of the GFWS

  • Tractament de la incertesa en estimació i previsió de pluja amb radars meteorològics

     Roca Sancho, Jordi
    Defense's date: 2013-10-16
    Department of Geotechnical Engineering and Geo-Sciences, Universitat Politècnica de Catalunya
    Theses

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  • Gestió de riscos torrencials: el projecte IMPRINTS

     Berenguer Ferrer, Marc; Sempere Torres, Daniel
    Gestió de les inundacions
    Presentation's date: 2013-11
    Presentation of work at congresses

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    En aquest article s¿hi presenten els elements necessaris per la generació d¿alertes d¿inundacions torrencials en temps real, prenent com a exemple l¿eina desenvolupada en el Projecte del 7è Programa Marc ¿IMproving Preparedness and RIsk maNagemenT for flash floods and debriS flow events¿ (FP7-ENV-2008-1-IMPRINTS 226555)

  • Integració de dades de radar i pluviòmetre per a la predicció meteorològica d'avingudes

     Rigo, Tomeu; Serra, Aleix; Berenguer Ferrer, Marc
    Gestió de les inundacions
    Presentation's date: 2013-11
    Presentation of work at congresses

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    Tot i que avui en dia les prediccions numèriques són molt acurades, encara no ho són tant com per poder donar un camp de precipitació ajustat a la realitat, a escales temporals horàries i espacials de pocs quilòmetres. Aquest fet es magnifica especialment en episodis de pluges intenses, molt habituals al nostre territori (Llasat et al, 2005) i és aquí on juga un paper clau l¿estimació quantitativa de precipitació (EQP). En el present document, es mostra el procés de generació de les diferents EQP que es fan al Servei Meteorològic de Catalunya (SMC), amb resolucions que van des de la semi-horària fins a diària. Aquests productes es generen mitjançant la combinació de les dades de la xarxa de radars meteorològics (XRAD) i de les estacions meteorològiques automàtiques (XEMA). Amb aquesta finalitat, des de l¿any 2001 l¿SMC, l¿Agència Catalana de l¿Aigua (ACA) i el Centre de Recerca Aplicada en Hidrometeorologia (CRAHI) de la Universitat Politècnica de Catalunya treballen de manera conjunta per tal de desenvolupar una sèrie de productes que facilitin les tasques de predicció de pluges fortes i les consegüents avingudes hidrològiques a partir d¿eines i productes automàtics. En aquest document es presenten les dues xarxes de l¿SMC, les correccions que es fan a cada una d¿elles, la combinació de les mateixes en un producte únic, i, per acabar, l¿ús de la combinació com a eina de predicció.

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    The diurnal cycle of precipitation from continental radar mosaics and numerical weather prediction models. Part II: intercomparison among numerical models and with nowcasting  Open access

     Berenguer Ferrer, Marc; Surcel, Madalina; Xue, Ming; Zawadzki, Isztar; Kong, Fanyou
    Monthly weather review
    Date of publication: 2012-08
    Journal article

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    This second part of a two-paper series compares deterministic precipitation forecasts from the Storm-Scale Ensemble Forecast System (4-km grid) run during the 2008 NOAA Hazardous Weather Testbed (HWT) Spring Experiment, and from the Canadian Global Environmental Multiscale (GEM) model (15 km), in terms of their ability to reproduce the average diurnal cycle of precipitation during spring 2008. Moreover, radar-based nowcasts generated with the McGill Algorithm for Precipitation Nowcasting Using Semi-Lagrangian Extrapolation (MAPLE) are analyzed to quantify the portion of the diurnal cycle explained by the motion of precipitation systems, and to evaluate the potential of the NWP models for very short-term forecasting. The observed diurnal cycle of precipitation during spring 2008 is characterized by the dominance of the 24-h harmonic,which shifts with longitude, consistent with precipitation traveling across the continent. Time–longitude diagrams show that the analyzed NWP models partially reproduce this signal, but show more variability in the timing of initiation in the zonal motion of the precipitation systems than observed from radar. Traditional skill scores show that the radar data assimilation is the main reason for differences in model performance, while the analyzed models that do not assimilate radar observations have very similar skill. The analysis of MAPLE forecasts confirms that the motion of precipitation systems is responsible for the dominance of the 24-h harmonic in the longitudinal range 1038–858W, where 8-h MAPLE forecasts initialized at 0100, 0900, and 1700UTC successfully reproduce the eastward motion of rainfall systems. Also, on average, MAPLE outperforms radar data assimilating models for the 3–4 h after initialization, and nonradar data assimilating models for up to 5 h after initialization.

