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dc.contributor.authorRadanovics, Sabine
dc.contributor.authorVidal, Jean-Philippe
dc.contributor.authorSauquet, Eric
dc.date.accessioned2019-09-19T10:05:24Z
dc.date.available2019-09-19T10:05:24Z
dc.date.copyright5/18/2018 12:00:00 AM
dc.date.issued2018
dc.identifier.otherwaf-d-17-0162.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261401
dc.description.abstractAbstractSpatial verification methods able to handle high-resolution ensemble forecasts and analysis ensembles are increasingly required because of the increasing development of such ensembles. An ensemble extension of the structure?amplitude?location (SAL) spatial verification method is proposed here. The ensemble SAL (eSAL) allows for verifying ensemble forecasts against a deterministic or ensemble analysis. The eSAL components are equal to those of SAL in the deterministic case, thus allowing the comparison of deterministic and ensemble forecasts. The Mesoscale Verification Intercomparison over Complex Terrain (MesoVICT) project provides a dataset containing deterministic and ensemble precipitation forecasts as well as a deterministic and ensemble analysis for case studies in summer 2007 over the greater Alpine region. These datasets allow for testing of the sensitivity of SAL and eSAL to analysis uncertainty and their suitability for the verification of ensemble forecasts. Their sensitivity with respect to the main parameter of this feature-based method?the threshold for defining precipitation features?is furthermore tested for both the deterministic and ensemble forecasts. Our results stress the importance of using meaningful thresholds in order to limit any unstable behavior of the threshold-dependent SAL components. The eSAL components are typically close to the median of the distribution of deterministic SAL components calculated for all combinations of ensemble members of the forecast and the analysis, with considerably less computational time. The eSAL ensemble extension of SAL can be considered as a relevant summary measure that leads to more easily interpretable SAL diagrams.
dc.publisherAmerican Meteorological Society
dc.titleSpatial Verification of Ensemble Precipitation: An Ensemble Version of SAL
dc.typeJournal Paper
dc.journal.volume33
dc.journal.issue4
dc.journal.titleWeather and Forecasting
dc.identifier.doi10.1175/WAF-D-17-0162.1
dc.journal.fristpage1001
dc.journal.lastpage1020
dc.treeWeather and Forecasting:;2018:;volume 033:;issue 004
dc.contenttypeFulltext


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