A simulation of river-basin response to mesoscale meteorological forcing: The Susquehanna River Basin Experiment (SRBEX)

M. N. Lakhtakia, B. Yarnal, D. L. Johnson, R. A. White, D. A. Miller, Z. Yu

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

A mesoscale meteorological model, a surface hydrology model, and a ground-water hydrology model are linked to simulate the hydrographic response of a large river basin to a single storm. Synoptic climatology is employed to choose a representative hydroclimatic event. The mesoscale meteorological model uses three nested domains to simulate relatively high-resolution precipitation over a sub-basin of the Susquehanna River Basin. The hydrology models simulate surface runoff and ground-water baseflow using both analyzed and simulated precipitation. The hydrologic abstractions are handled using both Curve Number and Green-Ampt routines. To support the linkage of the numerical models, special attention is given to data resampling and reprojection. The mesoscale meteorological model simulation captures the spatial and temporal structure of the storm event, while the hydrology models represent the timing of the event well. The Curve Number method generates a realistic hydrograph with both analyzed and simulated precipitation. In contrast, the hydrographic response generated by the Green-Ampt routine is inferior. Several interrelated factors contribute to these results, including: the nature of the precipitation event chosen for the experiment; the tendency of the mesoscale meteorological model to underpredict low intensity, widespread precipitation in this case; and the influence of the surface soil-texture characteristics on infiltration rates.

Original languageEnglish (US)
Pages (from-to)921-937
Number of pages17
JournalJournal of the American Water Resources Association
Volume34
Issue number4
DOIs
StatePublished - Aug 1998

All Science Journal Classification (ASJC) codes

  • Ecology
  • Water Science and Technology
  • Earth-Surface Processes

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