scholarly journals The Accumulated Winter Season Severity Index (AWSSI)

2015 ◽  
Vol 54 (8) ◽  
pp. 1693-1712 ◽  
Author(s):  
Barbara E. Mayes Boustead ◽  
Steven D. Hilberg ◽  
Martha D. Shulski ◽  
Kenneth G. Hubbard
Keyword(s):  
Snow Depth ◽  
Meteorological Parameter ◽  
Winter Season ◽  
Weather Conditions ◽  
Severity Index ◽  
Winter Weather ◽  
Site Specific ◽  
Teleconnection Patterns ◽  
Temperature And Precipitation ◽  
Parallel Index

AbstractThe character of a winter can be defined by many of its features, including temperature averages and extremes, snowfall totals, snow depth, and the duration between onset and cessation of winter-weather conditions. The accumulated winter season severity index incorporates these elements into one site-specific value that defines the severity of a particular winter, especially when examined in the context of climatological values for that site. Thresholds of temperature, snowfall, and snow depth are assigned points that accumulate through the defined winter season; a parallel index uses temperature and precipitation to provide a snow proxy where snow data are unavailable or unreliable. The results can be analyzed like any other meteorological parameter to examine relationships to teleconnection patterns, determine trends, and create sector-specific applications, as well as to analyze an ongoing winter or any individual winter season to place its severity in context.

scholarly journals Winter Weather Anomalies and Individual Destination Choice

2018 ◽  
Vol 10 (8) ◽  
pp. 2630 ◽  
Author(s):  
Martin Falk ◽  
Eva Hagsten
Keyword(s):  
Winter Season ◽  
Substitution Effect ◽  
Weather Conditions ◽  
Multinomial Logit Model ◽  
European Alps ◽  
Winter Weather ◽  
Temperature Deviation ◽  
Use Of Data ◽  
Transportation Modes ◽  
Weather Anomalies

Recently, several winter seasons in the European Alps have been unexpectedly warm. In the Austrian mountains, December 2015 was the warmest since weather records began, with a temperature deviation of +6.6 °C compared to the long-term average. By use of data on 6200 individual trips from the Austrian travel survey, a multinomial Logit model is employed to estimate if weather anomalies affect the choice of winter trips. A substitution for more distant trips may create additional environmental burdens, given that they require longer travels or alternative transportation modes. Estimation results reveal that the choice of a mountain destination is not yet affected by extreme winter weather conditions. The result is valid for December 2015, as well as for the total winter season 2015/2016. However, December 2015 and 2016 exhibit a separate development with a significant increase in the likelihood of trips to non-mountains in Europe (mostly city breaks), although no traces of a direct substitution effect can be found. Younger and older people, as well as women, are less likely to go on a winter trip to the mountains. Residents with a tertiary degree and students are more interested in this, as well as large travel groups.

scholarly journals Developing a Department of Transportation Winter Severity Index

2019 ◽  
Vol 58 (8) ◽  
pp. 1779-1798 ◽  
Author(s):  
Curtis L. Walker ◽  
Dylan Steinkruger ◽  
Pouya Gholizadeh ◽  
Sogand Hasanzedah ◽  
Mark R. Anderson ◽  
...  
Keyword(s):  
Winter Season ◽  
Weather Conditions ◽  
Severity Index ◽  
Meteorological Variables ◽  
Atmospheric Conditions ◽  
Department Of Transportation ◽  
Weather Sensitivity ◽  
Adverse Weather ◽  
Vehicular Crashes ◽  
Winter Severity

AbstractAdverse weather conditions are responsible for millions of vehicular crashes, thousands of deaths, and billions of dollars per year in economic and congestion costs. Many transportation agencies utilize a performance or mobility metric to assess how well they maintain road access; however, there is only limited consideration of meteorological impacts to the success of their operations. This research develops the Nebraska winter severity index (NEWINS), which is a daily event-driven index derived for the Nebraska Department of Transportation (NDOT). The NEWINS includes a categorical storm classification framework to capture atmospheric conditions and possible road impacts across diverse spatial regions of Nebraska. A 10-yr (2006–16) winter season database of meteorological variables for Nebraska was obtained from the National Centers for Environmental Information. The NEWINS is based on a weighted linear combination applied to the collected storm classification database to measure severity. The NEWINS results were compared to other meteorological variables, many used in other agencies’ winter severity indices. This comparison verified the NEWINS robustness for the observed events for the 10-yr period. An assessment of the difference between days with observed snow versus days with accumulated snow revealed 39% fewer snow-accumulated days than snow-observed days. Furthermore, the NEWINS results highlighted the greater number of events during the 2009/10 winter season and the lack of events during the 2011/12 winter season. It is expected that the NEWINS could help transportation personnel allocate efficiently resources during adverse weather events. Moreover, the NEWINS framework can be used by other agencies to assess their weather sensitivity.

