Comparison of satellite-based evapotranspiration estimates over the Tibetan
Plateau

Peng, Jian; Loew, Alexander; Chen, Xuelong; Ma, Yaoming; Su, Zhongbo

doi:10.5194/hess-20-3167-2016

Cited by 36 publications

(14 citation statements)

References 60 publications

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“…The mean annual ET was 543 mm during 1961-2010 in Zhang et al (2018) estimated by the advection-aridity model and was 378.1 mm during 1982-2012 in Wang et al (2018), which was retrieved by a modified Penman-Monteith-Leuning model. In contrast, the annual mean ET of our result was higher than the results from Peng et al (2016) who made a comparison of satellite-based ET and Zhang et al (2007) who estimated the ET based on the complementary hypothesis from Bouchet (1963). There are some reasons to explain this discrepancy.…”

Section: The Spatial-temporal Variations Of the Et Over The Tpcontrasting

confidence: 97%

Improving Actual Evapotranspiration Estimation Integrating Energy Consumption for Ice Phase Change Across the Tibetan Plateau

Wang

Lin

et al. 2020

JGR Atmospheres

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Permafrost thawing over the Tibetan Plateau (TP) is a consequence of climatic warming, which will change local hydrological processes remarkably. Evapotranspiration (ET) is an important local hydrological process indicator that needs to be well quantified. Several methods have been applied to estimate the ET. However, energy consumed by thawing was neglected in ET estimation on TP. Here a simple but effective method was introduced to represent the energy consumption due to ice phase changes in the generalized nonlinear complementary principle. Our method improved ET estimation by 4.60–106.67% in the nonlinear complementary model, validated at five eddy flux observation sites. With the new formulation, we analyzed the spatiotemporal patterns of ET and their driving factors during 1961–2014. The spatial averaged ET was 294.21 mm/year and decreased from southeast to northwest areas, cocontrolled by precipitation (Pre) and net radiation (Rn); dominated by the Rn in the warm‐humid areas while by the Pre in the cold‐dry areas. The temporal pattern of ET over the TP showed an increasing trend during 1961–2014, with a rate of 0.38 mm/year. The variations in air temperature (Tair) and Rn could explain 79.1% of the temporal variations in ET over the TP during the past 54 years, indicating atmosphere demand is the dominant factor on ET temporal variation. We also found that permafrost thawing accelerated the ET increases in the last 15 years over the transitional permafrost and seasonal permafrost areas, suggesting that degradation and ablation of permafrost under climatic changes will lead to accelerated ET.

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Section: The Spatial-temporal Variations Of the Et Over The Tpcontrasting

confidence: 97%

Improving Actual Evapotranspiration Estimation Integrating Energy Consumption for Ice Phase Change Across the Tibetan Plateau

Wang

Lin

et al. 2020

JGR Atmospheres

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“…In addition, the annual cycle from LandFlux-EVAL in the Congo, presented in the current study, compares favorably to the annual cycles presented by Trambauer et al (2014). Furthermore, LandFlux-EVAL is believed to be a "best guess" estimate of evaporation (Peng et al, 2016), and has been used to evaluate CMIP5 models in previous studies (Mueller & Seneviratne, 2014). The above points strongly support using LandFlux-EVAL as an evaporation reference.…”

Section: Reference Data Setssupporting

confidence: 74%

Evaluation of Evaporation Climatology for the Congo Basin Wet Seasons in 11 Global Climate Models

