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In operational tropical cyclone (TC) forecasting practice, there are usually many TC track guidances available from various official sources. When they do not converge, the guidances need to be ensembled by systematic approaches to formulate the best possible track as an official local TC track forecasting.

The main approach of the research is focused on finding an atmospheric environment favourable for TC survival (genesis) with the help of commonly accepted knowledge in atmospheric physics that reveals mechanism driving evolution and change of synoptic patterns in the atmosphere, using routinely available observational data, i.e. identification of TCF/TCR areas. The techniques developed are then applied to ensemble the TC track guidances available operationally to formulate an official TC track forecasting.

The results show that TC movement is very dependent on the atmospheric environment surrounding a TC. Whether the environment is favourable (TCF) or resistant (TCR) to survival of a TC system is a vital factor to determine where the TC moving. A systematic approach to the identification of the TCR/TCF areas is a key technique to ensemble available TC track guidances to formulate an official TC track forecasting.

In operational TC forecasting, TC track forecasting is the most important and difficult issue. The results indicate that the systematic approach to TC track forecasting has philosophical justification, solid scientific ground, sound logic and practical viability, and thus, make TC track forecasting easy and effective.

Peer review has been with humans for a long time. Its effective inception dates back to World War II resulting information overload, which imposed a quantitative and qualitative screening of publications. Peer review was beset by a number of accusations and critics largely from the biases and subjective aspects of the process including the secrecy in which the processes became standard. Advent of the Internet in the early 1990s provided a manner to open peer review up to make it more transparent, less iniquitous, and more objective. This chapter investigates whether this openness led to a more objective manner of judging scientific publications. Three sites are examined: Electronic Transactions on Artificial Intelligence (ETAI), Atmospheric Chemistry and Physics (ACP), and Faculty of 1000 (F1000). These sites practice open peer review wherein reviewers and authors and their reviews and rebuttals are available for all to see. The chapter examines the different steps taken to allow reviewers and authors to interact and how this allows for the entire community to participate. This new prepublication reviewing of papers has to some extent, alleviated the biases that were previously preponderant and, furthermore, seems to give positive results and feedback. Although recent, experiences seem to have elicited scientists’ acceptance because openness allows for a more objective and fair judgment of research and scholarship. Yet, it will undoubtedly lead to new questions which are examined in this chapter.

This paper seeks to investigate the reading behaviour of scientists from an intradisciplinary perspective.

Different aspects of reading behaviour were studied including the amount of reading, the sources of reading, and the impact of factors such as age, academic status, academic activities and methods used for identifying articles on reading behaviour. The data were collected through a survey of 114 physicists and astronomers (faculty members and PhD students) at University College London. A total of 56 interviews were also conducted with PhD students and faculty members.

The results revealed intradisciplinary differences within physics and astronomy in terms of reading behaviour. The study showed that recently published articles account for a large proportion of the readings. Age and academic status have an influence on the age of papers read. The amount of reading is influenced by the type of activities academics conduct, meaning those who spend more time teaching read fewer papers and those who spend more time doing research read more papers.

The paper is the first to look at intradisciplinary differences within a single discipline and reveals the impact of some task‐related and information‐seeking factors on reading behaviour.

Climate change and variability are both a developmental and an environmental issue. Adaptation to climate change and variability has gained a prominent place on global and local policy agendas, evolving from mainly climate risks impacts and vulnerability assessments to mainly adaptation action, imposing new defies to higher education (HE). The purpose of this paper is to introduce the Climate Vulnerability, Impact, and Adaptation (VIA) Network (CliVIA-Net), a South American university-based coalition aimed at achieving a science for/of adaptation.

CliVIA-Net is a collaborative effort by academic groups from across the spectrum of the natural, social and health sciences focused on improving climate VIA on education, research and practice. In consonance with international literature and practices, the network shifted from a discipline-oriented approach to an interdisciplinary and Earth System Science (ESS)-oriented one. It seeks to advance fundamental understanding and participatory practice-oriented research and to develop a problem orientation question/solving answering methodology. A set of cases studies illustrates how CliVIA-Net faces adaptation and sustainability challenges in the twenty-first century.

Focusing on interdisciplinary graduate education, practice-oriented research and problem orientation practice on climate threats which are already threatening the environment, population’s well-being and sustainability, allows for the co-production of knowledge and solutions, as well stakeholders’ buy-in and commitment.

CliVIA-Net draws upon the results of evolving interdisciplinary approaches on global change and VIA education, the research partnership with stakeholders and decision-makers to develop environmental and health outcomes, e.g. vulnerability indicators and scenario planning.

To propose improvements to the identification of authors' names in digital repositories.

Analysis of current name authorities in digital resources, particularly in digital repositories, and analysis of some features of existing repository applications.

This paper finds that the variations of authors' names have negatively affected the retrieval capability of digital repositories. Two possible solutions include using composite identifiers that combine author name, publication date, and author affiliation, and also asking authors to input the variants of their name, if any, at the time of depositing articles.

This is the first time that the approach of authors self‐depositing their name variations is proposed. This approach will be able to reduce confusions in name identification.

