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Li, Xingdong; Long, Di; Huang, Qi; Han, Pengfei; Zhao, Fanyu; Wada, Yoshihide (2019): Water level and storage changes of Gozha Co lake during 2000‒2017 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.898511, 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):
Google Earth Engine; Lake water storage; Landsat archives; Optical water level; Satellite altimetry; The Tibetan Plateau
Coverage:
Latitude: 35.028300 * Longitude: 81.098600
Date/Time Start: 2001-10-20T00:00:00 * Date/Time End: 2018-07-23T00:00:00
Event(s):
Gozha_Co (Gozha Co) * Latitude: 35.028300 * Longitude: 81.098600 * Method/Device: Satellite altimetry (SALT)
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 EGM08, 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):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
DATE/TIMEDate/TimeLi, XingdongGeocode – Date
Water levelWLmLi, XingdongSatellite altimetry (SALT)with respect to EGM08, WGS84
Water level, uncertaintyWL unc±Li, XingdongSatellite altimetry (SALT)
Water volume changeWater vol changekm3Li, XingdongCalculatedLake volume change
Provenance/sourceSourceLi, XingdongData source flag (0 - Landsat, 1 - Envisat, 2 - ICESat, 3 - CryoSat, 4 - Jason)
Size:
660 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Date/Time

WL [m]

WL unc [±]

Water vol change [km3]

Source
2001-10-205082.900.000.230
2002-07-115082.270.240.071
2002-09-195081.770.14-0.061
2002-10-245081.460.20-0.141
2002-11-245083.020.000.260
2002-11-285083.560.130.401
2003-02-065081.660.20-0.091
2003-03-135081.330.17-0.171
2003-06-265082.370.200.091
2003-07-315083.140.150.291
2003-10-085083.450.100.372
2003-11-135082.210.220.051
2003-11-275082.660.000.170
2004-02-265083.710.170.441
2004-04-015083.590.190.411
2004-05-065083.860.100.481
2004-06-105083.450.230.371
2004-08-195081.990.160.001
2004-12-155082.870.000.220
2005-09-295082.660.000.170
2005-11-165082.660.000.170
2005-12-025082.950.000.240
2006-11-035082.070.000.020
2006-11-195083.500.000.380
2006-12-215083.380.000.350
2007-01-065082.900.000.230
2007-03-225083.660.240.421
2007-04-265083.300.240.331
2007-09-135083.640.160.421
2007-09-275082.660.000.170
2007-11-065083.020.000.260
2008-02-265082.780.000.200
2008-04-105083.260.210.321
2008-04-305083.140.000.290
2008-06-175083.860.000.480
2008-07-245082.720.200.181
2008-10-025082.680.250.171
2008-11-065082.020.220.011
2008-11-165082.780.000.200
2008-12-025082.900.000.230
2009-01-035083.260.000.320
2009-01-195083.380.000.350
2009-02-195084.430.220.621
2009-03-265081.940.20-0.021
2009-05-275083.740.000.440
2009-06-045082.300.190.081
2009-07-095083.910.130.491
2009-08-135083.130.150.291
2009-08-155083.020.000.260
2009-09-165082.540.000.140
2009-09-175082.510.150.131
2009-11-035082.780.000.200
2009-11-275082.070.000.020
2009-12-315083.750.140.451
2010-02-235083.140.000.290
2010-03-115082.570.200.141
2010-03-275082.900.000.230
2010-04-155083.940.200.501
2010-04-285083.260.000.320
2010-05-205082.730.160.191
2010-11-035083.310.140.333
2010-11-065083.020.000.260
2010-11-305083.020.000.260
2011-02-105083.260.000.320
2011-03-065083.020.000.260
2011-04-215083.180.130.303
2011-05-175083.380.000.350
2011-06-145082.920.190.243
2011-07-125083.740.000.440
2011-10-055083.360.120.353
2011-11-095083.140.000.290
2011-11-175082.780.000.200
2011-12-035082.660.000.170
2012-01-305082.890.160.233
2012-03-235082.920.200.243
2012-04-235083.090.200.283
2012-06-165083.000.160.253
2012-09-095083.850.080.473
2012-10-085083.380.150.353
2012-11-085083.180.090.303
2013-01-225084.100.000.540
2013-02-015083.090.180.283
2013-03-265082.900.170.233
2013-04-275083.030.130.263
2013-06-235083.500.000.380
2013-07-015082.780.000.200
2013-07-095083.380.000.350
2013-08-025083.260.000.320
2013-10-055082.300.000.080
2013-11-115083.040.110.273
2013-11-305082.780.000.200
2013-12-085082.300.000.080
2014-02-025083.140.000.290
2014-02-045084.020.210.523
2014-03-305082.710.170.183
2014-04-075083.020.000.260
2014-04-305082.920.150.233
2014-05-095083.860.000.480
2014-07-285083.140.000.290
2014-08-135083.140.000.290
2014-08-215082.780.000.200
2014-09-155083.390.010.353
2014-09-305082.900.000.230
2014-10-145082.940.130.243
2014-11-095082.420.000.110
2014-11-175082.780.000.200
2014-11-255083.040.000.270
2014-12-035082.900.000.230
2015-01-075082.710.180.183
2015-01-285083.020.000.260
2015-02-055083.020.000.260
2015-02-075083.150.200.293
2015-02-215083.020.000.260
2015-04-025082.700.150.183
2015-05-035082.820.070.213
2015-05-125083.740.000.440
2015-05-205083.510.000.390
2015-06-015082.960.180.243
2015-06-135083.860.000.480
2015-07-155083.500.000.380
2015-08-085083.380.000.350
2015-10-115082.540.000.140
2015-10-195082.900.000.230
2015-11-125082.660.000.170
2015-11-185082.940.140.243
2015-11-205082.660.000.170
2016-01-075083.380.000.350
2016-01-105082.920.130.233
2016-02-115083.790.150.463
2016-03-275083.380.000.350
2016-04-045082.580.150.153
2016-05-055082.880.150.233
2016-07-015083.260.000.320
2016-08-025083.140.000.290
2016-09-195083.020.000.260
2016-10-055082.900.000.230
2016-11-065083.140.000.290
2016-11-145082.900.000.230
2016-11-205083.100.190.283
2016-11-225082.660.000.170
2016-12-085082.780.000.200
2016-12-245083.140.000.290
2017-01-015082.730.000.190
2017-01-125082.830.170.213
2017-01-175083.260.000.320
2017-01-255083.140.000.290
2017-02-105083.620.000.410
2017-02-135082.890.120.233
2017-04-075082.670.150.173
2017-05-095082.990.110.253
2017-07-045083.260.000.320
2017-09-305082.660.000.170
2017-10-235083.150.140.293
2017-11-235082.990.130.253
2017-12-115083.380.000.350
2017-12-195083.380.000.350
2018-01-165082.830.170.213
2018-01-205083.140.000.290
2018-01-285083.020.000.260
2018-02-135082.780.000.200
2018-02-165083.080.200.273
2018-02-215082.780.000.200
2018-03-015083.260.000.320
2018-05-125082.860.110.223
2018-07-235083.260.000.320