A lake data set for the Tibetan Plateau from the 1960s, 2005, and 2014

Scientific data - Tập 3 Số 1
Wei Wan1, Di Long1, Yang Hong1, Yingzhao Ma1, Yuan Yuan2, Pengfeng Xiao3, Hongtao Duan4, Zhongying Han5, Xingfa Gu6
1State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
2School of Geosciences, China University of Petroleum, Qingdao 266580, China
3Department of Geographical Information Science, Nanjing University, Nanjing, 210023, China
4State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
5Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
6Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China

Tóm tắt

Abstract

Long-term datasets of number and size of lakes over the Tibetan Plateau (TP) are among the most critical components for better understanding the interactions among the cryosphere, hydrosphere, and atmosphere at regional and global scales. Due to the harsh environment and the scarcity of data over the TP, data accumulation and sharing become more valuable for scientists worldwide to make new discoveries in this region. This paper, for the first time, presents a comprehensive and freely available data set of lakes’ status (name, location, shape, area, perimeter, etc.) over the TP region dating back to the 1960s, including three time series, i.e., the 1960s, 2005, and 2014, derived from ground survey (the 1960s) or high-spatial-resolution satellite images from the China-Brazil Earth Resources Satellite (CBERS) (2005) and China’s newly launched GaoFen-1 (GF-1, which means high-resolution images in Chinese) satellite (2014). The data set could provide scientists with useful information for revealing environmental changes and mechanisms over the TP region.

Design Type(s) time series design • observation design • data integration objective
Measurement Type(s) lake topography
Technology Type(s) remote sensing
Factor Type(s)
Sample Characteristic(s) Tibetan Plateau • Qaidam Basin • Amu Darya • Brahmaputra River • River Ganges • Hexi District • Indus River • Mekong River • Salween River • Tarim Basin • Yangtze River • Yellow River • endorheic lake • exorheic lake

Machine-accessible metadata file describing the reported data (ISA-Tab format)

Từ khóa


Tài liệu tham khảo

Qiu, J. The Third Pole. Nature 454, 393–396 (2008).

Yao, T. et al. Third Pole Environment (TPE). Environmental Development 3, 52–64 (2012).

Yao, T. et al. Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings. Nature Clim. Change 2, 663–667 (2012).

Cheng, G. & Wu, T. Responses of permafrost to climate change and their environmental significance, Qinghai-Tibet Plateau. Journal of Geophysical Research: Earth Surface 112, F02S03 (2007).

Zhang, G., Xie, H., Yao, T., Liang, T. & Kang, S. Snow cover dynamics of four lake basins over Tibetan Plateau using time series MODIS data (2001–2010). Water Resources Research 48, W10529 (2012).

Korup, O. & Montgomery, D. R. Tibetan plateau river incision inhibited by glacial stabilization of the Tsangpo gorge. Nature 455, 786–789 (2008).

Cui, M. et al. Warmer temperature accelerates methane emissions from the Zoige wetland on the Tibetan Plateau without changing methanogenic community composition. Scientific Reports 5, 11616 (2015).

Yang, X. & Lu, X. Drastic change in China’s lakes and reservoirs over the past decades. Scientific Reports 4, 6041 (2014).

Liu, J., Wang, S., Yu, S., Yang, D. & Zhang, L. Climate warming and growth of high-elevation inland lakes on the Tibetan Plateau. Global and Planetary Change 67, 209–217 (2009).

Phan, V. H., Lindenbergh, R. & Menenti, M. ICESat derived elevation changes of Tibetan lakes between 2003 and 2009. International Journal of Applied Earth Observation and Geoinformation 17, 12–22 (2012).

Song, C., Huang, B., Ke, L. & Richards, K. S. Seasonal and abrupt changes in the water level of closed lakes on the Tibetan Plateau and implications for climate impacts. Journal of Hydrology 514, 131–144 (2014).

Zhang, G., Xie, H., Kang, S., Yi, D. & Ackley, S. F. Monitoring lake level changes on the Tibetan Plateau using ICESat altimetry data (2003–2009). Remote Sensing of Environment 115, 1733–1742 (2011).

Zhang, G., Yao, T., Xie, H., Zhang, K. & Zhu, F. Lakes’ state and abundance across the Tibetan Plateau. Chinese Science Bulletin 59, 3010–3021 (2014).

Xu, H., Hou, Z., An, Z., Liu, X. & Dong, J. Major ion chemistry of waters in Lake Qinghai catchments, NE Qinghai-Tibet plateau, China. Quaternary International 212, 35–43 (2010).

Wang, M., Hou, J. & Lei, Y. Classification of Tibetan lakes based on variations in seasonal lake water temperature. Chinese Science Bulletin 59, 4847–4855 (2014).

Lei, Y. et al. Coherent lake growth on the central Tibetan Plateau since the 1970s: Characterization and attribution. Journal of Hydrology 483, 61–67 (2013).

