سابِق|تال

Monitoring lake level change in La-ang Co from 1992 to 2020 using multi-altimeter data

  • role： First author第一作者
  • Affiliation：

    College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China

  • Email：sunmingzhismz@163.com
  • Introduction：孙明智，1996年生，男，硕士研究生，研究方向为卫星测高数据处理与应用。E-mail： sunmingzhismz@163.com
SUN Mingzhi1,  
  • role： Corresponding author通信作者
  • Affiliation：

    College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China

  • Email：xinliu1969@126.com
  • Introduction：刘新，1969年生，女，副教授，研究方向为空间数据挖掘和机器学习。E-mail： xinliu1969@126.com
LIU Xin1*,  
  • Affiliation：

    School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China

WANG Haihong2,  
  • Affiliation：

    College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China

YUAN Jiajia1,  
  • Affiliation：

    Chinese Academy of Surveying and Mapping, Beijing 100036, China

LI Chengming3,  
  • Affiliation：

    College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China

GUO Jinyun1

ملخص

Tibetan Plateau (TP) lakes are located in the high-altitude and rough-terrain region. These lakes are effective indicators and sentinels of climate changes because of the absence of direct anthropogenic influence and their dominant distribution in endorheic basins. Altimetry satellites can be used to monitor the water level changes of inland water bodies. However, satellites cannot easily obtain accurate and continuous observations of Tibetan lakes with steep terrain. This paper presents a robust scheme for constructing accurate and long-term lake level time series using multi-altimeters. We demonstrate the robust scheme over La-ang Co.A robust strategy is presented to obtain lake levels on the TP using multi-altimeter data. The consistency of atmospheric path delay corrections should be carefully checked to integrate various altimeter products issued in different periods. Apparent biases are found in troposphere corrections from different altimeter products and updated by ERA-5 model. ICE retracker is used to correct the altimeter range. A two-step method is proposed for outlier removal, which has accurate performance without any a prior information. Bias adjustment is an essential step in the fusion of multi-altimeters. Tandem mission data of altimeters are used to estimate inter-satellite bias. Finally, a 28-year-long lake level time series are constructed using TOPEX/Poseidon and Jason-1/2/3 altimeter data from 1992 to 2020. The relationship among lake level, area, precipitation, temperature, and evaporation in the basin from 1992 to 2020 is analyzed.The mean lake level for each cycle is estimated after outlier removal. As an example, About 38% of the observations are rejected as outliers in Jason-2 period. The T/P-family satellites share the same ground track and have an overlap between two successive satellites for intersatellite calibration. As a result, Jason-1 has a mean lake level bias of 0.15 m with respect to T/P. The bias of Jason-2 with respect to Jason-1 is 0.02 m. The bias of Jason-3 with respect to Jason-2 is -0.23 m after removing an outlier. Biases between different missions are adjusted, and a 28-year monthly lake level time series is generated. Compared to the in situ data and available lake level databases, our result is the most robust time series for La-ang Co, with high accuracy and considerably continuous samples from 1992 to 2020. The mean STD is about 13.10 cm for T/P-family satellites. From 1992 to 2020, the level of La-ang Co decreased by 6.00 m, with an average change trend of -0.21±0.01 m/a.This result showed that the lake level extraction in this study is more accurate than that of available lake level databases, and the change of lake levels in La-ang Co is similar with the previous studies. Annual and semi-annual variations as well as inter-annual oscillations can be clearly observed in the time series. Evaporation is greater than precipitation, which is the main factor leading to the decrease of lake level. The water level of La-ang Co will continue to decline in the near term due to global warming.

مفهوم

satellite altimetry;TOPEX/Poseidon;Jason-1/2/3;La-ang Co;lake level;Tibetan Plateau

