MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley–Taylor algorithm

Yao, Yunjun; Liang, Shunlin; Cheng, Jie; Liu, Shaomin; Fisher, Joshua B.; Xu, Tongren; Jia, Kun; Zhao, Xiang; Qin, Qiming; Zhao, Bin; Han, Shijie; Zhou, Guangsheng; Zhou, Guoyi; Li, Yuelin; Zhao, Shaohua

doi:10.1016/j.agrformet.2012.11.016

Cited by 217 publications

(211 citation statements)

References 70 publications

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“…This value is slightly higher than the estimate of Yao et al [50], who reported a mean annual ET in China of 364.9 mm. Recently, Chen et al [6] estimated ET in China using eight ET models; the annual ET ranged from 535 to 852 mm among the models.…”

Section: Reliability and Merits Of The Swh Modelcontrasting

confidence: 54%

“…Similarly, Yao et al [50] and Chen et al [6] also reported that ET was highest in the humid tropics and sub-tropics, intermediate in temperate regions and lowest in both cold and arid regions. Water-use efficiency (WUE) exhibited a spatial pattern similar to the patterns observed for GPP and ET, with high values in the forest ecosystems in southern and eastern China and low values in the grasslands in northern China.…”

Section: Reliability and Merits Of The Swh Modelmentioning

confidence: 99%

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Modeling and Partitioning of Regional Evapotranspiration Using a Satellite-Driven Water-Carbon Coupling Model

Zhang

et al. 2017

Remote Sensing

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Abstract:The modeling and partitioning of regional evapotranspiration (ET) are key issues in global hydrological and ecological research. We incorporated a stomatal conductance model and a light-use efficiency-based gross primary productivity (GPP) model into the Shuttleworth-Wallace model to develop a simplified carbon-water coupling model, SWH, for estimating ET using meteorological and remote sensing data. To enable regional application of the SWH model, we optimized key parameters with measurements from global eddy covariance (EC) tower sites. In addition, we estimated soil water content with the principle of the bucket system. The model prediction of ET agreed well with the estimates obtained with the EC measurements, with an average R 2 of 0.77 and a root mean square error of 0.72 mm·day −1 . The model performance was generally better for woody ecosystems than herbaceous ecosystems. Finally, the spatial patterns of ET and relevant model outputs (i.e., GPP, water-use efficiency and the ratio of soil water evaporation to ET) in China with the model simulations were assessed.

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Section: Reliability and Merits Of The Swh Modelcontrasting

confidence: 54%

Section: Reliability and Merits Of The Swh Modelmentioning

confidence: 99%

Modeling and Partitioning of Regional Evapotranspiration Using a Satellite-Driven Water-Carbon Coupling Model

Zhang

et al. 2017

Remote Sensing

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“…However, these methods require a continuum of soil moisture and vegetation status to acquire the surface conditions [46]. To minimize the need for ancillary meteorological data while maintaining a physically-realistic representation of evapotranspiration process, Yao et al [23] modified the Priestley-Taylor [45] algorithm by using vegetation indices (VIs) and apparent thermal inertia (ATI) as the primary parameters and propose the MS-PT algorithm:…”

Section: Ms-pt Algorithmmentioning

confidence: 99%

Satellite-Derived Spatiotemporal Variations in Evapotranspiration over Northeast China during 1982–2010

et al. 2017

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Evapotranspiration (ET) is a critical process for the climate system and water cycles. However, the spatiotemporal variations in terrestrial ET over Northeast China over the past three decades calculated from sparse meteorological point-based data remain large uncertain. In this paper, a recently proposed modified satellite-based Priestley-Taylor (MS-PT) algorithm was applied to estimate ET of Northeast China during 1982-2010. Validation results show that the square of the correlation coefficients (R 2 ) for the six flux tower sites varies from 0.55 to 0.88 (p < 0.01), and the mean root mean square error (RMSE) is 0.92 mm/d. The ET estimated by MS-PT has an annual mean of 441.14 ± 18 mm/year in Northeast China, with a decreasing trend from southeast coast to northwest inland. The ET also shows in both annual and seasonal linear trends over Northeast China during 1982-2010, although this trend seems to have ceased after 1998, which increased on average by 12.3 mm per decade pre-1998 (p < 0.1) and decreased with large interannual fluctuations post-1998. Importantly, our analysis on ET trends highlights a large difference from previous studies that the change of potential evapotranspiration (PET) plays a key role for the change of ET over Northeast China. Only in the western part of Northeast China does precipitation appear to be a major controlling influence on ET.

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“…However, direct eddy covariance (EC) observations are lacking in the TRHR and hamper to verify the expected changes in LE and evaporation. Although many satellite evapotranspiration (ET) products, such as the Moderate Resolution Imaging Spectroradiometer (MODIS) product (MOD16), are widely used to monitor the change in regional LE (Fisher et al 2008;Jung et al 2010;Mu et al 2011;Yao et al 2013), data are missing in the TRHR due to the existing gaps of MOD16 product. Many satellite-based LE algorithms (e.g., Budyko equation, energy residual method) are also used to assess the variation in LE in the high altitude TRHR (Liu et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Satellite evidence for no change in terrestrial latent heat flux in the Three-River Headwaters region of China over the past three decades

et al. 2016

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Terrestrial latent heat flux (LE) in the Three-River Headwaters region (TRHR) of China plays an essential role in quantifying the amount of water evaporation and carbon sink over the high altitude Tibetan Plateau (TP). Global warming is expected to accelerate terrestrial hydrological cycle and to increase evaporation. However, direct field observations are lacking in this region and the long-term variability in LE remains uncertain. In this study, we have revised a semi-empirical Penman LE algorithm based on ground eddy covariance (EC) observations from an alpine grass site and provided new satellitebased evidence to assess LE change in the TRHR during 1982-2010. Our results show that the average annual terrestrial LE in the TRHR is about 38.8 W/m 2 and there is no statistically significant change in annual LE from 1982 to 2010. We also found that during the same time period, terrestrial LE over the east region of the TRHR significantly decreased, on average, by 0.7 W/m 2 per decade, which was driven primarily by the surface incident solar radiation (R s ) limitation, offsetting the increased LE over the west region of the TRHR caused by the increased precipitation (P ) and soil moisture (SM ).

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MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley–Taylor algorithm

Cited by 217 publications

References 70 publications

Modeling and Partitioning of Regional Evapotranspiration Using a Satellite-Driven Water-Carbon Coupling Model

Modeling and Partitioning of Regional Evapotranspiration Using a Satellite-Driven Water-Carbon Coupling Model

Satellite-Derived Spatiotemporal Variations in Evapotranspiration over Northeast China during 1982–2010

Satellite evidence for no change in terrestrial latent heat flux in the Three-River Headwaters region of China over the past three decades

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