Evaluating Global Streamflow Simulations by a Physically-based Routing Model Coupled with the Community Land Model
Abstract
Accurately simulating hydrological processes such as streamflow is important in land surface modeling because they can influence other land surface processes, such as carbon cycle dynamics, through various interaction pathways. This study aims to evaluate the global application of a recently developed Model for Scale Adaptive River Transport (MOSART)coupled with theCommunity Land Model, version 4 (CLM4). To support the global implementation of MOSART, a comprehensive global hydrography dataset has been derived at multiple resolutions from different sources. The simulated runoff fields are first evaluated against the composite runoff map from theGlobal RunoffData Centre (GRDC). The simulated streamflow is then shown to reproduce reasonably well the observed daily andmonthly streamflow at over 1600 of the world’smajor river stations in terms of annual, seasonal, and daily flow statistics. The impacts of model structure complexity are evaluated, and results show that the spatial and temporal variability of river velocity simulated byMOSART is necessary for capturing streamflow seasonality and annual maximum flood. Other sources of the simulation bias include uncertainties in the atmospheric forcing, as revealed by simulations driven by four different climate datasets, and human influences, based on a classification framework that quantifies the impact levels of large dams on the streamflow worldwide.
- Authors:
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1182898
- Report Number(s):
- PNNL-SA-101748
KP1703020
- Grant/Contract Number:
- AC05-76RL01830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Hydrometeorology, 16(2):948-971
- Additional Journal Information:
- Journal Name: Journal of Hydrometeorology, 16(2):948-971
- Country of Publication:
- United States
- Language:
- English
- Subject:
- global evaluation, routing model, community land model
Citation Formats
Li, Hongyi, Leung, Lai-Yung R., Getirana, Augusto, Huang, Maoyi, Wu, Huan, Xu, Yubin, Guo, Jiali, and Voisin, Nathalie. Evaluating Global Streamflow Simulations by a Physically-based Routing Model Coupled with the Community Land Model. United States: N. p., 2015.
Web. doi:10.1175/JHM-D-14-0079.1.
Li, Hongyi, Leung, Lai-Yung R., Getirana, Augusto, Huang, Maoyi, Wu, Huan, Xu, Yubin, Guo, Jiali, & Voisin, Nathalie. Evaluating Global Streamflow Simulations by a Physically-based Routing Model Coupled with the Community Land Model. United States. https://doi.org/10.1175/JHM-D-14-0079.1
Li, Hongyi, Leung, Lai-Yung R., Getirana, Augusto, Huang, Maoyi, Wu, Huan, Xu, Yubin, Guo, Jiali, and Voisin, Nathalie. Wed .
"Evaluating Global Streamflow Simulations by a Physically-based Routing Model Coupled with the Community Land Model". United States. https://doi.org/10.1175/JHM-D-14-0079.1. https://www.osti.gov/servlets/purl/1182898.
@article{osti_1182898,
title = {Evaluating Global Streamflow Simulations by a Physically-based Routing Model Coupled with the Community Land Model},
author = {Li, Hongyi and Leung, Lai-Yung R. and Getirana, Augusto and Huang, Maoyi and Wu, Huan and Xu, Yubin and Guo, Jiali and Voisin, Nathalie},
abstractNote = {Accurately simulating hydrological processes such as streamflow is important in land surface modeling because they can influence other land surface processes, such as carbon cycle dynamics, through various interaction pathways. This study aims to evaluate the global application of a recently developed Model for Scale Adaptive River Transport (MOSART)coupled with theCommunity Land Model, version 4 (CLM4). To support the global implementation of MOSART, a comprehensive global hydrography dataset has been derived at multiple resolutions from different sources. The simulated runoff fields are first evaluated against the composite runoff map from theGlobal RunoffData Centre (GRDC). The simulated streamflow is then shown to reproduce reasonably well the observed daily andmonthly streamflow at over 1600 of the world’smajor river stations in terms of annual, seasonal, and daily flow statistics. The impacts of model structure complexity are evaluated, and results show that the spatial and temporal variability of river velocity simulated byMOSART is necessary for capturing streamflow seasonality and annual maximum flood. Other sources of the simulation bias include uncertainties in the atmospheric forcing, as revealed by simulations driven by four different climate datasets, and human influences, based on a classification framework that quantifies the impact levels of large dams on the streamflow worldwide.},
doi = {10.1175/JHM-D-14-0079.1},
journal = {Journal of Hydrometeorology, 16(2):948-971},
number = ,
volume = ,
place = {United States},
year = {Wed Apr 15 00:00:00 EDT 2015},
month = {Wed Apr 15 00:00:00 EDT 2015}
}
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