References

  1. 1.
    Bamber J L. 1994. Ice sheet altimeter processing scheme. International Journal of Remote Sensing, 15(4): 925-938
  2. 2.
    Chen X D, Guo J Y, Sun M Z, Zhu G B and Chang X T. 2021. Time-varying analysis of backscatter coefficient corresponding to different surface types in the Tibetan Plateau. Geomatics and Information Science of Wuhan University
  3. 3.
    Crétaux J F, Calmant S, Romanovski V, Shabunin A, Lyard F, Bergé-Nguyen M, Cazenave A, Hernandez F and Perosanz F. 2009. An absolute calibration site for radar altimeters in the continental domain: Lake Issykkul in Central Asia. Journal of Geodesy, 83(8): 723-735
  4. 4.
    Du W J, Liu X, Guo J Y, Shen Y, Li W and Chang X T. 2019. Analysis of the melting glaciers in Southeast Tibet by ALOS-PALSAR data. Terrestrial, Atmospheric and Oceanic Sciences, 30(1): 7-19
  5. 5.
    Frappart F, Calmant S, Cauhope M, Seyler F and Cazenave A. 2006. Preliminary results of ENVISAT RA-2-derived water levels validation over the Amazon basin. Remote Sensing of Environment, 100(2): 252-264
  6. 6.
    Gao Y G, Guo J Y and Yun J P. 2008. Lake level variations measurement with satellite altimetry. Science of Surveying and Mapping, 33(6): 73-75, 29
  7. 7.
    Guo J Y, Mu D P, Liu X, Yan H M, Sun Z C and Guo B. 2016. Water storage changes over the Tibetan Plateau revealed by GRACE mission. Acta Geophysica, 64(2): 463-476
  8. 8.
    Guo J Y, Sun J L, Chang X T, Guo S Y and Liu X. 2010. Water level variation of bosten lake monitored with TOPEX/Poseidon and its correlation with NINO3 SST. Acta Geodaetica et Cartographica Sinica, 39(3): 221-226
  9. 9.
    Guo J Y, Sun J L, Chang X T, Guo S Y and Liu X. 2011. Correlation analysis of NINO3.4 SST and inland lake level variations monitored with satellite altimetry: case studies of lakes Hongze, Khanka, La-ang, Ulungur, Issyk-kul and Baikal. Terrestrial, Atmospheric and Oceanic Sciences, 22(2): 203-213 [DOI: )]
  10. 10.
    Guo J Y, Wei Z J, Zhu C C, Wu Y L and Ji B. 2021. Bathymetry inversion of South China Sea based on iterative continuation of gravity anomalies. Journal of Shandong University of Science and Technology (Natural Science), 40(4): 1-10
  11. 11.
    Guo J Y, Yang L, Liu X, Huang J W and Yang H. 2012. On temporal-spatial distribution of backscatter coefficients over China determined by TOPEX/Poseidon mission. Science China Earth Sciences, 55(12): 2068-2083
  12. 12.
    Ho C M, Wilson B D, Mannucci A J, Lindqwister U J and Yuan D N. 1997. A comparative study of ionospheric total electron content measurements using global ionospheric maps of GPS, TOPEX radar, and the Bent model. Radio Science, 32(4): 1499-1512
  13. 13.
    Hwang C, Cheng Y S, Han J C, Kao R, Huang C Y, Wei S H and Wang H H. 2016. Multi-decadal monitoring of lake level changes in the Qinghai-Tibet Plateau by the TOPEX/Poseidon-Family altimeters: climate implication. Remote Sensing, 8(6): 446
  14. 14.
    Hwang C, Peng M F, Ning J S, Luo J and Sui C H. 2005. Lake level variations in China from TOPEX/Poseidon altimetry: data quality assessment and links to precipitation and ENSO. Geophysical Journal International, 161(1): 1-11
  15. 15.
    Jiang L G, Nielsen K, Andersen O B and Bauer-Gottwein P. 2017. Monitoring recent lake level variations on the Tibetan Plateau using CryoSat-2 SARIn mode data. Journal of Hydrology, 544: 109-124
  16. 16.
    Kleinherenbrink M, Lindenbergh R C and Ditmar P G. 2015. Monitoring of lake level changes on the Tibetan Plateau and Tian Shan by retracking Cryosat SARIn waveforms. Journal of Hydrology, 521: 119-131
  17. 17.
    Li W D, Guo J Y, Chang X T, Zhu G B and Kong Q L. 2017. Terrestrial water storage changes in the Tianshan Mountains of Xinjiang Measured by GRACE during 2003~2013. Geomatics and Information Science of Wuhan University, 42(7): 1021-1026
  18. 18.
    Li X D, Long D, Huang Q, Han P F, Zhao F Y and Wada Y. 2019a. High-temporal-resolution water level and storage change data sets for lakes on the Tibetan Plateau during 2000-2017.
  19. 19.
    年）. 国家青藏高原科学数据中心) [DOI: 10.1594/PANGAEA.898411]
  20. 20.
    Li X D, Long D, Huang Q, Han P F, Zhao F Y and Wada Y. 2019b. High-temporal-resolution water level and storage change data sets for lakes on the Tibetan Plateau during 2000-2017 using multiple altimetric missions and Landsat-derived lake shoreline positions. Earth System Science Data, 11(4): 1603-1627
  21. 21.
    Li Z, Liu X, Guo J Y, Yuan J J, Niu Y P and Ji B. 2020. A new method of satellite radar altimeter waveform retracking based on waveform derivative. Revista Internacional De Metodos Numericos Numerlcos Para Calculo Y Diseno En Ingenieria, 36 (4) [DOI: 10.23967/j.rimni.2020.10.002]
  22. 22.
    Liao J J, Xue H and Chen J M. 2020. Monitoring lake level changes on the Tibetan Plateau from 2000 to 2018 using satellite altimetry data. Journal of Remote Sensing (Chinese), 24(12): 1534-1547
