An Enhanced MOD16 Evapotranspiration Model for the Tibetan Plateau During the Unfrozen Season

Ling, Yuan Yuan; Ma, Yaoming; Chen, Xuelong; Wang, Yuyang; Li, Zhaoguo

doi:10.1029/2020jd032787

Cited by 24 publications

(19 citation statements)

References 158 publications

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“…Here, we compared estimation results of monthly E by five CR-based models in the present study with the latest two improved remote-sensing ET models that have been validated for the QTP. One is an improved MOD16 model by Yuan [71], referred to as "MOD16_Yuan" in this study; the another one is an improved SEBS model by Han [72], referred to as "SEBS_Han" in this study. Both obtained better accuracy with in situ measurements than that in previous results.…”

Section: Comparison With Previous Studies On the Qtp At A Single Poin...mentioning

confidence: 99%

Assessment of Different Complementary-Relationship-Based Models for Estimating Actual Terrestrial Evapotranspiration in the Frozen Ground Regions of the Qinghai-Tibet Plateau

Shang

et al. 2022

Remote Sensing

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Actual evapotranspiration (ETa) is important since it is an important link to water, energy, and carbon cycles. Approximately 96% of the Qinghai-Tibet Plateau (QTP) is underlain by frozen ground, however, the ground observations of ETa are particularly sparse–which is especially true in the permafrost regions–leading to great challenge for the accurate estimation of ETa. Due to the impacts of freeze-thaw cycles and permafrost degradation on the regional ET process, it is therefore urgent and important to find a reasonable approach for ETa estimation in the regions. The complementary relationship (CR) approach is a potential method since it needs only routine meteorological variables to estimate ETa. The CR approach, including the modified advection-aridity model by Kahler (K2006), polynomial generalized complementary function by Brutsaert (B2015) and its improved versions by Szilagyi (S2017) and Crago (C2018), and sigmoid generalized complementary function by Han (H2018) in the present study, were assessed against in situ measured ETa at four observation sites in the frozen ground regions. The results indicate that five CR-based models are generally capable of simulating variations in ETa, whether default and calibrated parameter values are employed during the warm season compared with those of the cold season. On a daily basis, the C2018 model performed better than other CR-based models, as indicated by the highest Nash-Sutcliffe efficiency (NSE) and lowest root mean square error (RMSE) values at each site. On a monthly basis, no model uniformly performed best in a specific month. On an annual basis, CR-based models estimating ETa with biases ranging from −94.2 to 28.3 mm year−1, and the H2018 model overall performed best with the smallest bias within 15 mm year−1. Parameter sensitivity analysis demonstrated the relatively small influence of each parameter varying within regular fluctuation magnitude on the accuracy of the corresponding model.

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Section: Comparison With Previous Studies On the Qtp At A Single Poin...mentioning

confidence: 99%

Assessment of Different Complementary-Relationship-Based Models for Estimating Actual Terrestrial Evapotranspiration in the Frozen Ground Regions of the Qinghai-Tibet Plateau

Shang

et al. 2022

Remote Sensing

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“…Through optimizing multiple physical parameters (surface resistance of bare soil, and aerodynamic resistance of soil surface, and the mean potential stomatal conductance per unit leaf area index, and so on), the RMSEs of the ET values derived at the five sites were enhanced compared to those obtained using the original MOD16 model and the SWI‐PT. Although the optimized MOD16 model showed a more stable performance than the other models with regards to the ET estimation bias, ET uncertainties still exist over the TP due to uncertainties in other physical parameters (Yuan et al., 2021). Other studies have reported similar findings.…”

Section: Introductionmentioning

confidence: 99%

“…Due to these uncertainties in estimated ET values over the TP, several studies have focused on improving the ET simulation and prediction abilities over the TP by tuning the models used to describe physical processes and their physical parameters. For example, Yuan et al (2021) employed an improved MOD16 model, original called the MOD16 model, and a soil water index-based PT algorithm (SWI-PT) to evaluate ET at five sites over the TP. Through optimizing multiple physical parameters (surface resistance of bare soil, and aerodynamic resistance of soil surface, and the mean potential stomatal conductance per unit leaf area index, and so on), the RMSEs of the ET values derived at the five sites were enhanced compared to those obtained using the original MOD16 model and the SWI-PT.…”

mentioning

confidence: 99%

Application of the CNOP‐P Ensemble Prediction (CNOP‐PEP) Method in Evapotranspiration Forecasting Over the Tibetan Plateau to Model Parameter Uncertainties

