Journal Article FZJ-2019-04141

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Improvement of surface run‐off in the hydrological model ParFlow by a scale‐consistent river parameterization

 ;  ;  ;

2019
Wiley New York, NY

Hydrological processes 33(14), 2006-2019 () [10.1002/hyp.13448]

This record in other databases:    

Please use a persistent id in citations:   doi:

Abstract: We propose an improvement of the overland‐flow parameterization in a distributed hydrological model, which uses a constant horizontal grid resolution and employs the kinematic wave approximation for both hillslope and river channel flow. The standard parameterization lacks any channel flow characteristics for rivers, which results in reduced river flow velocities for streams narrower than the horizontal grid resolution. Moreover, the surface areas, through which these wider model rivers may exchange water with the subsurface, are larger than the real river channels potentially leading to unrealistic vertical flows. We propose an approximation of the subscale channel flow by scaling Manning's roughness in the kinematic wave formulation via a relationship between river width and grid cell size, following a simplified version of the Barré de Saint‐Venant equations (Manning–Strickler equations). The too large exchange areas between model rivers and the subsurface are compensated by a grid resolution‐dependent scaling of the infiltration/exfiltration rate across river beds. We test both scaling approaches in the integrated hydrological model ParFlow. An empirical relation is used for estimating the true river width from the mean annual discharge. Our simulations show that the scaling of the roughness coefficient and the hydraulic conductivity effectively corrects overland flow velocities calculated on the coarse grid leading to a better representation of flood waves in the river channels.

Classification:

Contributing Institute(s):
  1. Agrosphäre (IBG-3)
  2. John von Neumann - Institut für Computing (NIC)
Research Program(s):
  1. 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) (POF3-255)

Appears in the scientific report 2019
Database coverage:
Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Agriculture, Biology and Environmental Sciences ; IF < 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection
Click to display QR Code for this record

The record appears in these collections:
Document types > Articles > Journal Article
Institute Collections > IBG > IBG-3
Workflow collections > Public records
Publications database
Open Access
NIC

 Record created 2019-08-09, last modified 2022-03-25