representing radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approach
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: representing radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approach
representing radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approach
Accepted ManuscriptResearch papersRepresenting radar rainfall uncertainty with ensembles based on a time-variant geostatistical error modelling approa representing radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approachachFrancesca Cecinati. Miguel Angel Rico-Ramirez. Gerard B.M. Heuvelink.Dawci Han1’11:S0Ơ22-1694(17)30132-4DOI:http://dx.doi.org/l0.10l6/jjhydrol.2017.02.053Reference:HYDROL 21852To appear in:Journal of HydrologyReceived Date:42388Revised Date:42773Accepted Date:42792Please cite this article as: Cec representing radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approachinati. F.. Rico-Ramirez. M.A.. Heuvelink. G.B.M.. Han. D.. Representing radar rainfall uncertainly with ensembles based on a time-variant geostatisticrepresenting radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approach
al error modelling approach. Journal of Hydrology (2017). doi: http://dx.doi.org/IO. 10l6/j.jhydrol.2017.02.053This is a PDF file of an unedited manusAccepted ManuscriptResearch papersRepresenting radar rainfall uncertainty with ensembles based on a time-variant geostatistical error modelling approa representing radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approach undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered w hich could affect the content, and all legal disclaimers that apply to the journal pertain.ACCEPTED MANUSCRIPTRepre representing radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approachsenting radar rainfalluncertainty with ensemblesAuthors: Francesca Cecinati', Miguel Angel Rico-Ramirez", Gerard B.modelling approachM. Heuvelink0, barepresenting radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approach
wei Han-''University of Bristol, Department of Civil Engineering, BS8 1UH,ristol, UKbWageningen University, Soil Geography and Landscape Group, POBox Accepted ManuscriptResearch papersRepresenting radar rainfall uncertainty with ensembles based on a time-variant geostatistical error modelling approa representing radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approachntitative precipitation estimation (QPE) to hydrology and water quality models can be preferred to interpolated rainfall point measurements because of the wide coverage that radars can provide, together with a good spatiotemporal resolution. Nonetheless, it is often limited by the proneness of radar representing radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approach QPE to a multitude of errors. Although radar errors have been widely studied and techniques have been developed to correct most of them, residual errrepresenting radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approach
ors are still intrinsic in radar QPE. An estimation of uncertainty of radar QPE and an assessment of uncertainty propagation in modelling applicationsAccepted ManuscriptResearch papersRepresenting radar rainfall uncertainty with ensembles based on a time-variant geostatistical error modelling approa representing radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approachle tool for this purpose Is the generation of radar rainfall ensembles. An ensemble is the representation of the rainfall field and Its uncertainty through a collection of possible alternative rainfall fields, produced according to the observed errors, their spatial characteristics, and their probab representing radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approachility distribution. The errors are derived from a comparison between radar QPE and ground point measurements. The novelty of the proposed ensemble genrepresenting radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approach
erator is that it IS based on a geostatistical approach that assures a fast and robust generation of synthetic error fields, based on the time-variantAccepted ManuscriptResearch papersRepresenting radar rainfall uncertainty with ensembles based on a time-variant geostatistical error modelling approa representing radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approachcase study in Northern England, using the2ACCEPTED MANUSCRIPTUK Met Office NIMROD radar composites at 1 km resolution and at 1 hour accumulation on an area of 180 km by 180 km.The errors are estimated using a network of 199 tipping bucket rain gauges from the Environment Agency. 183 of the rain gaug representing radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approaches are used for the error modelling, while 16 are kept apart for validation. The validation is done by comparing the radar rainfall ensemble witl therepresenting radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approach
values recorded by the validation rain gauges. The validated ensemble is then tested on a hydrological case study, to show the advantage of probabilisAccepted ManuscriptResearch papersRepresenting radar rainfall uncertainty with ensembles based on a time-variant geostatistical error modelling approa representing radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approachidual uncertainty can be attributed to other sources of uncertainty, in particular to model structural uncertainty, parameter identification uncertainty, uncertainty in other Inputs, and uncertainty in the observed flow.KeywordsRadar QPE error model, time-variant variograms, radar ensemble, conditio representing radar rainfall uncertainty with ensembles based on a time variant geostatistical error modelling approachnal simulations, rainfall uncertainty propagation.Accepted ManuscriptResearch papersRepresenting radar rainfall uncertainty with ensembles based on a time-variant geostatistical error modelling approaAccepted ManuscriptResearch papersRepresenting radar rainfall uncertainty with ensembles based on a time-variant geostatistical error modelling approaGọi ngay
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