Human change of global variation in surface water storage

  • 1.

    Gleick, PH Global freshwater resources: softway solutions for the 21st century. Science 302, 1524–1528 (2003).

    ADS CAS PubMed Google Scholar

  • 2.

    Tranvik, LJ et al. Lakes and reservoirs as regulators of carbon cycle and climate. Limnol. Oceanogr. 54, 2298–2314 (2009).

    ADS CAS Google Scholar

  • 3.

    Alsdorf, D., Rodriguez, E. & Lettenmaier, DP Measurement of surface water from space. Rev. Geophys. 45, RG2002 (2007).

    ADS Google Scholar

  • 4.

    Mekonnen, MM & Hoekstra, AY Sustainability: four billion people with severe water scarcity. Sci. Adv. 2, e1500323 (2016).

    ADS PubMed PubMed Central Google Scholar

  • 5.

    Chao, BF, Wu, YH & Li, YS The impact of artificial water catchment on world sea level. Science 320, 212–215 (2008).

    ADS CAS PubMed Google Scholar

  • 6.

    Smith, LC Power Rivers: How a Natural Power Generated Kingdoms, Destroyed Civilizations, and Shaped Our World. (Little, Brown, Spark, 2020).

  • 7.

    Zhao, G. & Gao, H. Estimation of evaporation losses in the reservoir for the United States: fusion of remote sensing and modeling. Remote sensing environment. 226, 109–124 (2019).

    ADS Google Scholar

  • 8.

    Deemer, BR et al. Greenhouse gas emissions through water surfaces in the reservoir: a new global synthesis. BioScience 66, 949–964 (2016).

    PubMed PubMed Central Google Scholar

  • 9.

    Cushman, RM Review of ecological effects of rapidly changing current downstream of hydroelectric facilities. N. Am. J. Vis. Management. 5, 330–339 (1985).

    Google Scholar

  • 10.

    Pelicice, FM, Pompeu, PS & Agostinho, AA Large reservoirs as ecological barriers to downstream movements of Neotropical migratory fish. Show Show. 16, 697–715 (2015).

    Google Scholar

  • 11.

    Gillespie, BR, Desmet, S., Kay, P., Tillotson, MR & Brown, LE A critical analysis of regulated river ecosystem responses to managed environmental flows from reservoirs. Freshw. Biol. 60, 410–425 (2015).

    Google Scholar

  • 12.

    Wang, J., Sheng, Y., Gleason, CJ & Wada, Y. Downstream Yangtze River levels affected by the Three Gorges Dam. Environment. Res. Light. 8, 044012 (2013).

    ADS Google Scholar

  • 13.

    Kondolf, GM, Rubin, ZK & Minear, JT Dams on the Mekong: cumulative sediment famine. Water Resour. Res. 50, 5158–5169 (2014).

    ADS Google Scholar

  • 14.

    Pekel, J.-F., Cottam, A., Gorelick, N. & Belward, AS High resolution maps of global surface water and its long-term changes. Nature 540, 418–422 (2016).

    ADS CAS PubMed Google Scholar

  • 15.

    Shiklomanov, AI, Lammers, RB & Vorosmarty, CJ Widespread decline in hydrological monitoring threatens pan-Arctic research. Eos 83, 13–17 (2002).

    ADS Google Scholar

  • 16.

    Lawford, R., Strauch, A., Toll, D., Fekete, B. & Cripe, D. Earth observations for global water security. Curr. Opin. Environment. Maintain. 5, 633–643 (2013).

    Google Scholar

  • 17.

    Gao, H., Birkett, C. & Lettenmaier, DP Global monitoring of large reservoir storage from satellite remote sensing. Water Resour. Res. 48, WO50504 (2012).

    ADS Google Scholar

  • 18.

    Gao, H. Satellite remote sensing of large lakes and reservoirs: from altitude and area to storage. Wiley Interdissip. Rev. Water 2, 147–157 (2015).

    Google Scholar

  • 19.

    Zhou, T., Nijssen, B., Gao, H. & Lettenmaier, DP The contribution of reservoirs to global variations for the storage of soil surface water. J. Hydrometeorol. 17, 309–325 (2016).

    ADS Google Scholar

  • 20.

    Rodell, M., Famiglietti, JS, Wiese, DN, Reager, JT & Beaudoing, HK Emerging trends in global freshwater availability. Nature 557, 651–659 (2018); correction 565, E7 (2019).

    ADS CAS PubMed PubMed Central Google Scholar

  • 21.

    Getirana, A., Kumar, S., Girotto, M. & Rodell, M. Rivers and floodplains as a key component of the global variation in landwater storage. Geophys. Res. Light. 44, 10359–10368 (2017).

    ADS Google Scholar

  • 22.

    Lehner, B. et al. High resolution mapping of the world’s reservoirs and dams for sustainable river flow management. Front. Ecol. Environment. 9, 494–502 (2011).

    Google Scholar

  • 23.

    Mulligan, M., of Soesbergen, A. & Sáenz, L. GOODD, a global dataset of more than 38,000 georeferenced dams. Sci. Data 7, 31 (2020).

