Some practical notes on the land surface modeling in the Tibetan Plateau

Yang, Kun; Chen, Yingying; Qin, Jun

doi:10.5194/hess-13-687-2009

Cited by 149 publications

(141 citation statements)

References 36 publications

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“…The winter season is not considered to avoid the effect of the freeze-thaw process, which is not well represented in the standard version of SiB2 (Li and Koike, 2003;Yang et al, 2009). Short wave radiation (downwards), long wave radiation (downwards), wind velocity, air temperature, air humidity, and precipitation recorded by the AWS are used as forcing data.…”

Section: Site and Datamentioning

confidence: 99%

“…It also improves the snow cover and hydrological process simulation. As one of the most influential land surface models, the SiB2 model has been widely implemented in regional and global land surface modeling (Gao et al, 2004;Hanan et al, 2005;Prihodko et al, 2008;Sen et al, 2000;Yang et al, 2009).…”

Section: Model and Parameter Settingmentioning

confidence: 99%

“…The Tibetan Plateau has some unique features as a result of its high altitude, extreme environment, and climate. Yang et al (2009) summarized three main characteristics of the Tibetan Plateau: (1) strong diurnal change in the surface energy budget owing to strong solar heating, (2) contrast between the dry western region and the wet eastern region, and (3) significant seasonal variation in the surface energy budget in the central and eastern regions.…”

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confidence: 99%

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Vegetation physiological parameter setting in the Simple Biosphere model 2 (SiB2) for alpine meadows in the upper reaches of Heihe river

Sun

Liu

2014

Sci. China Earth Sci.

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Land surface process modeling of high and cold area with vegetation cover has not yielded satisfactory results in previous applications. In this study, land surface energy budget is simulated using a land surface model for the A'rou meadow in the upper-reach area of the Heihe River Basin in the eastern Tibetan Plateau. The model performance is evaluated using the in-situ observations and remotely sensed data. Sensible and soil heat fluxes are overestimated while latent heat flux is underestimated when the default parameter setting is used. By analyzing physical and physiological processes and the sensitivities of key parameters, the inappropriate default setting of optimum growth and inhibition temperatures is identified as an important reason for the bias. The average daytime temperature during the period of fastest vegetation growth (June and July) is adopted as the optimum growth temperature, and the inhibition temperatures were adjusted using the same increment as the optimum temperature based on the temperature acclimation. These adjustments significantly reduced the biases in sensible, latent, and soil heat fluxes. SiB2, land surface process, alpine meadow, Heihe River Basin, Tibetan Plateau Citation:Li Y, Sun R, Liu S M. 2014. Vegetation physiological parameter setting in the Simple Biosphere model 2 (SiB2) for alpine meadows in the upper reaches of Heihe river. Science China: Earth Sciences,

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Section: Site and Datamentioning

confidence: 99%

Section: Model and Parameter Settingmentioning

confidence: 99%

mentioning

confidence: 99%

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Vegetation physiological parameter setting in the Simple Biosphere model 2 (SiB2) for alpine meadows in the upper reaches of Heihe river

Sun

Liu

2014

Sci. China Earth Sci.

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“…Better understanding and modeling of the frozen soil processes on the plateau is thus imperative because important sources of water and heat associated with freeze-thaw transitions are expected to be affected by climatic changes. In recent years, modeling of surface water and energy budgets on the Tibetan Plateau has been greatly advanced (Yang et al 2009;Zheng et al 2016Zheng et al , 2017, and current LSMs have been thoroughly investigated for a better simulation of soil water and temperature profiles (Chen et al 2010;Zeng et al 2012;Zheng et al 2014Zheng et al , 2015c. Most of the studies are, however, mainly focused on thawed soil during the warm monsoon season, and fewer report on frozen soil (Cuo et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Noah Frozen Soil Parameterization for Application to a Tibetan Meadow Ecosystem

