The surface energy budget in the permafrost region of the Tibetan Plateau

Yao, Jimin; Zhao, Lin; Gu, Lianglei; Qiao, Yongping; Jiao, Keqin

doi:10.1016/j.atmosres.2011.09.001

Cited by 58 publications

(44 citation statements)

References 20 publications

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“…Foken et al (2006) suggested that a loss at low frequency was also an important reason for the energy balance closure problem. In addition, previous studies using instantaneous observation data collected on the Tibetan Plateau during the summer and autumn have indicated that turbulent flux accounts for approximately 80% (or less) of the surface available energy (Tanaka et al, 2001(Tanaka et al, , 2003Yao et al, 2008Yao et al, , 2011.…”

Section: Energy Closure Ratio (Cr)mentioning

confidence: 97%

“…Several atmosphereland interaction experiments have been conducted on the Tibetan Plateau in recent years (Ma et al, , 2009Tanaka et al, 2001Tanaka et al, , 2003. Those scientific experiments have resulted in much progress regarding the understanding of the surface energy and water budget, regional evaporative fraction, the seasonal variability of soil moisture distributions, atmospheric chemistry, and climatic change (Ma and Tsukamoto, 2002;Hirose et al, 2002;Tanaka et al, 2001Tanaka et al, , 2003Li et al, 2007;Yao et al, 2008Yao et al, , 2011Yu et al, 2008;Cong et al, 2009;Ma et al, 2009Ma et al, , 2012Zheng et al, 2010;Xue et al, 2013;Ma et al, 2014). However, those studies have been limited to the investigation of differences in the surface energy budget between the seasonally frozen ground region and the permafrost region of the Tibetan Plateau.…”

Section: Introductionmentioning

confidence: 98%

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Comparison of the surface energy budget between regions of seasonally frozen ground and permafrost on the Tibetan Plateau

Yao

et al. 2015

Atmospheric Research

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Section: Energy Closure Ratio (Cr)mentioning

confidence: 97%

Section: Introductionmentioning

confidence: 98%

Comparison of the surface energy budget between regions of seasonally frozen ground and permafrost on the Tibetan Plateau

Yao

et al. 2015

Atmospheric Research

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“…Currently there are several methodologies that allow estimating soil heat flux from tenths of centimeters to meters in depth in the Arctic tundra by using modeling or instrumentation at several depths (Lynch et al, 1999;Ekici et al, 2015;Jiang et al, 2015;Romanovsky et al, 1997;Yao et al, 2011;Zhuang et al, 2001;Hinzman et al, 1998). However, in this study, a simple approach based on the relationship between G and R N s (Eq.…”

Section: Refinements In Soil Heat Flux Parameterization: C G Coefficimentioning

confidence: 99%

Estimation of surface energy fluxes in the Arctic tundra using the remote sensing thermal-based Two-Source Energy Balance model

Cristóbal

Prakash

Anderson

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. The Arctic has become generally a warmer place over the past decades leading to earlier snow melt, permafrost degradation and changing plant communities. Increases in precipitation and local evaporation in the Arctic, known as the acceleration components of the hydrologic cycle, coupled with land cover changes, have resulted in significant changes in the regional surface energy budget. Quantifying spatiotemporal trends in surface energy flux partitioning is key to forecasting ecological responses to changing climate conditions in the Arctic. An extensive local evaluation of the Two-Source Energy Balance model (TSEB) -a remotesensing-based model using thermal infrared retrievals of land surface temperature -was performed using tower measurements collected over different tundra types in Alaska in all sky conditions over the full growing season from 2008 to 2012. Based on comparisons with flux tower observations, refinements in the original TSEB net radiation, soil heat flux and canopy transpiration parameterizations were identified for Arctic tundra. In particular, a revised method for estimating soil heat flux based on relationships with soil temperature was developed, resulting in significantly improved performance. These refinements result in mean turbulent flux errors generally less than 50 W m −2 at half-hourly time steps, similar to errors typically reported in surface energy balance modeling studies conducted in more temperate climatic regimes. The MODIS leaf area index (LAI) remote sensing product proved to be useful for estimating energy fluxes in Arctic tundra in the absence of field data on the local biomass amount. Model refinements found in this work at the local scale build toward a regional implementation of the TSEB model over Arctic tundra ecosystems, using thermal satellite remote sensing to assess response of surface fluxes to changing vegetation and climate conditions.

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“…Previous research has investigated the diurnal, seasonal and annual variation of the SEB at stations over various land cover types in the TP, including grassland (Y. Ma et al, 2003;Tanaka et al, 2003;Liu et al, 2009;Bian et al, 2012), meadow (Gu et al, 2005;Yao et al, 2008Yao et al, , 2011, and glacial and alpine areas (Zou et al, 2009;Yang et al, 2011c;Chen et al, 2012;Zhang et al, 2013). Advanced methods have been developed to retrieve SEB from improved parameterization of routine meteorological observations (Yang et al, 2002(Yang et al, , 2003Chen et al, 2010Chen et al, , 2013bGuo et al, 2011b;Lee et al, 2012) satellite observations (Y.…”

Section: Q Shi and S Liang: Surface Sensible And Latent Heat Fluxesmentioning

confidence: 99%

Surface-sensible and latent heat fluxes over the Tibetan Plateau from ground measurements, reanalysis, and satellite data

Shi

Liang

2014

Atmos. Chem. Phys.

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Abstract. Estimations from meteorological stations over the Tibetan Plateau (TP) indicate that since the 1980s the surface-sensible heat flux has been decreasing continuously, and modeling studies suggest that such changes are likely linked to the weakening of the East Asian Monsoon through exciting Rossby wave trains. However, the spatial and temporal variations in the surface-sensible and latent heat fluxes over the entire TP remain unknown. This study aims to characterize the spatial and seasonal variability of the surfacesensible and latent heat fluxes at 0.5 • over the TP from 1984 to 2007 by synthesizing multiple data sources including ground measurements, reanalysis products, and remotesensing products. The root mean square errors (RMSEs) from cross validation are 14.3 Wm −2 and 10.3 Wm −2 for the monthly fused sensible and latent heat fluxes, respectively. The fused sensible and latent heat-flux anomalies are consistent with those estimated from meteorological stations, and the uncertainties of the fused data are also discussed. The associations among the fused sensible and latent heat fluxes and the related surface anomalies such as mean temperature, temperature range, snow cover, and normalized difference vegetation index (NDVI) in addition to atmospheric anomalies such as cloud cover and water vapor show seasonal dependence, suggest that the land-biosphere-atmosphere interactions over the TP could display nonuniform feedbacks to the climate changes. It would be interesting to disentangle the drivers and responses of the surface-sensible and latent heat-flux anomalies over the TP in future research from evidences of modeling results.

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The surface energy budget in the permafrost region of the Tibetan Plateau

Cited by 58 publications

References 20 publications

Comparison of the surface energy budget between regions of seasonally frozen ground and permafrost on the Tibetan Plateau

Comparison of the surface energy budget between regions of seasonally frozen ground and permafrost on the Tibetan Plateau

Estimation of surface energy fluxes in the Arctic tundra using the remote sensing thermal-based Two-Source Energy Balance model

Surface-sensible and latent heat fluxes over the Tibetan Plateau from ground measurements, reanalysis, and satellite data

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