Jutila, Arttu (2023): Snow specific surface area (SSA) calibration measurements during the ALERT2018 campaign [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.960158, In: Jutila, A (2023): Snow measurements during the ALERT2018 campaign [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.960140
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Abstract:
The IceCube is a commercial instrument manufactured by A2 Photonic Sensors that provides specific surface area (SSA). The IceCube measures hemispherical reflectance of a snow sample by illuminating it using a laser diode at a wavelength of 1310 nm. The reflectance is recorded as voltage using a signal-to-reflectance relationship. From the recorded reflectance, SSA is obtained using a radiative transfer model. To obtain reliable SSA values, a smooth surface of the snow sample is required. In some cases, e.g. for brittle depth hoar or large grains, it may be difficult to ensure a flat surface and instead hollows or out sticking grains may occur, increasing the uncertainty of the measurement. The IceCube instrument is calibrated first before each time it is used using six standards. These calibration measurements were obtained in connection to classical snow pits during the ALERT2018 campaign in May 2018 over the sea ice in the Lincoln Sea.
Keyword(s):
Supplement to:
Jutila, Arttu; Haas, Christian (2023): C and K band microwave penetration into snow on sea ice studied with off-the-shelf tank radars. Annals of Glaciology, 1-11, https://doi.org/10.1017/aog.2023.47
Related to:
Jutila, Arttu (2023): Snow specific surface area (SSA) measurements during the ALERT2018 campaign. PANGAEA, https://doi.org/10.1594/PANGAEA.960152
Project(s):
Sea Ice Physics @ AWI (AWI_SeaIce)
Coverage:
Median Latitude: 82.572943 * Median Longitude: -62.459357 * South-bound Latitude: 82.562700 * West-bound Longitude: -62.479800 * North-bound Latitude: 82.577600 * East-bound Longitude: -62.426100
Date/Time Start: 2018-05-12T18:15:00 * Date/Time End: 2018-05-22T14:00:00
Event(s):
ALERT2018_1_FYIbuoy * Latitude: 82.576000 * Longitude: -62.472300 * Date/Time: 2018-05-12T18:15:00 * Campaign: ALERT2018 * Basis: Sampling on land * Method/Device: Snow pit (SNOWPIT)
ALERT2018_2_MYIbuoy * Latitude: 82.575300 * Longitude: -62.464500 * Date/Time: 2018-05-14T16:40:00 * Campaign: ALERT2018 * Basis: Sampling on land * Method/Device: Snow pit (SNOWPIT)
ALERT2018_3_FYIOIB * Latitude: 82.577600 * Longitude: -62.469400 * Date/Time: 2018-05-16T16:40:00 * Campaign: ALERT2018 * Basis: Sampling on land * Method/Device: Snow pit (SNOWPIT)
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Jutila, Arttu | |||
| 2 | DATE/TIME | Date/Time | Jutila, Arttu | Geocode | ||
| 3 | LATITUDE | Latitude | Jutila, Arttu | Geocode | ||
| 4 | LONGITUDE | Longitude | Jutila, Arttu | Geocode | ||
| 5 | Number | n | # | Jutila, Arttu | Standard number | |
| 6 | Signal | Signal | mV | Jutila, Arttu | Specific surface area (SSA) analyzer, A2 Photonic Sensors, IceCube | |
| 7 | Reflectance | Refl | % | Jutila, Arttu | Specific surface area (SSA) analyzer, A2 Photonic Sensors, IceCube | |
| 8 | Calibration | Calibration | Jutila, Arttu | Specific surface area (SSA) analyzer, A2 Photonic Sensors, IceCube | Calibration quality | |
| 9 | Residue | residue | Jutila, Arttu | Specific surface area (SSA) analyzer, A2 Photonic Sensors, IceCube | Overall residue for polynomial fit | |
