The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements

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

Research output: Contribution to journalArticle

589 Citations (Scopus)

Abstract

This first paper of the two-part series describes the objectives of the community efforts in improving the Noah land surface model (LSM), documents, through mathematical formulations, the augmented conceptual realism in biophysical and hydrological processes, and introduces a framework for multiple options to parameterize selected processes (Noah-MP). The Noah-MP's performance is evaluated at various local sites using high temporal frequency data sets, and results show the advantages of using multiple optional schemes to interpret the differences in modeling simulations. The second paper focuses on ensemble evaluations with long-term regional (basin) and global scale data sets. The enhanced conceptual realism includes (1) the vegetation canopy energy balance, (2) the layered snowpack, (3) frozen soil and infiltration, (4) soil moisture-groundwater interaction and related runoff production, and (5) vegetation phenology. Sample local-scale validations are conducted over the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE) site, the W3 catchment of Sleepers River, Vermont, and a French snow observation site. Noah-MP shows apparent improvements in reproducing surface fluxes, skin temperature over dry periods, snow water equivalent (SWE), snow depth, and runoff over Noah LSM version 3.0. Noah-MP improves the SWE simulations due to more accurate simulations of the diurnal variations of the snow skin temperature, which is critical for computing available energy for melting. Noah-MP also improves the simulation of runoff peaks and timing by introducing a more permeable frozen soil and more accurate simulation of snowmelt. We also demonstrate that Noah-MP is an effective research tool by which modeling results for a given process can be interpreted through multiple optional parameterization schemes in the same model framework.

Original languageEnglish (US)
Article numberD12109
JournalJournal of Geophysical Research: Space Physics
Volume116
Issue number12
DOIs
StatePublished - 2011

Fingerprint

snow
Snow
land surface
drainage
Runoff
evaluation
Frozen soils
permafrost
snow water equivalent
simulation
runoff
skin
Skin
phenology
canopies (vegetation)
Climatology
climatology
soil moisture
Water
diurnal variations

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) : 1. Model description and evaluation with local-scale measurements. / Niu, Guo-Yue; Yang, Zong Liang; Mitchell, Kenneth E.; Chen, Fei; Ek, Michael B.; Barlage, Michael; Kumar, Anil; Manning, Kevin; Niyogi, Dev; Rosero, Enrique; Tewari, Mukul; Xia, Youlong.

In: Journal of Geophysical Research: Space Physics, Vol. 116, No. 12, D12109, 2011.

Research output: Contribution to journalArticle

Niu, Guo-Yue ; Yang, Zong Liang ; Mitchell, Kenneth E. ; Chen, Fei ; Ek, Michael B. ; Barlage, Michael ; Kumar, Anil ; Manning, Kevin ; Niyogi, Dev ; Rosero, Enrique ; Tewari, Mukul ; Xia, Youlong. / The community Noah land surface model with multiparameterization options (Noah-MP) : 1. Model description and evaluation with local-scale measurements. In: Journal of Geophysical Research: Space Physics. 2011 ; Vol. 116, No. 12.
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