241 resultados para General Linear Model
Filtro por publicador
- Aberdeen University (1)
- Academic Research Repository at Institute of Developing Economies (3)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (12)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (4)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (7)
- Archive of European Integration (2)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (6)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (20)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (61)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (18)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- CentAUR: Central Archive University of Reading - UK (241)
- Cochin University of Science & Technology (CUSAT), India (4)
- Coffee Science - Universidade Federal de Lavras (1)
- Collection Of Biostatistics Research Archive (7)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (7)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (41)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (2)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (7)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons - Michigan Tech (2)
- Digital Commons at Florida International University (9)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (9)
- DigitalCommons@University of Nebraska - Lincoln (3)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (9)
- Duke University (1)
- Earth Simulator Research Results Repository (3)
- Glasgow Theses Service (2)
- Institute of Public Health in Ireland, Ireland (1)
- Institutional Repository of Leibniz University Hannover (1)
- Instituto Politécnico de Bragança (1)
- Instituto Politécnico do Porto, Portugal (4)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (1)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- National Center for Biotechnology Information - NCBI (2)
- Nottingham eTheses (1)
- Publishing Network for Geoscientific & Environmental Data (14)
- QSpace: Queen's University - Canada (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (4)
- Repositório da Produção Científica e Intelectual da Unicamp (7)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (40)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- REPOSITORIO DIGITAL IMARPE - INSTITUTO DEL MAR DEL PERÚ, Peru (2)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositorio Institucional da UFLA (RIUFLA) (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (2)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (137)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (5)
- Scielo Saúde Pública - SP (37)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (13)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (16)
- Universidad Politécnica de Madrid (6)
- Universidade Complutense de Madrid (8)
- Universidade do Minho (3)
- Universidade dos Açores - Portugal (2)
- Universidade Federal de Uberlândia (2)
- Universidade Federal do Pará (7)
- Universidade Federal do Rio Grande do Norte (UFRN) (15)
- Universitat de Girona, Spain (3)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (5)
- Université de Lausanne, Switzerland (44)
- Université de Montréal, Canada (25)
- University of Canberra Research Repository - Australia (2)
- University of Connecticut - USA (3)
- University of Michigan (1)
- University of Queensland eSpace - Australia (16)
- University of Washington (2)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
In the event of a volcanic eruption the decision to close airspace is based on forecast ash maps, produced using volcanic ash transport and dispersion models. In this paper we quantitatively evaluate the spatial skill of volcanic ash simulations using satellite retrievals of ash from the Eyja allajökull eruption during the period from 7 to 16 May 2010. We find that at the start of this period, 7–10 May, the model (FLEXible PARTicle) has excellent skill and can predict the spatial distribution of the satellite-retrieved ash to within 0.5∘ × 0.5∘ latitude/longitude. However, on 10 May there is a decrease in the spatial accuracy of the model to 2.5∘× 2.5∘ latitude/longitude, and between 11 and 12 May the simulated ash location errors grow rapidly. On 11 May ash is located close to a bifurcation point in the atmosphere, resulting in a rapid divergence in the modeled and satellite ash locations. In general, the model skill reduces as the residence time of ash increases. However, the error growth is not always steady. Rapid increases in error growth are linked to key points in the ash trajectories. Ensemble modeling using perturbed meteorological data would help to represent this uncertainty, and assimilation of satellite ash data would help to reduce uncertainty in volcanic ash forecasts.