Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Towards simplification of hydrologic modeling: identification of dominant processes

Steven L. Markstrom, Lauren E. Hay, Martyn Clark

Hydrology and earth system sciences · 2016

Read source ↗ All evidence

Summary

Abstract. parameter hydrologic model, has been applied to the conterminous US (CONUS). Parameter sensitivity analysis was used to identify: (1) the sensitive input parameters and (2) particular model output variables that could be associated with the dominant hydrologic process(es). Sensitivity values of 35 PRMS calibration parameters were computed using the Fourier amplitude sensitivity test procedure on 110 000 independent hydrologically based spatial modeling units covering the CONUS and then summarized to process (snowmelt, surface runoff, infiltration, soil moisture, evapotranspiration, interflow, baseflow, and runoff) and model performance statistic (mean, coefficient of variation, and autoregressive lag 1). Identified parameters and processes provide insight into model performance a

Source type
Peer-reviewed study
DOI
10.5194/hess-20-4655-2016
Catalogue ID
BFmoef2us2-xcmp21
Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.