scholarly journals Testing of microencapsulated phase-change heat storage in experimental model houses under winter weather conditions

2021 ◽  
pp. 108119
Author(s):  
Bence Németh ◽  
Aurél Ujhidy ◽  
Judit Tóth ◽  
János Gyenis ◽  
Tivadar Feczkó
Keyword(s):  
Phase Change ◽  
Experimental Model ◽  
Heat Storage ◽  
Weather Conditions ◽  
Winter Weather

Machine learning analyses of remote sensing measurements establish strong relationships between vegetation and snow depth in the boreal forest of Interior Alaska

2021 ◽  
Author(s):  
Thomas Douglas ◽  
Caiyun Zhang
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Snow Depth ◽  
Spatial Scales ◽  
Critical Role ◽  
Winter Season ◽  
Thermal Conditions ◽  
Near Surface ◽  
Lidar Measurements ◽  
Remote Sensing Methods

The seasonal snowpack plays a critical role in Arctic and boreal hydrologic and ecologic processes. Though snow depth can be different from one season to another there are repeated relationships between ecotype and snowpack depth. Alterations to the seasonal snowpack, which plays a critical role in regulating wintertime soil thermal conditions, have major ramifications for near-surface permafrost. Therefore, relationships between vegetation and snowpack depth are critical for identifying how present and projected future changes in winter season processes or land cover will affect permafrost. Vegetation and snow cover areal extent can be assessed rapidly over large spatial scales with remote sensing methods, however, measuring snow depth remotely has proven difficult. This makes snow depth–vegetation relationships a potential means of assessing snowpack characteristics. In this study, we combined airborne hyperspectral and LiDAR data with machine learning methods to characterize relationships between ecotype and the end of winter snowpack depth. Our results show hyperspectral measurements account for two thirds or more of the variance in the relationship between ecotype and snow depth. An ensemble analysis of model outputs using hyperspectral and LiDAR measurements yields the strongest relationships between ecotype and snow depth. Our results can be applied across the boreal biome to model the coupling effects between vegetation and snowpack depth.

Winter weather conditions and myocardial infarctions

1991 ◽  
Vol 19 (1) ◽  
pp. 20-25 ◽  
Author(s):  
Carl-Göran Ohlson ◽  
Lennart Bodin ◽  
Ing-Liss Bryngelsson ◽  
Marie Helsing ◽  
Lars Malmberg
Keyword(s):  
Weather Conditions ◽  
Myocardial Infarctions ◽  
Winter Weather

scholarly journals Opportunities for winter prescribed burning in mixed conifer plantations of the Sierra Nevada

Fire Ecology ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Robert A. York ◽  
Jacob Levine ◽  
Kane Russell ◽  
Joseph Restaino
Keyword(s):  
Sierra Nevada ◽  
Pinus Ponderosa ◽  
Prescribed Burning ◽  
Winter Season ◽  
Basal Area ◽  
Weather Conditions ◽  
Shrub Cover ◽  
Mixed Conifer ◽  
Planted Forests ◽  
Conifer Plantations

Abstract Background Young, planted forests are particularly vulnerable to wildfire. High severity effects in planted forests translate to the loss of previous reforestation investments and the loss of future ecosystem service gains. We conducted prescribed burns in three ~35-year-old mixed conifer plantations that had previously been masticated and thinned during February in order to demonstrate the effectiveness of winter burning, which is not common in the Sierra Nevada, California. Results On average, 59% of fine fuels were consumed and the fires reduced shrub cover by 94%. The average percent of crown volume that was damaged was 25%, with no mortality observed in overstory trees 1 year following the fires. A plot level analysis of the factors of fire effects did not find strong predictors of fuel consumption. Shrub cover was reduced dramatically, regardless of the specific structure that existed in plots. We found a positive relationship between crown damage and the two variables of Pinus ponderosa relative basal area and shrub cover. But these were not particularly strong predictors. An analysis of the weather conditions that have occurred at this site over the past 20 years indicated that there have consistently been opportunities to conduct winter burns. On average, 12 days per winter were feasible for burning using our criteria. Windows of time are short, typically 1 or 2 days, and may occur at any time during the winter season. Conclusions This study demonstrates that winter burning can be an important piece of broader strategies to reduce wildfire severity in the Sierra Nevada. Preparing forest structures so that they can be more feasible to burn and also preparing burn programs so that they can be nimble enough to burn opportunistically during short windows are key strategies. Both small landowners and large agencies may be able to explore winter burning opportunities to reduce wildfire severity.

scholarly journals GEOMATIC TECHNIQUES FOR THE OPTIMIZATION OF SKI RESOURCES

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 1009-1016
Author(s):  
I. Aicardi ◽  
S. Angeli ◽  
N. Grasso ◽  
A. M. Lingua ◽  
P. Maschio
Keyword(s):  
Heat Waves ◽  
Low Cost ◽  
Winter Season ◽  
Heavy Rain ◽  
Weather Conditions ◽  
Fundamental Aspect ◽  
Carbon Neutrality ◽  
Aerial Vehicle ◽  
Gnss Receivers ◽  
Processing Techniques

