Rapid evaluation of reference evapotranspiration in Northern China

Zhao, Shaohua; Yang, Yonghui; Zhang, Feng; Sui, Xinxin; Yao, Yunjun; Zhao, Na; Zhao, Qiuxiao; Li, Chunqiang

doi:10.1007/s12517-013-1263-0

Cited by 16 publications

(10 citation statements)

References 30 publications

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“…This change may be mainly caused by the variations in Rs and VPD, which lead to the reduction in PET and terrestrial net primary production [9,40,41]. In other regions, PET tends to slight increasing trends of less than 3mm per year (p > 0.05), which is similar to the previously documented increasing trend in PET over Northern China, as reported by Zhao et al [14]. The spatial pattern of the linear trend in PET of China was examined using the gridded reanalysis meteorological datasets and GIMMIS-NDVI product.…”

Section: Spatial and Decadal Variability In Pet Of Chinasupporting

confidence: 86%

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Spatial and Decadal Variations in Potential Evapotranspiration of China Based on Reanalysis Datasets during 1982–2010

et al. 2014

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Potential evapotranspiration (PET) is an important indicator of atmospheric evaporation demand and has been widely used to characterize hydrological change. However, sparse observations of pan evaporation (EP) prohibit the accurate characterization of the spatial and temporal patterns of PET over large spatial scales. In this study, we have estimated PET of China using the Penman-Monteith (PM) method driven by gridded reanalysis datasets to analyze the spatial and decadal variations of PET in China during 1982-2010. The results show that the estimated PET has decreased on average by 3.3 mm per year (p < 0.05) over China during 1982-1993, while PET began to increase since 1994 by 3.4 mm per year (p < 0.05). The spatial pattern of the linear trend in PET of China illustrates that a widely significant increasing trend in PET appears during 1982-2010 in Northwest China, Central China, Northeast China and South China while there are no obvious variations of PET in other regions. Our findings illustrate that incident solar radiation (Rs) is the largest contributor to the variation of PET in China, followed by vapor OPEN ACCESSAtmosphere 2014, 5 738 pressure deficit (VPD), air temperature (Tair) and wind speed (WS). However, WS is the primary factor controlling inter-annual variation of PET over Northwest China.

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Section: Spatial and Decadal Variability In Pet Of Chinasupporting

confidence: 86%

“…PET represents the maximum evapotranspiration rate in response to forcing meteorological factors given an unlimited water supply [13,14,51,52]. According to the FAO PM method, the variations in Rs, VPD, Tair and WS all contribute to changes of the PET.…”

Section: Variations In Climatic Variables For Contributing To Petmentioning

confidence: 99%

Spatial and Decadal Variations in Potential Evapotranspiration of China Based on Reanalysis Datasets during 1982–2010

et al. 2014

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“…As shown in Figure 5c, in the humid areas, such as the southeast coast and north part of Northeast China, the changes in ET are unrestricted by water supply because of relatively abundant soil moisture. PET, an important indicator of atmospheric evaporation demand, represents the maximum ET rate when given an unlimited water supply and may influence the trends of ET in these areas [73,74]. Mo et al [56] suggested that there exists an opposite trend of ET and PET in China, which reveals a complementary relationship between ET and PET.…”

Section: Climate Change Controls On Land Et Trends In Northeast Chinamentioning

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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“…Feng et al [12] compared extreme learning machine, genetic algorithm, wavelet neural networks, and empirical RET models. These studies consistently show that the FAO P-M method is considered to be the most appropriate model to calculate the RET, which can be globally used, and has been widely tested under a broad range of climate conditions [13][14][15]. Talaee et al [16] analyzed the RET trend on a seasonal and annual timescale by applying various statistical tools over Iran.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Changes of Reference Evapotranspiration in Mongolia during 1980–2006

Wang

et al. 2016

Advances in Meteorology

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Reference evapotranspiration (RET) plays an important role in the terrestrial hydrological cycle. Applying the Penman-Monteith method, the RET over Mongolia was estimated from 1980 to 2006. The changing trends and magnitude of RET were detected by the Mann-Kendall test and Theil-Sen’s slope methods. Meanwhile, aridity indices were estimated using two different indices. The impacts of meteorological variables on RET were assessed through sensitive analysis by comparing the resulting RETs from artificially disturbed meteorological variables. The results indicated that the RET for 16 stations in Mongolia showed an increasing trend, particularly in the center and south. The calculated RET was higher than precipitation, which means severe droughts in Mongolia. The spatial patterns of RET are significantly influenced by climatic conditions as well as characteristics of the underlying surface (e.g., elevation and vegetation). The mean annual RET decreased from the south to the north, owing to sparse vegetation in the south of Mongolia. The sensitivity analysis revealed that the changes of RET were strongly affected by air temperature and relative humidity.

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Rapid evaluation of reference evapotranspiration in Northern China

Cited by 16 publications

References 30 publications

Spatial and Decadal Variations in Potential Evapotranspiration of China Based on Reanalysis Datasets during 1982–2010

Spatial and Decadal Variations in Potential Evapotranspiration of China Based on Reanalysis Datasets during 1982–2010

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

Spatiotemporal Changes of Reference Evapotranspiration in Mongolia during 1980–2006

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