Society (e.g., increasing risks of inundation and overflow floods).Īs an important component of the hydrosphere, terrestrial water cycle, and Storage could be the basis for investigating its causes (e.g., climateĬhange/variability) and interactions with the water/energy cycles and human Given the fact that TP lakes have been expanding for more than 20 years (Pekel et al., 2016), quality data sets on lake water level and/or Wang et al. (2018) showed that global endorheic basins are experiencingĪ decline in water storage, whereas the endorheic basin on the TP is anĮxception. Lake storage changes may serve as an important indicator that reflectsĬhanges in regional hydrologic processes and responses to climate change. With little disturbance by human activity in this area, Larger than 1 km 2 on the TP, where glaciers and permafrost are also The Tibetan Plateau (TP), providing vital water resources for more than aīillion population in Asia, is a sensitive region undergoing rapid climateĬhange (Field et al., 2014). Water levels and storage changes on the TP, and critical information on lake overflow flood monitoring and prediction as the expansion of some TP lakesīecomes a serious threat to surrounding residents and infrastructure. Provide accurate information on multiyear and short-term monitoring of lake The resulting merged Landsat-derived and altimetric lake water levels can The accuracy of the Landsat-derived water levels that can beĭerived in relatively small lakes is comparable with most altimetry data. Measurements, consistent with the magnitude from theoretical analysis
Landsat-derived water levels is 0.11 m compared with the in situ High-resolution optical images (0.8 m) as well. Typical lakes, and theoretical uncertainty analysis was performed based on Landsat-derived water levels, field experiments were carried out in two Water levels with systematic biases being removed. Study period and serve as an ideal reference for merging multisource lake Shoreline positions (i.e., Landsat-derived water levels) that cover the Landsat archives and altimetry data, we developed water levels from lake The data sets are available online at (Li et al., 2019). Weekly to monthly timescales for 52 large lakes (50 lakes larger than 150 km 2 and 2 lakes larger than 100 km 2) on the TP during 2000–2017.
#Pcad 2000 modify via series
High-temporal-resolution lake water level and storage change time series at Observations on the TP due to the harsh environment and complex terrain, weĮxploited multiple altimetric missions and Landsat satellite data to create Quite sensitive to climate change, which is reflected by changes in hydrologic state The Tibetan Plateau (TP), known as Asia's water tower, is
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