Variability in the air-sea interaction patterns and timescales within the south-eastern Bay of Biscay, as observed by HF radar data

Two high-frequency (HF) radar stations were installed on the coast of the south-eastern Bay of Biscay in 2009, providing high spatial and temporal resolution and large spatial coverage of currents in the area for the first time. This has made it possible to quantitatively assess the air-sea interaction patterns and timescales for the period 2009-2010. The analysis was conducted using the Barnett-Preisendorfer approach to canonical correlation analysis (CCA) of reanalysis surface winds and HF radar-derived surface currents. The CCA yields two canonical patterns: the first wind-current interaction pattern corresponds to the classical Ekman drift at the sea surface, whilst the second describes an anticyclonic/cyclonic surface circulation. The results obtained demonstrate that local winds play an important role in driving the upper water circulation. The wind-current interaction timescales are mainly related to diurnal breezes and synoptic variability. In particular, the breezes force diurnal currents in waters of the continental shelf and slope of the south-eastern Bay. It is concluded that the breezes may force diurnal currents over considerably wider areas than that covered by the HF radar, considering that the northern and southern continental shelves of the Bay exhibit stronger diurnal than annual wind amplitudes.

ICGE: an R package for detecting relevant clusters and atypical units in gene expression

Background: Gene expression technologies have opened up new ways to diagnose and treat cancer and other diseases. Clustering algorithms are a useful approach with which to analyze genome expression data. They attempt to partition the genes into groups exhibiting similar patterns of variation in expression level. An important problem associated with gene classification is to discern whether the clustering process can find a relevant partition as well as the identification of new genes classes. There are two key aspects to classification: the estimation of the number of clusters, and the decision as to whether a new unit (gene, tumor sample ... ) belongs to one of these previously identified clusters or to a new group. Results: ICGE is a user-friendly R package which provides many functions related to this problem: identify the number of clusters using mixed variables, usually found by applied biomedical researchers; detect whether the data have a cluster structure; identify whether a new unit belongs to one of the pre-identified clusters or to a novel group, and classify new units into the corresponding cluster. The functions in the ICGE package are accompanied by help files and easy examples to facilitate its use. Conclusions: We demonstrate the utility of ICGE by analyzing simulated and real data sets. The results show that ICGE could be very useful to a broad research community.

Babelium Project: Android gailuetarako Adobe AIR prototipoa

Android gailu eramangarrietan erabiltzeko Babelium Project-en prototipoa.

The Uniform World Model: A Methodology for Predicting the Health Impacts of Air Pollution

47 p.

Local air pollution and global climate change taxes: a distributional analysis

25 p.

Measurement of polycyclic aromatic hydrocarbons in ambient air by fluorescence spectroscopic techniques

250 p. + anexos

Air Quality and Europeans' Subjective Well-being

[EN]Happiness economics deals with self-reported subjective well-being, or life satisfaction, and its relationship to a wide variety of other variables. On the study of these other factors, this line of research has helped demonstrate that higher levels of environmental quality increase people’s subjective well-being. This paper focuses on analyzing the relationship between subjective well-being and air quality. On the one hand, the life satisfaction approach to environmental valuation is cautiously described, and on the other hand, the method is implemented in an empirical analysis that seeks to assess how an increase in the level of air pollution at a regional level affects individual-level subjective well-being in Europe. We use a dataset that merges the third wave of the European Social Survey (ESS) with a dataset that includes regional air pollution (including CO, PM10, NO2, SO2 and Benzene) and other regional variables. We find a robust negative impact for CO, a positive impact for SO2, and no conclusive evidence of any effect on subjective well-being for the remaining three pollutants.

Indoor air treatment by coupling biofiltration and adsortion

225 p.