scholarly journals Compact wooden roofs with smart vapour barrier – Pilot project experiences

2020 ◽  
Vol 172 ◽  
pp. 07010
Author(s):  
Nora Schjøth Bunkholt ◽  
Lars Gullbrekken ◽  
Stig Geving ◽  
Tore Kvande
Keyword(s):  
Moisture Content ◽  
Organic Materials ◽  
Pilot Project ◽  
Arctic Climate ◽  
The Arctic ◽  
Pilot Projects ◽  
Preliminary Measurement ◽  
Safety Risks ◽  
Measurement Results ◽  
Initial Results

Compact roofs are normally built without organic materials between the vapour barrier and the roof membrane due to moisture safety risks. However, laboratory measurements indicate that organic materials could be used provided that a smart vapour barrier (SVB) is applied at the warm face of the roof construction. The aim of this study is to investigate the moisture and temperature conditions in three full-scale flat compact wooden roofs with SVB. The roofs are part of two pilot projects located in Longyearbyen, Svalbard and Malvik, Norway. The paper presents the two projects including the premises for construction of the roofs and provides preliminary measurement results. The roofs are instrumented to measure moisture content and temperature in the wooden roof beams. The initial results from Longyearbyen show that the moisture content in the wooden beams is low and indicate that compact wooden roofs with SVB may be a solution with acceptable moisture risk in the arctic climate. The initial results from Malvik show that there might be a risk of mould growth in the roof as the built-in moisture in the wooden beams was up to 24 weight-%. In both projects, the moisture content in the beams in general was higher close to the roof underlay than close to the SVB.

The Arctic Climate System

2005 ◽  
Author(s):  
Mark C. Serreze ◽  
Roger G. Barry
Keyword(s):  
Climate System ◽  
Arctic Climate ◽  
The Arctic

COMPARATIVE ANALYSIS OF SOLAR MODULES OPERATION IN THE ARCTIC CLIMATE OF RUSSIA AND CANADA

2017 ◽  
pp. 12-24
Author(s):  
E. S. Bodrova ◽  
V. V. Dolgosheev ◽  
I. M. Kirpichnikova ◽  
D. V. Korobatov ◽  
A. S. Martyanov ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Arctic Climate ◽  
The Arctic

PROFESIONALISASI GURU BAHASA INGGRIS SEKOLAH YAYASAN PENDIDIKAN JAYAWIJAYA MENUJU SEKOLAH BERTARAF INTERNASIONAL: Sebuah Analisis Reflektif dalam Perspektif Psikologi

2015 ◽  
Vol 7 (1) ◽  
pp. 13-28
Author(s):  
Supriyono Supriyono
Keyword(s):  
Quality Management ◽  
School Quality ◽  
English Proficiency ◽  
Pilot Project ◽  
English Teachers ◽  
Qualitative Approach ◽  
Pilot Projects

This study aims at describing pilot projects to increase teachers’ professionalism in English proficiency.  Pilot project was conducted by Yayasan Pendidikan Jayawijaya, Papua regarding efforts to increase school quality management from national into international qualification.  Reflective analysis using qualitative approach was used for analysis.  This study revealed that strategies to conduct the policy asserted psychological perspectives focusing and maintaining motivation, expectation and andragogy implementation.  Teachers’ problems were approached through constructive relation. The pilot project that initially was administered for English teachers, has been implemented successfully for all teachers at the Yayasan.

Methods and preliminary measurement results of liquid Li wettability

2014 ◽  
Vol 85 (2) ◽  
pp. 023506 ◽  
Author(s):  
G. Z. Zuo ◽  
J. S. Hu ◽  
J. Ren ◽  
Z. Sun ◽  
Q. X. Yang ◽  
...  
Keyword(s):  
Preliminary Measurement ◽  
Measurement Results

scholarly journals The influence of the lunar nodal cycle on Arctic climate

2006 ◽  
Vol 63 (3) ◽  
pp. 401-420 ◽  
Author(s):  
Harald Yndestad
Keyword(s):  
Time Series ◽  
Signal To Noise Ratio ◽  
Phase Relationship ◽  
Harmonic Spectrum ◽  
Arctic Climate ◽  
The Arctic ◽  
Major Influence ◽  
Sea Temperature ◽  
Arctic Ice

Abstract The Arctic Ocean is a substantial energy sink for the northern hemisphere. Fluctuations in its energy budget will have a major influence on the Arctic climate. The paper presents an analysis of the time-series for the polar position, the extent of Arctic ice, sea level at Hammerfest, Kola section sea temperature, Røst winter air temperature, and the NAO winter index as a way to identify a source of dominant cycles. The investigation uses wavelet transformation to identify the period and the phase in these Arctic time-series. System dynamics are identified by studying the phase relationship between the dominant cycles in all time-series. A harmonic spectrum from the 18.6-year lunar nodal cycle in the Arctic time-series has been identified. The cycles in this harmonic spectrum have a stationary period, but not stationary amplitude and phase. A sub-harmonic cycle of about 74 years may introduce a phase reversal of the 18.6-year cycle. The signal-to-noise ratio between the lunar nodal spectrum and other sources changes from 1.6 to 3.2. A lunar nodal cycle in all time-series indicates that there is a forced Arctic oscillating system controlled by the pull of gravity from the moon, a system that influences long-term fluctuations in the extent of Arctic ice. The phase relation between the identified cycles indicates a possible chain of events from lunar nodal gravity cycles, to long-term tides, polar motions, Arctic ice extent, the NAO winter index, weather, and climate.

