Good, Walter (2011): Table 1: Parameters of 21 samples from core III of Vernagtferner [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.772125, Supplement to: Good, W (1982): Structural investigations of snow and ice on core III from the drilling on Vernagtferner, Austria, in 1979. Zeitschrift für Gletscherkunde und Glazialgeologie, 18(1), 53-64, hdl:10013/epic.38456.d001
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Abstract:
The purpose of this study was: (1) To make an attempt at finding a stratification of the snowpack in order to help remove ambiguities in dating the snowlayers by standard methods. (2) To verify the depth at which the transition between firn and ice occurs.
Clearly the first goal was missed, the structural information in a temperate firn being strongly smoothed out in time. Interesting details like horizontal ice lenses and layers of "cold snow" however, were revealed. In spite of strong variations of density, gravimetric density PG and ice density PI, computed from point density, are identical for the firn pack between Z = 2.0 m and 6.0 m. p(ice) = 0.522 ± 0.034 x 10**3 kg/m**3. The ice density of 0.8 x 10**3 kg/m**3, the assumed transition between firn and ice, was found to occur at a depth of Z= 19 m. Even at this level, rather important variations in density may be localized. Between Z= 19 m and 21 m, the ice density varies from 0.774 x 10**3 to 0.860 x 10**3 kg/m**3.
Coverage:
Latitude: 46.866660 * Longitude: 10.816660
Date/Time Start: 1982-01-01T00:00:00 * Date/Time End: 1982-01-01T00:00:00
Minimum DEPTH, ice/snow: 2.35 m * Maximum DEPTH, ice/snow: 6.26 m
Event(s):
Vernagtferner_I-VI * Latitude: 46.866660 * Longitude: 10.816660 * Date/Time: 1982-01-01T00:00:00 * Recovery: 80 m * Location: Vernagtferner, Ötztaler Alpen, Austria * Method/Device: Ice drill (ICEDRILL)
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | Number | No | Good, Walter | |||
2 | Sample code/label | Sample label | Good, Walter | |||
3 | DEPTH, ice/snow | Depth ice/snow | m | Geocode | ||
4 | Mean, statistical | Mean | Good, Walter | Point density | ||
5 | Variance | Var | Good, Walter | Point density | ||
6 | Minimum | Min | Good, Walter | Point density | ||
7 | Maximum | Max | Good, Walter | Point density | ||
8 | Mean, statistical | Mean | Good, Walter | Line intersects | ||
9 | Variance | Var | Good, Walter | Line intersects | ||
10 | Minimum | Min | Good, Walter | Line intersects | ||
11 | Maximum | Max | Good, Walter | Line intersects | ||
12 | Mean, statistical | Mean | Good, Walter | Grain intercept | ||
13 | Variance | Var | Good, Walter | Grain intercept | ||
14 | Minimum | Min | Good, Walter | Grain intercept | ||
15 | Maximum | Max | Good, Walter | Grain intercept | ||