  • Blending of radar and gauge rainfall measurements: a preliminary analysis of the impact of radar errors

     Sempere Torres, Daniel; Berenguer Ferrer, Marc; Velasco Forero, Carlos Alfonso
    Date of publication: 2012-08
    Book chapter

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    Several methodologies have been proposed to combine radar and raingauge measurements with the aim of generating improved quantitative precipitation estimates (QPEs). These methods are based on interpolating point raingauge measurements (implicitly assumed to be “the truth”) and benefiting from the structure of the rainfall field as depicted by the radar. The use of a non-parametric approach based on radar measurements has been recently demonstrated, showing the benefits in the interpolation of raingauge measurements under the hypotheses of the Kriging approach. Several experiments have been carried out over a large number of cases and a variety of regions, Kriging with an external drift (i.e. the radar description of the rainfall field) being the approach showing more robust and (overall) better performance. Here, the impact of the discrepancies between two almost-collocated radars on the blended QPE fields was investigated.

  • RAINSCANNER@Barcelona : an experiment to assess the hydrological value of a portable X-band radar

     Berenguer Ferrer, Marc; Park, Shinju; Sempere Torres, Daniel; Didszun, Jens; Pool, Marcus; Pfeifer, Monika
    European Conference on Radar in Meteorology and Hydrology
    Presentation's date: 2012-06-25
    Presentation of work at congresses

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  • 3D Radar reflectivity mosaics based on a variational method

     Roca Sancho, Jordi; Berenguer Ferrer, Marc; Sempere Torres, Daniel
    European Conference on Radar in Meteorology and Hydrology
    Presentation's date: 2012-06-25
    Presentation of work at congresses

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    Adding value to the measurements of an X-band radar on Catalonian coast  Open access

     Berenguer Ferrer, Marc; Sempere Torres, Daniel
    Meteorological Technology International
    Date of publication: 2012-08
    Journal article

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    Rainscanner@Barcelona is an experiment assessing the hydrological value of a small X-band radar in urban areas.

  • Reconstruction of historical precipitation based on radar fields: application on Catalonia region (Spain)

     Versini, Pierre-Antoine; Berenguer Ferrer, Marc; Sempere Torres, Daniel
    Geophysical research abstracts
    Date of publication: 2012-04
    Journal article

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  • Benefits and limitations of using the weather radar for the definition of rainfall thresholds for debris flows. Case study from Catalonia (Spain)

     Abanco Martinez de Arenzana, Claudia; Hürlimann Ziegler, Marcel; Sempere Torres, Daniel; Berenguer Ferrer, Marc
    Geophysical research abstracts
    Date of publication: 2012-04
    Journal article

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  • Hazard Assessment based on Rainfall European Nowcasts

     Berenguer Ferrer, Marc; Sempere Torres, Daniel
    Participation in a competitive project

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  • A scenario-incorporating analysis of the propagation of uncertainty to flash flood simulations

     Quintero Duque, Felipe; Sempere Torres, Daniel; Berenguer Ferrer, Marc; Baltas, Evangelos
    Journal of hydrology
    Date of publication: 2012-08
    Journal article

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    This study proposes a methodology to analyze the propagation of uncertainty arising from radar rainfall and model parameter estimation to the flow simulations obtained from flash flood modeling. For this purpose an ensemble approach that describes the error from radar rainfall estimation and a novel approach that considers the seasonality and variability of catchment conditions in the estimation of model parameters have been implemented. The methodology analyzes the separate effect of each sourceof uncertainty and their interaction on runoff simulations. The methodology has been applied in the Besòs river basin, Catalonia (Spain) with a drainage area of 1020 km2. The results show that the effect of parameter estimation uncertainty produces a smaller spread in the model realizations than the effect caused by the uncertainty in rainfall estimation.