MOSAiC simulator in CMIP6

2021 ◽  
Author(s):  
Rajka Juhrbandt ◽  
Suvarchal Cheedela ◽  
Nikolay Koldunov ◽  
Thomas Jung
Keyword(s):  
Surface Layer ◽  
Arctic Ocean ◽  
Ease Of Use ◽  
Arctic Climate ◽  
The Arctic ◽  
Early Results ◽  
The Arctic Ocean ◽  
Virtual Field ◽  
Field Campaigns ◽  
Type Code

<p>The recently completed Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) can serve as reference to evaluate current and future ocean state of the Arctic Ocean. With this premise, we perform a virtual MOSAiC expedition in historical and ssp370-scenario experiments in data generated by CMIP6 models.<br><br>The timespan covered ranges from preindustrial times (1851-1860) through present-day up to a 4K world (2091-2100). Early results using AWI-CM model, suggest that for scenario simulations a thinning of the colder surface layer and a warming of the layer between 200 and 1200 m along the MOSAiC path can be expected, while there is no significant change in temperature below this depth. Results from other models will be presented.<br><br>The Python-centric tool used for the analysis simplifies preprocessing of a pool of CMIP6 data and selecting data on space-time trajectory. It exposes an interface that is agnostic to underlying model or its grid type. Code snippets are presented along to demonstrate the tool's ease of use with a hope to inspire such virtual field campaigns using other past observations or arbitrary trajectories.</p>

The Virtual Water Gallery: a collaborative science and art project

2021 ◽  
Author(s):  
Louise Arnal ◽  
Martyn Clark ◽  
Stacey Dumanski ◽  
John Pomeroy
Keyword(s):  
Boreal Forests ◽  
Water Environment ◽  
Leading Edge ◽  
Virtual Water ◽  
Pilot Project ◽  
The Arctic ◽  
The Public ◽  
Science And Art ◽  
Quality Degradation ◽  
Collaborative Space

<p>Water is life and so water-related challenges, such as droughts, floods and water quality degradation, affect everyone. Conceptualizing water-related environmental and social problems in novel ways, with engagement between the public and science researchers, may lead to new and more comprehensive solutions to complex problems. A society that makes decisions informed by science and science that approaches problems in a transdisciplinary manner are key elements in finding creative and holistic solutions to the water-related challenges we all face. We believe that art can help co-establish new social norms to help us grasp and tackle water-related challenges in a more holistic manner.</p><p>The Virtual Water Gallery* is a science and art pilot project funded by Global Water Futures (GWF). GWF is a University of Saskatchewan-led research program that is funded in part by the Canada First Research Excellence Fund. Its overarching goal is to deliver risk management solutions, informed by leading-edge water science, to manage water futures in Canada and other cold regions where global warming is changing landscapes, ecosystems and the water environment. Launched in Summer 2020, the Virtual Water Gallery aims to provide a safe, inclusive and collaborative space for fully open discussions between scientists, artists, and a wider public, to explore past, present and future water challenges.</p><p>As part of this pilot project, 13 artists were paired with teams of GWF scientists to co-explore specific water challenges in various Canadian ecoregions and river basins, including the Arctic, the mountains, boreal forests, prairies, farmlands, lakes, rivers, and communities. These collaborations are leading to the co-creation of science and art pieces which will be exhibited online on a Virtual Water Gallery. By making this online exhibition accessible to a global audience, we hope that the co-created art pieces will open creative and informative discussions about urgent water challenges to a wider audience via the gallery space.</p><p>*More information about the Virtual Water Gallery on the GWF webpage: https://gwf.usask.ca/outreach/virtual-water-gallery.php</p>

scholarly journals Near Real Time Arctic sea ice thickness and volume from CryoSat-2

2016 ◽  
Author(s):  
R. L. Tilling ◽  
A. Ridout ◽  
A. Shepherd
Keyword(s):  
Sea Ice ◽  
Real Time ◽  
Arctic Sea Ice ◽  
Arctic Climate ◽  
The Arctic ◽  
Ice Thickness ◽  
Satellite Orbits ◽  
Sea Ice Thickness ◽  
Arctic Sea ◽  
Arctic Sea Ice Thickness

Abstract. Timely observations of sea ice thickness help us to understand Arctic climate, and can support maritime activities in the Polar Regions. Although it is possible to calculate Arctic sea ice thickness using measurements acquired by CryoSat-2, the latency of the final release dataset is typically one month, due to the time required to determine precise satellite orbits. We use a new fast delivery CryoSat-2 dataset based on preliminary orbits to compute Arctic sea ice thickness in near real time (NRT), and analyse this data for one sea ice growth season from October 2014 to April 2015. We show that this NRT sea ice thickness product is of comparable accuracy to that produced using the final release CryoSat-2 data, with an average thickness difference of 5 cm, demonstrating that the satellite orbit is not a critical factor in determining sea ice freeboard. In addition, the CryoSat-2 fast delivery product also provides measurements of Arctic sea ice thickness within three days of acquisition by the satellite, and a measurement is delivered, on average, within 10, 7 and 6 km of each location in the Arctic every 2, 14 and 28 days respectively. The CryoSat-2 NRT sea ice thickness dataset provides an additional constraint for seasonal predictions of Arctic climate change, and will allow industries such as tourism and transport to navigate the polar oceans with safety and care.

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