Accurate radiometry from space: an essential tool for climate studies

The Earth's climate is undoubtedly changing; however, the time scale, consequences and causal attribution remain the subject of significant debate and uncertainty. Detection of subtle indicators from a background of natural variability requires measurements over a time base of decades. This places severe demands on the instrumentation used, requiring measurements of sufficient accuracy and sensitivity that can allow reliable judgements to be made decades apart. The International System of Units (SI) and the network of National Metrology Institutes were developed to address such requirements. However, ensuring and maintaining SI traceability of sufficient accuracy in instruments orbiting the Earth presents a significant new challenge to the metrology community. This paper highlights some key measurands and applications driving the uncertainty demand of the climate community in the solar reflective domain, e.g. solar irradiances and reflectances/radiances of the Earth. It discusses how meeting these uncertainties facilitate significant improvement in the forecasting abilities of climate models. After discussing the current state of the art, it describes a new satellite mission, called TRUTHS, which enables, for the first time, high-accuracy SI traceability to be established in orbit. The direct use of a ‘primary standard’ and replication of the terrestrial traceability chain extends the SI into space, in effect realizing a ‘metrology laboratory in space’.

Application of near and mid-infrared spectroscopy to determine cheese quality and authenticity

This paper reviews the current state of development of both near-infrared (NIR) and mid-infrared (MIR) spectroscopic techniques for process monitoring, quality control, and authenticity determination in cheese processing. Infrared spectroscopy has been identified as an ideal process analytical technology tool, and recent publications have demonstrated the potential of both NIR and MIR spectroscopy, coupled with chemometric techniques, for monitoring coagulation, syneresis, and ripening as well as determination of authenticity, composition, sensory, and rheological parameters. Recent research is reviewed and compared on the basis of experimental design, spectroscopic and chemometric methods employed to assess the potential of infrared spectroscopy as a technology for improving process control and quality in cheese manufacture. Emerging research areas for these technologies, such as cheese authenticity and food chain traceability, are also discussed.

Ensemble clustering in deterministic ensemble Kalman filters

Ensemble clustering (EC) can arise in data assimilation with ensemble square root filters (EnSRFs) using non-linear models: an M-member ensemble splits into a single outlier and a cluster of M−1 members. The stochastic Ensemble Kalman Filter does not present this problem. Modifications to the EnSRFs by a periodic resampling of the ensemble through random rotations have been proposed to address it. We introduce a metric to quantify the presence of EC and present evidence to dispel the notion that EC leads to filter failure. Starting from a univariate model, we show that EC is not a permanent but transient phenomenon; it occurs intermittently in non-linear models. We perform a series of data assimilation experiments using a standard EnSRF and a modified EnSRF by a resampling though random rotations. The modified EnSRF thus alleviates issues associated with EC at the cost of traceability of individual ensemble trajectories and cannot use some of algorithms that enhance performance of standard EnSRF. In the non-linear regimes of low-dimensional models, the analysis root mean square error of the standard EnSRF slowly grows with ensemble size if the size is larger than the dimension of the model state. However, we do not observe this problem in a more complex model that uses an ensemble size much smaller than the dimension of the model state, along with inflation and localisation. Overall, we find that transient EC does not handicap the performance of the standard EnSRF.

Understanding climate data through commentary metadata: the CHARMe project

We describe the CHARMe project, which aims to link climate datasets with publications, user feedback and other items of "commentary metadata". The system will help users learn from previous community experience and select datasets that best suit their needs, as well as providing direct traceability between conclusions and the data that supported them. The project applies the principles of Linked Data and adopts the Open Annotation standard to record and publish commentary information. CHARMe contributes to the emerging landscape of "climate services", which will provide climate data and information to influence policy and decision-making. Although the project focuses on climate science, the technologies and concepts are very general and could be applied to other fields.

Determination of the absolute accuracy of UK chamber facilities used in measuring methane emissions from livestock

Respiration chambers are one of the primary sources of data on methane emissions from livestock. This paper describes the results from a coordinated set of chamber validation experiments which establishes the absolute accuracy of the methane emission rates measured by the chambers, and for the first time provides metrological traceability to international standards, assesses the impact of both analyser and chamber response times on measurement uncertainty and establishes direct comparability between measurements made across different facilities with a wide range of chamber designs. As a result of the validation exercise the estimated combined uncertainty associated with the overall capability across all facilities reduced from 25.7% (k = 2, 95% confidence) before the validation to 2.1% (k = 2, 95% confidence) when the validation results are applied to the facilities’ data.

COCO-2: a model to assess the economic impact of an accident

COCO-2 is a model for assessing the potential economic costs likely to arise off-site following an accident at a nuclear reactor. COCO-2 builds on work presented in the model COCO-1 developed in 1991 by considering economic effects in more detail, and by including more sources of loss. Of particular note are: the consideration of the directly affected local economy, indirect losses that stem from the directly affected businesses, losses due to changes in tourism consumption, integration with the large body of work on recovery after an accident and a more systematic approach to health costs. The work, where possible, is based on official data sources for reasons of traceability, maintenance and ease of future development. This report describes the methodology and discusses the results of an example calculation. Guidance on how the base economic data can be updated in the future is also provided.

