Continental runoff into the oceans (1950-2008)

E.A. Clark, J. Sheffield, M.T.H. van Vliet, Bart Nijssen, D.P. Lettenmaier

Research output: Contribution to journalArticleAcademicpeer-review

25 Citations (Scopus)


A common term in the continental and oceanic components of the global water cycle is freshwater discharge to the oceans. Many estimates of the annual average global discharge have been made over the past 100 yr with a surprisingly wide range. As more observations have become available and continental-scale land surface model simulations of runoff have improved, these past estimates are cast in a somewhat different light. In this paper, a combination of observations from 839 river gauging stations near the outlets of large river basins is used in combination with simulated runoff fields from two implementations of the Variable Infiltration Capacity land surface model to estimate continental runoff into the world's oceans from 1950 to 2008. The gauges used account ~58% of continental areas draining to the ocean worldwide, excluding Greenland andAntarctica. This study estimates that flows to the world's oceans globally are 44 200 (±2660) km3 yr-1 (9% from Africa, 37% from Eurasia, 30% from South America, 16% from North America, and 8% from Australia-Oceania). These estimates are generally higher than previous estimates, with the largest differences in South America and Australia-Oceania. Given that roughly 42% of ocean-draining continental areas are ungauged, it is not surprising that estimates are sensitive to the land surface and hydrologic model (LSM) used, even with a correction applied to adjust for model bias. The results show that more and better in situ streamflow measurements would be most useful in reducing uncertainties, in particular in the southern tip of South America, the islands of Oceania, and central Africa.

Original languageEnglish
Pages (from-to)1502-1520
JournalJournal of Hydrometeorology
Issue number4
Publication statusPublished - 2015


  • Hydrologic cycle
  • Hydrology
  • Land surface model
  • Rivers
  • Water budget

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