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    A variational approach to retrieve 3D radar reflectivity composites  Open access

     Roca Sancho, Jordi; Berenguer Ferrer, Marc; Sempere Torres, Daniel
    Conference on Radar Meteorology
    Presentation's date: 2011-09-29
    Presentation of work at congresses

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    This study proposes an alternative methodology to obtain high-resolution radar reflectivity composites based on a variational approach considering different error sources in an explicit manner. The methodology retrieves the 3-dimensional precipitation field most compatible with the observations from the different radars of the network. With this aim, the methodology uses a model that simulates the radar sampling of the atmosphere. The model settings are different for each radar and include features such as the radar location, hardware parameters (beam width, pulse length…) and the scan strategy. The methodology follows the concept of an inverse method based on the minimization of a cost function that penalizes discrepancies between the simulated and actual observations for each radar. The simulation model is able to reproduce the effect of beam broadening with the distance and attenuation by intense precipitation. The methodology has been applied on two radars close to Barcelona (Spain).

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    A radar-based flash flood forecasting for the Llobregat river basin in the Catalonia region (Spain)  Open access

     Quintero Duque, Felipe; Versini, Pierre-Antoine; Baltas, Evangelos; Berenguer Ferrer, Marc; Sempere Torres, Daniel
    Conference on Radar Meteorology
    Presentation's date: 2011-10-28
    Presentation of work at congresses

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    In this research paper, a flash flood modeling system implemented in a Mediterranean river basin is presented. Radar precipitation estimation along with hydrological modeling techniques are implemented within the system for simulating the runoff generation and routing processes occurring in the catchment. However, there exists an uncertainty related with the estimation of radar precipitation (Zawadzki, 1984) and from model calibration (Beven, 2006). Such uncertainty is propagated to the resulting discharge simulations. The aim of this research paper is to propose a methodology to analyze the propagation of uncertainty occurring at the different processes of the modeling system. For this purpose, a Monte Carlo simulation approach is used to consider the uncertainty arising from rainfall and model parameter estimation.

  • Blending of radar and gauge rainfall measurements: a preliminary analysis of the impact of radar errors

     Sempere Torres, Daniel; Berenguer Ferrer, Marc; Velasco Forero, Carles
    International Symposium on Weather Radar and Hydrology
    Presentation's date: 2011-04
    Presentation of work at congresses

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    Several methodologies have been proposed to combine radar and raingauge measurements with the aim of generating improved quantitative precipitation estimates (QPEs). These methods are based on interpolating point raingauge measurements (implicitly assumed to be "the truth") and benefiting from the structure of the rainfall field as depicted by the radar. The use of a non-parametric approach based on radar measurements has been recently demonstrated, showing the benefits in the interpolation of raingauge measurements under the hypotheses of the Kriging approach. Several experiments have been carried out over a large number of cases and a variety of regions, Kriging with an external drift (i.e. the radar description of the rainfall field) being the approach showing more robust and (overall) better performance. Here, the impact of the discrepancies between two almost-collocated radars on the blended QPE fields was investigated.

    Several methodologies have been proposed to combine radar and raingauge measurements with the aim of generating improved quantitative precipitation estimates (QPEs). These methods are based on interpolating point raingauge measurements (implicitly assumed to be “the truth”) and benefiting from the structure of the rainfall field as depicted by the radar. The use of a non-parametric approach based on radar measurements has been recently demonstrated, showing the benefits in the interpolation of raingauge measurements under the hypotheses of the Kriging approach. Several experiments have been carried out over a large number of cases and a variety of regions, Kriging with an external drift (i.e. the radar description of the rainfall field) being the approach showing more robust and (overall) better performance. Here, the impact of the discrepancies between two almost-collocated radars on the blended QPE fields was investigated.

