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Li, Xingdong; Long, Di; Huang, Qi; Han, Pengfei; Zhao, Fanyu; Wada, Yoshihide (2019): Water level and storage changes of Xuru Co lake during 2000‒2017 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.898542, 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: 30.274000 * Longitude: 86.406800
Date/Time Start: 2000-02-09T00:00:00 * Date/Time End: 2018-05-27T00:00:00
Event(s):
Xuru_Co (Xuru Co) * Latitude: 30.274000 * Longitude: 86.406800 * 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 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):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
DATE/TIMEDate/TimeLi, XingdongGeocode – Date
Water levelWLmLi, XingdongSatellite altimetry (SALT)with respect to EGM96, 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:
640 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
2000-02-094713.950.00-0.010
2000-03-034715.190.000.250
2000-08-024715.170.000.240
2000-09-034715.520.000.310
2000-10-054715.570.000.330
2000-10-134715.410.000.290
2000-11-224714.950.000.200
2000-12-084714.630.000.130
2001-02-024715.170.000.240
2001-02-104714.650.000.130
2001-03-064714.840.000.170
2001-05-014715.600.000.330
2001-06-024715.140.000.240
2001-09-224716.630.000.540
2001-10-244716.280.000.470
2001-12-274715.440.000.300
2002-02-134715.760.000.360
2002-03-174716.140.000.440
2002-04-184716.030.000.420
2002-05-044715.630.000.340
2002-10-274716.200.000.450
2002-11-284715.490.000.310
2002-12-304715.650.000.340
2003-02-164716.220.000.460
2003-03-044716.200.000.450
2003-12-254715.820.000.380
2004-02-114716.820.000.580
2004-02-274716.850.000.590
2004-05-014716.140.000.440
2004-10-244716.630.000.540
2004-11-094716.490.000.520
2004-12-114716.360.000.490
2004-12-274715.950.000.400
2005-01-124715.900.000.390
2005-02-134716.030.000.420
2005-04-184716.110.000.440
2005-09-094716.930.000.610
2005-11-124716.520.000.520
2006-01-314716.520.000.520
2006-03-044716.110.000.440
2006-04-214716.630.000.540
2006-09-284716.470.000.510
2006-10-144716.520.000.520
2006-11-154716.470.000.510
2006-12-014716.410.000.500
2006-12-264715.980.000.410
2007-01-024716.300.000.480
2007-01-274715.740.000.360
2007-03-074716.140.000.440
2007-03-234716.110.000.440
2007-04-014716.390.000.490
2007-04-084716.140.000.440
2007-04-174716.660.000.550
2007-05-034716.440.000.510
2008-02-064716.760.000.570
2008-08-164717.280.000.680
2008-09-014717.580.000.740
2008-09-174717.280.000.680
2008-10-034717.280.000.680
2008-10-124717.010.000.620
2008-10-194717.250.000.670
2008-10-284717.230.000.670
2008-11-204717.040.000.630
2009-01-074716.950.000.610
2009-01-234716.900.000.600
2009-02-084716.760.000.570
2009-03-124717.230.000.670
2009-04-134716.950.000.610
2009-04-294716.870.000.600
2009-10-224716.660.000.550
2009-11-074716.820.000.580
2009-11-234716.850.000.590
2009-12-094716.760.000.570
2010-02-114716.390.000.490
2010-04-164716.850.000.590
2010-06-194716.490.000.520
2010-07-264716.680.130.553
2010-08-224716.630.000.540
2010-10-094716.950.000.610
2010-10-254716.680.000.560
2010-11-104716.900.000.600
2010-11-264716.760.000.570
2010-12-124716.710.000.560
2010-12-284716.760.000.570
2011-01-134716.660.000.550
2011-02-104716.710.140.563
2011-05-064716.770.150.573
2011-08-254717.090.000.640
2011-10-284716.950.000.610
2012-02-144716.790.150.583
2012-05-084716.920.120.603
2013-02-164716.680.150.553
2013-03-264716.600.000.540
2013-04-244716.710.000.560
2013-05-114716.670.130.553
2013-07-294717.280.000.680
2013-08-144717.140.000.650
2013-11-024717.010.000.620
2013-11-184716.820.000.580
2013-12-044716.790.000.580
2013-12-204716.820.000.580
2014-01-054716.760.000.570
2014-01-214716.550.000.530
2014-02-194716.470.130.513
2014-03-264716.710.000.560
2014-05-144716.730.140.573
2014-08-074717.670.180.763
2014-08-174716.900.000.600
2014-09-024717.200.000.660
2014-10-044716.980.000.620
2014-10-204716.790.000.580
2014-11-054716.950.000.610
2014-11-214716.760.000.570
2014-12-074716.850.000.590
2015-01-084716.950.000.610
2015-01-244716.850.000.590
2015-02-094716.680.000.560
2015-03-134717.120.000.650
2015-05-184716.770.120.573
2015-08-104716.870.170.603
2015-09-054717.060.000.630
2015-10-074716.790.000.580
2015-10-234716.790.000.580
2015-11-244716.550.000.530
2015-12-104716.440.000.510
2015-12-264716.090.000.430
2016-01-114715.360.000.280
2016-01-274715.570.000.330
2016-02-124716.060.000.430
2016-02-264716.130.150.443
2016-02-284715.900.000.390
2016-04-164716.550.000.530
2016-05-204716.220.140.463
2016-08-224716.930.000.610
2016-10-254716.790.000.580
2016-11-104716.660.000.550
2016-11-264716.580.000.530
2016-12-124716.600.000.540
2017-01-134716.170.000.450
2017-01-294715.900.000.390
2017-02-144716.490.000.520
2017-02-284716.150.110.453
2017-03-024716.550.000.530
2017-04-194716.520.000.520
2017-05-054716.680.000.560
2017-05-234716.300.150.483
2017-07-244717.280.000.680
2017-09-104717.140.000.650
2017-09-264717.060.000.630
2017-10-124717.140.000.650
2017-11-134716.900.000.600
2017-11-294716.760.000.570
2017-12-154716.790.000.580
2017-12-314716.870.000.600
2018-01-164716.680.000.560
2018-03-034716.610.130.543
2018-04-064717.120.000.650
2018-04-224716.900.000.600
2018-05-264716.870.170.593
2018-05-274717.840.150.803