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Mechanisms behind the phenomenon of Arctic amplification are widely discussed. To contribute to this debate, the (AC)3 project was established in 2016 (www.ac3-tr.de/). It comprises modeling and data analysis efforts as well as observational elements. The project has assembled a wealth of ground-based, airborne, shipborne, and satellite data of physical, chemical, and meteorological properties of the Arctic atmosphere, cryosphere, and upper ocean that are available for the Arctic climate research community. Short-term changes and indications of long-term trends in Arctic climate parameters have been detected using existing and new data. For example, a distinct atmospheric moistening, an increase of regional storm activities, an amplified winter warming in the Svalbard and North Pole regions, and a decrease of sea ice thickness in the Fram Strait and of snow depth on sea ice have been identified. A positive trend of tropospheric bromine monoxide (BrO) column densities during polar spring was verified. Local marine/biogenic sources for cloud condensation nuclei and ice nucleating particles were found. Atmospheric–ocean and radiative transfer models were advanced by applying new parameterizations of surface albedo, cloud droplet activation, convective plumes and related processes over leads, and turbulent transfer coefficients for stable surface layers. Four modes of the surface radiative energy budget were explored and reproduced by simulations. To advance the future synthesis of the results, cross-cutting activities are being developed aiming to answer key questions in four focus areas: lapse rate feedback, surface processes, Arctic mixed-phase clouds, and airmass transport and transformation.

This study presents results from the European Centre for Medium-RangeWeather Forecasts (ECMWF) carbon dioxide (CO2) analysis system where the atmospheric CO2 is controlled through the assimilation of columnaveraged dry-air mole fractions of CO2 (XCO2) from the Greenhouse gases Observing Satellite (GOSAT). The analysis is compared to a free-run simulation (without assimilation of XCO2), and they are both evaluated against XCO2 data from the Total Carbon Column Observing Network (TCCON). We show that the assimilation of the GOSAT XCO2 product from the Bremen Optimal Estimation Differential Optical Absorption Spectroscopy (BESD) algorithm during the year 2013 provides XCO2 fields with an improved mean absolute error of 0.6 parts per million (ppm) and an improved station-to-station bias deviation of 0.7 ppm compared to the free run (1.1 and 1.4 ppm, respectively) and an improved estimated precision of 1 ppm compared to the GOSAT BESD data (3.3 ppm). We also show that the analysis has skill for synoptic situations in the vicinity of frontal systems, where the GOSAT retrievals are sparse due to cloud contamination. We finally computed the 10-day forecast from each analysis at 00:00 UTC, and we demonstrate that the CO2 forecast shows synoptic skill for the largest-scale weather patterns (of the order of 1000 km) even up to day 5 compared to its own analysis.

Methane (CH4) is the second most important anthropogenic greenhouse gas, whose atmospheric concentration is modulated by human-induced activities, and it has a larger global warming potential than carbon dioxide (CO2). Because of its short atmospheric lifetime relative to that of CO2, the reduction of the atmospheric abundance of CH4 is an attractive target for short-term climate mitigation strategies. However, reducing the atmospheric CH4 concentration requires a reduction of its emissions and, therefore, knowledge of its sources. For this reason, the CO2 and Methane (CoMet) campaign in May and June 2018 assessed emissions of one of the largest CH4 emission hot spots in Europe, the Upper Silesian Coal Basin (USCB) in southern Poland, using top-down approaches and inventory data. In this study, we will focus on CH4 column anomalies retrieved from spectral radiance observations, which were acquired by the 1D nadir-looking passive remote sensing Methane Airborne MAPper (MAMAP) instrument, using the weighting-function-modified differential optical absorption spectroscopy (WFM-DOAS) method. The column anomalies, combined with wind lidar measurements, are inverted to cross-sectional fluxes using a mass balance approach. With the help of these fluxes, reported emissions of small clusters of coal mine ventilation shafts are then assessed. The MAMAP CH4 column observations enable an accurate assignment of observed fluxes to small clusters of ventilation shafts. CH4 fluxes are estimated for four clusters with a total of 23 ventilation shafts, which are responsible for about 40 % of the total CH4 mining emissions in the target area. The observations were made during several overflights on different days. The final average CH4 fluxes for the single clusters (or sub-clusters) range from about 1 to 9 t CH4 h−1 at the time of the campaign. The fluxes observed at one cluster during different overflights vary by as much as 50 % of the average value. Associated errors (1σ) are usually between 15 % and 59 % of the average flux, depending mainly on the prevailing wind conditions, the number of flight tracks, and the magnitude of the flux itself. Comparison to known hourly emissions, where available, shows good agreement within the uncertainties. If only emissions reported annually are available for comparison with the observations, caution is advised due to possible fluctuations in emissions during a year or even within hours. To measure emissions even more precisely and to break them down further for allocation to individual shafts in a complex source region such as the USCB, imaging remote sensing instruments are recommended.