  • Hacia el uso cuantitativo de un mini-radar para zonas urbanas: el proyecto Rainscanner@BCN

     Sempere Torres, Daniel; Park, Shinju; Berenguer Ferrer, Marc; Pfeifer, Monika
    Jornades de Meteorologia Eduard Fontseré
    Presentation's date: 2011-11
    Presentation of work at congresses

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  • Estudio de la incertidumbre asociada a la simulación hidrológica

     Quintero Duque, Felipe
    Defense's date: 2011-03-31
    Department of Geotechnical Engineering and Geo-Sciences, Universitat Politècnica de Catalunya
    Theses

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  • Desarrollo de una metodología para el uso de entradas de lluvia probabilísticas en sistemas de alerta hidrológica

     Sempere Torres, Daniel; Roca Sancho, Jordi; Berenguer Ferrer, Marc
    Participation in a competitive project

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  • SBMcast - An ensemble nowcasting technique to assess the uncertainty in rainfall forecasts by Lagrangian extrapolation

     Berenguer Ferrer, Marc; Sempere Torres, Daniel; Pegram, Geoff
    Journal of hydrology
    Date of publication: 2011-07-11
    Journal article

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    Deterministic nowcasting based on Lagrangian extrapolation of recent radar observations is a technique used in many operational and research centers and has proven to be useful at extending the anticipation with which flows can be forecasted with a rainfall–runoff model. However, the improvement in flow forecasts is not known a priory and case-dependent, mostly depending on the predictability of the rainfall field. In this work a probabilistic technique has been developed to automatically quantify the uncertainty in radar-based nowcasts obtained by Lagrangian extrapolation to be used in hydrology. The technique follows the ensemble approach: it generates a number of realizations of rainfall forecasts compatible with observations and that reserve the space and time structure of the rainfall field according to the String of Beads model. The results show that the technique reasonably reproduces the evolution of the rainfall field, but that, overall, the errors are underestimated in part due to the fact that the uncertainty in rainfall forecasts due to errors in the motion field is neglected in this current version of the method.

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    Geostatistical radar-raingauge combination with nonparametric correlograms: methodological considerations and application in Switzerland  Open access

     Schiemann, Reinhard; Erdin, Rebecca; Willi, Marco; Frei, Christoph; Berenguer Ferrer, Marc; Sempere Torres, Daniel
    Hydrology and Earth system sciences
    Date of publication: 2011-05-19
    Journal article

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    Modelling spatial covariance is an essential part of all geostatistical methods. Traditionally, parametric semivariogram models are fit from available data. More recently, it has been suggested to use nonparametric correlograms obtained from spatially complete data fields. Here, both estimation techniques are compared. Nonparametric correlograms are shown to have a substantial negative bias. Nonetheless, when combined with the sample variance of the spatial field under consideration, they yield an estimate of the semivariogram that is unbiased for small lag distances. This justifies the use of this estimation technique in geostatistical applications. Various formulations of geostatistical combination (Kriging) methods are used here for the construction of hourly precipitation grids for Switzerland based on data from a sparse realtime network of raingauges and from a spatially complete radar composite. Two variants of Ordinary Kriging (OK) are used to interpolate the sparse gauge observations. In both OK variants, the radar data are only used to determine the semivariogram model. One variant relies on a traditional parametric semivariogram estimate, whereas the other variant uses the nonparametric correlogram. The variants are tested for three cases and the impact of the semivariogram model on the Kriging prediction is illustrated. For the three test cases, the method using nonparametric correlograms performs equally well or better than the traditional method, and at the same time offers great practical advantages. Furthermore, two variants of Kriging with external drift (KED) are tested, both of which use the radar data to estimate nonparametric correlograms, and as the external drift variable. The first KED variant has been used previously for geostatistical radar-raingauge merging in Catalonia (Spain). The second variant is newly proposed here and is an extension of the first. Both variants are evaluated for the three test cases as well as an extended evaluation period. It is found that both methods yield merged fields of better quality than the original radar field or fields obtained by OK of gauge data. The newly suggested KED formulation is shown to be beneficial, in particular in mountainous regions where the quality of the Swiss radar composite is comparatively low. An analysis of the Kriging variances shows that none of the methods tested here provides a satisfactory uncertainty estimate. A suitable variable transformation is expected to improve this.