Abstract. Climate change is already affecting the entire world, with extreme weather conditions such as drought, heat waves, heavy rain, floods and landslides becoming more frequent, including Europe. In according to Paris agreement and relative European announcement of Carbon neutrality (by 2050), the saving of water and energy supplies is a fundamental aspect in the management of resources in production, sports, hospitality facilities and so on. Some methodologies for the optimization of the consumption of natural resources are required. This article describes an activity aimed at measuring, monitoring and analysing the thickness of the snowpack on the ski slopes during the winter season to permit a sustainable approach of snowmaking in alpine ski areas . The authors propose a methodology based on the integration of multitemporal surface (ground/snow) survey by Autonomous Aerial Vehicle (AAV) and low cost GNSS receivers mounted on snow groomers for a RTK (Real Time Kinematic) solution. To obtain a complete snow surface digital models with poor detailed images on ski slopes, some pre-processing techniques have been analysed to locally improve contrast and details with a local high pass filtering. The methodology has been employed in two study areas (Limone Piemonte, Prato Nevoso) located in the province of Cuneo, in the southern alpine area of Piedmont.

scholarly journals Promising varieties of spring glumaceous oat of the mowing and grain-mowing directions, adapted to the natural and climatic conditions of the Volga-Vyatka region

2021 ◽  
Vol 36 ◽  
pp. 01003
Author(s):  
Elena Vologzhanina ◽  
Galina Batalova
Keyword(s):  
Weather Conditions ◽  
Climatic Conditions ◽  
High Yield ◽  
Positive Dependence ◽  
Green Mass ◽  
North East ◽  
The North ◽  
Temperature And Precipitation ◽  
Green Mass Yield ◽  
Favorable Conditions

The results of the study of 12 varieties and promising lines of glumaceous oat in the competitive variety testing of the FASC of the North-East (Kirov region) in the period from 2018 to 2020 are presented. The purpose of the research is to assess the productivity, ecological plasticity and stability of the genotypes of glumaceous oat for feed and universal use in the conditions of the Volga-Vyatka region. The dependences of grain yield and dry matter harvesting on the state of agro-climatic resources (HTC), temperature and precipitation are established. The contrasting weather conditions during the years of research allowed to conduct the most complete assessment of the studied genotypes. The most favorable conditions for the formation of a high yield of green mass of oat were formed in 2020 (Ij=3.76), grain - in 2019 (Ij=1.35). The average degree of positive dependence of green mass yield on the height of oat plants was revealed (r=0.51). The variety of the high-intensity type of the universal direction Medved, promising lines of the mowing direction (178h13 and 245h14) are distinguished.

scholarly journals Vertical Distribution of Arthropod Assemblages and the Effects of Weather Conditions on Arthropod Rain in a Temperate Conifer Forest

2021 ◽  
Vol 4 ◽  
Author(s):  
Tomohiro Yoshida ◽  
Yasunori Kusunoki ◽  
Yuya Fukano ◽  
Naoki Hijii
Keyword(s):  
Vertical Distribution ◽  
Weather Conditions ◽  
Vertical Stratification ◽  
Food Sources ◽  
Conifer Forest ◽  
Additional Food ◽  
Temperature And Precipitation ◽  
Taxonomic Groups ◽  
Forest Arthropods ◽  
Pan Traps

Vertical stratification of forests results in the occurrence of different arthropod assemblages between the vertical layers. Fallen arthropods from the canopy layers (i.e., “arthropod rain”) are additional food sources for predators thriving on the forest floor (FF). However, the abundances of arthropods are strongly affected by weather conditions and vertical stratification. Therefore, in this study, we investigated the vertical distribution of arthropod assemblages and effects of temperature and precipitation on the arthropod rain in a temperate conifer (Cryptomeria japonica) forest. Arthropods were collected by water-pan traps and trunk-sticky traps in the upper canopy (UC; 16 m), lower canopy (10 m), and FF (0.5 m). Among the fallen arthropods collected by water-pan traps, wandering detritivores, and herbivores were more abundant ranging from the FF to the UC, whereas the abundance of wandering predators (mainly spiders) was similar in the upper and lower canopies. However, detritivores, herbivores, and predators showed the highest abundance in the UC among the flying arthropods. Wandering arthropods moved upward from the FF toward the tree trunks more frequently than downward, indicating the importance of arthropod immigration from the ground to arboreal habitats. Temperature and precipitation had different effects on fallen and moving arthropods among different taxonomic groups. Flying arthropods were affected only by temperature, while wandering detritivores and herbivores were affected by precipitation and temperature. Thus, the abundance of wandering and flying arthropods differed among the vertical layers of a temperate conifer forest; additionally, arthropod rain was closely associated with weather conditions.

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