High-resolution datasets for lake level changes in the Qinghai-Tibetan Plateau from 2002 to 2021 using multi-altimeter data
Abstract. The Qinghai Tibet Plateau (QTP), known as the Roof of the World and the Water Tower of Asia, has the largest number of lakes in the world, and because of its high altitude and near absence of disturbances by human activity, the plateau has long been an important site for studying global climate change. Hydrological stations cannot be readily set up in this region, and in situ gauge data are not always publicly accessible. Satellite radar altimetry has become a very important alternative to in situ observations as a source of data. Estimation of the water levels of lakes via radar altimetry is often limited by temporal and spatial coverage, and, therefore, multi-altimeter data are often used to monitor lake levels. Restricted by the accuracy of waveform processing and the interval period between different altimetry missions, the accuracy and the sampling frequency of the water level series are typically low. By processing and merging data from eight different altimetry missions, the developed datasets provided the water level changes for 362 lakes (larger than 10 km2) in the QTP from 2002 to 2021. The period for the lake level change series, which affords high accuracy, can be much longer for many lake systems. The present datasets and associated approaches are valuable for calculating the changes in lake storage, trend analyses of the lake levels, short-term monitoring of the overflow of lakes, flooding disasters on the plateau, and the relationships between changes in the lake ecosystems and changes in the water resources.
Jiaming Chen et al.
Status: open (extended)
RC1: 'Comment on essd-2022-313', Anonymous Referee #1, 17 Nov 2022
- AC1: 'Reply on RC1', Jingjuan Liao, 27 Nov 2022 reply
CC1: 'Comment on essd-2022-313', Nancy Swift, 08 Dec 2022
AC2: 'Reply on CC1', Jingjuan Liao, 12 Jan 2023
- CC2: 'Reply on AC2', Nancy Swift, 14 Jan 2023 reply
- AC2: 'Reply on CC1', Jingjuan Liao, 12 Jan 2023 reply
RC2: 'Comment on essd-2022-313', Anonymous Referee #2, 26 Dec 2022
AC3: 'Reply on RC2', Jingjuan Liao, 12 Jan 2023
RC3: 'Reply on AC3', Anonymous Referee #2, 14 Jan 2023
- AC4: 'Reply on RC3', Jingjuan Liao, 18 Jan 2023 reply
- RC3: 'Reply on AC3', Anonymous Referee #2, 14 Jan 2023 reply
- AC3: 'Reply on RC2', Jingjuan Liao, 12 Jan 2023 reply
Jiaming Chen et al.
High-space-coverage lake level change data sets on the Tibetan Plateau from 2002 to 2021 using multiple altimeter data https://doi.org/10.1594/PANGAEA.939427
Jiaming Chen et al.
Viewed (geographical distribution)
This study provides the time series of water level for lakes in the Qinghai-Tibetan Plateau between 2002 and 2021 using altimeter data from Envisat, ICESat-1, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL, and Sentinel-3A. The water level data in 2002-2021 provided by this study is not new, and have been reported by couple of previous studies. This study did not present well such as time series of lake level and not story focused such as the mention the discharge without close relation with study study. Moreover, the authors did not know the background information of lakes over the Tibetan Plateau well. I can not recommend the publication of this manuscript (dataset).
1) Although this study provides the time series of water level of lakes in the Qinghai-Tibetan Plateau from eight altimetry products, this dataset is not new compared with published studies, especially in a limited period (2002-2021). Hydroweb and other websites have provided open access lake level data since 1992, which has covered the altimetry data used in this study.
2) The presentation of this study is not good such as Figures 3 and 4. Flowchart 1 and 5 should be combined together. For a scientific paper, the figures should be drawn by a scientific standard. Moreover, the offset among the different altimetry data was addressed? How?
3) What is the difference of boundaries between Qinghai-Tibetan Plateau and Tibetan Plateau? How the comparison of time series of altimetry data and in-situ? Why the streamflow and discharge data are used, but the analysis of water level and advantage of your study are not clear?