The Experts below are selected from a list of 10335 Experts worldwide ranked by ideXlab platform
N. Simoes - One of the best experts on this subject based on the ideXlab platform.
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quantifying the impact of small scale unmeasured rainfall variability on urban runoff through multifractal downscaling a case study
Journal of Hydrology, 2012Co-Authors: Auguste Gires, C. Onof, C. Maksimovic, D Schertzer, Ioulia Tchiguirinskaia, N. SimoesAbstract:Summary This paper aims at quantifying the uncertainty on urban runoff associated with the unmeasured small scale rainfall variability, i.e. at a resolution finer than 1 km × 1 km × 5 min which is usually available with C-band Radar Networks. A case study is done on the 900 ha urban catchment of Cranbrook (London). A frontal and a convective rainfall event are analysed. An ensemble prediction approach is implemented, that is to say an ensemble of realistic downscaled rainfall fields is generated with the help of universal multifractals, and the corresponding ensemble of hydrographs is simulated. It appears that the uncertainty on the simulated peak flow is significant, reaching for some conduits 25% and 40% respectively for the frontal and the convective events. The flow corresponding the 90% quantile, the one simulated with Radar distributed rainfall, and the spatial resolution are power law related.
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Quantifying the impact of small scale unmeasured rainfall variability on urban runoff through multifractal downscaling: A case study
Journal of Hydrology, 2012Co-Authors: Auguste Gires, C. Onof, C. Maksimovic, D Schertzer, Ioulia Tchiguirinskaia, N. SimoesAbstract:This paper aims at quantifying the uncertainty on urban runoff associated with the unmeasured small scale rainfall variability, i.e. at a resolution finer than 1. km. ×. 1. km. ×. 5. min which is usually available with C-band Radar Networks. A case study is done on the 900. ha urban catchment of Cranbrook (London). A frontal and a convective rainfall event are analysed. An ensemble prediction approach is implemented, that is to say an ensemble of realistic downscaled rainfall fields is generated with the help of universal multifractals, and the corresponding ensemble of hydrographs is simulated. It appears that the uncertainty on the simulated peak flow is significant, reaching for some conduits 25% and 40% respectively for the frontal and the convective events. The flow corresponding the 90% quantile, the one simulated with Radar distributed rainfall, and the spatial resolution are power law related. © 2012 Elsevier B.V.
Olivier Bousquet - One of the best experts on this subject based on the ideXlab platform.
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Using Gap-Filling Radars in Mountainous Regions to Complement a National Radar Network: Improvements in Multiple-Doppler Wind Syntheses
Journal of Applied Meteorology and Climatology, 2013Co-Authors: Jeffrey Beck, Olivier BousquetAbstract:The existing French Application Radar a la M et eorologie Infrasynoptique (ARAMIS) operational Radar network covers a vast majority of the country of France, yet like many national Networks, gaps in coverage are present in regions of mountainous and high terrain. Many of these areas are prone to extreme, orographyinduced precipitation events, and therefore expansion of national Radar Networks into these regions is very important. The addition of small X-band Radars, strategically placed to supplement the ARAMIS network, is discussed with emphasis on the ability to expand three-dimensional wind and reflectivity field retrieval. This expanded coverage is particularly important for terrain-related precipitation in the southern Alps. Successful dual- and multiple-Doppler syntheses were conducted using the existing ARAMIS network and two new Radars located in mountainous terrain, installed within the context of the Risques Hydrom et eorologiques en Territoires de Montagnes et Mediterran eens (RHYTMME) program. To illustrate the coverage and advantage that gap-filling Radars can add to an existing national Radar network, two case studies are presented, with multiple-Doppler syntheses revealing that terrain relief and low-level atmospheric stability influence the resulting wind field. In addition to the added coverage, the RHYTMME gap-filling Radars improve wind-flow retrieval and the accuracy of reflectivity measurements over extreme southeast France and into the Mediterranean Sea.
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using operationally synthesized multiple doppler winds for high resolution horizontal wind forecast verification
Geophysical Research Letters, 2008Co-Authors: Olivier Bousquet, Thibaut Montmerle, Pierre TabaryAbstract:[1] The potential value of operational Doppler Radar Networks for high resolution wind forecast verification is investigated through comparing wind outputs of the cloud resolving model AROME against newly available operational multiple-Doppler winds in northern France. Quantitative comparisons of Radar and model winds for a 16-h frontal precipitation event show good agreement, with differences in wind speed (resp. direction) generally comprised between ±2.5 m.s−1 (resp. ±15°). Power spectra deduced from the scale decomposition of Radar and model outputs also show good agreement through all scales. The method is also applied to validate the divergence structures as analyzed by AROME's 3Dvar assimilation system that considers, among a comprehensive set of observation types, the same radial velocities than those considered in the wind retrieval.
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On the value of operationally synthesized multiple-Doppler wind fields
Geophysical Research Letters, 2007Co-Authors: Olivier Bousquet, Pierre Tabary, J. Parent-du-chateletAbstract:The ability to collect radial velocity measurements at long range resulting from the deployment of innovative Doppler schemes within operational Radar Networks brings new perspectives in terms of exploitation of operational Doppler data, including the ability to routinely retrieve meso-β three-dimensional (3-D) multiple-Doppler wind fields over extensive areas. In this paper, we evaluate the potential of this new capability in terms of operational applications using Radar data collected by the French Radar network ARAMIS. The retrieved 3-D wind fields are shown to provide reliable and continuous mapping of the kinematic structure of rain events and appear particularly suitable for both short term forecasting and model verification purposes.
