Suchergebnisse

Ammonia (NH3) is a major source of nitrates in the atmosphere and a major source of fine particulate matter. As such, there have been increasing efforts to measure the atmospheric abundance of NH3 and its spatial and temporal variability. In this study, long-Term measurements of NH3 derived from multiscale datasets are examined. These NH3 datasets include 16 years of total column measurements using Fourier transform infrared (FTIR) spectroscopy, 3 years of surface in situ measurements, and 10 years of total column measurements from the Infrared Atmospheric Sounding Interferometer (IASI). The datasets were used to quantify NH3 temporal variability over Toronto, Canada. The multiscale datasets were also compared to assess the representativeness of the FTIR measurements. All three time series showed positive trends in NH3 over Toronto: 3.34-0.89 %/yr from 2002 to 2018 in the FTIR columns, 8.88-5.08 %/yr from 2013 to 2017 in the surface in situ data, and 8.38-1.54 %/yr from 2008 to 2018 in the IASI columns. To assess the representative scale of the FTIR NH3 columns, correlations between the datasets were examined. The best correlation between FTIR and IASI was obtained with coincidence criteria of-25 km and-20 min, with r D 0:73 and a slope of 1.14-0.06. Additionally, FTIR column and in situ measurements were standardized and correlated. Comparison of 24 d averages and monthly averages resulted in correlation coefficients of r D 0:72 and r D 0:75, respectively, although correlation without averaging to reduce high-frequency variability led to a poorer correlation, with r D 0:39. The GEOS-Chem model, run at 22.5 resolution, was compared to FTIR and IASI to assess model performance and investigate the correlation of observational data and model output, both with local column measurements (FTIR) and measurements on a regional scale (IASI). Comparisons on a regional scale (a domain spanning 35 to 53-N and 93.75 to 63.75-W) resulted in r D 0:57 and thus a coefficient of determination, which is indicative of the ...

Genetic testing can provide useful information related to a person's health history. Adoptees who lack access to family health history due to inherent separation from their birth family are among those likely to benefit from this. Understanding their attitudes, including their hopes and concerns, will allow for better informed and more appropriate applications of genetic testing within this population and will help guide genetic counselling for adult adoptees. This qualitative study, involving four focus groups totalling 17 participants, examined adult adoptees' attitudes that might influence decision-making around genetic testing. Using the NVivo 10 data analysis method, transcripts were content and thematically coded for: motivations for positive interest in genetic testing/genome sequencing; reasons for lack of interest or uncertainty about genetic testing/genome sequencing; and mixed feelings or overlapping positive and negative comments by the same individual in the same train of thought. Other studies have examined adoptive parents' attitudes towards genetic testing, but this is the first to give voice to adoptees themselves. The results indicate that while adult adoptees' attitudes about genetic testing appear to be similar to that of other laypeople, they reported unique concerns and perspectives regarding its potential use and their motivations and deterrents for pursuing it.

An increase of 0.31 ± 0.03 % year−1 of atmospheric methane is reported using 10 years of solar observations performed at 10 ground-based stations since 2005. These trend agree with a GEOS-Chem-tagged simulation that accounts for the contribution of each emission source and one sink in the total methane. The GEOS-Chem simulation shows that anthropogenic emissions from coal mining and gas and oil transport and exploration have played a major role in the increase methane since 2005. ; W. Bader has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 704951, and from the University of Toronto through a Faculty of Arts & Science Postdoctoral Fellowship Award. E. Mahieu is a Research Associate with the F.R.S.–FNRS. The F.R.S.–FNRS further supported this work under Grant no. J.0093.15 and the Fédération Wallonie Bruxelles contributed to supporting observational activities. The Centre for Atmospheric Chemistry at the University of Wollongong involvement in this work is funded by Australian Research Council projects DP1601021598 and LE0668470.

The Thermal And Near infrared Sensor for carbon Observation – Fourier Transform Spectrometer (TANSO-FTS) on the Japanese Greenhouse gases Observing SATellite (GOSAT) has been returning data since April 2009. The version 9 (v9) Atmospheric Carbon Observations from Space (ACOS) Level 2 Full Physics (L2FP) retrieval algorithm (Kiel et al., 2019) was used to derive estimates of carbon dioxide (CO2) dry air mole fraction (XCO2) from the TANSO-FTS measurements collected over its first 11 years of operation. The bias correction and quality filtering of the L2FP XCO2 product were evaluated using estimates derived from the Total Carbon Column Observing Network (TCCON) as well as values simulated from a suite of global atmospheric inversion systems (models) which do not assimilate satellite-derived CO2. In addition, the v9 ACOS GOSAT XCO2 results were compared with collocated XCO2 estimates derived from NASA's Orbiting Carbon Observatory-2 (OCO-2), using the version 10 (v10) ACOS L2FP algorithm. ; The TCCON Nicosia site has received additional support from the European Union's Horizon 2020 research and innovation program under grant agreement no. 856612 and the Cyprus Government, and by the University of Bremen.