Observation and Modeling of Evapotranspiration

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biosphere/Hydrosphere/Land–Atmosphere Interactions".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 972

Special Issue Editors

State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Interests: evapotranspiration modeling; hydrological process simulation; land-atmosphere interaction; parameter optimization
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Guest Editor
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Interests: evapotranspiration modeling; land–atmosphere interaction; hydrology cycle; energy balance; solar radiation
State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Interests: evaporation modeling; remote sensing; evapotranspiration product fusion
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Guest Editor
Chongqing Key Laboratory of GIS Application Research, School of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China
Interests: hydro-meteorological modeling; uncertainty quantification; land-atmosphere interaction; sensitivity analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Evapotranspiration (ET) is a crucial process involved in the exchange of water and energy in the hydrosphere, atmosphere, pedosphere and biosphere, and it is also an important link between ecological processes and hydrological processes. Therefore, establishing effective ET observation methods and developing more accurate ET models are of great significance for studying the temporal and spatial distribution of ET in the terrestrial surface system, demonstrating the process of ET and the mechanism of different ecosystems, and understanding the evolution characteristics of the water cycle and its climate, resources and environmental effects within the context of climate change and intensified human activities.

The main objective of this Special Issue is to contribute to our understanding of ET processes and their role in the interactions among the different spheres of earth. Papers that present science-based knowledge, novel ideas/approaches and solutions in ET observation and modelling are welcome. Original research, systematic reviews, meta-analyses, and model studies related to the observation and modelling of ET are welcome. Example topics include, but are not limited to, the following:

  • New observation instruments or algorithms to improve the ET observation accuracy;
  • Development of ET inversion based on satellite remote sensing;
  • Evaluation of ET simulations among the different hydrological/ecological models;
  • Data assimilation/parameter optimization to improve ET simulation accuracy;
  • Machine learning fusion to improve ET estimation.

We very much look forward to your submissions.

Dr. Zhenhua Di
Dr. Qian Ma
Dr. Yunjun Yao
Dr. Heng Wang
Guest Editors

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Keywords

  • observation algorithm
  • satellite inversion
  • evapotranspiration simulation
  • data assimilation
  • parameter optimization
  • machine learning fusion

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Published Papers (2 papers)

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Research

23 pages, 10449 KiB  
Article
The Historical and Future Variations of Water Conservation in the Three-River Source Region (TRSR) Based on the Soil and Water Assessment Tool Model
by Zhenwei Liu, Zhenhua Di, Wenjuan Zhang, Huiying Sun, Xinling Tian, Hao Meng and Jianguo Liu
Atmosphere 2024, 15(8), 889; https://doi.org/10.3390/atmos15080889 - 25 Jul 2024
Viewed by 321
Abstract
Water conservation is an essential parameter for maintaining the ecological balance. The Three-River Source Region (TRSR) cannot be an exception, since it is one of the most influential water conservation reserves in the Qinghai–Tibet Plateau in China. Therefore, the realization of its scientific [...] Read more.
Water conservation is an essential parameter for maintaining the ecological balance. The Three-River Source Region (TRSR) cannot be an exception, since it is one of the most influential water conservation reserves in the Qinghai–Tibet Plateau in China. Therefore, the realization of its scientific significance can determine its future regional sustainable development and the optimal allocation of water resources. The study of the past is critical to predict the future temporal and spatial changes in the water conservation of the TRSR. The first task of this study was to obtain the optimal runoff simulations in the TRSR from 1981 to 2014 by calibrating the adjustable the parameters of the Soil and Water Assessment Tool (SWAT) model. Then, the water conservation of the TRSR from 1981 to 2014 was quantified. Finally, the future water conservation of the TRSR was also predicted using the optimal SWAT model. The predication took into consideration the three terms including the near-term (2015–2044), mid-term (2045–2074), and long-term (2075–2099) in three different climate scenarios of SSP1-1.9 (SSP119), SSP2-4.5 (SSP245), and SSP5-8.5 (SSP585). The main findings are as follows: (1) both the coefficient of determination (R2) and Nash–Sutcliffe efficiency coefficient (NSE) for runoff simulation on the three sub-basins reached above 0.78 during the calibration and validation periods, which indicates the reasonableness of the SWAT model in the TRSR. (2) From 1981 to 2014, the water conservation capacity of the TRSR showed an increasing trend (0.5135 mm/year), and its changes had significant positive correlations with precipitation and temperature. The Yellow River Source (YR) and the Yangtze River Source (YZ) had the strongest and weakest water conservation capacities, respectively. (3) From 2015 to 2099, the water conservation in the TRSR in the SSP119, SSP245, and SSP585 scenarios decreased first and then increased, increased first and then decreased, and increased steadily, respectively. Full article
(This article belongs to the Special Issue Observation and Modeling of Evapotranspiration)
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20 pages, 3327 KiB  
Article
The Abrupt Change in Potential Evapotranspiration and Its Climatic Attribution over the Past 50 Years in the Sichuan–Chongqing Region, China
by Qingzhou Zheng, Xiaolin Huang, Tianxiong Zheng, Jun He, Ming Xiang, Mengsheng Qin and Kailun Jin
Atmosphere 2024, 15(7), 829; https://doi.org/10.3390/atmos15070829 - 10 Jul 2024
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Abstract
Potential evapotranspiration (PET), as an indicator of atmospheric evaporative demand, is a critical hydrological and meteorological factor to reflect regional and global hydrological cycles and environmental change. Understanding these nuanced responses of PET to environmental changes is important for agricultural production and water [...] Read more.
Potential evapotranspiration (PET), as an indicator of atmospheric evaporative demand, is a critical hydrological and meteorological factor to reflect regional and global hydrological cycles and environmental change. Understanding these nuanced responses of PET to environmental changes is important for agricultural production and water demand estimation. This study rigorously evaluated fluctuations in PET using the Penman–Monteith model over a 50-year span from 1970 to 2020 in the Sichuan–Chongqing region, an area notably susceptible to climate change. The changing characteristics of PET and local meteorological factors were detected by integrating the Mann–Kendall method and Pettitt test. Furthermore, the contribution and sensitivity of key meteorological variables to the observed variation in PET were also thoroughly investigated. Breakpoint analysis revealed that abrupt changes appeared in 1996 for annual PET. The detrending method indicated that substantial decreases in net radiation and wind speed (p < 0.01) were responsible for the decrease in annual PET from 1970 to 1996. Marked increases in minimum temperature and wind speed were the driving forces behind the uptick in annual PET in 1997–2020. At seasonal scales, wind speed and net radiation predominantly influenced PET in 1970–1996 in general. However, from 1997 to 2020, the factors controlling PET fluctuations displayed considerable seasonal variation. Sensitivity analysis showed that Ws and Tmin were the second-most sensitive factors. By exploring the impacts of PET changes and shifts, attention must be paid when allocating water resources reasonably under the background of ongoing climate change and likelihood of future drought. Full article
(This article belongs to the Special Issue Observation and Modeling of Evapotranspiration)
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