Spatiotemporal change and attribution of potential evapotranspiration over China from 1901 to 2100

Ding, Yulin; Peng, Shouzhang

doi:10.1007/s00704-021-03625-w

Cited by 47 publications

(14 citation statements)

References 36 publications

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“…In the multi‐year contribution analysis, the manifestations of contribution include the absolute form (Du et al., 2022; M. Li et al., 2018; Zheng et al., 2009) and the relative form (Ding & Peng, 2021; X. Liu et al., 2011; Tang & Tang, 2021). Compared with the absolute form, the relative form makes it easier to compare the impact magnitudes of different meteorological factors on the AED.…”

Section: Methodsmentioning

confidence: 99%

“…In the multi-year contribution analysis, the manifestations of contribution include the absolute form (Du et al, 2022;M. Li et al, 2018;Zheng et al, 2009) and the relative form (Ding & Peng, 2021;X. Liu et al, 2011;Tang & Tang, 2021).…”

Section: Multi-year Contribution Analysismentioning

confidence: 99%

“…Many studies have yielded important insights into the effects of meteorological factors (e.g., air temperature, solar radiation, vapor pressure, and wind speed) on regional AED through correlation analysis (Irmak et al., 2012; Y. Li, Qin, et al., 2022; M. Liu et al., 2010; Valipour & Guzmán, 2022), regression analysis (Du et al., 2022; Fan & Thomas, 2018; Jerszurki et al., 2019; Y. Li, Qin, et al., 2022), sensitivity analysis (Guo et al., 2017; Jerszurki et al., 2019; Sharifi & Dinpashoh, 2014; Yang et al., 2019; Zeng et al., 2021; Zheng et al., 2009) and contribution assessment (Ding & Peng, 2021; Du et al., 2022; M. Li et al., 2018; X. Liu et al., 2011; Tang & Tang, 2021). For example, Tang and Tang (2021) used the partial differential method to assess the contribution of four meteorological factors to the AED in the Siberian basin, emphasizing the importance of saturation vapor pressure deficit and wind speed on the AED trend during 1975–2014.…”

Section: Introductionmentioning

confidence: 99%

“…Liu et al, 2010;Valipour & Guzmán, 2022), regression analysis (Du et al, 2022;Fan & Thomas, 2018;Jerszurki et al, 2019;Y. Li, Qin, et al, 2022), sensitivity analysis (Guo et al, 2017;Jerszurki et al, 2019;Sharifi & Dinpashoh, 2014;Yang et al, 2019;Zeng et al, 2021;Zheng et al, 2009) and contribution assessment (Ding & Peng, 2021;Du et al, 2022;M. Li et al, 2018;X.…”

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confidence: 99%

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A Method for Identifying the Dominant Meteorological Factors of Atmospheric Evaporative Demand in Mid‐Long Term

Liu

Xie

Fang

et al. 2023

Water Resources Research

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To better understand the changes in the atmospheric evaporative demand (AED) in the context of global warming, the anomaly contribution analysis is presented to estimate mid‐long term contributions of meteorological factors to the AED. The Pearson correlation coefficient (RP) between the total contribution (ψ) of meteorological factors and the relative variation (ϕ) of the AED, and the Sen's trend slope (βS) of (ϕ, ψ) scatters are used to evaluate the applicability of the method. The smaller the values of |1 − RP| and |1 − βS|, the more applicable the method is. To validate the method, the reference crop evapotranspiration is employed as a proxy for the AED. The multi‐year contribution analysis is used as a comparison approach, which can only investigate the dominant meteorological factors of the AED in long term. Moreover, the Huaihe River basin of China is taken as a case study. Results show that (a) the values of |1 − RP| and |1 − βS| in mid‐long term are less than 0.1 in most cases when applying the anomaly contribution analysis, and the mid‐long term contribution processes of meteorological factors to the AED are clearly demonstrated; and (b) the wind speed and sunshine hours are the two most dominant factors (the total absolute contribution exceeds 60%) in long term, but they are not always the dominant factors in mid‐long term (e.g., wind speed in summer, and sunshine hours in winter). Therefore, the anomaly contribution analysis is a reasonable and effective method, which can help to gain insights into the changes in the AED.