MOLES3: implementing an ISO standards driven data catalogue

ISO19156 Observations and Measurements (O&M) provides a standardised framework for organising information about the collection of information about the environment. Here we describe the implementation of a specialisation of O&M for environmental data, the Metadata Objects for Linking Environmental Sciences (MOLES3). MOLES3 provides support for organising information about data, and for user navigation around data holdings. The implementation described here, “CEDA-MOLES”, also supports data management functions for the Centre for Environmental Data Archival, CEDA. The previous iteration of MOLES (MOLES2) saw active use over five years, being replaced by CEDA-MOLES in late 2014. During that period important lessons were learnt both about the information needed, as well as how to design and maintain the necessary information systems. In this paper we review the problems encountered in MOLES2; how and why CEDA-MOLES was developed and engineered; the migration of information holdings from MOLES2 to CEDA-MOLES; and, finally, provide an early assessment of MOLES3 (as implemented in CEDA-MOLES) and its limitations. Key drivers for the MOLES3 development included the necessity for improved data provenance, for further structured information to support ISO19115 discovery metadata export (for EU INSPIRE compliance), and to provide appropriate fixed landing pages for Digital Object Identifiers (DOIs) in the presence of evolving datasets. Key lessons learned included the importance of minimising information structure in free text fields, and the necessity to support as much agility in the information infrastructure as possible without compromising on maintainability both by those using the systems internally and externally (e.g. citing in to the information infrastructure), and those responsible for the systems themselves. The migration itself needed to ensure continuity of service and traceability of archived assets.

A rastreabilidade na exportação da carne bovina do estado do Rio Grande do Sul para a União Européia

Diante da expectativa de aumentar as exportações de carne bovina para a União Européia, entrou em análise a sistemática da rastreabilidade na carne bovina implementada pelo Brasil, em especial, pelo estado do Rio Grande do Sul. O presente trabalho de pesquisa objetivou identificar, na cadeia produtiva da carne bovina, pontos críticos para a adoção dos procedimentos ao rastreamento bovino com vistas ao provimento de carne de origem certificada ao Mercado Europeu. Foram entrevistados os produtores rurais, os empresários das indústrias exportadoras de carne bovina, agente exportador individual e as empresas certificadoras, abordando os aspectos negociais da cadeia produtiva bovina, as exigências do mercado europeu, os procedimentos adotados pelas empresas de sistemas de rastreabilidade e o posicionamento dos agentes. Os modelos teóricos utilizados para analisar os reflexos do ferramental na cadeia produtiva da carne bovina foram Filière, Supply Chain Management associados à Rastreabilidade, aplicada a produtos alimentícios. Para a análise qualitativa, aplicou-se a técnica de análise de conteúdo das respostas. As análises das questões abrangentes aplicadas aos elos, apresentadas nos resultados e discussões, permitiram identificar elementos de relevância aos atores, resultando na comparação das percepções de cada segmento em relação ao processo de rastreabilidade e certificação da carne bovina. As respostas colaboraram para a visualização do cenário sobre o impacto provocado pelo processo de rastreabilidade e certificação. Os resultados obtidos demonstraram que a rastreabilidade, até o presente momento, não contribuiu com os segmentos da cadeia produtiva bovina no que se refere aos processos negociais entre os elos na gestão, no fluxo de informações na cadeia e no aumento de preço do bovino e da carne rastreada. Existe dúvida quanto à contribuição do sistema de rastreabilidade no efeito da fluidez da informação entre os setores da cadeia bovina. Observase que a rastreabilidade pode significar uma tendência futura, demonstrando, no momento, serem indiferentes seus efeitos às variáveis identificadas como relevantes.

Competitividade no agronegócio: proposta de modelo para elaboração de estratégia de integração de cadeias para os defensivos agrícolas – o caso do café

