39 resultados para Representativity
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In situ precipitation measurements can extremely differ in space and time. Taking into account the limited spatial–temporal representativity and the uncertainty of a single station is important for validating mesoscale numerical model results as well as for interpreting remote sensing data. In situ precipitation data from a high resolution network in North-Eastern Germany are analysed to determine their temporal and spatial representativity. For the dry year 2003 precipitation amounts were available with 10 min resolution from 14 rain gauges distributed in an area of 25 km 25 km around the Meteorological Observatory Lindenberg (Richard-Aßmann Observatory). Our analysis reveals that short-term (up to 6 h) precipitation events dominate (94% of all events) and that the distribution is skewed with a high frequency of very low precipitation amounts. Long-lasting precipitation events are rare (6% of all precipitation events), but account for nearly 50% of the annual precipitation. The spatial representativity of a single-site measurement increases slightly for longer measurement intervals and the variability decreases. Hourly precipitation amounts are representative for an area of 11 km 11 km. Daily precipitation amounts appear to be reliable with an uncertainty factor of 3.3 for an area of 25 km 25 km, and weekly and monthly precipitation amounts have uncertainties of a factor of 2 and 1.4 when compared to 25 km 25 km mean values.
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The observation-error covariance matrix used in data assimilation contains contributions from instrument errors, representativity errors and errors introduced by the approximated observation operator. Forward model errors arise when the observation operator does not correctly model the observations or when observations can resolve spatial scales that the model cannot. Previous work to estimate the observation-error covariance matrix for particular observing instruments has shown that it contains signifcant correlations. In particular, correlations for humidity data are more significant than those for temperature. However it is not known what proportion of these correlations can be attributed to the representativity errors. In this article we apply an existing method for calculating representativity error, previously applied to an idealised system, to NWP data. We calculate horizontal errors of representativity for temperature and humidity using data from the Met Office high-resolution UK variable resolution model. Our results show that errors of representativity are correlated and more significant for specific humidity than temperature. We also find that representativity error varies with height. This suggests that the assimilation scheme may be improved if these errors are explicitly included in a data assimilation scheme. This article is published with the permission of the Controller of HMSO and the Queen's Printer for Scotland.
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This paper presents an analysis of ground-based Aerosol Optical Depth (AOD) observations by the Aerosol Robotic Network (AERONET) in South America from 2001 to 2007 in comparison with the satellite AOD product of Moderate Resolution Imaging Spectroradiometer (MODIS), aboard TERRA and AQUA satellites. Data of 12 observation sites were used with primary interest in AERONET sites located in or downwind of areas with high biomass burning activity and with measurements available for the full time range. Fires cause the predominant carbonaceous aerosol emission signal during the dry season in South America and are therefore a special focus of this study. Interannual and seasonal behavior of the observed AOD at different sites were investigated, showing clear differences between purely fire and urban influenced sites. An intercomparison of AERONET and MODIS AOD annual correlations revealed that neither an interannual long-term trend may be observed nor that correlations differ significantly owing to different overpass times of TERRA and AQUA. Individual anisotropic representativity areas for each AERONET site were derived by correlating daily AOD of each site for all years with available individual MODIS AOD pixels gridded to 1 degrees x 1 degrees. Results showed that for many sites a good AOD correlation (R(2) > 0.5) persists for large, often strongly anisotropic, areas. The climatological areas of common regional aerosol regimes often extend over several hundreds of kilometers, sometimes far across national boundaries. As a practical application, these strongly inhomogeneous and anisotropic areas of influence are being implemented in the tropospheric aerosol data assimilation system of the Coupled Chemistry-Aerosol-Tracer Transport Model coupled to the Brazilian Regional Atmospheric Modeling System (CCATT-BRAMS) at the Brazilian National Institute for Space Research (INPE). This new information promises an improved exploitation of local site sampling and, thus, chemical weather forecast.
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Universidade Estadual de Campinas. Faculdade de Educação Física
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Dissertação apresentada à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Publicidade e Marketing.
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Relatório de Estágio apresentado como requisito parcial para a obtenção do grau de Mestre em Estatística e Gestão de Informação
Ditribuição de terras raras e outros elementos incompatíveis no Maciço de Monchique; nota preliminar
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When approaching a geochemical project a few problems of methodology have to be considered, among them the exploration grid that as to obey to representativity/rentability criteria. This preliminary study permitted to save near 27% on the sampling comparing with the net initially envisaged. Some criteria considered in the elaboration of the grade variation maps and the distribution of two elements in the area already sampled are also presented.
