Links between the moisture origin and isotopic signature in water vapour, snowfall and snow pack at Finse Alpine Research Center (1222m) in Southern Noway

2020 ◽  
Author(s):  
Mika Lanzky ◽  
Alexandra Touzeau ◽  
John F. Burkhart ◽  
Simon Filhol ◽  
Yongbiao Weng ◽  
...  
Keyword(s):  
Snow Cover ◽  
Water Vapour ◽  
Winter Season ◽  
Ambient Air ◽  
Source Analysis ◽  
Snow Pack ◽  
Moisture Source ◽  
Seasonal Snow ◽  
Meteorological Observations ◽  
Alpine Research

<p>Seasonal snow cover is a crucial resource for hydropower in Norway. Understanding water sources and processes related to inter-annual snow cover variability is therefore of fundamental societal relevance. The stable water isotope composition of precipitation provides a natural, integrated tracer of the condensation history during atmospheric water transport. The main parameters dD and d18O along with the secondary quantity d-excess give information about the origin and transport history of moisture from its source to its sink. When snow falls and deposits on the ground as a sediment, it creates a record in the form of the seasonal snow pack.</p><p>Here we utilize data acquired during a field campaign in the winter season of 2018-2019 at the Finse Alpine Research Station Center (1222m, 60.6N, 7.5E) in Norway, in order to investigate the transfer of the isotopic signal of source and transport conditions from vapour to snowfall, and to the snow pack.</p><p>Over a main period of two months, snowfall was sampled daily, while the water vapour was continuously measured from ambient air guided through a heated inlet to a Picarro L2130i infrared spectrometer, with daily calibration runs. During five periods with intense snowfall, we carried out higher frequency sampling down to 15 minute intervals. Covering the entire winter season, five snowpits were sampled for isotopic analysis as well as detailed stratigraphy. In total more than 400 snow samples where taken and analysed for their isotopic composition, accompanied by routine meteorological observations over the winter season at the site. In addition, we compare the variations in the observed isotope signal at Finse with one derived from moisture source analysis using the Lagrangian diagnostic WaterSip, based on the FLEXPART model and ERA Interim reanalysis data.</p><p>To investigate to what degree moisture source information is archived in the snow pack, and how it evolves during the season, we compare snow observations at different time resolution (daily and high frequency snowfall samples) with the record of the snow pack, aided by the snow model CROCUS. The meteorological observations supply context for understanding the snow formation conditions. In particular, deviations from isotopic equilibrium between vapour and precipitation at ambient temperature conditions provide insight into the dominant condensation regime during different intense observation periods.</p>

Evaluation of the productivity of the hybrid vine Seyval blanc in function of several types of protection against frost in Quebec

OENO One ◽  
2003 ◽  
Vol 37 (1) ◽  
pp. 1
Author(s):  
T. Telebak ◽  
Yvon Jolivet ◽  
Jean-Marie Dubois
Keyword(s):  
Mortality Rate ◽  
Snow Cover ◽  
Sugar Content ◽  
Winter Season ◽  
Ambient Air ◽  
Bare Soil ◽  
Climatic Conditions ◽  
The Other ◽  
Potential Yield ◽  
Natural Snow