Li, X., Wang, L., Chen, D., Yang, K. & Wang, A. Seasonal evapotranspiration changes (1983–2006) of four large basins on the Tibetan Plateau. Journal of Geophysical Research: Atmospheres 119 (13): 079–013,095 (2014).

Song, C., Huang, B. & Ke, L. Modeling and analysis of lake water storage changes on the Tibetan Plateau using multi-mission satellite data. Remote Sensing of Environment 135, 25–35 (2013).

Feng, L. et al. Assessment of inundation changes of Poyang Lake using MODIS observations between 2000 and 2010. Remote Sensing of Environment 121, 80–92 (2012).

Verpoorter, C., Kutser, T. & Tranvik, L. Automated mapping of water bodies using Landsat multispectral data. Limnology and Oceanography: Methods 10, 1037–1050 (2012).

Feyisa, G. L., Meilby, H., Fensholt, R. & Proud, S. R. Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery. Remote Sensing of Environment 140, 23–35 (2014).

Ma, R. et al. A half-century of changes in China's lakes: Global warming or human influence? Geophysical Research Letters 37, L24106 (2010).

Lehner, B. & Döll, P. Development and validation of a global database of lakes, reservoirs and wetlands. Journal of Hydrology 296, 1–22 (2004).

Verpoorter, C., Kutser, T., Seekell, D. A. & Tranvik, L. J. A global inventory of lakes based on high-resolution satellite imagery. Geophysical Research Letters 41, 6396–6402 (2014).

Sharma, S. et al. A global database of lake surface temperatures collected by in situ and satellite methods from 1985–2009. Scientific Data 2, 150008 (2015).

Song, C., Huang, B., Ke, L. & Richards, K. S. Remote sensing of alpine lake water environment changes on the Tibetan Plateau and surroundings: A review. ISPRS Journal of Photogrammetry and Remote Sensing 92, 26–37 (2014).

Wang, S. & Dou, H . Chinese Lake Catalogue (Science Press, 1989).

Ma, R. et al. China's lakes at present: Number, area and spatial distribution. Science China Earth Sciences 41, 394–401 (2010).

Downing, J. A. et al. The global abundance and size distribution of lakes, ponds, and impoundments. Limnology and Oceanography 51, 2388–2397 (2006).

Seekell, D. A., Pace, M. L., Tranvik, L. J. & Verpoorter, C. A fractal-based approach to lake size-distributions. Geophysical Research Letters 40, 517–521 (2013).

Balsamo, G. et al. On the contribution of lakes in predicting near-surface temperature in a global weather forecasting model. Tellus A 64, 1–12 (2012).

Downing, J. A. et al. Emerging global role of small lakes and ponds: little things mean a lot. Limnetica 29, 9–24 (2010).

Code for China Lake Name. in China Industrial Standard SL261-98 (China Water Power Press, 1998).

Zhang, Y., Wan, Y., Wang, B., Kang, Y. & Xiong, J. Automatic processing of Chinese GF-1 wide field of View images. in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (36th International Symposium on Remote Sensing of Environment) Vol. XL-7/W3. (Copernicus Publications, Berlin, Germany, 2015).

Zeng, C., Shen, H. & Zhang, L. Recovering missing pixels for Landsat ETM+SLC-off imagery using multi-temporal regression analysis and a regularization method. Remote Sensing of Environment 131, 182–194 (2013).

Zhang, G., Yao, T., Xie, H., Wang, W. & Yang, W. An inventory of glacial lakes in the Third Pole region and their changes in response to global warming. Global and Planetary Change 131, 148–157 (2015).

Wan, W. et al. Monitoring lake changes of Qinghai-Tibetan Plateau over the past 30 years using satellite remote sensing data. Chinese Science Bulletin 59, 1021–1035 (2014).

Yao, X. et al. Spatial-temporal variations of lake area in Hoh Xil region in the past 40 years. Acta Geographica Sinica 68, 886–896 (2013).

Li, J., Sheng, Y., Luo, J. & Shen, Z. Remotely sensed mapping of inland lake area changes in the Tibetan Plateau. Journal of Lake Sciences 23, 311–320 (2011).

Wang, X. et al. Water-level changes in China's large lakes determined from ICESat/GLAS data. Remote Sensing of Environment 132, 131–144 (2013).

Jacob, T., Wahr, J., Pfeffer, W. T. & Swenson, S. Recent contributions of glaciers and ice caps to sea level rise. Nature 482, 514–518 (2012).

Tapley, B. D., Bettadpur, S., Watkins, M. & Reigber, C. The gravity recovery and climate experiment: Mission overview and early results. Geophysical Research Letters 31, 1–4 (2004).

Wan, W. Figshare http://dx.doi.org/10.6084/m9.figshare.3145369 (2016)