  • Geostatistical radar-raingauge combination with nonparametric correlograms: methodological considerations and application in Switzerland

     Schiemann, Reinhard; Erdin, Rebekka; Willi, Marco; Frei, Christoph; Berenguer Ferrer, Marc; Sempere Torres, Daniel
    Geophysical research abstracts
    Date of publication: 2011
    Journal article

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  • Improving risk management for flash floods and debris flow events

     Sempere Torres, Daniel; Velasco Montes, David; Berenguer Ferrer, Marc; Bateman Pinzon, Allen; Germann, Urs; Thielen, Jutta; Beven, K.; Zappa, Massimiliano; Uijlenhoet, Remko; Escaler, I.; Papa, M; Pegram, Geoff; Vilaclara, E.; Sanchez-Diezma Guijarro, Rafael; Wittwer, C.; Velasco, E.; Gaechter, M.; Bertoli, M.; Demarchi, M.; Lombardi, G.; Santiago, A.; Zawadzki, Isztar
    Date of publication: 2010
    Book chapter

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    Postprint (author’s final draft)

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    Bias-corrected nonparametric correlograms for geostatistical radar-raingauge combination  Open access

     Schiemann, Reinhard; Erdin, Rebekka; Willi, Marco; Frei, Christoph; Berenguer Ferrer, Marc; Sempere Torres, Daniel
    European Conference on Radar in Meteorology and Hydrology
    Presentation's date: 2010-09-07
    Presentation of work at congresses

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    Geostatistical methods have been widely used for quantitative precipitation estimation (QPE) based on the combination of radar and raingauge observations. They are flexible and accurate and allow for radar-raingauge combination in real-time. Even within the area of geostatistical methods, however, a wide range of choices have to be made when planning for a particular application. These choices regard, for example, the actual combination method (e.g., kriging with external drift, cokriging), the kriging neighbourhood (global vs. local), the technique used to estimate the parameters of the geostatical model (e.g., least-squares, maximum-likelihood estimation), and the transformation of the precipitation variable. In addition to these issues, there are a number of options for modeling spatial dependencies in the precipitation data. Correlograms (variograms) for kriging are customarily one-dimensional, but two- or higher-dimensional correlation maps are also used and are one way of taking spatial anisotropy into account. Furthermore, correlograms can be parametric or nonparametric, they can be obtained from the radar or the raingauge data, and they can be estimated flexibly on a case-by-case basis or with data from a longer period of time. Recently, nonparametric correlograms based on spatially complete radar rainfall fields have been used in combining radar and raingauge data [1]. Here, we compare the estimation of nonparametric correlograms with the estimation of parametric semivariogram models conventionally used in geostatistical applications. We identify and explain a bias of the nonparametric correlograms towards too low ranges, and suggest a correction for this bias.

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    Scale analysis of the diurnal cycle of precipitation over Continental United States  Open access

     Borque, Paloma; Berenguer Ferrer, Marc; Zawadzki, Isztar
    European Conference on Radar in Meteorology and Hydrology
    Presentation's date: 2010-09-08
    Presentation of work at congresses