<p style="text-align: justify;">In Quebec, winter frost is one of the determining factors influencing vine survival and yield. To evaluate the quality of the different types of winter protection, ground temperature data under different covers (ground knolls, leaf mounds, carried over snow and natural snow) and ambient air temperatures were recorded. Results show that the Seyval blanc, if not protected against winter frost, can sustain quite serious damages when the air temperature reaches -30 °C. Ridging, leaf covering and the natural snow cover as well as carried over snow have a positive effect on ground temperatures, since over the site without protection, frost penetrated down to a depth of 50 cm. However, it seems that the root System did not sustain significant damages from the ground frost since regrowth occurred in the Spring. Because of its direct exposure to radiation and surface climatic conditions, bare soil warms up more quickly in the Spring compared to the other sites benefiting from protection. Results also indicate that the mortality rate of the vine stock fruit buds without protection is nearly 100 % compared to the protected vine stocks with a fruit bud mortality rate varying from 22.5 to 35.8 %. The protected vine stocks, regardless of the type of protection used, had satislactory yields from 7.2 t/ha to 24.4 t/ha. On the other hand, the raisin yield of the vine stocks without any winter protection is null. The best raisin yields were obtained over sites where vine stocks were protected by ridging (40 cm of earth), while the vine stocks protected by leaf covering showed an average yield. We also observed that when vine stock leaf covering is coupled with lodged vine shoots, raisin yields are higher than when the vine shoots are erect. However, in both cases, potential yield per hectare is satisfactory. Hence, the lodging of vine shoots becomes a useless operation. The vine stocks protected by natural snow as well as by leaf covering (30 cm + carried over snow and lodged vine shoots) gave the fruit with the highest sugar content. Snow is also an excellent insulator because a 37 cm high snow cover permitted the survival of the vine stocks protected by snow even when the temperature reached -30 °C. The only problem still posing a threat is snow cover variability during the winter season. A reduced snow cover, coupled with temperature conditions under the threshold of tolerance of the vine to cold, could not insure satisfactory protection ol the fruit buds.</p>

scholarly journals Spatiotemporal and Source Analysis of Ultrafine Particulates (PM1) Over Bengaluru, Karnataka, India

2020 ◽  
Author(s):  
manjunatha A S ◽  
K E Ganesh
Keyword(s):  
Elemental Composition ◽  
Mass Concentration ◽  
Anthropogenic Activities ◽  
Monsoon Season ◽  
Winter Season ◽  
Ambient Air ◽  
Source Analysis ◽  
Composition Analysis ◽  
Average Mass ◽  
Air Atmosphere

Abstract Measurements and analysis of Particulate Matter of aerodynamic diameter 1µm (PM1) has been carried out using indigenously built air sampler APM 577from IIT-Kfor the study period July 2018- July 2019at the following locations of Bengaluru city: Basavanagudi (BAS), Domlur (DOM), Hosur road (HOS) and DC Halli (DCH).The mass concentration of collected PM1 sampleshas been observed to vary from 20.16 µg/m3 to 68.64 µg/m3during the studyperiod. The highest mass concentration of 68.64 µg/m3 was observed for the location BAS and the lowest mass concentration of20.16 µg/m3 was observed for the location DOM. The average mass concentration ofPM1 around Bengaluru for winter, summer, monsoon & post monsoon season is observed to be 47.60 µg/m3,40.24 µg/m3,30.85 µg/m3 and 38.76 µg/m3respectively. The average 24hrmass concentrations of PM1in winter season is found to be higher than National Ambient Air Quality Standards(NAAQS)limit of 60µg/m3 for PM2.5. The SEM-EDAX techniques were used to understand morphology and elemental composition of PM1. SEM Imaging technique confirms the fact that in ambient air atmosphere near the study locations the source of PM1is mainly from anthropogenic activities(primary) and natural (secondary) formation. Also,some of the collected samples showed the presence of microorganisms and biological particles such as bacillus. Elemental composition analysis made by EDAX technique showed the presence of non -metals such as Carbon, Oxygen, Nitrogen, Aluminium, Sulphur and potassium.

scholarly journals The isotopic composition of water vapour and precipitation in Ivittuut, southern Greenland

2014 ◽  
Vol 14 (9) ◽  
pp. 4419-4439 ◽  
Author(s):  
J.-L. Bonne ◽  
V. Masson-Delmotte ◽  
O. Cattani ◽  
M. Delmotte ◽  
C. Risi ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Isotopic Composition ◽  
Water Vapour ◽  
General Circulation ◽  
Winter Season ◽  
First Record ◽  
Back Trajectory ◽  
Deuterium Excess ◽  
Local Surface ◽  
Moisture Source

