Li, Xingdong; Long, Di; Huang, Qi; Han, Pengfei; Zhao, Fanyu; Wada, Yoshihide (2019): Water level and storage changes of Puma Yumco lake during 2000‒2017 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.898529, In supplement to: Li, X et al. (2019): High-temporal-resolution water level and storage change data sets for lakes on the Tibetan Plateau during 2000–2017 using multiple altimetric missions and Landsat-derived lake shoreline positions. Earth System Science Data, 11(4), 1603-1627, https://doi.org/10.5194/essd-11-1603-2019
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Keyword(s):
Coverage:
Latitude: 28.567800 * Longitude: 90.387300
Date/Time Start: 2000-03-14T00:00:00 * Date/Time End: 2018-04-19T00:00:00
Event(s):
Comment:
Following information is included:
1) Date of the data acquisition time in the form of yyyy-mm-dd.
2) Lake water levels are orthometric heights with respect to EGM96, WGS84, in the unit of meter.
3) Uncertainty of the lake water level in the unit of meter, if it is altimetry water level. The uncertainty of optical water levels was not calculated and set to 0.
4) Lake water storage changes with respect to the baseline (lake water storage of the water level baseline H0, which is a value we do not exactly know; see https://doi.pangaea.de/10.1594/PANGAEA.898409) in the unit of km^3.
5) The source of the data, 0 - Landsat, 1 - Envisat, 2 - ICESat, 3 - CryoSat, 4 - Jason-1/2/3.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DATE/TIME | Date/Time | Li, Xingdong | Geocode – Date | ||
| 2 | Water level | WL | m | Li, Xingdong | Satellite altimetry (SALT) | with respect to EGM96, WGS84 |
| 3 | Water level, uncertainty | WL unc | ± | Li, Xingdong | Satellite altimetry (SALT) | |
| 4 | Water volume change | Water vol change | km3 | Li, Xingdong | Calculated | Lake volume change |
| 5 | Provenance/source | Source | Li, Xingdong | Data source flag (0 - Landsat, 1 - Envisat, 2 - ICESat, 3 - CryoSat, 4 - Jason) |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
1168 data points