16 | Mean, statistical | Mean | Good, Walter | Void intercept | ||
17 | Variance | Var | Good, Walter | Void intercept | ||
18 | Minimum | Min | Good, Walter | Void intercept | ||
19 | Maximum | Max | Good, Walter | Void intercept |
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
378 data points
Data
1 No | 2 Sample label | 3 Depth ice/snow [m] | 4 Mean (Point density) | 5 Var (Point density) | 6 Min (Point density) | 7 Max (Point density) | 8 Mean (Line intersects) | 9 Var (Line intersects) | 10 Min (Line intersects) | 11 Max (Line intersects) | 12 Mean (Grain intercept) | 13 Var (Grain intercept) | 14 Min (Grain intercept) | 15 Max (Grain intercept) | 16 Mean (Void intercept) | 17 Var (Void intercept) | 18 Min (Void intercept) | 19 Max (Void intercept) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Vernagt 1b | 2.35 | 0.5516700 | 0.0735456 | 0.3222700 | 0.7226600 | 0.0857010 | 0.0095701 | 0.0605469 | 0.1132800 | 12.9830000 | 2.3538000 | 7.4615000 | 19.8890000 | 10.6440000 | 2.2003000 | 6.0417000 | 21.2500000 |
2 | Vernagt 2c | 3.36 | 0.5466100 | 0.0808035 | 0.2910200 | 0.7441400 | 0.0580940 | 0.0081077 | 0.0312500 | 0.0859375 | 19.1910000 | 3.9976000 | 10.2940000 | 43.2500000 | 15.9310000 | 3.8761000 | 7.8235000 | 30.2500000 |
3 | Vernagt 3a | 3.43 | 0.5049700 | 0.0849703 | 0.3125000 | 0.6738300 | 0.0631142 | 0.0098975 | 0.0390625 | 0.0957031 | 16.0900000 | 2.6473000 | 10.5650000 | 24.9090000 | 16.3850000 | 4.7389000 | 8.7895000 | 30.5000000 |
4 | Vernagt 3c | 3.98 | 0.6058000 | 0.1052500 | 0.3828100 | 0.9375000 | 0.0559387 | 0.0115590 | 0.0117187 | 0.0839844 | 25.1140000 | 20.8790000 | 11.2110000 | 160.0000000 | 14.1830000 | 3.2431000 | 6.5000000 | 25.7000000 |
5 | Vernagt 5b | 4.97 | 0.5771200 | 0.0843730 | 0.3535200 | 0.7636700 | 0.0506592 | 0.0076454 | 0.0332031 | 0.0800781 | 23.6090000 | 5.1656000 | 13.1760000 | 45.0000000 | 16.9240000 | 4.6235000 | 8.0625000 | 36.7780000 |
6 | Vernagt 4b | 4.33 | 0.5700900 | 0.0696316 | 0.3964800 | 0.7363300 | 0.0622368 | 0.0085584 | 0.0390625 | 0.0898437 | 18.8990000 | 4.1542000 | 11.7830000 | 37.6000000 | 13.9250000 | 2.7128000 | 7.5789000 | 23.2310000 |
7 | Vernagt 4c | 4.54 | 0.6526900 | 0.0908054 | 0.4433600 | 0.9296900 | 0.0505714 | 0.0098902 | 0.0195312 | 0.0761719 | 27.5320000 | 10.4750000 | 14.4740000 | 86.4000000 | 13.9540000 | 3.7258000 | 5.0000000 | 26.8890000 |
8 | Vernagt 5a | 4.75 | 0.6252400 | 0.1068000 | 0.3671900 | 0.9101600 | 0.0500946 | 0.0103410 | 0.0136719 | 0.0761719 | 27.0910000 | 13.1310000 | 12.5000000 | 147.3300000 | 15.2770000 | 4.2757000 | 5.3000000 | 31.9000000 |
9 | Vernagt 5c | 5.18 | 0.5573800 | 0.0821524 | 0.3457000 | 0.7324200 | 0.0486145 | 0.0075034 | 0.0292969 | 0.0683594 | 23.2980000 | 4.0814000 | 15.7060000 | 39.0000000 | 18.8570000 | 5.4723000 | 10.2500000 | 41.0000000 |
