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| Description
| - Snow cover parameters are studied in the basin of the Sance water reservoir in the Moravian-Silesian Beskids (Czech Republic). The location is overlaid with a regular 2x2 kin square grid along the axes of a coordinate system of a single trigonometric cadastral network. In each of the total of 52 squares at least one sample plot is established comprising of two types of subplots: open plots and plots under adjacent forest. The studied parameters include snowpack depth, snow density and snow water equivalent. Depth is measured directly on the plots and the two other characteristics are calculated additionally using the directly measured parameters (depth and weight of the snow samples taken). Snowpack depth is measured 20 times on each plot with precision to 1 cm. For calculating;now density and snow water equivalent 2-5 samples of snow are taken and their corresponding values are determined on the basis of sample depth with precision to 1 cm, calibration volume of the sampling cylinder (precision to 0.051), and weight (to 0.01 kg). The purpose of this article is to evaluate the accuracy of the measuring of snow cover using jittering method on forest as well as unforested plots to get accurate data for evaluation of snow damage to forests. The analysis demonstrated local variability of snowpack depth on the order of centimeters. Only exceptionally does the SD value exceed 10 cm. The coefficient of variation reaches high values only at the lowest values of snowpack depth, where the standard deviation is no more than a few centimeters. A procedure for eliminating maximum and minimum measured values reduces the variability significantly but has practically negligible influence on the mean snowpack depth. Nearly all indicators of snow depth variability correlate with the mean snowpack depth.
- Snow cover parameters are studied in the basin of the Sance water reservoir in the Moravian-Silesian Beskids (Czech Republic). The location is overlaid with a regular 2x2 kin square grid along the axes of a coordinate system of a single trigonometric cadastral network. In each of the total of 52 squares at least one sample plot is established comprising of two types of subplots: open plots and plots under adjacent forest. The studied parameters include snowpack depth, snow density and snow water equivalent. Depth is measured directly on the plots and the two other characteristics are calculated additionally using the directly measured parameters (depth and weight of the snow samples taken). Snowpack depth is measured 20 times on each plot with precision to 1 cm. For calculating;now density and snow water equivalent 2-5 samples of snow are taken and their corresponding values are determined on the basis of sample depth with precision to 1 cm, calibration volume of the sampling cylinder (precision to 0.051), and weight (to 0.01 kg). The purpose of this article is to evaluate the accuracy of the measuring of snow cover using jittering method on forest as well as unforested plots to get accurate data for evaluation of snow damage to forests. The analysis demonstrated local variability of snowpack depth on the order of centimeters. Only exceptionally does the SD value exceed 10 cm. The coefficient of variation reaches high values only at the lowest values of snowpack depth, where the standard deviation is no more than a few centimeters. A procedure for eliminating maximum and minimum measured values reduces the variability significantly but has practically negligible influence on the mean snowpack depth. Nearly all indicators of snow depth variability correlate with the mean snowpack depth. (en)
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| Title
| - Expeditionary measurements of snow in extensively forested Carpathian Mountains: evaluating parameters variability
- Expeditionary measurements of snow in extensively forested Carpathian Mountains: evaluating parameters variability (en)
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| skos:prefLabel
| - Expeditionary measurements of snow in extensively forested Carpathian Mountains: evaluating parameters variability
- Expeditionary measurements of snow in extensively forested Carpathian Mountains: evaluating parameters variability (en)
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| skos:notation
| - RIV/00020702:_____/11:#0000579!RIV12-MZE-00020702
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
| - I, P(QH81334), Z(MSM6215648902)
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| http://linked.open...iv/cisloPeriodika
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
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| http://linked.open...ai/riv/idVysledku
| - RIV/00020702:_____/11:#0000579
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| http://linked.open...riv/jazykVysledku
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| http://linked.open.../riv/klicovaSlova
| - snow; depth; water equivalent; density; precision; variability (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...odStatuVydavatele
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...i/riv/nazevZdroje
| - Carpathian Journal of Earth and Environmental
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| http://linked.open...in/vavai/riv/obor
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| http://linked.open...ichTvurcuVysledku
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| http://linked.open...cetTvurcuVysledku
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| http://linked.open...vavai/riv/projekt
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| http://linked.open...UplatneniVysledku
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| http://linked.open...v/svazekPeriodika
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| http://linked.open...iv/tvurceVysledku
| - Drápela, Karel
- Holuša, Jaroslav
- Křístek, Štěpán
- Trombik, Jiří
- Urbaňcová, Naděžda
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| http://linked.open...ain/vavai/riv/wos
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| http://linked.open...n/vavai/riv/zamer
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| issn
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| number of pages
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