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    Rainfall initiation is related to diurnal and semidiurnal radiation forcing (e.g. Wallace 1975, Carbone et al. 2002, Surcel et al. 2010). Much of the observed warm season rainfall results from a thermodynamic response to strong diurnal cycle of land surface temperature. Therefore, over some continental regions deep convection tends to peak around local afternoon and early evening hours. However, there is regional uniqueness in the precipitation pattern that implies a connection between regional characteristics and the behaviour of the precipitation field (Wallace 1975, Carbone et al. 2002, Lee et al. 2007). Over western US the diurnal precipitation pattern becomes well organized with a late afternoon maximum along the eastern slopes of the Rocky Mountains (Carbone et al. 2002, Ahijevych et al. 2004, among others). This mountain-initiated convection tends to propagate away, leading to the local evening maximum over the adjacent plains (Lee et al. 2007). The daily occurrence of propagating systems has a high impact on the continental diurnal cycle of precipitation. Parker and Ahijevych (2007) found that approximately 90% of the episodes identified in the east-central US were due to propagating systems from the west. A consequence of these systems result on the transport of the diurnal cycle from west to east (Surcel et al. 2010). The objective of this work is to study the scale dependence of the diurnal cycle and the variability of the rainfall field with the location and time of the day, with special focus on the role of the different spatial scales in such variability.

  • A study of the structure of radar rainfall and its errors  Open access

     Llort Pavon, Xavier
    Defense's date: 2010-06-28
    Department of Geotechnical Engineering and Geo-Sciences, Universitat Politècnica de Catalunya
    Theses

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    Els objectius principals d’aquesta tesi són dos: d’una banda estudiar l’estructura de la variabilitat de la precipitació a diferents escales espacials i temporals, i de l’altra, estudiar l’estructura dels errors en les estimacions quantitatives de precipitació a través de radar. Pel que fa a l’estudi de l’estructura de la precipitació es proposa un marc de comparació per a mètodes de downscaling basat en valorar el grau amb què cada mètode és capaç de reproduir la variabilitat observada a les diferents escales de la pluja i la seva estructura multifractal. Finalment es proposa un mètode de downscaling tridimensional per a generar camps de precipitació d’alta resolució. Partint de dades mesurades amb radar, és capaç de reproduir la variabilitat a totes les escales de la pluja, i a la vegada, conservar l’estructura vertical de la precipitació observada pel radar. En aquesta tesi s’estudia també l’estructura dels errors associats a les mesures de radar, tant terrestre com embarcat en satèl·lit, que queden després de la cadena de correcció. Es realitza un estudi mitjançant simulació física de les observacions del radar, sobre un camp de precipitació d’alta resulució, per caracteritzar l’error relacionat amb la distància d’observació. També es caracteritza l’error total en les estimacions quantitatives de pluja dels radars terrestres mitjançant comparació contra un producte de referència basat en la combinació de radar i pluviòmetres. L’estructura de l’error trobada ha estat usada per generar un ensemble d’estimacions de pluja, que representa la incertesa en les estimacions, i pot ser emprat per aplicacions probabilístiques. Pel que fa a l’estudi de l’estructura de l’error associat a les estimacions de radar embarcat en satel·lit, s’han realitzat comparacions del radar embarcat en el satèl·lit TRMM contra equipament terrestre, per tal de caracteritzar, sota diverses condicions, les diferències en les mesures de precipitació.

    The principal objectives of this thesis are two: on one hand study the structure of the precipitation’s variability at different spatial and temporal scales, and on the other hand study the structure of the errors in the quantitative precipitation estimates by radar. In relation to the precipitation structure, a comparison framework for downscaling methods is proposed. Within this framework, the capability of each method reproducing the variability and multifractal behaviour observed in rainfall can be tested. A three-dimensional downscaling method to generate high-resolution precipitation fields from radar observations is proposed. The method is capable to reproduce the variability of rainfall at all scales and, at the same time, preserve the vertical structure of precipitation observed by the radar. In this thesis the structure of the errors that remain after the correction chain in radar measurements (both ground- and space-borne) is also studied. Simulation of the radar physical measurement process over high-resolution precipitation fields is performed to characterize the error related with range. The overall error in quantitative precipitation estimates by radar is characterized through comparison of radar estimates with a reference product based on a radar-raingauges merging. The error structure is used to generate a radar ensemble of precipitation estimates that represents the uncertainty in the measurements and can be used in probabilistic applications. Regarding the study of the errors associated to spaceborne radar measurements, comparisons of TRMM Precipitation Radar with ground equipment are performed to characterize the discrepancies between the precipitation estimates under different conditions.