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Section: Methodsmentioning

confidence: 99%

Section: Multi-year Contribution Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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A Method for Identifying the Dominant Meteorological Factors of Atmospheric Evaporative Demand in Mid‐Long Term

Liu

Xie

Fang

et al. 2023

Water Resources Research

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“…Water isotopes in precipitation, vegetation, and soil water were observed at the Xiying River Basin Ranger Station (101°53′E, 37°41′N; 2721 m asl) from April to October 2019, and temperature, precipitation, and relative humidity data were obtained using the station's meteorological recorder. The monthly potential evapotranspiration data of 1 km in China (1990China ( -2021 with a spatial resolution of 0.0083333 ° ( Peng et al,2022;Dinget al,2020;Ding et al,2021 ) . The surface evapotranspiration data were obtained from the MODIS-based daily surface evapotranspiration data of the Qilian Mountains (2019), with a spatial resolution of 0.01° (Yao et al, 2017;Yao et al, 2020).…”

Section: Materials Sourcesmentioning

confidence: 99%

Hydrological effects of evapotranspiration in the Qilian Mountains forest belt

Jiao

Zhu

Qiu

et al. 2023

Preprint

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Abstract. Mountainous areas are the main water-producing and source areas of rivers. Global climate change is transforming the distribution of plants and forms of water use. Therefore, a clear understanding of evapotranspiration in mountainous forest zone is key for understanding the ecohydrological effect of vegetation and its influence on the water cycle of the watershed. We quantified the evapotranspiration processes in the forest belts of the Qilian Mountains as well as their contribution to runoff yield and concentration based on precipitation, soil water, and plant water samples and experimental data. The study showed that transpiration of Qinghai spruce accounted for the highest proportion of evapotranspiration in the entire Qinghai spruce forest ecosystem, with an average of 79 %, which means that transpiration is much greater than evaporation. Soil water content and air humidity were the dominant factors influencing evapotranspiration in Qinghai spruce forest belts. The growing season of Qinghai spruce is characterized by greater evapotranspiration than precipitation in each month. Consequently, the forest zone does not yield flows in the eastern part of the Qilian Mountains. The warming of global temperatures and human activities are likely to trigger shifts in the distribution areas and evapotranspiration regimes of Qinghai spruce, which in turn will lead to a change in water resource patterns in the basin.

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Evapotranspiration variation of soil‐plant‐atmosphere continuum in subalpine scrubland of Qilian Mountains in China

Yu,

Jia,

Zhang

et al. 2024

Hydrological Processes

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The water cycle in the soil‐plant‐atmosphere continuum is an important element of hydrological and ecological studies, and differences in the composition characteristics of hydrogen and oxygen stable isotopes in different water bodies can indicate water cycling processes. In this study, hydrogen and oxygen isotopes of precipitation, soil water and plant water samples had been collected in the subalpine scrubland of the Qilian Mountains from May to October 2019. The Craig‐Gordon model, the isotopic steady‐state (ISS) assumption, the Keeling Plot model and the two‐source mixing model were used to analyse the stable isotope compositions of different water bodies, the stable isotope characteristics of water vapour of soil evaporation and plant transpiration and the variation of evapotranspiration in the SPAC of the subalpine scrubland. The results showed that plant transpiration (FT) contributed 87.28% and 86.95% to evapotranspiration and soil evaporation (FE) contributed 12.72% and 13.05% to evapotranspiration in the growing season on semi‐sunny and semi‐shaded aspects, respectively, indicating that evapotranspiration in the subalpine scrubland mainly came from the transpiration of scrubland plants. In the early of the growing season (May–June), due to the rapid expansion of plant leaves, the contribution of transpiration to evapotranspiration was at a high level, which intensified transpiration and led to a gradual increase of the transpiration contribution. In the middle of the growing season (July–August), owing to better conditions of rain and heat that made plants grow vigorously, plant transpiration made the highest contribution to evapotranspiration more than 90%, which caused to an overwhelming contribution of plant transpiration to evapotranspiration. In the later of growing season (September to October), the contribution of plant transpiration to evapotranspiration decreased significantly while that of soil evaporation increased, which was because plant photosynthesis and respiration gradually declined for losing their leaves of scrub plants and the relative atmospheric humidity was lower.

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Spatiotemporal change and attribution of potential evapotranspiration over China from 1901 to 2100

Cited by 47 publications

References 36 publications

A Method for Identifying the Dominant Meteorological Factors of Atmospheric Evaporative Demand in Mid‐Long Term

A Method for Identifying the Dominant Meteorological Factors of Atmospheric Evaporative Demand in Mid‐Long Term

Hydrological effects of evapotranspiration in the Qilian Mountains forest belt

Evapotranspiration variation of soil‐plant‐atmosphere continuum in subalpine scrubland of Qilian Mountains in China

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