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PurposeThe authors tested whether the effect of alcohol consumption during work hours on workplace aggression was influenced by the combined impact of individuals' job insecurity and love of the job.Design/methodology/approachThe authors employed a time-lagged design whereby 325 working adults (166 men; 159 women) provided data at two time points. Respondents were asked to report their typical alcohol consumption volume in a workday, the extent to which they loved their job, and how insecure they felt about their job. Approximately one week later, respondents completed a workplace aggression measure.FindingsA substantial positive relationship was observed between the volume of alcohol consumed during work hours and the likelihood of aggressive acts. Beyond this preliminary finding, the authors found evidence for a three-way interaction. It appears that the fear of losing a beloved job creates a condition under which the drinking-aggression relationship is particularly strong.Practical implicationsBesides formal rules deterring alcohol consumption during work hours, managers may look to implement measures that nurture a sense of job love and job security, which can be beneficial in preventing aggression resulting from drinking in the workplace.Originality/valueBy examining alcohol consumption during a typical workday, the study captures the contextual and proximal effects of drinking, which are often not observed in workplace-focused studies that operationalize alcohol consumption in general terms. The findings also suggest that if employees who drink during work hours are afraid of losing the job they love, a particularly stressful situation is created in which workplace aggression is more likely to happen.

Abstract. Gender stereotypes that associate science and technology to men more than women create subtle barriers to women's advancement in these fields. But how do stereotypic associations, when internalized by women, relate to their own sense of fit and organizational commitment? Our research is the first to demonstrate that, among working engineers, women's own gender stereotypic implicit associations predict lower organizational commitment. In a sample of 263 engineers (145 women), women (but not men) who implicitly associated engineering with men more than women were less committed to their organization. This relationship was mediated by lower self-efficacy and value fit, and not explained by other personality, demographic, or organizational factors. We discuss how internalized cultural biases can constrain women's experiences in STEM.

In September and October 2015, widespread forest and peatland fires burned over large parts of maritime southeast Asia,most notably Indonesia,releasing large amounts of terrestrially-stored carbon into the atmosphere, primarily in the form of CO2, CO and CH4. With a mean emission rate of 11.3 Tg CO2 per day during Sept-Oct 2015, emissions from these fires exceeded the fossil fuel CO2 release rate of the European Union (EU28) (8.9 Tg CO2 per day) . Although seasonal fires are a frequent occurrence in the human modified landscapes found in Indonesia,the extent of the 2015 fires was greatly inflated by an extended drought period associated with a strong El Niño. We estimate carbon emissions from the 2015 fires to be the largest seen in maritime southeast Asia since those associated with the record breaking El Niño of 1997. Compared to that event, a much better constrained regional total carbon emission estimate can be made for the 2015 fires through the use of present-day satellite observations of the fire's radiative power output and atmospheric CO concentrations, processed using the modelling and assimilation framework of the Copernicus Atmosphere Monitoring Service (CAMS) and combined with unique in situ smoke measurements made on Kalimantan.

In September and October 2015 widespread forest and peatland fires burned over large parts of maritime southeast Asia, most notably Indonesia, releasing large amounts of terrestrially-stored carbon into the atmosphere, primarily in the form of CO2, CO and CH4. With a mean emission rate of 11.3 Tg CO2 per day during Sept-Oct 2015, emissions from these fires exceeded the fossil fuel CO2 release rate of the European Union (EU28) (8.9 Tg CO2 per day). Although seasonal fires are a frequent occurrence in the human modified landscapes found in Indonesia, the extent of the 2015 fires was greatly inflated by an extended drought period associated with a strong El Niño. We estimate carbon emissions from the 2015 fires to be the largest seen in maritime southeast Asia since those associated with the record breaking El Niño of 1997. Compared to that event, a much better constrained regional total carbon emission estimate can be made for the 2015 fires through the use of present-day satellite observations of the fire's radiative power output and atmospheric CO concentrations, processed using the modelling and assimilation framework of the Copernicus Atmosphere Monitoring Service (CAMS) and combined with unique in situ smoke measurements made on Kalimantan.

Carbon monoxide (CO) is a key atmospheric compound that can be remotely sensed by satellite on the global scale. Fifteen years of continuous observations are now available from the MOPITT/Terra mission (2000 to present). Another 15 and more years of observations will be provided by the IASI/MetOp instrument series (2007-2023 >). In order to study long-term variability and trends, a homogeneous record is required, which is not straightforward as the retrieved quantities are instrument and processing dependent. The present study aims at evaluating the consistency between the CO products derived from the MOPITT and IASI missions, both for total columns and vertical profiles, during a 6-year overlap period (2008-2013). The analysis is performed by first comparing the available 2013 versions of the retrieval algorithms (v5T for MOPITT and v20100815 for IASI), and second using a dedicated reprocessing of MOPITT CO profiles and columns using the same a priori information as the IASI product. MOPITT total columns are generally slightly higher over land (bias ranging from 0 to 13 %) than IASI data. When IASI and MOPITT data are retrieved with the same a priori constraints, correlation coefficients are slightly improved. Large discrepancies (total column bias over 15 %) observed in the Northern Hemisphere during the winter months are reduced by a factor of 2 to 2.5. The detailed analysis of retrieved vertical profiles compared with collocated aircraft data from the MOZAIC-IAGOS network, illustrates the advantages and disadvantages of a constant vs. a variable a priori. On one hand, MOPITT agrees better with the aircraft profiles for observations with persisting high levels of CO throughout the year due to pollution or seasonal fire activity (because the climatology-based a priori is supposed to be closer to the real atmospheric state). On the other hand, IASI performs better when unexpected events leading to high levels of CO occur, due to a larger variability associated with the a priori. ; SCOPUS: ar.j ...