The purpose of this paper is to assess the extent of climate change likely to be manifested in the MENA region using statistical tools as well as outputs from physics‐based General Circulation Models (GCMs).

Atmospheric temperature and precipitation primarily capture climate change features and are considered the drivers of other manifestations of climate change such as rises in sea‐level, tropical cyclone intensities, severe floods, prolonged droughts, and retreating ice. Data on atmospheric temperature and precipitation have been statistically analysed for trend, distribution and variability in this study. Long‐range prediction is then made using time series analysis. Long‐range projections have also been made by many investigators using physics‐based GCMs and the Fourth Assessment Report of IPCC provides a summary. IPCC projections are not indisputable because of some inherent limitations of GCMs. A comparative study is made between statistical predictions and IPCC projections, as well as forecasts from some GCMs specifically applied to the region, to develop a more reliable forecast scenario. Water resources projects are quite vulnerable to changes in atmospheric temperature and precipitation amounts. The various aspects of planning, design and management of water resources projects which are likely to be influenced by climate change are discussed.

There is considerable variability in atmospheric temperature and precipitation in recent observations but if the variability is filtered out and the underlying trend extrapolated it is found that there is in general an agreement between IPCC projections and statistical predictions. For rise in atmospheric temperature projections made from many GCMs applied to the region, as well as projections summarised in the Fourth Assessment Report of IPCC, appear to be good estimates to be included in design considerations. For precipitation, statistical predictions are perhaps a better choice because GCM projections are less reliable with precipitation since associated meteorological processes occur at a much smaller scale than the grid size of a GCM. For low‐lying coastal regions sea‐level rise and more frequent extreme climatic events such as tropical cyclones add to the dimensionality of design considerations especially for infrastructure design.

This paper presents a comparative study of possible climate change in the long‐term between physics‐based model projections and statistical predictions. This should provide greater insight into climate change that is expected in MENA and reduce uncertainty, thereby instilling greater confidence in water resources planners and practitioners to incorporate climate change aspects into decision making. This research is believed to be particularly helpful because of scant research work done on this part of the globe on climate change.

This study aims to analyze the perceptions of smallholder farmers on climate change and events and further explores climate change adaptation strategies and associated challenges. The findings provide useful information for enhancing the adaptive capacity of smallholder farmers to adjust to climate-related hazards and improve their resilience and disaster preparedness in northern Ghana.

This study uses a multistage sampling procedure and sample size of 150 farmers, the Binary Probit Model (BPM), to identify and examine the determinants of climate change adaptation strategies adopted by smallholder farmers. Also, the constraints of adaptation were analyzed using Kendall’s coefficient of concordance.

The results from the BPM and statistics of Kendall’s coefficient revealed that the farm risk level, ability to adapt, farmer’s income, age, farming experience, climate change awareness and extension visits were factors that significantly influenced the adaptation strategies of smallholder farmers (in order of importance). The majority (60%) of the farmers ranked farm risk level as the major constraint to adopting climate change strategies.

The findings of this study enhance understanding on access to relevant and timely climate change adaptation information such as an early warning to farmers during the start of the farming/rainy season to support their adaptive responses to climate change.

The study aims to examines two aspects of information seeking behaviour of physicists and astronomers including methods applied for keeping up‐to‐date and methods used for finding articles. The relationship between academic status and research field of users with their information seeking behaviour was investigated.

Data were gathered using a questionnaire survey of PhD students and staff of the Department of Physics and Astronomy at University College London; 114 people (47.1 per cent response rate) participated in the survey.

The study reveals differences among subfields of physics and astronomy in terms of information‐seeking behaviour, highlights the need for and the value of looking at narrower subject communities within disciplines for a deeper understanding of the information behaviour of scientists.

The study is the first to deeply investigate intradisciplinary dissimilarities of information‐seeking behaviour of scientists in a discipline. It is also an up‐to‐date account of information seeking behaviour of physicists and astronomers.

In this paper, the relationship between meteorological conditions and diseases is investigated. The relative fitting errors for nine kinds of diseases are within the limit of 0.048‐0.228. These results are the bases of researches of mechanism and a component of the numerical model which has been used in the prediction of diseases.

Incineration strengths of hazardous (2.8×10⁸μg/s) and nonhazardous (6.31×10⁸μg/s) materials were found from the quantities to be incinerated, chemical formulas, and the incineration time. The smoke stack geometry, exhaust dynamics, and different atmospheric stability conditions were used in the Gaussian model to predict the maximum concentration distances of 0.5 to about 6 km at the ground level in the downwind direction. However, trailing edges of some of exhaust distributions were found to extend beyond 120 km under some atmospheric stability conditions. The counties of Jefferson, Lonoke, Pulaski, Dallas, Cleveland, Calhoun, and Grant in the state of Arkansas are more likely to be affected than others. The possible major products in the hazardous incineration exhaust are chlorinated compounds. The results of this study are important to know the areas that fall under comparatively higher concentrations of incineration exhaust for further observations because of its inherent impact upon living beings, crop production, and environmental conditions.