| 10 | Background signal | Background | mV | Jutila, Arttu | Specific surface area (SSA) analyzer, A2 Photonic Sensors, IceCube | |
| 11 | Collimated photons, fraction | frac coll photons | Jutila, Arttu | Specific surface area (SSA) analyzer, A2 Photonic Sensors, IceCube | ||
| 12 | Reflectance | Refl | Jutila, Arttu | Specific surface area (SSA) analyzer, A2 Photonic Sensors, IceCube | Reflectance of sphere wall | |
| 13 | Gain | Gain | Jutila, Arttu | Specific surface area (SSA) analyzer, A2 Photonic Sensors, IceCube | Electronics gain |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
378 data points
Data
| 1 Event | 2 Date/Time | 3 Latitude | 4 Longitude | 5 n [#] | 6 Signal [mV] | 7 Refl [%] | 8 Calibration | 9 residue | 10 Background [mV] | 11 frac coll photons | 12 Refl | 13 Gain |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ALERT2018_1_FYIbuoy | 2018-05-12T18:15:00 | 82.5760 | -62.4723 | 1 | 90.2 | 8.00 | Excellent | 9.27856 | 0.0 | 0.962 | 0.9899 | 1502 |
| ALERT2018_1_FYIbuoy | 2018-05-12T18:15:00 | 82.5760 | -62.4723 | 2 | 121.7 | 11.46 | Excellent | 9.27856 | 0.0 | 0.962 | 0.9899 | 1502 |
| ALERT2018_1_FYIbuoy | 2018-05-12T18:15:00 | 82.5760 | -62.4723 | 3 | 250.4 | 25.12 | Excellent | 9.27856 | 0.0 | 0.962 | 0.9899 | 1502 |
| ALERT2018_1_FYIbuoy | 2018-05-12T18:15:00 | 82.5760 | -62.4723 | 4 | 561.0 | 50.94 | Excellent | 9.27856 | 0.0 | 0.962 | 0.9899 | 1502 |
| ALERT2018_1_FYIbuoy | 2018-05-12T18:15:00 | 82.5760 | -62.4723 | 5 | 892.6 | 70.32 | Excellent | 9.27856 | 0.0 | 0.962 | 0.9899 | 1502 |
| ALERT2018_1_FYIbuoy | 2018-05-12T18:15:00 | 82.5760 | -62.4723 | 6 | 1645.7 | 98.29 | Excellent | 9.27856 | 0.0 | 0.962 | 0.9899 | 1502 |
| ALERT2018_2_MYIbuoy | 2018-05-14T16:40:00 | 82.5753 | -62.4645 | 1 | 89.7 | 8.00 | Excellent | 17.94050 | 0.0 | 0.962 | 0.9898 | 1502 |
| ALERT2018_2_MYIbuoy | 2018-05-14T16:40:00 | 82.5753 | -62.4645 | 2 | 121.5 | 11.46 | Excellent | 17.94050 | 0.0 | 0.962 | 0.9898 | 1502 |
| ALERT2018_2_MYIbuoy | 2018-05-14T16:40:00 | 82.5753 | -62.4645 | 3 | 249.5 | 25.12 | Excellent | 17.94050 | 0.0 | 0.962 | 0.9898 | 1502 |
| ALERT2018_2_MYIbuoy | 2018-05-14T16:40:00 | 82.5753 | -62.4645 | 4 | 556.2 | 50.94 | Excellent | 17.94050 | 0.0 | 0.962 | 0.9898 | 1502 |
| ALERT2018_2_MYIbuoy | 2018-05-14T16:40:00 | 82.5753 | -62.4645 | 5 | 888.5 | 70.32 | Excellent | 17.94050 | 0.0 | 0.962 | 0.9898 | 1502 |
| ALERT2018_2_MYIbuoy | 2018-05-14T16:40:00 | 82.5753 | -62.4645 | 6 | 1633.0 | 98.29 | Excellent | 17.94050 | 0.0 | 0.962 | 0.9898 | 1502 |
| ALERT2018_3_FYIOIB | 2018-05-16T16:40:00 | 82.5776 | -62.4694 | 1 | 89.4 | 8.00 | Poor | 522.20000 | 46.0 | 0.999 | 0.9908 | 1341 |
| ALERT2018_3_FYIOIB | 2018-05-16T16:40:00 | 82.5776 | -62.4694 | 2 | 120.2 | 11.46 | Poor | 522.20000 | 46.0 | 0.999 | 0.9908 | 1341 |
| ALERT2018_3_FYIOIB | 2018-05-16T16:40:00 | 82.5776 | -62.4694 | 3 | 247.4 | 25.12 | Good | 522.20000 | 46.0 | 0.999 | 0.9908 | 1341 |
| ALERT2018_3_FYIOIB | 2018-05-16T16:40:00 | 82.5776 | -62.4694 | 4 | 553.7 | 50.94 | Excellent | 522.20000 | 46.0 | 0.999 | 0.9908 | 1341 |
| ALERT2018_3_FYIOIB | 2018-05-16T16:40:00 | 82.5776 | -62.4694 | 5 | 881.6 | 70.32 | Good | 522.20000 | 46.0 | 0.999 | 0.9908 | 1341 |
| ALERT2018_3_FYIOIB | 2018-05-16T16:40:00 | 82.5776 | -62.4694 | 6 | 1623.5 | 98.29 | Excellent | 522.20000 | 46.0 | 0.999 | 0.9908 | 1341 |
