The incorporation of an organic soil layer in the Noah-MP land surface model
and its evaluation over a boreal aspen forest

Chen, Liang; Li, Yanping; Chen, Fei; Barr, Alan G.; Barlage, Michael; Wan, Biao

doi:10.5194/acp-16-8375-2016

Cited by 31 publications

(20 citation statements)

References 43 publications

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“…Due to the low thermal conductivity, soil organic matter generally prevents heat into the soil column (Fisher et al, 2016; Koven et al, 2009). Consistent with the study of Gao et al (2015) and Chen et al (2016), the cooling effect of SOM (Lawrence & Slater, 2008) results in a lower ST and delayed thawing process in this study, especially that of deep soils (Figures 3 and 4, Table 4). The inability of LSMs to accurately simulate the soil moisture of the QTP has been widely reported (Chen et al, 2019).…”

Section: Discussionsupporting

confidence: 92%

Improving the Noah‐MP Model for Simulating Hydrothermal Regime of the Active Layer in the Permafrost Regions of the Qinghai‐Tibet Plateau

Zhu

et al. 2020

JGR Atmospheres

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Soil hydrothermal regime of the active layer in the permafrost regions of the Qinghai‐Tibet Plateau (QTP) is important to the underlying permafrost and the climate change dynamics in Asia. However, a large bias still exists in current land surface models in the representation of soil temperature and moisture. This study assessed and augmented the Noah land surface model with multiparameterization options (Noah‐MP) for simulating soil hydrothermal dynamics at the Tanggula (alpine meadow) and Beiluhe (alpine swamp) stations located in the permafrost regions of the QTP. The results showed that the default Noah‐MP tended to underestimate soil temperature and moisture. Specifically, the default model overestimated the snow depth and duration due to the low snow sublimation rate. This resulted in a cold deviation in the soil temperature at two stations. Such underestimation was reduced by introducing a scheme that considered the sublimation loss from wind. Moreover, the remaining cold bias in the soil profiles of two stations was greatly resolved by a combined scheme of roughness length for heat (Z0h) and undercanopy aerodynamic resistance (ra,g). A soil thermal conductivity scheme, which can produce more realistic soil thermal conductivity in frozen soil, further improved the deep soil temperature simulation. The consideration of soil organic matter could mitigate the underestimation of the shallow soil moisture to some extent, but this improvement was more obvious at the Tanggula station, which had coarser mineral soil than the Beiluhe station.

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Section: Discussionsupporting

confidence: 92%

Improving the Noah‐MP Model for Simulating Hydrothermal Regime of the Active Layer in the Permafrost Regions of the Qinghai‐Tibet Plateau

Zhu

et al. 2020

JGR Atmospheres

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“…Yetemen, Ireson, Barr, Melton, and Black () demonstrated the overestimation of ET at the OJP site applying coupled Canadian Land Surface Schemes and Canadian Terrestrial Ecosystem Model (CLASS‐CTEM; V. Arora, ). L. Chen et al () applied NOAH‐MP to the OA site and found that ET was overestimated in the spring and underestimated in the summer, except during drought conditions, when it was slightly overestimated. They also found the simulations were improved by including an organic soil layer in the model.…”

Section: Introductionmentioning

confidence: 99%

Controls on evapotranspiration from jack pine forests in the Boreal Plains Ecozone

Nazarbakhsh

Ireson

Barr

2019

Hydrological Processes

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The exchanges of water, energy and carbon between the land surface and the atmosphere are tightly coupled, so that errors in simulating evapotranspiration lead to errors in simulating both the water and carbon balances. Areas with seasonally frozen soils present a particular challenge due to the snowmelt-dominated hydrology and the impact of soil freezing on the soil hydraulic properties and plant root water uptake. Land surface schemes that have been applied in high latitudes often have reported problems with simulating the snowpack and runoff. Models applied at the Boreal Ecosystem Research and Monitoring Sites in central Saskatchewan have consistently over-predicted evapotranspiration as compared with flux tower estimates.We assessed the performance of two Canadian land surface schemes (CLASS and CLASS-CTEM) for simulating point-scale evapotranspiration at an instrumented jack pine sandy upland site in the southern edge of the boreal forest in Saskatchewan, Canada. Consistent with past reported results, these models over-predicted evapotranspiration, as compared with flux tower observations, but only in the spring period. Looking systematically at soil properties and vegetation characteristics, we found that the dominant control on evapotranspiration within these models was the canopy conductance. However, the problem of excessive spring ET could not be solved satisfactorily by changing the soil or vegetation parameters. The model overestimation of spring ET coincided with the overestimation of spring soil liquid water content. Improved algorithms for the infiltration of snowmelt into frozen soils and plant-water uptake during the snowmelt and soil thaw periods may be key to addressing the biases in spring ET. K E Y W O R D S