2020

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Across the Congo, there is a wide spread in rainfall in the two wet seasons in Coupled Model Intercomparison Project 5 global climate models (GCMs). As the Congo is believed to be a moisture recycling hot spot, the evaporation of excess water from the land surface in some models could be amplifying the model spread in rainfall. This study performs an exploratory process‐based evaluation of Congo Basin evaporation in 11 Coupled Model Intercomparison Project 5 GCMs that took part in the Atmospheric Model Intercomparison Project. Our aims are to improve scientific understanding about Congo evaporation, and to determine whether there are opportunities to improve how models produce Congo evaporation. Climatologically, we find that models with “realistic” rainfall simulate higher rainfall in November, the peak of the second wet season, than March, the peak of the first. However, models with “realistic” evaporation simulate lower evaporation in November than March, because these models suppress the transpiration component of the evaporation in November relative to March. In both wet seasons, subgrid rainfall schemes make these models simulate a credible ratio of transpiration to canopy evaporation, and cause them to generate evaporation in a more realistic manner. We therefore trust how these models produce evaporation in the wet seasons, and argue that lower transpiration is likely to explain why evaporation is lower in November than March in reality. We also suggest that using subgrid rainfall schemes in all GCMs could improve how models produce Congo evaporation during the wet seasons. This might reduce the model spread in Congo rainfall.

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“…Xu et al [30] found that ET showed a slight decreasing trend at the rate of 3.3 mm/decade from 2000 through 2014 in the TRHR by using an enhanced surface energy balance system (SEBS) algorithm. The simulated results were limited by the relatively short time span of the dataset and the uncertainties of model parameterization [31,32]. There are still large uncertainties about the spatiotemporal dynamics of ET over the complicated topography and heterogeneous surface of the TRHR.…”

Section: Introductionmentioning

confidence: 99%

Long-Term Spatiotemporal Dynamics of Terrestrial Biophysical Variables in the Three-River Headwaters Region of China from Satellite and Meteorological Datasets

et al. 2019

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Terrestrial biophysical variables play an essential role in quantifying the amount of energy budget, water cycle, and carbon sink over the Three-River Headwaters Region of China (TRHR). However, direct field observations are missing in this region, and few studies have focused on the long-term spatiotemporal variations of terrestrial biophysical variables. In this study, we evaluated the spatiotemporal dynamics of biophysical variables including meteorological variables, vegetation, and evapotranspiration (ET) over the TRHR, and analyzed the response of vegetation and ET to climate change in the period from 1982 to 2015. The main input gridded datasets included meteorological reanalysis data, a satellite-based vegetation index dataset, and the ET product developed by a process-based Priestley–Taylor algorithm. Our results illustrate that: (1) The air temperature and precipitation over the TRHR increased by 0.597 °C and 41.1 mm per decade, respectively, while the relative humidity and surface downward shortwave radiation declined at a rate of 0.9% and 1.8 W/m2 per decade during the period 1982–2015, respectively. We also found that a ‘dryer warming’ tendency and a ‘wetter warming’ tendency existed in different areas of the TRHR. (2) Due to the predominant ‘wetter warming’ tendency characterized by the increasing temperature and precipitation, more than 56.8% of areas in the TRHR presented a significant increment in vegetation (0.0051/decade, p < 0.05), particularly in the northern and western meadow areas. When energy was the limiting factor for vegetation growth, temperature was a considerably more important driving factor than precipitation. (3) The annual ET of the TRHR increased by 3.34 mm/decade (p < 0.05) with an annual mean of 230.23 mm/year. More importantly, our analysis noted that ET was governed by terrestrial water supply, e.g., soil moisture and precipitation in the arid region of the western TRHR. By contrast, atmospheric evaporative demand derived by temperature and relative humidity was the primary controlling factor over the humid region of the southeastern TRHR. It was noted that land management activities, e.g., irrigation, also had a nonnegligible impact on the temporal and spatial variation of ET.

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Comparison of satellite-based evapotranspiration estimates over the Tibetan Plateau

Cited by 36 publications

References 60 publications

Improving Actual Evapotranspiration Estimation Integrating Energy Consumption for Ice Phase Change Across the Tibetan Plateau

Improving Actual Evapotranspiration Estimation Integrating Energy Consumption for Ice Phase Change Across the Tibetan Plateau

Evaluation of Evaporation Climatology for the Congo Basin Wet Seasons in 11 Global Climate Models

Long-Term Spatiotemporal Dynamics of Terrestrial Biophysical Variables in the Three-River Headwaters Region of China from Satellite and Meteorological Datasets

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