Technological innovation in the form of the introduction of a formal information system represents change to the people within the organization. This paper (presented to California Educational Administrators participating in the Executive Information Systems program of Operation PEP--Prepare Educational Planners) is directed to those managers who initiate the introduction of a new system and are responsible for the successful assimilation of it into their organization. Such a change presents problems, which if not approached correctly, can negate any anticipated benefits. Problems of organization involve the top management, middle managers and the bottom of the organizational structure. As institutors of a new information system, the top-level managers must be certain that those below them feel and derive benefits as active participants in the system design, development and use. Problems of change and growth encompass: (1) changes in information flow and availability, (2) personnel growth, (3) applications, (4) cost, and (5) new employees. The problems resulting from the consideration of standards versus adaptability when contemplating a new information system must be settled by top management in light of the particular needs of their organization so that it will be flexible and workable. (SG)

This paper was prepared for distribution to the California Educational Administrators participating in the "Executive Information Systems" Unit of Instruction as part of the instructional program of Operation PEP (Prepare Educational Planners). The purpose of the course was to introduce some basic concepts of information systems technology to administrators to provide them with a broader perspective on information systems as pertaining to organizational and educational needs and to acquaint them with some of the problems associated with computer-based information systems. (AB)

Rebecca Wolfgang,1 Luke Wakely,1 Tony Smith,2 Julie Burrows,1 Alexandra Little,1 Leanne J Brown11Tamworth Education Centre, University of Newcastle Department of Rural Health, Tamworth, NSW 2340, Australia; 2Manning Education Centre, University of Newcastle Department of Rural Health, Taree, NSW 2430, AustraliaCorrespondence: Rebecca WolfgangTamworth Education Centre, University of Newcastle Department of Rural Health, 114-148 Johnston Street, Tamworth, NSW 2340, AustraliaTel +61 26 755 3515Fax +61 26 761 2355Email rebecca.wolfgang@newcastle.edu.auIntroduction: Pre-vocational placement experiences are known to considerably influence the career preferences of health graduates and are a key factor in growing the rural allied health workforce. This paper explores the rural placement experiences and future work intentions of students who attended a placement with the University of Newcastle Department of Rural Health.Methods: Part of a larger longitudinal mixed methods study of students’ placement experiences and subsequent career choices, this study explored students’ placement evaluations responses. Following each placement, students were invited to complete an online survey which asked about their placement experiences and future work intentions. Counts and proportion tests were performed for frequencies of quantitative variables. Wilcoxon signed rank tests were conducted on the paired pre- and post-rural intent scores to determine any perceived differences in intent before and after placement for students both with and without a rural background. Qualitative data from short answer questions were analyzed thematically guided by qualitative content analysis. Data were comparatively analyzed for students of a rural or urban background.Results: Four hundred and forty end of placement surveys were completed by 275 students (response rate 69.8%). There was a positive shift in intention to work rurally for students of both rural and urban background post-placement, but this was only statistically significant in the group from an urban background (p≤0.001). From the qualitative analysis three themes emerged: immersed rural supported placement experience, immersed interaction in rural life with other students, and immersed interaction in the rural community. Students from both rural and urban backgrounds indicated similar benefits and challenges.Conclusion: While the positive impact of rural placement experiences and rural background on future rural practice is well known, this study highlights the importance of positive supported placement experience for students from both rural and urban backgrounds.Keywords: rural health services, student placements, mixed method, career intentions, Australia

