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  • Area; Error, absolute; GRACE satellite data, processed; International Polar Year (2007-2008); ipy; IPY; ORDINAL NUMBER; River; Water storage, trend  (1)
  • Hydrology  (1)
  • Inner_Tibet_Region; MULT; Multiple investigations  (1)
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  • 1
    Publication Date: 2022-01-12
    Description: Abstract
    Description: In ungauged basins, space-based information is essential for the monitoring of the hydrological water cycle, in particular in regions undergoing large flood events where satellite data may be used as input to hydrodynamic models. A method for near 3D flood monitoring has been developed which uses synergies between radar altimetry and high temporal resolution multi-spectral satellites. Surface reflectances from the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra instrument are used to map areas of open water as well as aquatic vegetation on a weekly basis, while water level variations in the inundated areas are provided by the radar altimetry from the Topex/Poseidon (T/P) and Envisat satellites. We applied this synergistic approach to several regions across the world (Diamantina Floodplain in Australia, Inner Niger Delta and Lake Chad in Africa, Andean Altiplano in South America, and Ganga River Delta in Asia). Based mainly on optical and Near Infra Red (NIR) imagery for detecting the extent of inundation, this method is well adapted for arid and semi-arid regions, but less for equatorial or boreal ones due to cloud coverage. This work emphasises the limitations of current remote sensing techniques for full 3D description of water storage variability in ungauged basins, and provides a good introduction to the need and the potential use of the future Surface Water and Ocean Topography (SWOT) satellite mission.
    Description: SeriesInformation
    Description: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 9-23
    Keywords: Other ; None ; MODIS ; Remote Sensing ; Hydrology
    Type: Text , Book Section
    Format: 4704 Kilobytes
    Format: 15 Pages
    Format: PDF
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  • 2
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    In:  Supplement to: Yao, Fangfang; Wang, Jida; Yang, Kehan; Wang, Chao; Walter, Blake A; Crétaux, Jean-François (2018): Lake storage variation on the endorheic Tibetan Plateau and its attribution to climate change since the new millennium. Environmental Research Letters, 13(6), 064011, https://doi.org/10.1088/1748-9326/aab5d3
    Publication Date: 2023-08-19
    Description: Alpine lakes in the interior of Tibet, the endorheic Changtang Plateau (CP), serve as "sentinels" of regional climate change. Recent studies indicated that accelerated climate change has driven a widespread area expansion in lakes across the CP, but comprehensive and accurate quantifications of their storage changes are hitherto rare. This study integrated optical imagery and digital elevation models to uncover the fine spatial details of lake water storage (LWS) changes across the CP at an annual timescale after the new millennium (from 2002 to 2015). Validated by hypsometric information based on long-term altimetry measurements, our estimated LWS variations outperform some existing studies with reduced estimation biases and improved spatiotemporal coverages. The net LWS increased at an average rate of 7.34 (±0.62) Gt yr-1 (cumulatively 95.42 (±8.06) Gt), manifested as a dramatic monotonic increase of 9.05 (±0.65) Gt yr-1 before 2012, a deceleration and pause in 2013-2014, and then an intriguing decline after 2014. Observations from the Gravity Recovery and Climate Experiment satellites (GRACE) reveal that the LWS pattern is in remarkable agreement with that of the regional mass changes: a net effect of precipitation minus evapotranspiration (P-ET) in endorheic basins. Despite some regional variations, P-ET explains ~70% of the net LWS gain from 2002 to 2012 and the entire LWS loss after 2013. These findings clearly suggest that the water budget from net precipitation (i.e., P-ET) dominates those of glacier melt and permafrost degradation, and thus acts as the primary contributor to recent lake area/volume variations in the endorheic Tibet.
    Keywords: Inner_Tibet_Region; MULT; Multiple investigations
    Type: Dataset
    Format: application/zip, 11.1 MBytes
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  • 3
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    In:  Supplement to: Llovel, William; Becker, Melanie; Cazenave, Anny; Crétaux, Jean-François; Ramillien, Guillaume (2010): Global land water storage change from GRACE over 2002-2009; Inference on sea level. Comptes Rendus Geoscience, 342(2), 179-188, https://doi.org/10.1016/j.crte.2009.12.004
    Publication Date: 2023-12-13
    Description: Global change in land water storage and its effect on sea level is estimated over a 7-year time span (August 2002 to July 2009) using space gravimetry data from GRACE. The 33 World largest river basins are considered. We focus on the year-to-year variability and construct a total land water storage time series that we further express in equivalent sea level time series. The short-term trend in total water storage adjusted over this 7-year time span is positive and amounts to 80.6 ± 15.7 km**3/yr (net water storage excess). Most of the positive contribution arises from the Amazon and Siberian basins (Lena and Yenisei), followed by the Zambezi, Orinoco and Ob basins. The largest negative contributions (water deficit) come from the Mississippi, Ganges, Brahmaputra, Aral, Euphrates, Indus and Parana. Expressed in terms of equivalent sea level, total water volume change over 2002-2009 leads to a small negative contribution to sea level of -0.22 ± 0.05 mm/yr. The time series for each basin clearly show that year-to-year variability dominates so that the value estimated in this study cannot be considered as representative of a long-term trend. We also compare the interannual variability of total land water storage (removing the mean trend over the studied time span) with interannual variability in sea level (corrected for thermal expansion). A correlation of ~0.6 is found. Phasing, in particular, is correct. Thus, at least part of the interannual variability of the global mean sea level can be attributed to land water storage fluctuations.
    Keywords: Area; Error, absolute; GRACE satellite data, processed; International Polar Year (2007-2008); ipy; IPY; ORDINAL NUMBER; River; Water storage, trend
    Type: Dataset
    Format: text/tab-separated-values, 132 data points
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