22 research outputs found
Status Report and Beam Time Request for Experiment AD-4
Summary of current status and plans for October 200
Recommended from our members
A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign
The Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign was carried out north-west of Svalbard (Norway) between 23 May and 6 June 2017. The objective of ACLOUD was to study Arctic boundary layer and mid-level clouds and their role in Arctic amplification. Two research aircraft (Polar 5 and 6) jointly performed 22 research flights over the transition zone between open ocean and closed sea ice. Both aircraft were equipped with identical instrumentation for measurements of basic meteorological parameters, as well as for turbulent and radiative energy fluxes. In addition, on Polar 5 active and passive remote sensing instruments were installed, while Polar 6 operated in situ instruments to characterize cloud and aerosol particles as well as trace gases. A detailed overview of the specifications, data processing, and data quality is provided here. It is shown that the scientific analysis of the ACLOUD data benefits from the coordinated operation of both aircraft. By combining the cloud remote sensing techniques operated on Polar 5, the synergy of multi-instrument cloud retrieval is illustrated. The remote sensing methods were validated using truly collocated in situ and remote sensing observations. The data of identical instruments operated on both aircraft were merged to extend the spatial coverage of mean atmospheric quantities and turbulent and radiative flux measurement. Therefore, the data set of the ACLOUD campaign provides comprehensive in situ and remote sensing observations characterizing the cloudy Arctic atmosphere. All processed, calibrated, and validated data are published in the World Data Center PANGAEA as instrument-separated data subsets (Ehrlich et al., 2019b, https://doi.org/10.1594/PANGAEA.902603)
MOSAiC-ACA and AFLUX - Arctic airborne campaigns characterizing the exit area of MOSAiC
Two airborne field campaigns focusing on observations of Arctic mixed-phase clouds and boundary layer processes and their role with
respect to Arctic amplification have been carried out in spring 2019 and late summer 2020 over the Fram Strait northwest of Svalbard.
The latter campaign was closely connected to the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC)
expedition. Comprehensive data sets of the cloudy Arctic atmosphere have been collected by operating remote sensing instruments, insitu probes, instruments for the measurement of turbulent fluxes of energy and momentum, and dropsondes on board the AWI research
aircraft Polar 5. In total, 24 flights with 111 flight hours have been performed over open ocean, the marginal sea ice zone, and sea ice. The
data sets follow documented methods and quality assurance and are suited for studies on Arctic mixed-phase clouds and their
transformation processes, for studies with a focus on Arctic boundary layer processes, and for satellite validation application
A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign
The Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) cam-
paign was carried out north-west of Svalbard (Norway) between 23 May and 6 June 2017. The objective of
ACLOUD was to study Arctic boundary layer and mid-level clouds and their role in Arctic amplification. Two
research aircraft (Polar 5 and 6) jointly performed 22 research flights over the transition zone between open
ocean and closed sea ice. Both aircraft were equipped with identical instrumentation for measurements of basic
meteorological parameters, as well as for turbulent and radiative energy fluxes. In addition, on Polar 5 active
and passive remote sensing instruments were installed, while Polar 6 operated in situ instruments to characterize
cloud and aerosol particles as well as trace gases. A detailed overview of the specifications, data processing,
and data quality is provided here. It is shown that the scientific analysis of the ACLOUD data benefits from the
coordinated operation of both aircraft. By combining the cloud remote sensing techniques operated on Polar 5,
the synergy of multi-instrument cloud retrieval is illustrated. The remote sensing methods were validated us-
ing truly collocated in situ and remote sensing observations. The data of identical instruments operated on both
aircraft were merged to extend the spatial coverage of mean atmospheric quantities and turbulent and radiative
flux measurement. Therefore, the data set of the ACLOUD campaign provides comprehensive in situ and remote
sensing observations characterizing the cloudy Arctic atmosphere. All processed, calibrated, and validated data
are published in the World Data Center PANGAEA as instrument-separated data subsets (Ehrlich et al., 2019b,
https://doi.org/10.1594/PANGAEA.902603)
Learning environment, preparedness and satisfaction in osteopathy in Europe: The PreSS study
Objective: 1) to assess the preparedness to practice and satisfaction in learning environment amongst new graduates from European osteopathic institutions; 2) to compare the results of preparedness to practice and satisfaction in learning environment between and within countries where osteopathy is regulated and where regulation is still to be achieved; 3) to identify possible correlations between learning environment and preparedness to practice. Method: Osteopathic education providers of full-time education located in Europe were enrolled, and their final year students were contacted to complete a survey. Measures used were: Dundee Ready Educational Environment Measure (DREEM), the Association of American Medical Colleges (AAMC) and a demographic questionnaire. Scores were compared across institutions using one-way ANOVA and generalised linear model. Results: Nine European osteopathic education institutions participated in the study (4 located in Italy, 2 in the UK, 1 in France, 1 in Belgium and 1 in the Netherlands) and 243 (77%) of their final-year students completed the survey. The DREEM total score mean was 121.4 (SEM: 1.66) whilst the AAMC was 17.58 (SEM:0.35). A generalised linear model found a significant association between not-regulated countries and total score as well as subscales DREEM scores (p<0.001). Learning environment and preparedness to practice were significantly positively correlated (r=0.76; p<0.01). Discussion: A perceived higher level of preparedness and satisfaction was found amongst students from osteopathic institutions located in countries without regulation compared to those located in countries where osteopathy is regulated; however, all institutions obtained a 'more positive than negative' result. Moreover, in general, cohorts with fewer than 20 students scored significantly higher compared to larger student cohorts. Finally, an overall positive correlation between students' preparedness and satisfaction were found across all institutions recruited.SCOPUS: ar.jinfo:eu-repo/semantics/publishe
Generalised linear model for questionnaire domains.
<p>Education institutes in recognised countries are British School of Osteopathy, European School of Osteopathy and Institut des Hautes Etudes Ostéopathiques. SPL: Student Perception of Learning; SPT: Student Perception of Teacher; SAPS: Student academic self perception; SPA: Student Perception of Atmosphere; SSSP: Student Social Self Perception; в = Adjusted mean difference.</p><p>Generalised linear model for questionnaire domains.</p
DREEM scores range for general interpretation.
<p>DREEM scores range for general interpretation.</p
Flowchart of the institutions and students enrolled in the study.
<p>Flowchart of the institutions and students enrolled in the study.</p
Overall AAMC, overall and subscales DREEM differences between institutions.
<p>Overall AAMC, overall and subscales DREEM differences between institutions.</p