| ALERT2018_4_MYIOIB | 2018-05-18T16:15:00 | 82.5749 | -62.4611 | 1 | 89.3 | 8.00 | Poor | 570.65800 | 46.2 | 0.999 | 0.9908 | 1343 |
| ALERT2018_4_MYIOIB | 2018-05-18T16:15:00 | 82.5749 | -62.4611 | 2 | 119.0 | 11.46 | Poor | 570.65800 | 46.2 | 0.999 | 0.9908 | 1343 |
| ALERT2018_4_MYIOIB | 2018-05-18T16:15:00 | 82.5749 | -62.4611 | 3 | 248.2 | 25.12 | Good | 570.65800 | 46.2 | 0.999 | 0.9908 | 1343 |
| ALERT2018_4_MYIOIB | 2018-05-18T16:15:00 | 82.5749 | -62.4611 | 4 | 554.9 | 50.94 | Excellent | 570.65800 | 46.2 | 0.999 | 0.9908 | 1343 |
| ALERT2018_4_MYIOIB | 2018-05-18T16:15:00 | 82.5749 | -62.4611 | 5 | 882.8 | 70.32 | Good | 570.65800 | 46.2 | 0.999 | 0.9908 | 1343 |
| ALERT2018_4_MYIOIB | 2018-05-18T16:15:00 | 82.5749 | -62.4611 | 6 | 1626.1 | 98.29 | Excellent | 570.65800 | 46.2 | 0.999 | 0.9908 | 1343 |
| ALERT2018_5_MYIOIBfloenorth | 2018-05-21T13:45:00 | 82.5685 | -62.4423 | 1 | 89.6 | 8.00 | Poor | 599.60600 | 47.1 | 0.999 | 0.9908 | 1347 |
| ALERT2018_5_MYIOIBfloenorth | 2018-05-21T13:45:00 | 82.5685 | -62.4423 | 2 | 120.1 | 11.46 | Poor | 599.60600 | 47.1 | 0.999 | 0.9908 | 1347 |
| ALERT2018_5_MYIOIBfloenorth | 2018-05-21T13:45:00 | 82.5685 | -62.4423 | 3 | 249.5 | 25.12 | Good | 599.60600 | 47.1 | 0.999 | 0.9908 | 1347 |
| ALERT2018_5_MYIOIBfloenorth | 2018-05-21T13:45:00 | 82.5685 | -62.4423 | 4 | 556.3 | 50.94 | Excellent | 599.60600 | 47.1 | 0.999 | 0.9908 | 1347 |
| ALERT2018_5_MYIOIBfloenorth | 2018-05-21T13:45:00 | 82.5685 | -62.4423 | 5 | 886.1 | 70.32 | Good | 599.60600 | 47.1 | 0.999 | 0.9908 | 1347 |
| ALERT2018_5_MYIOIBfloenorth | 2018-05-21T13:45:00 | 82.5685 | -62.4423 | 6 | 1631.7 | 98.29 | Excellent | 599.60600 | 47.1 | 0.999 | 0.9908 | 1347 |
| ALERT2018_6_MYIOIBfloesouth | 2018-05-21T17:40:00 | 82.5627 | -62.4261 | 1 | 88.5 | 8.00 | Poor | 527.77100 | 46.9 | 0.999 | 0.9905 | 1323 |
| ALERT2018_6_MYIOIBfloesouth | 2018-05-21T17:40:00 | 82.5627 | -62.4261 | 2 | 118.6 | 11.46 | Poor | 527.77100 | 46.9 | 0.999 | 0.9905 | 1323 |
| ALERT2018_6_MYIOIBfloesouth | 2018-05-21T17:40:00 | 82.5627 | -62.4261 | 3 | 242.8 | 25.12 | Good | 527.77100 | 46.9 | 0.999 | 0.9905 | 1323 |
| ALERT2018_6_MYIOIBfloesouth | 2018-05-21T17:40:00 | 82.5627 | -62.4261 | 4 | 542.3 | 50.94 | Excellent | 527.77100 | 46.9 | 0.999 | 0.9905 | 1323 |
| ALERT2018_6_MYIOIBfloesouth | 2018-05-21T17:40:00 | 82.5627 | -62.4261 | 5 | 854.6 | 70.32 | Good | 527.77100 | 46.9 | 0.999 | 0.9905 | 1323 |
| ALERT2018_6_MYIOIBfloesouth | 2018-05-21T17:40:00 | 82.5627 | -62.4261 | 6 | 1564.9 | 98.29 | Excellent | 527.77100 | 46.9 | 0.999 | 0.9905 | 1323 |
| ALERT2018_7_FYItransect | 2018-05-22T14:00:00 | 82.5756 | -62.4798 | 1 | 88.2 | 8.00 | Poor | 566.47300 | 46.1 | 0.999 | 0.9907 | 1338 |
| ALERT2018_7_FYItransect | 2018-05-22T14:00:00 | 82.5756 | -62.4798 | 2 | 119.6 | 11.46 | Poor | 566.47300 | 46.1 | 0.999 | 0.9907 | 1338 |
| ALERT2018_7_FYItransect | 2018-05-22T14:00:00 | 82.5756 | -62.4798 | 3 | 247.4 | 25.12 | Good | 566.47300 | 46.1 | 0.999 | 0.9907 | 1338 |
| ALERT2018_7_FYItransect | 2018-05-22T14:00:00 | 82.5756 | -62.4798 | 4 | 549.8 | 50.94 | Excellent | 566.47300 | 46.1 | 0.999 | 0.9907 | 1338 |
| ALERT2018_7_FYItransect | 2018-05-22T14:00:00 | 82.5756 | -62.4798 | 5 | 876.2 | 70.32 | Fair | 566.47300 | 46.1 | 0.999 | 0.9907 | 1338 |
| ALERT2018_7_FYItransect | 2018-05-22T14:00:00 | 82.5756 | -62.4798 | 6 | 1606.8 | 98.29 | Excellent | 566.47300 | 46.1 | 0.999 | 0.9907 | 1338 |