2020
DOI: 10.5194/hess-24-5745-2020
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Last-decade progress in understanding and modeling the land surface processes on the Tibetan Plateau

Abstract: Abstract. Land surface models (LSMs) that simulate water and energy exchanges at the land–atmosphere interface are a key component of Earth system models. The Tibetan Plateau (TP) drives the Asian monsoon through surface heating and thus plays a key role in regulating the climate system in the Northern Hemisphere. Therefore, it is vital to understand and represent well the land surface processes on the TP. After an early review that identified key issues in the understanding and modeling of land surface proces… Show more

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Cited by 35 publications
(29 citation statements)
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References 113 publications
(119 reference statements)
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“…Uncertainties in remote sensing data may affect their reliability as ground truth for evaluating the ELM simulations. The MODIS land surface albedo products have shown good consistencies with ground measurements (Moustafa et al, 2017;Wang et al, 2004), but the semi-empirical kerneldriven-model-based algorithms used to derive the MODIS land surface albedo do not account for topography explicitly (Schaaf et al, 2002;Hao et al, 2020), which may lead to large errors over rugged terrain (Hao et al, 2018a, b). MODIS snow cover data have shown relatively poor performance when compared to ground measurements, especially over the regions of TP with higher elevation and shallower snow depth (Pu et al, 2007;Yang et al, 2015;Zhang et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…Uncertainties in remote sensing data may affect their reliability as ground truth for evaluating the ELM simulations. The MODIS land surface albedo products have shown good consistencies with ground measurements (Moustafa et al, 2017;Wang et al, 2004), but the semi-empirical kerneldriven-model-based algorithms used to derive the MODIS land surface albedo do not account for topography explicitly (Schaaf et al, 2002;Hao et al, 2020), which may lead to large errors over rugged terrain (Hao et al, 2018a, b). MODIS snow cover data have shown relatively poor performance when compared to ground measurements, especially over the regions of TP with higher elevation and shallower snow depth (Pu et al, 2007;Yang et al, 2015;Zhang et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…This study is also based on empirical fitting relationships. Furthermore, empirical formulations of r s s have developed to estimate evaporation from bare soil in LSMs for long‐term ET simulation with large spatial scale (Chang et al., 2019; Dong et al., 2020; Lu et al., 2020; J. Tang & Riley, 2013; Yang et al., 2011). Although the MOD16‐STM algorithm based on empirical parameters performs better at five independent grassland sites, it is still necessary to improve the proposed algorithm by considering the physical processes of soil evaporation and with the help of more observations to enhance the performance of the model in the future studies.…”
Section: Discussionmentioning
confidence: 99%
“…This study is also based on empirical fitting relationships. Furthermore, empirical formulations of r s s have developed to estimate evaporation from bare soil in LSMs for long-term ET simulation with large spatial scale (Chang et al, 2019;Dong et al, 2020;Lu et al, 2020;J. Tang & Riley, 2013;.…”
Section: Benefits and Challenges Of Parameterizing R S Smentioning
confidence: 99%
“…TP, known as the Third Pole, plays an important role in regulating the earth climate system (Lu et al, 2020;Yang et al, 2009). TP has complex topographic features, where the central part is relatively flat, and the western and southern regions have remarkable terrain undulations (Figure 1).…”
Section: Model Setup and Experiments Designmentioning
confidence: 99%