Methane is an important atmospheric greenhouse gas and an adequate understanding of its emission sources is needed for climate change assessments, predictions, and the development and verification of emission mitigation strategies. Satellite retrievals of near-surface-sensitive column-averaged dry-air mole fractions of atmospheric methane, i.e. XCH4, can be used to quantify methane emissions. Maps of time-averaged satellite-derived XCH4 show regionally elevated methane over several methane source regions. In order to obtain methane emissions of these source regions we use a simple and fast data-driven method to estimate annual methane emissions and corresponding 1σ uncertainties directly from maps of annually averaged satellite XCH4. From theoretical considerations we expect that our method tends to underestimate emissions. When applying our method to high-resolution atmospheric methane simulations, we typically find agreement within the uncertainty range of our method (often 100 %) but also find that our method tends to underestimate emissions by typically about 40 %. To what extent these findings are model dependent needs to be assessed. We apply our method to an ensemble of satellite XCH4 data products consisting of two products from SCIAMACHY/ENVISAT and two products from TANSO-FTS/GOSAT covering the time period 2003–2014. We obtain annual emissions of four source areas: Four Corners in the south-western USA, the southern part of Central Valley, California, Azerbaijan, and Turkmenistan. We find that our estimated emissions are in good agreement with independently derived estimates for Four Corners and Azerbaijan. For the Central Valley and Turkmenistan our estimated annual emissions are higher compared to the EDGAR v4.2 anthropogenic emission inventory. For Turkmenistan we find on average about 50 % higher emissions with our annual emission uncertainty estimates overlapping with the EDGAR emissions. For the region around Bakersfield in the Central Valley we find a factor of 5–8 higher emissions compared to EDGAR, albeit with large uncertainty. Major methane emission sources in this region are oil/gas and livestock. Our findings corroborate recently published studies based on aircraft and satellite measurements and new bottom-up estimates reporting significantly underestimated methane emissions of oil/gas and/or livestock in this area in EDGAR.

The phylum Platyhelminthes is composed of both parasitic and non-parasitic flatworms. While the parasitic species have drawn attention for their wide effects on human and livestock heath, free-living flatworms, such as freshwater planarians, have become molecular models of regeneration and stem cell biology in the laboratory. However, one aspect of planarian biology that remains understudied is the relationship between host and any endemic viruses. Here we used searches of multiple transcriptomes from Schmidtea mediterranea asexual strain CIW4 and detected a novel, double-stranded RNA (dsRNA) virus, named S. mediterranea tricladivirus (SmedTV), which represents a distinct taxon (proposed new genus) within a larger taxon of monosegmented dsRNA viruses of diverse hosts. Experimental evidence for SmedTV in S. mediterranea CIW4 was obtained through whole-mount in situ hybridization (WISH). SmedTV “expression” (detected by both sense and anti-sense probes) was discrete yet variable from worm to worm and cell type to cell type, suggesting a persistent infection. Single-cell RNA sequencing (scRNAseq) further supported that SmedTV expression was low in stem cells, but substantially higher in multiple, though not all, differentiated tissues, with notable neural enrichment.Interestingly, knockdown of SmedTV by RNA-interference resulted in a “cure” of SmedTV after 10 RNAi doses, and expression remained undetectable by WISH even after 90 days. Due to being able to evade host defenses and the endogenous RNAi pathway, we believe SmedTV represents a novel animal model to study host-virus evolution.Statement of significancePlanarians are freshwater flatworms and emerging models to study the molecular mechanisms of adult stem cell and regenerative biology. However, they also live in aquatic environments with high amounts of viruses, bacteria, fungi, and protist pathogens. How the planarian immune system copes with all of these is largely unknown and only 2 types of virus have been described. Here we find a novel dsRNA virus, endemic to multiple types of flatworms. We show that it is a persistent infection, and likely transmits from stem cell to differentiated cell in the planarian, while avoiding endogenous RNA-interference machinery and mechanisms used to suppress viruses. We present this as a new model to study host-virus defense and evolution.