High-resolution repeat topography of drifting ice floes in the Arctic Ocean from terrestrial laser scanning.

Snow and ice topography impact and are impacted by fluxes of mass, energy, and momentum in Arctic sea ice. We measured the topography on approximately a 0.5 km2 drifting parcel of Arctic sea ice on 42 separate days from 18 October 2019 to 9 May 2020 via Terrestrial Laser Scanning (TLS). These data are aligned into an ice-fixed, lagrangian reference frame such that topographic changes (e.g., snow accumulation) can be observed for time periods of up to six months. Using in-situ measurements, we have validated the vertical accuracy of the alignment to ± 0.011 m. This data collection and processing workflow is the culmination of several prior measurement campaigns and may be generally applied for repeat TLS measurements on drifting sea ice. We present a description of the data, a software package written to process and align these data, and the philosophy of the data processing. These data can be used to investigate snow accumulation and redistribution, ice dynamics, surface roughness, and they can provide valuable context for co-located measurements.

Impact of COVID-19 pandemic on sleep of undergraduate students: A systematic literature review.

The 2019 coronavirus pandemic forced the shift to distance education aggravating mental and physical vulnerabilities of undergraduate students, including sleep. This review aims to describe sleep problem rates and prevalence, sleep pattern disruption, sleep duration, sleep quality, insomnia symptoms, psychological and socio-economic factors affecting sleep of undergraduates in 22 countries. A systematic search for articles published from 2020 to 2021 using 'COVID-19,' 'Coronavirus,' 'Pandemic,' 'Sleep,' 'Mental Health,' and 'Students' from PubMed, Scopus, and Cochrane yielded 2550 articles, where 72 were included. Selection criteria were: English full-text available articles, undergraduates and not postgraduates, reported sleep outcomes, and participants not from allied health courses. Risk of bias was assessed using various Joanna Briggs Institute checklists and outcomes were descriptively synthesized. Prevalence of sleep problems was notable, while longitudinal studies showed increased rates. There was significantly increased sleep duration, and sleep pattern disruption during lockdowns. Several psychological, behavioural, environmental, demographic, and socio-economic factors were found to be associated with sleep changes. These highlight the pandemic's impact on sleep of undergraduate students and reveal opportunities for institutions to intervene with policies and programs to promote the well-being of undergraduates. Limitations include recall bias and underrepresentation of other countries. This study is self-funded with registration number RGAO-2021-0071.

A Database of Snow on Sea Ice in the Central Arctic Collected during the MOSAiC expedition.

Snow plays an essential role in the Arctic as the interface between the sea ice and the atmosphere. Optical properties, thermal conductivity and mass distribution are critical to understanding the complex Arctic sea ice system's energy balance and mass distribution. By conducting measurements from October 2019 to September 2020 on the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, we have produced a dataset capturing the year-long evolution of the physical properties of the snow and surface scattering layer, a highly porous surface layer on Arctic sea ice that evolves due to preferential melt at the ice grain boundaries. The dataset includes measurements of snow during MOSAiC. Measurements included profiles of depth, density, temperature, snow water equivalent, penetration resistance, stable water isotope, salinity and microcomputer tomography samples. Most snowpit sites were visited and measured weekly to capture the temporal evolution of the physical properties of snow. The compiled dataset includes 576 snowpits and describes snow conditions during the MOSAiC expedition.

Public sector administration of ecological economics systems using mediated modeling.

In today's climate of government outsourcing and multiple stakeholder involvement in public sector management and service delivery, it is more important than ever to rethink and redesign the structure of how policy decisions are made, implemented, monitored, and adapted to new realities. The traditional command-and-control approach is now less effective because an increasing amount of responsibility to deliver public goods and services falls on networks of nongovernment agencies. Even though public administrators are seeking new decision-making models in an increasingly more complex environment, the public sector currently only sparsely utilizes Mediated Modeling (MM). There is growing evidence, however, that by employing MM and similar tools, public interest networks can be better equipped to deal with their long-term viability while maintaining the short-term needs of their clients. However, it may require a shift in organizational culture within and between organizations to achieve the desired results. This paper explores the successes and barriers to implementing MM and similar tools in the public sector and offers insights into utilizing them through a review of case studies and interdisciplinary literature. We aim to raise a broader interest in MM and similar tools among public sector administrators at various administrative levels. We focus primarily, but not exclusively, on those cases operating at the interface of ecology and socio-economic systems.