Synthesis of multi-satellite altimetry facilitates the acquisition of long-term changes in lake level but may induce biases due to inconsistent data sources,and thus remains largely unexplored.This study investigates ...Synthesis of multi-satellite altimetry facilitates the acquisition of long-term changes in lake level but may induce biases due to inconsistent data sources,and thus remains largely unexplored.This study investigates the integrated application of Ice,Cloud,and land Elevation Satellite(ICESat),ICESat-2,and CryoSat-2 missions to provide consecutive lake level series in 2003–2020.The sample comprises 48 lakes in the world with gauge-based or Hydroweb water level data.The CryoSat-2 data arefirst adjusted to the ICESat-2 height reference based on the mean values of their monthly water level difference during their overlapping period(2018–2020).Then,the corrected CryoSat-2 data are used to link the ICESat and ICESat-2 data.Results show that in the sample lakes,the deviations between CryoSat-2 and ICESat-2 data vary and range from-0.78 m to 0.13 m.The data quality of the synthesized time series is evaluated by comparing against the validation data,with an average R^(2) of 0.84.This study shows that CryoSat-2 has the potential offilling the gap between ICESat and ICESat-2.The three altimeters can be expected to integrate effectively for monitoring lake water level changes in the past two decades.展开更多
基金supported by the National Key Research and Development Program of China[grant numbers 2022YFF0711603,2019YFA0607101]the Strategic Priority Research Program of the Chinese Academy of Sciences[grant number XDA23100102]+1 种基金Science and Technology Planning Project of NIGLAS[grant numbers 2022NIGLAS-CJH04,2022NIGLAS-TJ18]the National Natural Science Foundation of China[grant numbers 41971403,41930102,42171421 and 41975036].
文摘Synthesis of multi-satellite altimetry facilitates the acquisition of long-term changes in lake level but may induce biases due to inconsistent data sources,and thus remains largely unexplored.This study investigates the integrated application of Ice,Cloud,and land Elevation Satellite(ICESat),ICESat-2,and CryoSat-2 missions to provide consecutive lake level series in 2003–2020.The sample comprises 48 lakes in the world with gauge-based or Hydroweb water level data.The CryoSat-2 data arefirst adjusted to the ICESat-2 height reference based on the mean values of their monthly water level difference during their overlapping period(2018–2020).Then,the corrected CryoSat-2 data are used to link the ICESat and ICESat-2 data.Results show that in the sample lakes,the deviations between CryoSat-2 and ICESat-2 data vary and range from-0.78 m to 0.13 m.The data quality of the synthesized time series is evaluated by comparing against the validation data,with an average R^(2) of 0.84.This study shows that CryoSat-2 has the potential offilling the gap between ICESat and ICESat-2.The three altimeters can be expected to integrate effectively for monitoring lake water level changes in the past two decades.