Sun

Zhang

et al. 2023

J Adv Model Earth Syst

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Evapotranspiration (ET) is recognized as an integral component of the regional and global energy and water cycles and is associated with the exchange of mass and energy between atmospheric and land systems (Jung et al., 2010;Trenberth et al., 2009). ET significantly impacts regional and global climate changes (Milly & Dunne, 2016;Scheff & Frierson, 2014). Hence, it is critical for evaluating ET variations to understand land-atmosphere interactions and global climate change. As the highest plateau in the world, the Tibetan Plateau (TP) observably regulates the hydrological cycle at the local and global scales, including the ET cycle, and further affects global and regional climate changes (Kang et al., 2010;Ma et al., 2017;Yao, 2019). Therefore, obtaining accurate simulations and predictions of ET over the TP can facilitate the addressing of the energy and water cycles on the plateau and analyses of regional and global changes (Li et al., 2012).

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“…Thus, accurately estimating ET is necessary for better quantification and allocation of water resources, which is of great significance to the sustainable utilization and management of global water resources in an era of growing climate change. Generally, the Penman-Monteith (PM) algorithm and the Priestley-Taylor (PT) algorithm are the two most commonly used methods for estimating ET, though the two algorithms have been proposed for more than four decades [5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…Extensive studies have been conducted to improve the PM algorithm from different aspects, such as stomatal conductance [7], soil moisture [10], temperature difference between day and night [7,10,11], etc. However, to date, accurate estimation of actual ET at regional scales is still challenging [12].…”

Section: Introductionmentioning

confidence: 99%

Assessment and Inter-Comparison of Multi-Source High Spatial Resolution Evapotranspiration Products over Lancang–Mekong River Basin, Southeast Asia

et al. 2022

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Evapotranspiration (ET) plays a crucial role in water balance within the global hydrological cycle. Timely assessment of ET products can provide the scientific basis for quantitative analysis of hydrological cycle processes and water resources assessment. In this paper, four high spatial resolution remote sensing ET products—the Moderate-resolution Imaging Spectroradiometer global terrestrial evapotranspiration product (MOD16), the ET product based on Penman–Monteith–Leuning equation version 2 (PML-V2), the ET product based on the Breathing Earth System Simulator (BESS) and the ET product of the Global LAnd Surface Satellite (GLASS)—were firstly assessed using the eddy covariance (EC) of different vegetation types in the Lancang–Mekong River Basin (LMRB). To fully assess the performances of these four products, spatiotemporal inter-comparisons and literature comparisons were also conducted across different climatic zones. The results are summarized as follows: (1) MOD16 does not perform well as compared to the other three products, with its Root Mean Square Error (RMSE) being higher than GLASS, PML-V2 and BESS, which are approximately 0.47 mm/8-day, 0.66 mm/8-day, and 0.90 mm/8-day, respectively; (2) the performance of each product varies across different vegetation types, and even within the same climate zone. PML-V2 performs best in evergreen broadleaf forests, BESS performs best in deciduous broadleaf forests and croplands, and GLASS performs best in shrubs, grasslands and mixed vegetation; (3) each product can well reflect the spatial difference brought by topography, climate and vegetation over the entire basin but all four ET products do not show either a consistent temporal trend or a uniform spatial distribution; (4) ET ranges of these four products over LMRB are consistent with previous literature in evergreen broadleaf forests, deciduous broadleaf forests, needleleaf forests and mixed forests in other regions with the same climate zones, but they show great differences in croplands, grasslands and shrubs. This study will contribute to improving our understanding of these four ET products in the different climatic zones and vegetation types over LMRB.

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An Enhanced MOD16 Evapotranspiration Model for the Tibetan Plateau During the Unfrozen Season

Cited by 24 publications

References 158 publications

Assessment of Different Complementary-Relationship-Based Models for Estimating Actual Terrestrial Evapotranspiration in the Frozen Ground Regions of the Qinghai-Tibet Plateau

Assessment of Different Complementary-Relationship-Based Models for Estimating Actual Terrestrial Evapotranspiration in the Frozen Ground Regions of the Qinghai-Tibet Plateau

Application of the CNOP‐P Ensemble Prediction (CNOP‐PEP) Method in Evapotranspiration Forecasting Over the Tibetan Plateau to Model Parameter Uncertainties

Assessment and Inter-Comparison of Multi-Source High Spatial Resolution Evapotranspiration Products over Lancang–Mekong River Basin, Southeast Asia

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