The community Noah land surface model with multiparameterization options (Noah-MP): 2. Evaluation over global river basins

Zong Liang Yang, Guo-Yue Niu, Kenneth E. Mitchell, Fei Chen, Michael B. Ek, Michael Barlage, Laurent Longuevergne, Kevin Manning, Dev Niyogi, Mukul Tewari, Youlong Xia

Research output: Contribution to journalArticle

175 Citations (Scopus)

Abstract

The augmented Noah land surface model described in the first part of the two-part series was evaluated here over global river basins. Across various climate zones, global-scale tests can reveal a model's weaknesses and strengths that a local-scale testing cannot. In addition, global-scale tests are more challenging than local- and catchment-scale tests. Given constant model parameters (e. g., runoff parameters) across global river basins, global-scale tests are more stringent. We assessed model performance against various satellite and ground-based observations over global river basins through six experiments that mimic a transition from the original Noah LSM to the fully augmented version. The model shows transitional improvements in modeling runoff, soil moisture, snow, and skin temperature, despite considerable increase in computational time by the fully augmented Noah-MP version compared to the original Noah LSM. The dynamic vegetation model favorably captures seasonal and spatial variability of leaf area index and green vegetation fraction. We also conducted 36 ensemble experiments with 36 combinations of optional schemes for runoff, leaf dynamics, stomatal resistance, and the β factor. Runoff schemes play a dominant and different role in controlling soil moisture and its relationship with evapotranspiration compared to ecological processes such as β the factor, vegetation dynamics, and stomatal resistance. The 36-member ensemble mean of runoff performs better than any single member over the world's 50 largest river basins, suggesting a great potential of land-based ensemble simulations for climate prediction.

Original languageEnglish (US)
Article numberD12110
JournalJournal of Geophysical Research: Space Physics
Volume116
Issue number12
DOIs
StatePublished - 2011

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river basins
Catchments
land surface
drainage
Runoff
river basin
Rivers
evaluation
runoff
vegetation
soil moisture
Soil moisture
vegetation dynamics
climate
leaf area index
evapotranspiration
Evapotranspiration
climate prediction
R Factors
snow

ASJC Scopus subject areas

  • Atmospheric Science
  • Geophysics
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science

Cite this

The community Noah land surface model with multiparameterization options (Noah-MP) : 2. Evaluation over global river basins. / Yang, Zong Liang; Niu, Guo-Yue; Mitchell, Kenneth E.; Chen, Fei; Ek, Michael B.; Barlage, Michael; Longuevergne, Laurent; Manning, Kevin; Niyogi, Dev; Tewari, Mukul; Xia, Youlong.

In: Journal of Geophysical Research: Space Physics, Vol. 116, No. 12, D12110, 2011.

Research output: Contribution to journalArticle

Yang, ZL, Niu, G-Y, Mitchell, KE, Chen, F, Ek, MB, Barlage, M, Longuevergne, L, Manning, K, Niyogi, D, Tewari, M & Xia, Y 2011, 'The community Noah land surface model with multiparameterization options (Noah-MP): 2. Evaluation over global river basins', Journal of Geophysical Research: Space Physics, vol. 116, no. 12, D12110. https://doi.org/10.1029/2010JD015140
Yang, Zong Liang ; Niu, Guo-Yue ; Mitchell, Kenneth E. ; Chen, Fei ; Ek, Michael B. ; Barlage, Michael ; Longuevergne, Laurent ; Manning, Kevin ; Niyogi, Dev ; Tewari, Mukul ; Xia, Youlong. / The community Noah land surface model with multiparameterization options (Noah-MP) : 2. Evaluation over global river basins. In: Journal of Geophysical Research: Space Physics. 2011 ; Vol. 116, No. 12.
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