scholarly journals Mountain Permafrost Distribution in the Yari-Hotaka Mountains, Northern Japanese Alps: Air and Ground Temperature Monitoring Using Miniature Temperature Data Loggers

2011 ◽  
Vol 84 (1) ◽  
pp. 44-60
Author(s):  
AOYAMA Masafumi
Keyword(s):  
Temperature Data ◽  
Temperature Monitoring ◽  
Ground Temperature ◽  
Data Loggers ◽  
Mountain Permafrost

scholarly journals NORPERM, the Norwegian Permafrost Database – a TSP NORWAY IPY legacy

2010 ◽  
Vol 3 (1) ◽  
pp. 27-54 ◽  
Author(s):  
H. Juliussen ◽  
H. H. Christiansen ◽  
G. S. Strand ◽  
S. Iversen ◽  
K. Midttømme ◽  
...  
Keyword(s):  
Thermal State ◽  
Ground Surface ◽  
Temperature Data ◽  
Ground Temperature ◽  
Future Research ◽  
Research Project ◽  
International Polar Year ◽  
Standard Format ◽  
Data Infrastructure ◽  
Data Loggers

Abstract. NORPERM – The Norwegian Permafrost Database was developed at the Geological Survey of Norway during the International Polar Year (IPY) 2007–2009 as the main data legacy of the IPY research project Permafrost Observatory Project: A Contribution to the Thermal State of Permafrost in Norway and Svalbard (TSP NORWAY). This paper describes the structural and technical design of NORPERM. NORPERM follows the IPY data policy of open, free, full and timely release of IPY data, and the borehole metadata description follows the Global Terrestrial Network for Permafrost (GTN-P) standard. The ground temperature data infrastructure in Norway and Svalbard is also presented, focussing on the TSP NORWAY permafrost observatory installations in the North Scandinavian Permafrost Observatory and Nordenskiöld Land Permafrost Observatory, as the data providers for NORPERM. Further developments of the database, possibly towards a regional database for the Nordic area, are also discussed. The purpose of NORPERM is to store ground temperature data safely and in a standard format for use in future research. NORPERM stores temperature time series from various depths in boreholes and from the air, snow cover, ground-surface or upper ground layer recorded by miniature temperature data-loggers, and temperature profiles with depth in boreholes obtained by occasional manual logging. It contains all the temperature data from the TSP NORWAY research project, totalling 32 boreholes and 98 sites with miniature temperature data-loggers for continuous monitoring of micrometeorological conditions, and 6 temperature depth profiles obtained by manual borehole logging. The amount of data in the database will gradually increase as data from older, previous projects are added. NORPERM also provides links to near real-time permafrost temperatures obtained by GSM data transfer.

scholarly journals Ground thermal regime in the vicinity of relict rock glaciers (Cantabrian Mountains, NW Spain)

Finisterra ◽  
2012 ◽  
Vol 44 (87) ◽  
Author(s):  
Javier Santos-González ◽  
Rosa González-Gutiérrez ◽  
Amélia Gómes-Villar ◽  
José Redondo-Vega
Keyword(s):  
Snow Cover ◽  
Thermal Regime ◽  
Strong Influence ◽  
Temperature Data ◽  
Ground Temperature ◽  
Cantabrian Mountains ◽  
Nw Spain ◽  
Freeze Thaw ◽  
Rock Glaciers ◽  
Frost Penetration

Ground temperature data obtained from 2002 to 2007 in sites near relict rock glaciers in the cantabrian mountains, at altitudes between 1500 and 2300 meters is analysed. Snow cover lasted between 3 and 9 months and had a strong influence on the thermal regime. When snow was present, the soil was normally frozen in the first 5 to 10 cm, but daily freeze-thaw cycles were rare. In well developed soils located at sunny faces frost penetration rarely reached more than 10 cm. on the contrary in shady and windy faces with scarce snow cover, frost penetration reached, at least, 40 cm. In persistent snow patches the temperature was stable at 0 ºc, even in relict rock glaciers, where subnival winter air fluxes appear to have been very rare.

Ground thermal contrasts and variability at an alpine pyramidal peak in central Austria (Innerer Knorrkogel, Venediger Mountains)

2021 ◽  
Author(s):  
Andreas Kellerer-Pirklbauer ◽  
Gerhard Karl Lieb
Keyword(s):  
Snow Cover ◽  
Thermal Regime ◽  
Ground Surface ◽  
Temperature Monitoring ◽  
Ground Temperature ◽  
Freeze Thaw ◽  
Ground Temperatures ◽  
Frost Weathering ◽  
Second Year ◽  
Ridge Flank