    PubMed PubMed Central Google Scholar

  • 24.

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

    ADS Google Scholar

  • 25.

    Smith, LC, Sheng, Y. & MacDonald, GM A first pan-Arctic assessment of the impact of icing, permafrost, topography and peatlands on the distribution of more in the Northern Hemisphere. Permafr. Periglac. Process. 18, 201–208 (2007).

    Google Scholar

  • 26.

    Ryan, JC, Smith, LC, Cooley, SW, Pitcher, LH & Pavelsky, TM Global characterization of inland water reservoirs using ICESat – 2 altimetry and climate reanalysis. Geophys. Res. Light. 47, 1–10 (2020).

    Google Scholar

  • 27.

    Markus, T. et al. The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2): scientific requirements, concept and implementation. Remote sensing environment. 190, 260–273 (2017).

    ADS Google Scholar

  • 28.

    Biancamaria, S., Lettenmaier, DP & Pavelsky, TM The SWOT mission and its capabilities for land hydrology. Survive. Geophys. 37, 307–337 (2016).

    ADS Google Scholar

  • 29.

    Marzeion, B., Cogley, JG, Richter, K. & Parkes, D. Attribution of global glacier mass loss to anthropogenic and natural causes. Science 345, 919–921 (2014).

    ADS CAS PubMed Google Scholar

  • 30.

    Zemp, M. et al. Global glacier mass changes and their contribution to sea level rise from 1961 to 2016. Nature 568, 382–386 (2019); correction 577, E9 (2020).

    ADS CAS PubMed Google Scholar

  • 31.

    Hansen, MC et al. High-resolution global maps of the change of forest cover in the 21st century. Science 342, 850–853 (2013).

    ADS CAS PubMed Google Scholar

  • 32.

    Taubert, F. et al. Global patterns of tropical forest fragmentation. Nature 554, 519–522 (2018).

    ADS CAS Google Scholar

  • 33.

    Nienhuis, JH et al. Human impact on delta morphology on a global scale has led to net gains in land areas. Nature 577, 514–518 (2020).

    ADS CAS PubMed Google Scholar

  • 34.

    Syvitski, JPM, Vorosmarty, CJ, Kettner, AJ & Green, P. Impact of Humans on the Flood of Earth Sediment to the Global Coast. Science 308, 376–380 (2005).

    ADS CAS PubMed Google Scholar

  • 35.

    Rodell, M., Velicogna, I. & Famiglietti, JS satellite-based estimates of groundwater depletion in India. Nature 460, 999–1002 (2009).

    ADS CAS PubMed Google Scholar

  • 36.

    Famiglietti, JS The global groundwater crisis. Wet. Climb. Alter 4, 945–948 (2014).

    ADS Google Scholar

  • 37.

    Grill, G. et al. Map of the world’s free flowing rivers. Nature 569, 215–221 (2019); correction 572, E9 (2019).

    ADS CAS PubMed Google Scholar

  • 38.

    Neumann, TA et al. The mission Ice, Cloud and Land Elevation Satellite – 2: a global localized photon product from the Advanced Topographic Laser Altimeter System. Remote sensing environment. 233, 111325 (2019).

    ADS Google Scholar

  • 39.

    Neuenschwander, AL et al. ATLAS / ICESat-2 L3A Height for soil and vegetation, version 3 (NASA National Snow and Ice Data Center Distributed Active Archive Center, accessed October 20, 2020); https://nsidc.org/data/ATL08/versions/3

  • 40.

    Neuenschwander, A. & Pitts, K. The ATL08 Land and Vegetation Product for the ICESat-2 Mission. Remote sensing environment. 221, 247–259 (2019).

    ADS Google Scholar

  • 41.

    Neuenschwander, AL & Pitts, K. Algorithm-theoretical basis document (ATBD) for land-vegetation products (ATL08) Release 002 https://icesat-2.gsfc.nasa.gov/sites/default/files/page_files/ICESat2_ATL08_ATBD_r002_v2.pdf (2019).

  • 42.

    Yamazaki, D. et al. MERIT Hydro: a high-resolution global hydrography map based on the latest topography dataset. Water Resour. Res. 55, 5053–5073 (2019).

    ADS Google Scholar

  • 43.

    Birkett, CM et al. G-REALM: a tool for monitoring lake / reservoirs for water resources and local safety assessment. In American Geophysical Union Fall Meeting https://agu.confex.com/agu/fm18/meetingapp.cgi/Paper/374138 (2018).

  • 44.

    Lehner, B. & Grill, G. Global river hydrography and network routing: baseline data and new approaches to studying the world’s major river systems. Hydrol. Process 27, 2171–2186 (2013).

    ADS Google Scholar

  • 45.

    Global runoff data center. Most important river basins in the world (Consulted Federal Institute of Hydrology, 15 May 2020); https://www.bafg.de/GRDC/EN/02_srvcs/22_gslrs/221_MRB/riverbasins_node.html

  • 46.

    Parrish, CE et al. Validation of ICESat-2 ATLAS bathmetry and analysis of ATLAS ‘batimetric mapping performance. The distance. 11, 1634 (2019).

    ADS Google Scholar

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