Zheng

Velde

et al. 2017

Journal of Hydrometeorology

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This study evaluates the Noah land surface model (LSM) in its ability to simulate water and heat exchanges over frozen ground in a Tibetan meadow ecosystem. A comprehensive dataset including in situ micrometeorological and soil moisture-temperature profile measurements collected between November and March is utilized, and analyses of the measurements reveal that the measured soil freezing characteristics are better captured by 1) modifying the parameter b l implemented in the current Noah LSM that constrains the shape parameter of soil water retention curve utilized by the water potential freezing point depression equation to produce appropriate liquid water content u liq under subzero temperature conditions and 2) neglecting the ice effect on soil-specific surface and thus matric potential via setting the empirical parameter that accounts for the effect of increase in specific surface of soil particles and ice-liquid water c k to zero. The numerical experiments performed with the Noah model run show that in comparison to the default Noah LSM, adoption of c k 5 0 and site-specific b l values reduces the overestimation of u liq across the soil profile. Implementation of augmentations such as the parameterization of diurnally varying thermal roughness length resolves the overestimation of daytime turbulent heat fluxes and underestimation of surface temperature. Further adoption of a new heat conductivity parameterization reduces the overestimation of nighttime surface temperature. An appropriate treatment of phase change efficiency that accounts for changing freezing rate with varying liquid water contents is also needed to reduce the temperature underestimation across soil profiles.

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“…In order to characterise the distribution of ET over the TP, different methods using micrometeorological measurements (Yang et al, 2003;Lee et al, 2012;Chen et al, 2013b;Zhang et al, 2007), remote sensing products (Ma et al, , 2006Chen et al, 2013a) and the combined use of both data sources (Ma et al, 2003(Ma et al, , 2011You et al, 2014) have been investigated over the last decades. In addition, land surface models have also been applied to simulate ET over the TP (Gerken et al, 2012;Yang et al, 2009). However, accurate estimation of ET over TP is still a challenge due to the limitations of the above approaches.…”

Section: Introductionmentioning

confidence: 99%

Comparison of satellite-based evapotranspiration estimates over the Tibetan Plateau

Peng

Loew

Chen

et al. 2016

Hydrol. Earth Syst. Sci.

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Abstract. The Tibetan Plateau (TP) plays a major role in regional and global climate. The understanding of latent heat (LE) flux can help to better describe the complex mechanisms and interactions between land and atmosphere. Despite its importance, accurate estimation of evapotranspiration (ET) over the TP remains challenging. Satellite observations allow for ET estimation at high temporal and spatial scales. The purpose of this paper is to provide a detailed cross-comparison of existing ET products over the TP. Six available ET products based on different approaches are included for comparison. Results show that all products capture the seasonal variability well with minimum ET in the winter and maximum ET in the summer. Regarding the spatial pattern, the High resOlution Land Atmosphere surface Parameters from Space (HOLAPS) ET demonstrator dataset is very similar to the LandFlux-EVAL dataset (a benchmark ET product from the Global Energy and Water Cycle Experiment), with decreasing ET from the south-east to northwest over the TP. Further comparison against the LandFlux-EVAL over different sub-regions that are decided by different intervals of normalised difference vegetation index (NDVI), precipitation, and elevation reveals that HOLAPS agrees best with LandFlux-EVAL having the highest correlation coefficient (R) and the lowest root mean square difference (RMSD). These results indicate the potential for the application of the HOLAPS demonstrator dataset in understanding the land-atmosphere-biosphere interactions over the TP. In order to provide more accurate ET over the TP, model calibration, high accuracy forcing dataset, appropriate in situ measurements as well as other hydrological data such as runoff measurements are still needed.

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Some practical notes on the land surface modeling in the Tibetan Plateau

Cited by 149 publications

References 36 publications

Vegetation physiological parameter setting in the Simple Biosphere model 2 (SiB2) for alpine meadows in the upper reaches of Heihe river

Vegetation physiological parameter setting in the Simple Biosphere model 2 (SiB2) for alpine meadows in the upper reaches of Heihe river

Evaluation of Noah Frozen Soil Parameterization for Application to a Tibetan Meadow Ecosystem

Comparison of satellite-based evapotranspiration estimates over the Tibetan Plateau

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