  • The diurnal cycle of precipitation from continental radar mosaics and numerical weather prediction models: part I: methodology and seasonal comparison

     Surcel, Madalina; Berenguer Ferrer, Marc; Zawadzki, Isztar
    Monthly weather review
    Date of publication: 2010-08
    Journal article

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  • A study of the error covariance matrix of radar rainfall estimates in stratiform rain. Part II: Scale dependence

     Berenguer Ferrer, Marc; Zawadzki, Isztar
    Weather and forecasting
    Date of publication: 2009-06
    Journal article

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  • Optimal estimation of rainfall fields for hydrological purposes in real time

     Velasco Forero, Carlos Alfonso
    Defense's date: 2009-11-17
    Department of Geotechnical Engineering and Geo-Sciences, Universitat Politècnica de Catalunya
    Theses

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  • IMPROVING PREPAREDNESS AND RISK MANAGEMENT FOR FLASH FLOODS AND DEBRIS FLOW EVENTS

     Roca Sancho, Jordi; Berenguer Ferrer, Marc; Bateman Pinzon, Allen; Medina Iglesias, Vicente Cesar de; Sempere Torres, Daniel
    Participation in a competitive project

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  • The forecasting error statistics for convective-scale prediction: the impact of correlated errors in radar observations

     Chung, Kao-Shen; Zawadzki, Isztar; Luc, Fillion; Berenguer Ferrer, Marc
    Conference on Radar Meteorology
    Presentation's date: 2009-10-09
    Presentation of work at congresses

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  • Characterizing the seasonal variability of the diurnal cycle of precipitation over the continental United States from radar reflectivity mosaics

     Madalina, Surcel; Berenguer Ferrer, Marc; Zawadzki, Isztar
    Conference on Radar in Meteorology
    Presentation's date: 2009-10-08
    Presentation of work at congresses

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  • On the relationship between Z-R, the bright band intensity and ZDR in stratiform precipitation

     Berenguer Ferrer, Marc; Zawadzki, Isztar
    Conference on Radar in Meteorology
    Presentation's date: 2009-10-05
    Presentation of work at congresses

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  • From Radio Detection and Ranging (RADAR) to Meso-Analysis System (MAS)

     Chung, Kao-Shen; Berenguer Ferrer, Marc; Zawadzki, Isztar; Kilambi, Alamelu; Fabry, Frederic; Luc, Fillion
    Conference on Radar in Meteorology
    Presentation's date: 2009-10-09
    Presentation of work at congresses

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  • Characterization of the error structure of precipitation nowcasting

     Roca Sancho, Jordi; Berenguer Ferrer, Marc; Zawadzki, Isztar; Sempere Torres, Daniel
    Conference on Radar in Meteorology
    Presentation's date: 2009-10-05
    Presentation of work at congresses

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    REAL - Ensemble radar precipitation estimation for hydrology in a mountainous region  Open access

     Germann, Urs; Berenguer Ferrer, Marc; Sempere Torres, Daniel; Zappa, Massimiliano
    Quarterly journal of the Royal Meteorological Society
    Date of publication: 2009-02-06
    Journal article

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    An elegant solution to characterise the residual errors in radar precipitation estimates is to generate an ensemble of precipitation fields. The paper proposes a radar ensemble generator designed for usage in the Alps using LU decomposition (REAL), and presents first results from a real-time implementation coupling the radar ensemble with a semi-distributed rainfall–runoff model for flash flood modelling in a steep Alpine catchment. Each member of the radar ensemble is a possible realisation of the unknown true precipitation field given the observed radar field and knowledge of the space–time error structure of radar precipitation estimates. Feeding the alternative realisations into a hydrological model yields a distribution of response values, the spread of which represents the sensitivity of runoff to uncertainties in the input radar precipitation field. The presented ensemble generator is based on singular value decomposition of the error covariance matrix, stochastic simulation using the LU decomposition algorithm, and autoregressive filtering. It allows full representation of spatial dependence of the mean and covariances of radar errors. This is of particular importance in a mountainous region with large uncertainty in radar precipitation estimates and strong dependence of error structure on location. The real-time implementation of the radar ensemble generator coupled with a semi-distributed hydrological model in the framework of the forecast demonstration project MAP D-PHASE is one of the first experiments of this type worldwide, and is a fully novel contribution to this evolving area of applied research.