Abstract. Since September 2011, a wavelength-scanned cavity ring-down spectroscopy analyser has been remotely operated in Ivittuut, southern Greenland, providing the first record of surface water vapour isotopic composition based on continuous measurements in South Greenland and the first record including the winter season in Greenland. The comparison of vapour data with measurements of precipitation isotopic composition suggest an equilibrium between surface vapour and precipitation. δ18O and deuterium excess are generally anti-correlated and show important seasonal variations, with respective amplitudes of ~10 and ~20‰, as well as large synoptic variations. The data depict small summer diurnal variations. At the seasonal scale, δ18O has a minimum in November–December and a maximum in June–July, while deuterium excess has a minimum in May–June and a maximum in November. The approach of low-pressure systems towards South Greenland leads to δ18O increase (typically +5‰) and deuterium excess decrease (typically −15‰). Seasonal and synoptic variations coincide with shifts in the moisture sources, estimated using a quantitative moisture source diagnostic based on a Lagrangian back-trajectory model. The atmospheric general circulation model LMDZiso correctly captures the seasonal and synoptic variability of δ18O, but does not capture the observed magnitude of deuterium excess variability. Covariations of water vapour isotopic composition with local and moisture source meteorological parameters have been evaluated. δ18O is strongly correlated with the logarithm of local surface humidity, consistent with Rayleigh distillation processes, and with local surface air temperature, associated with a slope of ~0.4‰ °C−1. Deuterium excess correlates with local surface relative humidity as well as surface relative humidity from the dominant moisture source area located in the North Atlantic, south of Greenland and Iceland.

Effect of seasonal snow cover on litter decomposition in alpine forest

2013 ◽  
Vol 37 (4) ◽  
pp. 296-305 ◽  
Author(s):  
Qi-Qian WU ◽  
Fu-Zhong WU ◽  
Wan-Qin YANG ◽  
Zhen-Feng XU ◽  
Wei HE ◽  
...  
Keyword(s):  
Snow Cover ◽  
Litter Decomposition ◽  
Seasonal Snow ◽  
Alpine Forest ◽  
Seasonal Snow Cover

scholarly journals Changes in Air Temperature and Snow Cover in Winter in Poland

Atmosphere ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 68
Author(s):  
Arkadiusz M. Tomczyk ◽  
Ewa Bednorz ◽  
Katarzyna Szyga-Pluta
Keyword(s):  
Snow Cover ◽  
Air Temperature ◽  
Winter Season ◽  
Primary Objective ◽  
Climatic Conditions ◽  
Cover Depth ◽  
North Eastern ◽  
Northern Regions ◽  
Maximum Air Temperature ◽  
Snow Cover Depth

The primary objective of the paper was to characterize the climatic conditions in the winter season in Poland in the years 1966/67–2019/20. The study was based on daily values of minimum (Tmin) and maximum air temperature (Tmax), and daily values of snow cover depth. The study showed an increase in both Tmin and Tmax in winter. The most intensive changes were recorded in north-eastern and northern regions. The coldest winters were recorded in the first half of the analyzed multiannual period, exceptionally cold being winters 1969/70 and 1984/85. The warmest winters occurred in the second half of the analyzed period and among seasons with the highest mean Tmax, particularly winters 2019/20 and 1989/90 stood out. In the study period, a decrease in snow cover depth statistically significant in the majority of stations in Poland was determined, as well as its variability both within the winter season and multiannual.

