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Table 2:


World largest 50 rivers (by the river mouth flow rate Vol). Listed are long-term station (Stn) and river transport model (RTM) simulated river flow (in km3/yr) at the station location, and the estimated annual volume (Vol) and drainage area (D.A., based on STN-30p, in 10^3 km2) at the river mouth. The composite annual runoff data of Fekete et al.(2000) were used in the RTM simulation. nyr is station record length in years, lon and lat are longitude and latitude for the station.
-----------------------------------------------------------------------------------------------
 No   Name       Vol_at_Station River_Mouth  Stn   nyr    lon    lat   Station, Country
                  Stn±s.d.  RTM   Vol  D.A.  D.A.      
-----------------------------------------------------------------------------------------------

  1  Amazon      5330±426  5083  6642  5854  4619   49   -55.5   -2.0  Obidos, Brazil      
  2  Congo       1271±130  1266  1308  3699  3475   81    15.3   -4.3  Kinshasa, Congo       
  3  Orinoco      984±112  1141  1129  1039   836   66   -63.6    8.1  Pte Angostu, Venezuela   
  4  Changjiang   910±133   996   944  1794  1705   49   117.6   30.8  Datong, China       
  5  Brahmaputra  613± 51   617   628   583   555    6    89.7   25.2  Bahadurabad, Bangladesh  
  6  Mississippi  536±130   458   610  3203  2896   71   -90.9   32.3  Vicksburg, USA         
  7  Yenisey      577± 42   525   599  2582  2440   60    86.5   67.4  Igarka, Russia      
  8  Paraná       476± 96   589   568  2661  2346   89   -60.7  -32.7  Timbues, Argentina   
  9  Lena         526± 63   456   531  2418  2430   60   127.4   70.7  Kusur, Russia      
 10  Mekong       292± 33   271   525   774   545    7   105.8   15.1  Pakse, Laos        
 11  Tocantins    356± 64   398   511   769   742   20   -49.7   -3.8  Tucurui, Brazil      
 12  Tapajos      337± 32   545   415   502   387   24   -56.8   -5.2  Jatoba, Brazil      
 13  Ob           397± 61   433   412  2570  2430   65    66.6   66.6  Salekhard, Russia      
 14  Ganges       382± 76   428   404   956   952   21    88.1   24.5  Farakka, India       
 15  Irrawaddy    258± 29   324   393   406   118   11    96.0   21.9  Sagaing, Myanmar(Burm
 16  St Lawrence  226± 26   318   363  1267   774   64   -74.7   45.0  Cornwall ON, USA         
 17  Amur         312± 60   359   354  2903  1730   54   137.0   50.5  Komsomolsk, Russia      
 18  Xingu        272± 44   325   302   497   446   26   -52.2   -3.2  Altamira, Brazil      
 19  Mackenzie    288± 29   260   290  1713  1660   21  -133.7   67.5  Arctic Red, Canada      
 20  Xijiang      221± 45   179   270   409   330   46   111.3   23.5  Wuzhou, China       
 21  Columbia     172± 33   194   252   724   614  121  -121.2   45.6  The Dalles, USA         
 22  Magdalena    231± 35   175   231   252   257   19   -74.9   10.2  Calamar, Colombia    
 23  Uruguay      165± 54    65   228   356   249   12   -58.0  -31.4  Concordia, Argentina   
 24  Yukon        203± 18   203   212   852   831   21  -162.9   61.9  Pilot Stn, Alaska      
 25  Atrato        56±  7    33   204    34     9   24   -76.7    6.2  Tagachi, Colombia    
 26  Danube       202± 36   166   202   788   807   80    28.7   45.2  Ceatal Izma, Romania     
 27  Niger         33±  9   102   193  2240  1516   29     3.5   11.9  Gaya, Niger       
 28  Ogooué       148± 22   139   186   210   204   42    10.2   -0.7  Lambaréné, Gabon       
 29  Essequibo     69± 15    25   154   151    67   13   -58.6    5.8  Plantain Is, Guyana      
 30  Fraser        86± 11   121   144   245   217   79  -121.4   49.4  Hope, Canada      
 31  Pechora      135± 16   126   140   302   312   36    52.2   67.6  Oksino, Russia      
 32  Nelson        70± 17    84   126  1047   997   34   -97.9   54.8  u/s Bladder, Canada      
 33  Khatanga      78±  3    69   124   371   275   13   102.5   72.0  Khatanga, Russia      
 34  Sepik        119±  9   112   123    77    41    4   142.2   -4.2  Ambunti, Papua New Gu
 35  Kolyma        99± 26    83   118   666   526   17   158.7   68.7  Kolymskoye, Russia      
 36  Zambeze      105± 44   404   117  1989   940    4    33.6  -16.1  Matundo-Cai, Mozambique  
 37  Severnaya Dv 106± 20   176   112   367   348  112    41.9   64.1  Ust Pinega, Russia      
 38  Indus         89± 25   125   104  1143   975   31    68.3   25.4  Kotri, Pakistan    
 39  Sanaga        63±  9    65    99   129   132   37    10.1    3.8  Edéa, Cameroon    
 40  Godavari      97± 32    86    97   312   299   74    81.8   16.9  Polavaram, India       
 41  Rajang        70± 10    83    93    56    34   32   112.9    2.0  Kapit Wharf, Malaysia    
 42  Sao Francisco 89± 28   127    90   615   623   56   -37.0  -10.0  Traipu, Brazil      
 43  Usumacinta    59± 12    57    89    68    51   35   -91.5   17.4  Boca del Ce, Mexico      
 44  Maroni        59± 14    11    86    65    64    4   -54.5    5.0  Langa Tabbe, Surinam     
 45  Rhine         73± 14    86    75   165   180    6     6.1   51.8  Lobith, Netherlands 
 46  Purari        74± 13    60    74    34    29    6   145.1   -7.0  Wabo Dam, Papua New Gu
 47  Caniapiscau   43± 13    11    73   143    87   31   -69.2   57.4  Chute de la, Canada      
 48  Mahanadi      60± 33    63    73   141   132    6    84.0   20.8  Kaimundi, India       
 49  Sacramento    21±  7    11    69   193    61   31  -121.5   38.6  Sacramento, USA         
 50  Jacui         55± 11    50    69    81    71    5   -51.5  -30.0  Passo do Ra, Brazil      

__    Total:    17492±552#  18079 21152 50415 42364
___________________________________________________________________________________________
 # This number, which was estimated as the square root of the sum of the variance of the 
   listed rivers, provides an estimate for the true s.d. of the total volume.  

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