Pierre Tabary - One of the best experts on this subject based on the ideXlab platform.
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using operationally synthesized multiple doppler winds for high resolution horizontal wind forecast verification
Geophysical Research Letters, 2008Co-Authors: Olivier Bousquet, Thibaut Montmerle, Pierre TabaryAbstract:[1] The potential value of operational Doppler Radar Networks for high resolution wind forecast verification is investigated through comparing wind outputs of the cloud resolving model AROME against newly available operational multiple-Doppler winds in northern France. Quantitative comparisons of Radar and model winds for a 16-h frontal precipitation event show good agreement, with differences in wind speed (resp. direction) generally comprised between ±2.5 m.s−1 (resp. ±15°). Power spectra deduced from the scale decomposition of Radar and model outputs also show good agreement through all scales. The method is also applied to validate the divergence structures as analyzed by AROME's 3Dvar assimilation system that considers, among a comprehensive set of observation types, the same radial velocities than those considered in the wind retrieval.
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On the value of operationally synthesized multiple-Doppler wind fields
Geophysical Research Letters, 2007Co-Authors: Olivier Bousquet, Pierre Tabary, J. Parent-du-chateletAbstract:The ability to collect radial velocity measurements at long range resulting from the deployment of innovative Doppler schemes within operational Radar Networks brings new perspectives in terms of exploitation of operational Doppler data, including the ability to routinely retrieve meso-β three-dimensional (3-D) multiple-Doppler wind fields over extensive areas. In this paper, we evaluate the potential of this new capability in terms of operational applications using Radar data collected by the French Radar network ARAMIS. The retrieved 3-D wind fields are shown to provide reliable and continuous mapping of the kinematic structure of rain events and appear particularly suitable for both short term forecasting and model verification purposes.
Auguste Gires - One of the best experts on this subject based on the ideXlab platform.
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quantifying the impact of small scale unmeasured rainfall variability on urban runoff through multifractal downscaling a case study
Journal of Hydrology, 2012Co-Authors: Auguste Gires, C. Onof, C. Maksimovic, D Schertzer, Ioulia Tchiguirinskaia, N. SimoesAbstract:Summary This paper aims at quantifying the uncertainty on urban runoff associated with the unmeasured small scale rainfall variability, i.e. at a resolution finer than 1 km × 1 km × 5 min which is usually available with C-band Radar Networks. A case study is done on the 900 ha urban catchment of Cranbrook (London). A frontal and a convective rainfall event are analysed. An ensemble prediction approach is implemented, that is to say an ensemble of realistic downscaled rainfall fields is generated with the help of universal multifractals, and the corresponding ensemble of hydrographs is simulated. It appears that the uncertainty on the simulated peak flow is significant, reaching for some conduits 25% and 40% respectively for the frontal and the convective events. The flow corresponding the 90% quantile, the one simulated with Radar distributed rainfall, and the spatial resolution are power law related.
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Quantifying the impact of small scale unmeasured rainfall variability on urban runoff through multifractal downscaling: A case study
Journal of Hydrology, 2012Co-Authors: Auguste Gires, C. Onof, C. Maksimovic, D Schertzer, Ioulia Tchiguirinskaia, N. SimoesAbstract:This paper aims at quantifying the uncertainty on urban runoff associated with the unmeasured small scale rainfall variability, i.e. at a resolution finer than 1. km. ×. 1. km. ×. 5. min which is usually available with C-band Radar Networks. A case study is done on the 900. ha urban catchment of Cranbrook (London). A frontal and a convective rainfall event are analysed. An ensemble prediction approach is implemented, that is to say an ensemble of realistic downscaled rainfall fields is generated with the help of universal multifractals, and the corresponding ensemble of hydrographs is simulated. It appears that the uncertainty on the simulated peak flow is significant, reaching for some conduits 25% and 40% respectively for the frontal and the convective events. The flow corresponding the 90% quantile, the one simulated with Radar distributed rainfall, and the spatial resolution are power law related. © 2012 Elsevier B.V.
J. Parent-du-chatelet - One of the best experts on this subject based on the ideXlab platform.
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On the value of operationally synthesized multiple-Doppler wind fields
Geophysical Research Letters, 2007Co-Authors: Olivier Bousquet, Pierre Tabary, J. Parent-du-chateletAbstract:The ability to collect radial velocity measurements at long range resulting from the deployment of innovative Doppler schemes within operational Radar Networks brings new perspectives in terms of exploitation of operational Doppler data, including the ability to routinely retrieve meso-β three-dimensional (3-D) multiple-Doppler wind fields over extensive areas. In this paper, we evaluate the potential of this new capability in terms of operational applications using Radar data collected by the French Radar network ARAMIS. The retrieved 3-D wind fields are shown to provide reliable and continuous mapping of the kinematic structure of rain events and appear particularly suitable for both short term forecasting and model verification purposes.