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    A study of the error covariance matrix of radar rainfall estimates in stratiform rain  Open access

     Berenguer Ferrer, Marc; Zawadzki, Isztar
    Weather and forecasting
    Date of publication: 2008-12
    Journal article

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    The contribution of various physical sources of uncertainty affecting radar rainfall estimates at the ground is quantified toward deriving and understanding the error covariance matrix of these estimates. The focus here is on stratiform precipitation at a resolution of 15 km, which is most relevant for data assimilation onto mesoscale numerical models. In the characterization of the error structure, the following contributions are considered: (i) the individual effect of the range-dependent error (associated with beam broadening and increasing height of radar measurements with range), (ii) the error associated with the transformation from reflectivity to rain rate due to the variability of drop size distributions, and (iii) the interaction of the first two, that is, the term resulting from the cross correlation between the effects of the range-dependent error and the uncertainty related to the variability of drop size distributions (DSDs). For this purpose a large database of S-band radar observations at short range (where reflectivity near the ground is measured and the beam is narrow) is used to characterize the range-dependent error within a simulation framework, and disdrometric measurements collocated with the radar data are used to assess the impact of the variability of DSDs. It is noted that these two sources of error are well correlated in the vicinity of the melting layer as result of the physical processes that determine the density of snow (e.g., riming), which affect both the DSD variability and the vertical profile of reflectivity.

  • Estimación cuantitativa de la lluvia mediante radar meteorológico. Corrección del error asociado a la variación vertical de la reflectividad.

     Franco Lanao, Maria
    Defense's date: 2008-02-28
    Barcelona School of Civil Engineering (ETSECCPB), Universitat Politècnica de Catalunya
    Theses

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  • The effect of resolution on the error covariance matrix of radar rainfall estimates

     Berenguer Ferrer, Marc; Zawadzki, Isztar
    European Conference on Radar in Meteorology and Hydrology
    Presentation's date: 2008
    Presentation of work at congresses

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  • The effect of the diurnal cycle of precipitation in radar-based short-term forecasts

     Berenguer Ferrer, Marc; Turner, Barry J.; Zawadzki, Isztar
    European Conference on Radar in Meteorology and Hydrology
    Presentation's date: 2008-06
    Presentation of work at congresses

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    What does the bright band tell us about the Z-R?  Open access

     Berenguer Ferrer, Marc; Zawadzki, Isztar
    Conference on Radar Meteorology
    Presentation's date: 2007
    Presentation of work at congresses

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    Toward an error covariance matrix of radar rainfall estimates  Open access

     Berenguer Ferrer, Marc; Zawadzki, Isztar
    Conference on Radar in Meteorology
    Presentation's date: 2007
    Presentation of work at congresses

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  • Hydrological uses of meteorological radar. Validation of algorithms for rainfall estimation and forecasting

     Berenguer Ferrer, Marc
    Defense's date: 2006-01-19
    Department of Geotechnical Engineering and Geo-Sciences, Universitat Politècnica de Catalunya
    Theses

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    Ensemble radar precipitation estimation for nowcasting and hydrology in the Alps  Open access

     Germann, Urs; Hering, Alessandro; Berenguer Ferrer, Marc; Sempere Torres, Daniel; Salvadè, Georges
    MAP D-PHASE Scientific Meeting
    Presentation's date: 2006
    Presentation of work at congresses

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    This paper explores the novel idea of generating ensables of radar precipitation estimates.

    Postprint (author’s final draft)