C2lakeTS

The dataset C2lakeTS contains water-level time series based on observations from the radar satellite altimetry mission CryoSat-2. The water level time series is reconstructed via a state-space model in which the observations are assumed to follow a mixture of Normal and Cauchy distributions, and the underlying process that accounts for temporal correlation is an autoregressive process of order 1 (AR1). The Columns in the dataset are: date - Date [yyyy-mm-dd] time - Decimal datewl - Estimated water level w.r.t EGM2008 [m]wlsd - Estimated water level standard deviation [m]iceF - Ice flag 1,3 =”false” and 2=”true” based on https://doi.org/10.1016/j.rse.2024.114164isObs - Observation flag to indicate if observations were available in the given month 1=”yes” NA=”no”The file C2lakeTSpar.csv contains metadata for each water level time serieslakeID - Lake id based on the SWORD PLD v2.02 product (https://doi.org/10.1029/2023WR036896)tsType - The “tsType” can have the values “M” for monthly, “Q” for quarterly, and “Y” for yearlynobs - The total number of observations per lakeutime - The number of unique measurement times in the observation periodmmoy - The average number of observations times per yearnyear - The number of years in the time seriessdEta - The estimate of the model parameter σeta in the AR1 processsdObs - The estimate of the observation standard deviation σObsphi/rho - The estimate of the 1-lag correlation parameter ρ in the AR1 processconv - Convergence flag, 0=TRUE, and 1=FALSElat - Latitude of lake location acquired from the SWOT PLD 2.02 Sci (https://doi.org/10.1029/2023WR036896)lon - Longitude of lake location acquired from the SWOT PLD 2.02 Sci (https://doi.org/10.1029/2023WR036896)area - Lake area in km2 calculated in QGIS based on the SWOT PLD lake polygonsGRAND - GRanD id acquired from the SWOT PLD 2.02 Sci (https://doi.org/10.1029/2023WR036896)Qf - Quality flag, Q=0: bad, Q=1; good, Q=2 good+<br>