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Dissertação para obtenção do Grau de Mestre em Engenharia Informática
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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Dissertação de Mestrado em Estratégia
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Cette thèse explore les implications politiques de la montée en puissance des normes internationales sur nos sociétés contemporaines et pose la problématique des dynamiques participatives des représentants des consommateurs au sein des formes de pouvoir non étatique à l'aide du cas de l'Organisation internationale de normalisation (ISO). Le renforcement du pouvoir des normes internationales et autres spécifications techniques soulève d'importants enjeux démocratiques qui portent aussi bien sur la représentativité des acteurs qui les élaborent, sur l'articulation des prérogatives publiques et privées dans la gouvernance de la mondialisation, que sur le rôle de l'expertise dans la reconnaissance de ces nouvelles formes de pouvoir. La participation du monde associatif intervient sur ces différents enjeux de manière complexe. Cette recherche s'inscrit à la suite des études en relations internationales/économie politique internationale sur les formes d'autorité non étatique et s'inspire du concept de traduction issu de la sociologie des sciences et techniques pour mettre en lumière le rôle des spécifications techniques dans la construction d'une société de consommation centrée sur la liberté de choix et la façon dont les associations de consommateurs se saisissent des arènes de normalisation pour y faire valoir des préoccupations collectives, leur expertise et leur identité. Cette thèse défend l'idée que les consommateurs participent à la construction de l'autorité des normes internationales par leur rôle dans la traduction qui permet de relier les spécifications techniques au fonctionnement des marchés, au cadre réglementaire de la loi et aux préoccupations sociétales. L'analyse repose sur une observation ethnographique des délibérations d'un comité technique de l'ISO, une recherche-‐action, la réalisation d'entretiens et la consultation de documents d'archives de l'ISO. -- This thesis explores the political significance of the rise of international standards on contemporary societies and questions the participatory dynamics of consumers' representatives within nonstate forms of power, using the case of the International organization for standardization (ISO). The power granted to international standards and other technical specifications raises important democratic issues regarding the representativity of standard-‐ writers, the public-‐private relationships involved in this form of governance or the expertise sustaining the recognition of such new forms of power. The participation of civil society associations affect such issues in complex ways. This research relies on international relations/international political economy approaches of nonstate authority and takes inspiration from the concept of translation developed by science and technology studies to highlight the crucial role played by technical specifications in building a consumer society based on the freedom of choice as well as how consumers' associations take stock of standardization arenas to promote collective issues and claim their expertise and identity. This thesis argues that consumers contribute to the construction of the authority of international standards through their role in the translation that links international standards to the market society, the regulatory state as well as to societal preoccupation. The analysis is based on an ethnographic observation of deliberations within an ISO technical committee, a research-‐action, interviews as well as on the consultation of ISO archives.
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A survey of medical ambulatory practice was carried out in February-March 1981 in the two Swiss cantons of Vaud and Fribourg (total population: 700,000), in which 205 physicians participated. The methodology used was inspired from the U.S. National Ambulatory Medical Care Survey, the data collection instrument of which was adapted to our conditions; in addition, data were gathered on all referrals prescribed by 154 physicians during two weeks. (The instruments used are presented.) The potential and limits of this type of survey are discussed, as well as the representativity of the participating physicians and of the recorded visits, which are a systematic sample of over 43,000 visits.
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The pursuit of high response rates to minimise the threat of nonresponse bias continues to dominate decisions about resource allocation in survey research. Yet a growing body of research has begun to question this practice. In this study, we use previously unavailable data from a new sampling frame based on population registers to assess the value of different methods designed to increase response rates on the European Social Survey in Switzerland. Using sampling data provides information about both respondents and nonrespondents, making it possible to examine how changes in response rates resulting from the use of different fieldwork methods relate to changes in the composition and representativeness of the responding sample. We compute an R-indicator to assess representativity with respect to the sampling register variables, and find little improvement in the sample composition as response rates increase. We then examine the impact of response rate increases on the risk of nonresponse bias based on Maximal Absolute Bias (MAB), and coefficients of variation between subgroup response rates, alongside the associated costs of different types of fieldwork effort. The results show that increases in response rate help to reduce MAB, while only small but important improvements to sample representativity are gained by varying the type of effort. These findings lend further support to research that has called into question the value of extensive investment in procedures aimed at reaching response rate targets and the need for more tailored fieldwork strategies aimed both at reducing survey costs and minimising the risk of bias.
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The paper presents some contemporary approaches to spatial environmental data analysis. The main topics are concentrated on the decision-oriented problems of environmental spatial data mining and modeling: valorization and representativity of data with the help of exploratory data analysis, spatial predictions, probabilistic and risk mapping, development and application of conditional stochastic simulation models. The innovative part of the paper presents integrated/hybrid model-machine learning (ML) residuals sequential simulations-MLRSS. The models are based on multilayer perceptron and support vector regression ML algorithms used for modeling long-range spatial trends and sequential simulations of the residuals. NIL algorithms deliver non-linear solution for the spatial non-stationary problems, which are difficult for geostatistical approach. Geostatistical tools (variography) are used to characterize performance of ML algorithms, by analyzing quality and quantity of the spatially structured information extracted from data with ML algorithms. Sequential simulations provide efficient assessment of uncertainty and spatial variability. Case study from the Chernobyl fallouts illustrates the performance of the proposed model. It is shown that probability mapping, provided by the combination of ML data driven and geostatistical model based approaches, can be efficiently used in decision-making process. (C) 2003 Elsevier Ltd. All rights reserved.
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The quality of environmental data analysis and propagation of errors are heavily affected by the representativity of the initial sampling design [CRE 93, DEU 97, KAN 04a, LEN 06, MUL07]. Geostatistical methods such as kriging are related to field samples, whose spatial distribution is crucial for the correct detection of the phenomena. Literature about the design of environmental monitoring networks (MN) is widespread and several interesting books have recently been published [GRU 06, LEN 06, MUL 07] in order to clarify the basic principles of spatial sampling design (monitoring networks optimization) based on Support Vector Machines was proposed. Nonetheless, modelers often receive real data coming from environmental monitoring networks that suffer from problems of non-homogenity (clustering). Clustering can be related to the preferential sampling or to the impossibility of reaching certain regions.