Fechar
Metadados

@Article{NegriMachEnglFors:2014:CoClMo,
               author = "Negri, Renato Galante and Machado, Luiz Augusto Toledo and 
                         English, S. and Forsythe, M.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and European Centre for 
                         Medium-Range Weather Forecasts, Reading, United Kingdom and Met 
                         Office, Exeter, United Kingdom",
                title = "Combining a cloud-resolving model with satellite for cloud process 
                         model simulation validation",
              journal = "Journal of Applied Meteorology and Climatology",
                 year = "2014",
               volume = "53",
               number = "2",
                pages = "521--533",
             keywords = "cloud resolving model, humidity distribution, infrared 
                         observations, model evaluation/performance, operational vertical 
                         sounders, Spinning Enhanced Visible and Infrared Imager, Temporal 
                         resolution, Tropical convection, Image resolution, Infrared 
                         television, Satellites, Tropical engineering, Computer simulation, 
                         computer simulation, convective cloud, model validation, numerical 
                         model, radiative transfer, relative humidity, satellite data, 
                         satellite imagery, SEVIRI, spatial resolution, TOVS, tropical 
                         meteorology, United Kingdom.",
             abstract = "Advances in computer power have made it possible to increase the 
                         spatial resolution of regional numerical models to a scale 
                         encompassing larger convective elements of less than 5 km in size. 
                         One goal of high resolution is to begin to resolve convective 
                         processes, and therefore it is necessary to evaluate the realism 
                         of convective clouds resolved explicitly at this resolution. This 
                         paper presents a method that is based on satellite comparisons to 
                         examine the simulation of continental tropical convection over 
                         Africa, in a high-resolution integration of the Met Office Unified 
                         Model (UK UM), developed under the Cascade project. The spatial 
                         resolution of these simulations is 1.5 km, the temporal resolution 
                         is 15 min, and the convection is resolved explicitly. The Spinning 
                         Enhanced Visible and Infrared Imager (SEVIRI) radiometer 
                         measurements were simulated by the Radiative Transfer for the 
                         Television and Infrared Observation Satellite (TIROS) Operational 
                         Vertical Sounder (RTTOV) model, and then a comparison between the 
                         simulations and real SEVIRI measurements was performed. The 
                         analysis using the presented method shows that the UK UM can 
                         represent tropical convection dynamics realistically. However, an 
                         error has been found in the high-level humidity distribution, 
                         which is characterized by strong humidity gradients. A key point 
                         of this paper is to present a method for establishing the 
                         credibility of a convection-permitting model by direct comparison 
                         with satellite data.",
                  doi = "10.1175/JAMC-D-12-0178.1",
                  url = "http://dx.doi.org/10.1175/JAMC-D-12-0178.1",
                 issn = "1558-8432 and 1558-8424",
                label = "scopus 2014-05 NegriMachEnglFors:2014:CoClMo",
             language = "en",
           targetfile = "Negri_Combining.pdf",
        urlaccessdate = "14 ago. 2020"
}


Fechar