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“…Multiple options are available for surface water infiltration and runoff, and groundwater transfer and storage including water table depth to an unconfined aquifer. Recent evaluation efforts showed that Noah‐MP improves the simulation of land‐surface water and heat exchange over different underlying surfaces such as snowpack, frozen soil, grassland, and forest (Barlage et al, ; Chen et al, , ; Gao et al, ; Yang et al, ) and demonstrated the utility of Noah‐MP in assessing land surface modeling uncertainties (Zhang et al, ).…”

Section: Introductionmentioning

confidence: 99%

“…The new Noah-MP LSM uses multiple options for key land-atmosphere interaction processes to improve major Noah weaknesses in representing the seasonal and annual cycle of snow, hydrology, and vegetation . Unlike the Noah bulk surface treatment, Noah-MP contains a distinct vegetation canopy layer defined by a canopy top and bottom, crown radius, and leaves, with prescribed dimensions, orientation, density, and radiometric properties that allow (Barlage et al, 2015;Chen et al, 2014Chen et al, , 2016Gao et al, 2015;Yang et al, 2011) and demonstrated the utility of Noah-MP in assessing land surface modeling uncertainties (Zhang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the WRF‐Urban Modeling System Coupled to Noah and Noah‐MP Land Surface Models Over a Semiarid Urban Environment

et al. 2018

Self Cite

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We have augmented the existing capabilities of the integrated Weather Research and Forecasting (WRF)‐urban modeling system by coupling three urban canopy models (UCMs) available in the WRF model with the new community Noah with multiparameterization options (Noah‐MP) land surface model (LSM). The WRF‐urban modeling system's performance has been evaluated by conducting six numerical experiments at high spatial resolution (1 km horizontal grid spacing) during a 15 day clear‐sky summertime period for a semiarid urban environment. To assess the relative importance of representing urban surfaces, three different urban parameterizations are used with the Noah and Noah‐MP LSMs, respectively, over the two major cities of Arizona: Phoenix and Tucson metropolitan areas. Our results demonstrate that Noah‐MP reproduces somewhat better than Noah the daily evolution of surface skin temperature and near‐surface air temperature (especially nighttime temperature) and wind speed. Concerning the urban areas, bulk urban parameterization overestimates nighttime 2 m air temperature compared to the single‐layer and multilayer UCMs that reproduce more accurately the daily evolution of near‐surface air temperature. Regarding near‐surface wind speed, only the multilayer UCM was able to reproduce realistically the daily evolution of wind speed, although maximum winds were slightly overestimated, while both the single‐layer and bulk urban parameterizations overestimated wind speed considerably. Based on these results, this paper demonstrates that the new community Noah‐MP LSM coupled to an UCM is a promising physics‐based predictive modeling tool for urban applications.

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The incorporation of an organic soil layer in the Noah-MP land surface model and its evaluation over a boreal aspen forest

Cited by 31 publications

References 43 publications

Improving the Noah‐MP Model for Simulating Hydrothermal Regime of the Active Layer in the Permafrost Regions of the Qinghai‐Tibet Plateau

Improving the Noah‐MP Model for Simulating Hydrothermal Regime of the Active Layer in the Permafrost Regions of the Qinghai‐Tibet Plateau

Controls on evapotranspiration from jack pine forests in the Boreal Plains Ecozone

Evaluation of the WRF‐Urban Modeling System Coupled to Noah and Noah‐MP Land Surface Models Over a Semiarid Urban Environment

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