Desaturation of exhaled air in camels

1981 ◽  
Vol 211 (1184) ◽  
pp. 305-319 ◽  
Keyword(s):  
Drinking Water ◽  
Heat Exchange ◽  
Body Temperature ◽  
Water Vapour ◽  
Mechanical Model ◽  
Ambient Air ◽  
Body Core Temperature ◽  
Hygroscopic Properties ◽  
Exhaled Air ◽  
Body Core

We have found that camels can reduce the water loss due to evaporation from the respiratory tract in two ways: (1) by decreasing the temperature of the exhaled air and (2) by removal of water vapour from this air, resulting in the exhalation of air at less than 100% relative humidity (r. h.). Camels were kept under desert conditions and deprived of drinking water. In the daytime the exhaled air was at or near body core temperature, while in the cooler night exhaled air was at or near ambient air temperature. In the daytime the exhaled air was fully saturated, but at night its humidity might fall to approximately 75% r. h. The combination of cooling and desaturation can provide a saving of water of 60% relative to exhalation of saturated air at body temperature. The mechanism responsible for cooling of the exhaled air is a simple heat exchange between the respiratory air and the surfaces of the nasal passageways. On inhalation these surfaces are cooled by the air passing over them, and on exhalation heat from the exhaled air is given off to these cooler surfaces. The mechanism responsible for desaturation of the air appears to depend on the hygroscopic properties of the nasal surfaces when the camel is dehydrated. The surfaces give off water vapour during inhalation and take up water from the respiratory air during exhalation. We have used a simple mechanical model to demonstrate the effectiveness of this mechanism.

Modelling the hypsometric seasonal snow cover using meteorological parameters

2014 ◽  
Vol 60 (1) ◽  
pp. 51-64 ◽  
Author(s):  
Snehmani ◽  
Anshuman Bhardwaj ◽  
Mritunjay Kumar Singh ◽  
R.D. Gupta ◽  
Pawan Kumar Joshi ◽  
...  
Keyword(s):  
Snow Cover ◽  
Meteorological Parameters ◽  
Seasonal Snow ◽  
Seasonal Snow Cover

scholarly journals Seasonal and Ephemeral Snowpacks of the Conterminous United States

Hydrology ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 32
Author(s):  
Benjamin J. Hatchett
Keyword(s):  
United States ◽  
At Risk ◽  
New England ◽  
Snow Cover ◽  
Snow Water Equivalent ◽  
Atlantic Coast ◽  
Seasonal Snow ◽  
Temperature And Precipitation ◽  
Lower Elevation ◽  
Precipitation Estimates

Snowpack seasonality in the conterminous United States (U.S.) is examined using a recently-released daily, 4 km spatial resolution gridded snow water equivalent and snow depth product developed by assimilating station-based observations and gridded temperature and precipitation estimates from PRISM. Seasonal snowpacks for the period spanning water years 1982–2017 were calculated using two established methods: (1) the classic Sturm approach that requires 60 days of snow cover with a peak depth >50 cm and (2) the snow seasonality metric (SSM) that only requires 60 days of continuous snow cover to define seasonal snow. The latter approach yields continuous values from −1 to +1, where −1 (+1) indicates an ephemeral (seasonal) snowpack. The SSM approach is novel in its ability to identify both seasonal and ephemeral snowpacks. Both approaches identify seasonal snowpacks in western U.S. mountains and the northern central and eastern U.S. The SSM approach identifies greater areas of seasonal snowpacks compared to the Sturm method, particularly in the Upper Midwest, New England, and the Intermountain West. This is a result of the relaxed depth constraint compared to the Sturm approach. Ephemeral snowpacks exist throughout lower elevation regions of the western U.S. and across a broad longitudinal swath centered near 35° N spanning the lee of the Rocky Mountains to the Atlantic coast. Because it lacks a depth constraint, the SSM approach may inform the location of shallow but long-duration snowpacks at risk of transitioning to ephemeral snowpacks with climatic change. A case study in Oregon during an extreme snow drought year (2014/2015) highlights seasonal to ephemeral snowpack transitions. Aggregating seasonal and ephemeral snowpacks to the HUC-8 watershed level in the western U.S. demonstrates the majority of watersheds are at risk of losing seasonal snow.

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