10 | Vernagt 6a | 5.39 | 0.5436900 | 0.0915857 | 0.2539100 | 0.7988300 | 0.0436516 | 0.0091864 | 0.0117187 | 0.0683594 | 26.0810000 | 7.2405000 | 12.3330000 | 58.0000000 | 22.3280000 | 10.1970000 | 9.7500000 | 125.0000000 |
11 | Vernagt 6b | 5.61 | 0.5420600 | 0.0664795 | 0.3925800 | 0.7226600 | 0.0414505 | 0.0084003 | 0.0195312 | 0.0703125 | 27.1470000 | 7.4773000 | 15.1110000 | 59.8000000 | 23.5000000 | 6.8205000 | 10.5630000 | 47.0000000 |
12 | Vernagt 7b | 6.26 | 0.5829100 | 0.0788100 | 0.4101600 | 0.7695300 | 0.0403061 | 0.0065531 | 0.0136719 | 0.0585937 | 29.9550000 | 7.4216000 | 17.2000000 | 120.0000000 | 21.2620000 | 5.8639000 | 10.3330000 | 40.4290000 |
13 | Vernagt 1c | 2.57 | 0.5583200 | 0.0843047 | 0.2812500 | 0.7793000 | 0.0837784 | 0.0104736 | 0.0429687 | 0.1113300 | 13.4190000 | 2.4508000 | 8.2105000 | 23.1430000 | 10.8620000 | 3.2329000 | 5.8571000 | 33.0910000 |
14 | Vernagt 2a | 2.81 | 0.5969100 | 0.0871364 | 0.3535200 | 0.8027300 | 0.0572281 | 0.0084742 | 0.0273437 | 0.0839844 | 21.2870000 | 5.1047000 | 9.5455000 | 41.2220000 | 14.4980000 | 3.9164000 | 7.5000000 | 35.4290000 |
15 | Vernagt 7a | 6.05 | 0.5819500 | 0.1220900 | 0.2382800 | 0.8906200 | 0.0378494 | 0.0081229 | 0.0117187 | 0.0664062 | 32.3220000 | 13.8490000 | 13.2000000 | 114.0000000 | 23.5620000 | 9.2947000 | 7.8000000 | 59.0000000 |
16 | Vernagt 4a V4 | 4.20 | 0.5928400 | 0.0647056 | 0.4257800 | 0.7832000 | 0.0628281 | 0.0107740 | 0.0351562 | 0.0878906 | 19.6660000 | 5.1304000 | 11.4500000 | 36.4550000 | 13.2480000 | 2.6976000 | 8.4286000 | 26.2220000 |
17 | F3 BY2 NEG6 | 3.73 | 0.5553000 | 0.1436600 | 0.2929700 | 0.9003900 | 0.0415611 | 0.0117223 | 0.0097656 | 0.0683594 | 34.3320000 | 32.6110000 | 12.1880000 | 221.0000000 | 21.8550000 | 7.2925000 | 9.3333000 | 49.2860000 |
18 | F3 BY3 NEG8 | 3.76 | 0.5032800 | 0.0786871 | 0.2871100 | 0.6640500 | 0.0454597 | 0.0076073 | 0.0253906 | 0.0664062 | 22.3840000 | 4.4287000 | 12.2000000 | 35.7500000 | 23.0110000 | 6.7237000 | 11.4670000 | 60.3330000 |
19 | F6CV2 NEG 1 | 5.87 | 0.5563400 | 0.1141700 | 0.1523400 | 0.7714800 | 0.0385742 | 0.0099140 | 0.0156250 | 0.0742187 | 30.2010000 | 8.3813000 | 9.3333000 | 60.4000000 | 25.4480000 | 13.8480000 | 11.7890000 | 107.7500000 |
20 | F6CV3 NEG 1 | 5.90 | 0.6074600 | 0.0872063 | 0.3925800 | 0.7988300 | 0.0472450 | 0.0081888 | 0.0273437 | 0.0722656 | 26.9110000 | 6.6370000 | 13.7330000 | 56.0000000 | 16.9230000 | 4.6288000 | 7.9231000 | 32.5560000 |
21 | F2BV2 NEG 1 | 3.04 | 0.5353000 | 0.0706453 | 0.3183600 | 0.7324200 | 0.0767479 | 0.0084754 | 0.0488281 | 0.0976562 | 14.1460000 | 2.6949000 | 8.9565000 | 24.5710000 | 12.2710000 | 2.4413000 | 7.0000000 | 29.0000000 |