Satellite-based estimates of surface water dynamics in the Congo River Basin

被引:48
作者
Becker, M. [1 ]
Papa, F. [2 ,3 ]
Frappart, F. [2 ,4 ]
Alsdorf, D. [5 ,6 ]
Calmant, S. [2 ]
Santos da Silva, J. [7 ]
Prigent, C. [8 ]
Seyler, F. [9 ]
机构
[1] ULR, CNRS, LIENSs, UMR 7266, 2 Rue Olympe Gouges, La Rochelle, France
[2] UPS, IRD, CNRS, CNES,LIENSs, 14 Ave Edouard Belin, Toulouse, France
[3] Indian Inst Sci, ITEM, IRD IISc N10, Indo French Cell Water Sci, Bangalore, Karnataka, India
[4] UPS, IRD, CNRS, GET,GRGS,UMR 5563, 14 Ave Edouard Belin, Toulouse, France
[5] Ohio State Univ, Byrd Polar & Climate Res Ctr, Columbus, OH 43210 USA
[6] Ohio State Univ, Sch Earth Sci, Columbus, OH 43210 USA
[7] CESTU, UEA, Djalma Batista 3578, Manaus, Amazonas, Brazil
[8] Observ Paris, CNRS, LERMA, Paris, France
[9] IRD UM UG UR, ESPACE DEV IRD, UMR 228, MID 500 Rue JF Breton, Montpellier, France
关键词
Surface water storage; Congo River Basin; Remote sensing; CENTRAL-AFRICA; RAINFALL VARIABILITY; GANGES-BRAHMAPUTRA; WETLAND DYNAMICS; CLIMATE-CHANGE; DIPOLE EVENTS; EAST-AFRICA; ENVISAT; STORAGE; TEMPERATURE;
D O I
10.1016/j.jag.2017.11.015
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
In the Congo River Basin (CRB), due to the lack of contemporary in situ observations, there is a limited understanding of the large-scale variability of its present-day hydrologic components and their link with climate. In this context, remote sensing observations provide a unique opportunity to better characterize those dynamics. Analyzing the Global Inundation Extent Multi-Satellite (GIEMS) time series, we first show that surface water extent (SWE) exhibits marked seasonal patterns, well distributed along the major rivers and their tributaries, and with two annual maxima located: i) in the lakes region of the Lwalaba sub-basin and ii) in the "Cuvette Centrale", including Tumba and Mai-Ndombe Lakes. At an interannual time scale, we show that SWE variability is influenced by ENSO and the Indian Ocean dipole events. We then estimate water level maps and surface water storage (SWS) in floodplains, lakes, rivers and wetlands of the CRB, over the period 2003-2007, using a multi satellite approach, which combines the GIEMS dataset with the water level measurements derived from the ENVISAT altimeter heights. The mean annual variation in SWS in the CRB is 81 +/- 24 km(3) and contributes to 19 +/- 5% of the annual variations of GRACE-derived terrestrial water storage (33 +/- 7% in the Middle Congo). It represents also similar to 6 +/- 2% of the annual water volume that flows from the Congo River into the Atlantic Ocean.
引用
收藏
页码:196 / 209
页数:14
相关论文
共 98 条
[1]   Determination of deforestation rates of the world's humid tropical forests [J].
Achard, F ;
Eva, HD ;
Stibig, HJ ;
Mayaux, P ;
Gallego, J ;
Richards, T ;
Malingreau, JP .
SCIENCE, 2002, 297 (5583) :999-1002
[2]  
Adler RF, 2003, J HYDROMETEOROL, V4, P1147, DOI 10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO
[3]  
2
[4]  
Alsdorf D., 2016, REV GEOPHYS
[5]   Measuring surface water from space [J].
Alsdorf, Douglas E. ;
Rodriguez, Ernesto ;
Lettenmaier, Dennis P. .
REVIEWS OF GEOPHYSICS, 2007, 45 (02)
[6]  
[Anonymous], 1986, IEEE IGARSS
[7]   The relationship of rainfall variability in West Central Africa to sea-surface temperature fluctuations [J].
Balas, N. ;
Nicholson, S. E. ;
Klotter, D. .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2007, 27 (10) :1335-1349
[8]  
Balek J., 1977, HYDROLOGY WATER RESO
[9]   ICE-SHEET ALTIMETER PROCESSING SCHEME [J].
BAMBER, JL .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1994, 15 (04) :925-938
[10]   Combining high-resolution satellite images and altimetry to estimate the volume of small lakes [J].
Baup, F. ;
Frappart, F. ;
Maubant, J. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2014, 18 (05) :2007-2020