<p>Ground temperatures in alpine environments are severely influenced by slope orientation (aspect), slope inclination, local topoclimatic conditions, and thermal properties of the rock material. Small differences in one of these factors may substantially impact the ground thermal regime, weathering by freeze-thaw action or the occurrence of permafrost. To improve the understanding of differences, variations, and ranges of ground temperatures at single mountain summits, we studied the ground thermal conditions at a triangle-shaped (plan view), moderately steep pyramidal peak over a two-year period (2018-2020).</p><p>We installed 18 monitoring sites with 23 sensors near the summit of Innerer Knorrkogel (2882m asl), in summer 2018 with one- and multi-channel datalogger (Geoprecision). All three mountain ridges (east-, northwest-, and southwest-facing) and flanks (northeast-, west-, and south-facing) were instrumented with one-channel dataloggers at two different elevations (2840 and 2860m asl) at each ridge/flank to monitor ground surface temperatures. Three bedrock temperature monitoring sites with shallow boreholes (40cm) equipped with three sensors per site at each of the three mountain flanks (2870m asl) were established. Additionally, two ground surface temperature monitoring sites were installed at the summit.</p><p>Results show remarkable differences in mean annual ground temperatures (MAGT) between the 23 different sensors and the two years despite the small spatial extent (0.023 km²) and elevation differences (46m). Intersite variability at the entire mountain pyramid was 3.74°C in 2018/19 (mean MAGT: -0.40°C; minimum: -1.78°C; maximum: 1.96°C;) and 3.27°C in 2019/20 (mean MAGT: 0.08°C; minimum: -1.54°C; maximum: 1,73°C;). Minimum was in both years at the northeast-facing flank, maximum at the south-facing flank. In all but three sites, the second monitoring year was warmer than the first one (mean +0.48°C) related to atmospheric differences and site-specific snow conditions. The comparison of the MAGT-values of the two years (MAGT-2018/19 minus MAGT-2019/20) revealed large thermal inhomogeneities in the mountain summit ranging from +0.65° (2018/19 warmer than 2019/20) to -1.76°C (2018/19 colder than 2019/20) at identical sensors. Temperature ranges at the three different aspects but at equal elevations were 1.7-2.2°C at ridges and 1.8-3.7°C at flanks for single years. The higher temperature range for flank-sites is related to seasonal snow cover effects combined with higher radiation at sun-exposed sites. Although the ground temperature was substantially higher in the second year, the snow cover difference between the two years was variable. Some sites experienced longer snow cover periods in the second year 2019/20 (up to +85 days) whereas at other sites the opposite was observed (up to -85 days). Other frost weathering-related indicators (diurnal freeze-thaw cycles, frost-cracking window) show also large intersite and interannual differences.</p><p>Our study shows that the thermal regime at a triangle-shaped moderately steep pyramidal peak is very heterogeneous between different aspects and landforms (ridge/flank/summit) and between two monitoring years confirming earlier monitoring and modelling results. Due to high intersite and interannual variabilities, temperature-related processes such as frost-weathering can vary largely between neighbouring sites. Our study highlights the need for systematic and long-term ground temperature monitoring in alpine terrain to improve the understanding of small- to medium-scale temperature variabilities.</p>

An automated temperature-monitoring system for dry-shippers

2004 ◽  
Vol 37 (3) ◽  
pp. 477-480
Author(s):  
Fernando Ridoutt ◽  
Christoph Mueller-Dieckmann ◽  
Paul A. Tucker ◽  
Manfred S. Weiss
Keyword(s):  
Monitoring System ◽  
Temperature Curve ◽  
Temperature Monitoring ◽  
Data Loggers

A commercially available temperature-logging device (Tinytag Plus, Gemini Data Loggers) was fitted to a Taylor-Wharton CP100 dry-shipper, which is a widely used container for the storage and transport of macromolecular crystals. The temperature was monitored over periods of up to one week, which included the transport of the container from Hamburg (Germany) to Trieste (Italy) and back. Further control experiments were carried out in order to assess the effect of certain disturbing events on the temperature curve.

scholarly journals Analysis of Variability in Curing Conditions and Tobacco-Specific Nitrosamines Within Barns of Dark Air-Cured Tobacco

2017 ◽  
Vol 54 (1) ◽  
pp. 6-14
Author(s):  
Mitchell D. Richmond ◽  
Robert C. Pearce ◽  
Ben M. Goff ◽  
William A. Bailey
Keyword(s):  
Relative Humidity ◽  
Significant Relationship ◽  
Temperature Data ◽  
Individual Data ◽  
Data Logger ◽  
Curing Conditions ◽  
3 Dimensional ◽  
Data Loggers ◽  
Variety Selection ◽  
Tobacco Specific Nitrosamines

Significant variability in cured-leaf tobacco-specific nitrosamine (TSNA) content is commonly observed when sampling within dark air-curing barns. This variability may be due to inconsistency in the curing environment within different areas of the barn. A study was initiated in 2012, through support from a CORESTA Study Grant, to evaluate if cured-leaf TSNA content is related to microenvironmental conditions in the barn. Low-converter (TRsc) and high-converter (TRHC) selections of TR Madole dark tobacco were air cured in barns near Princeton and Lexington, KY. Temperature and relative humidity were measured with data loggers placed at 27 different locations within each barn for the duration of curing. There were no significant effects of individual data logger placement in either variety selection on hours above 24°C temperature, hours above 80% relative humidity, or TSNA; therefore, we investigated these data within the 3-dimensional aspects of tier, room, and bent within each barn. There were various effects of tier, room, and bent on temperature, relative humidity, and TSNA. Temperature data followed an understandable pattern across tiers in the barn within each year and location; however, relative humidity and TSNA were more difficult to characterize adequately. There was a significant relationship between hours above 24°C and TSNA, but not hours above 80% relative humidity. This study has shown that the effect of within-barn position on TSNA cannot be easily predicted.

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