Noah-Multiparameterization Land Surface Model (Noah-MP LSM)

Observed and modeled Snow Water Equivalent (SWE) by six land surface models, averaged over 112 SNOTEL sites.

The High-Resolution Land Data Assimilation System (HRLDAS) is an offline driver of the land surface models present in the Weather Research and Forecasting (WRF) model.

HRLDAS uses a combination of observed and analyzed meterological forcing (precipitation, solar and longwave radiation, and surface wind, moisture, temperature) to drive a land-surface model to simulate the evolution of land surface states (e.g., soil moisture and temperature, snow, etc.). The system has been developed to run over WRF domains or over one or more site locations.

The advantage of using HRLDAS as a pre-processor to a WRF simulation is that although the important role of soil moisture in the development of deep-convection has been recognized, it remains the most difficult variable to obtain because there is no routine high-resolution observation of soil moisture at the continental scale. HRLDAS has been developed to fill this gap in the WRF coupled modeling system.

Noah-MP is a land surface model (LSM) using multiple options for key land-atmosphere interaction processes (Niu et al., 2011). Noah-MP contains a separate vegetation canopy defined by a canopy top and bottom, crown radius, and leaves with prescribed dimensions, orientation, density, and radiometric properties. The canopy employs a two-stream radiation transfer approach along with shading effects necessary to achieve proper surface energy and water transfer processes including under-canopy snow processes (Dickinson, 1983; Niu and Yang, 2004). Noah-MP contains a multi-layer snow pack with liquid water storage and melt/refreeze capability and a snow-interception model describing loading/unloading, melt/refreeze capability, and sublimation of canopy-intercepted snow (Yang and Niu 2003; Niu and Yang 2004). Multiple options are available for surface water infiltration and runoff and groundwater transfer and storage including water table depth to an unconfined aquifer (Niu et al., 2007).

The Noah-MP model can be executed by prescribing both the horizontal and vertical density of vegetation using either ground- or satellite-based observations. Another available option is for prognostic vegetation growth that combines a Ball-Berry photosynthesis-based stomatal resistance (Ball et al., 1987) with a dynamic vegetation model (Dickinson et al. 1998) that allocates carbon to various parts of vegetation (leaf, stem, wood and root) and soil carbon pools (fast and slow). The model is capable of distinguishing between C3 and C4 photosynthesis pathways and defines vegetation-specific parameters for plant photosynthesis and respiration.

Noah-MP LSM References

Niu, G.-Y., et al. (2011), The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements. J. Geophys. Res., 116, D12109, doi: 10.1029/2010JD015139.

Noah-MP Version 1.6 (as implemented in WRFv3.6)

Noah-MP Version 1.1 (as implemented in WRFv3.4.1)

Noah-MP Version 1.0 (as implemented in WRFv3.4)

Noah-MP (and Noah) Run-time Tables for Vegetation and Soil Parameters

General parameters-- GENPARM.TBL-- (documentation)
Soil Parameters-- SOILPARM.TBL-- (documentation)
Vegetation Parameters-- VEGPARM.TBL-- (documentation)
Noah-MP Parameters-- MPTABLE.TBL-- (documentation)

Background Surface Fields

Comparisons of Noah-MP versions: Results from the simple 1D drivers for Bondville.

Comparisons of Noah-MP to Noah: Results from the simple 1D drivers for Bondville.

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