  23. 23.
    Liu X, Zhao N, Guo J Y and Guo B. 2020. Prediction of monthly precipitation over the Tibetan Plateau based on LSTM neural network. Journal of Geo-Information Science, 22(8): 1617-1629
  24. 24.
    Ma R H, Yang G S, Duan H T, Jiang J H, Wang S M, Feng X Z, Li A N, Kong F X, Xue B, Wu J L and Li S J. 2011. China’s lakes at present: number, area and spatial distribution. Science China Earth Sciences, 54(2): 283-289
  25. 25.
    Niu Y P, Guo J Y, Yuan J J, Li Z, Wen H J, Liu H L and Ji B. 2019. Accuracy analysis of global mean sea surface height models based on tide gauge records. Journal of Shandong University of Science and Technology(Natural Science), 38(4): 18-26
  26. 26.
    Okeowo M A, Lee H, Hossain F and Getirana A. 2017. Automated generation of lakes and reservoirs water elevation changes from satellite radar altimetry. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(8): 3465-3481
  27. 27.
    Phan V H, Lindenbergh R and Menenti M. 2012. ICESat derived elevation changes of Tibetan lakes between 2003 and 2009. International Journal of Applied Earth Observation and Geoinformation, 17: 12-22
  28. 28.
    Schwatke C, Dettmering D, Bosch W and Seitz F. 2015. DAHITI – an innovative approach for estimating water level time series over inland waters using multi-mission satellite altimetry. Hydrology and Earth System Sciences, 19(10): 4345-4364
  29. 29.
    Song C Q, Huang B, Ke L H and Richards K S. 2014. 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
  30. 30.
    Stammer D and Cazenave A. 2017. Satellite Altimetry over Oceans and Land Surfaces. Boca, Raton: CRC Press
  31. 31.
    Sun M Z, Guo J Y, Yuan J J, Liu X, Wang H H and Li C M. 2021. Detecting lake level change from 1992 to 2019 of Zhari Namco in Tibet using altimetry data of TOPEX/Poseidon and Jason-1/2/3 Missions. Frontiers in Earth Science, 9: 640553
  32. 32.
    Vu P L, Frappart F, Darrozes J, Marieu V, Blarel F, Ramillien G, Bonnefond P and Birol F. 2018. Multi-satellite altimeter validation along the french atlantic coast in the southern bay of biscay from ERS-2 to SARAL. Remote Sensing, 10(1): 93
  33. 33.
    Wang H H, Chu Y H, Huang Z K, Hwang C and Chao N F. 2019. Robust, long-term lake level change from multiple satellite altimeters in Tibet: observing the rapid rise of Ngangzi Co over a New Wetland. Remote Sensing, 11(5): 558
  34. 34.
    Wang J B, Peng P, Ma Q F and Zhu L P. 2013. Investigation of water depth, water quality and modern sedimentation rate in Mapam Yumco and La’ang Co, Tibet. Journal of Lake Sciences, 25(4): 609-616
  35. 35.
    Wen J C, Zhao H L, Jiang Y Z, Chen D Q and Ji G. 2018. Research on the quality screening method for satellite altimetry data—take Jason-3 data and Hongze Lake as an example. South-to-North Water Transfers and Water Science and Technology, 16(3): 194-200, 208
  36. 36.
    Wingham D J, Rapley C G and Griffiths H. 1986. New techniques in satellite altimeter tracking systems//Proceedings of IGARss’ 86 Symposium. Zurich: ESA Publications Divison: 1339-1344
  37. 37.
    Xie Y G, Guo J Y, Zhu J S, Kong Q L and Li G W. 2016. Simulation and analysis of significant wave height over seas of Dongsha Island based on SWAN model. Journal of Shandong University of Science and Technology (Natural Science), 35(3): 17-24
  38. 38.
    Zhang G Q. 2019. The lakes larger than 1 km2 in Tibetan Plateau (V2.0) (1970s-2018
  39. 39.
    ). 国家青藏高原科学数据中心)
  40. 40.
    Zhang G Q, Luo W, Chen W F and Zheng G X. 2019. A robust but variable lake expansion on the Tibetan Plateau. Science Bulletin, 64(18): 1306-1309
  41. 41.
    Zhang G Q, Xie H J, Kang S C, Yi D H and Ackley S F. 2011. Monitoring lake level changes on the Tibetan Plateau using ICESat altimetry data (2003-2009). Remote Sensing of Environment, 115(7): 1733-1742
  42. 42.
    Zhang G Q, Yao T D, Xie H J, Kang S C and Lei Y B. 2013. Increased mass over the Tibetan Plateau: From lakes or glaciers?. Geophysical Research Letters, 40(10): 2125-2130
  43. 43.
    Zhang G Q, Yao T D, Xie H J, Yang K, Zhu L P, Shum C K, Bolch T, Yi S, Allen S, Jiang L G, Chen W F and Ke C Q. 2020. Response of Tibetan Plateau lakes to climate change: trends, patterns, and mechanisms. Earth-Science Reviews, 208: 103269
  44. 44.
    Zhang G Q, Yao T D, Xie H J, Zhang K X and Zhu F J. 2014. Lakes’ state and abundance across the Tibetan Plateau. Chinese Science Bulletin, 59(24): 3010-3021
  45. 45.
    Zhang X, Wu Y H and Zhang X. 2015. Zhari Namco water level change detection using multi-satellite altimetric data during 1992-2012. Journal of Natural Resources, 30(7): 1153-1162
  46. 46.
    Zingerle P, Pail R, Gruber T and Oikonomidou X. 2020. The combined global gravity field model XGM2019e. Journal of Geodesy, 94(7): 66

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