A produção sustentável de alimentos é fundamental para suportar o crescimento populacional. Segundo estimativa da FAO, se a população atingir 9,1 bilhões de habitantes em 2050, a produção de alimentos deverá crescer 70%, e a produção nos países em desenvolvimento deverá dobrar. Ou seja, a maior parte do crescimento vem de países emergentes, onde se concentra o maior potencial de crescimento agrícola. Com o aumento populacional e o aumento da renda da população destes países emergentes, há aumento na demanda por produtos de melhor qualidade, fazendo com que o crescimento na produção de alimentos seja não somente de quantidade, mas também, de qualidade e valor. Portanto, a maior a exigência em termos de segurança do alimento, faz com que rastreabilidade e transparência com relação ao uso de tecnologias de produção se transformem em fatores que influenciam a aceitação de alimentos por parte dos consumidores do mercado doméstico e também de mercados internacionais. Neste contexto, o varejo ganha importância estratégica pela proximidade do seu negócio com o consumidor final. Ele é o primeiro elo da cadeia a receber informações sobre o cliente em termos de comportamento de compra e demandas, podendo assim, repassá-las aos outros elos da cadeia chegando até os produtores, que tem que ajustar suas práticas em geral, e principalmente, as práticas agronômicas, no que diz respeito à qualidade e a segurança do alimento. As empresas de insumos e as agroindústrias, que contribuem para uma produção agrícola sustentável terão a preferência dos produtores rurais e varejistas, que tem a missão de entregar produtos de qualidade, seguros, de forma conveniente para o consumidor final que é o elo capaz de movimentar a cadeia em uma única direção - a da agricultura sustentável. É neste contexto que as empresas de defensivos agrícolas devem desenvolver suas estratégias de negócio. Torna-se necessário ter maior “controle” sobre a cadeia, visando o uso correto de seus produtos, visando contribuir para a agricultura sustentável, ganhando participação de mercado e/ou aumentando sua rentabilidade. Para isso, algumas empresas têm desenvolvido estratégias de coordenação de cadeias, ou “food value chain”, com alguns casos exitosos. Neste trabalho, é proposta metodologia para o desenvolvimento e implementação de estratégias de “food value chain” para os defensivos agrícolas. Ao final do trabalho, conclui-se que existem ganhos importantes para a empresa que adota este tipo de estratégia; entretanto, há um aumento na complexidade da operação. Por isso, é uma escolha importante, que deve ser parte da missão da empresa.

Seasonal variations in chemical composition and stable isotopes of farmed and wild Brazilian freshwater fish

This study examined variations in the Fulton condition factor, chemical composition, and stable isotopes of carbon and nitrogen in the Brazilian freshwater fish cachara (Pseudoplatystoma fasciatum), comparing farmed and wild fish in different seasons. Values for energy, protein, moisture, and Fulton's condition factor were higher for farmed than for wild fish in the rainy season, indicating better nutritional quality; however, these differences were not observed in the dry season. Likewise, we found significant enhancement of delta(15)N in farmed fish in the rainy season but not in the dry season, whereas enhancement of delta(13)C was observed in both seasons. The combined measurement of delta(13)C and delta(15)N provided traceability under all conditions. Our findings show that stable isotope analysis of C and N can be used to trace cachara origin, and that seasonal variations need to be considered when applying chemical and isotopic authentication of fish and fish products. (C) 2010 Elsevier Ltd. All rights reserved.

The use of stable isotopes for authentication of gadoid fish species

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Uma abordagem anotativa para gerência de variabilidade em linhas de processos de software: concepção, implementação e avaliação

Nowadays, the importance of using software processes is already consolidated and is considered fundamental to the success of software development projects. Large and medium software projects demand the definition and continuous improvement of software processes in order to promote the productive development of high-quality software. Customizing and evolving existing software processes to address the variety of scenarios, technologies, culture and scale is a recurrent challenge required by the software industry. It involves the adaptation of software process models for the reality of their projects. Besides, it must also promote the reuse of past experiences in the definition and development of software processes for the new projects. The adequate management and execution of software processes can bring a better quality and productivity to the produced software systems. This work aimed to explore the use and adaptation of consolidated software product lines techniques to promote the management of the variabilities of software process families. In order to achieve this aim: (i) a systematic literature review is conducted to identify and characterize variability management approaches for software processes; (ii) an annotative approach for the variability management of software process lines is proposed and developed; and finally (iii) empirical studies and a controlled experiment assess and compare the proposed annotative approach against a compositional one. One study a comparative qualitative study analyzed the annotative and compositional approaches from different perspectives, such as: modularity, traceability, error detection, granularity, uniformity, adoption, and systematic variability management. Another study a comparative quantitative study has considered internal attributes of the specification of software process lines, such as modularity, size and complexity. Finally, the last study a controlled experiment evaluated the effort to use and the understandability of the investigated approaches when modeling and evolving specifications of software process lines. The studies bring evidences of several benefits of the annotative approach, and the potential of integration with the compositional approach, to assist the variability management of software process lines

Model-Driven requirements engineering process aided by ontologies and natural controlled languages

Researches in Requirements Engineering have been growing in the latest few years. Researchers are concerned with a set of open issues such as: communication between several user profiles involved in software engineering; scope definition; volatility and traceability issues. To cope with these issues a set of works are concentrated in (i) defining processes to collect client s specifications in order to solve scope issues; (ii) defining models to represent requirements to address communication and traceability issues; and (iii) working on mechanisms and processes to be applied to requirements modeling in order to facilitate requirements evolution and maintenance, addressing volatility and traceability issues. We propose an iterative Model-Driven process to solve these issues, based on a double layered CIM to communicate requirements related knowledge to a wider amount of stakeholders. We also present a tool to help requirements engineer through the RE process. Finally we present a case study to illustrate the process and tool s benefits and usage