Increasing Cloud Coverage Deteriorates Evapotranspiration Estimating Accuracy From Satellite, Reanalysis and Land Surface Models Over East Asia

Wang, Yipu; Hu, Jiheng; Song, Binbin; Hailemariam, Mengsteab; Fu, Yuyun; Duan, Jiawei

doi:10.1029/2022gl102706

Cited by 5 publications

(6 citation statements)

References 75 publications

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“…This means that it could be more suitable for using microwave ET models to study short-term interactions between ET and the atmosphere over forest areas. This can be supported by our recent evaluation study that found the microwave ET EDVI generated significantly lower bias errors (<20%) under moderate and heavy cloud cover when compared with other ET used in this study (>50%) (Wang et al, 2023).…”

Section: Different Responses Among Et Data Sets and Associated Uncert...supporting

confidence: 86%

“…Various vegetation cover implies that the roles of plant transpiration (ETveg) and soil evaporation (ETsoil) are variable in the total ET response. (Wang et al, 2023). In addition, the results in this study also show that compared to other ET datasets, ET EDVI has the highest sensitivity to clouds for capturing the ΔET under clouds (Figure 4; Figure 6).…”

Section: Divergent Cloud Effects On Transpiration and Evaporationsupporting

confidence: 61%

“…Previous studies have extensively validated GLASS Rn over the world and show a good accuracy of GLASS Rn (Jiang et al, 2016(Jiang et al, , 2018. Particularly, our recent evaluation has found that GLASS radiation can generate better accuracy under cloudy sky than other satellite and reanalysis radiation products (Wang et al, 2023).…”

Section: Atmospheric and Surface Variablesmentioning

confidence: 82%

“…However, owing to the highly coupled nature of land surface-atmosphere systems, it becomes almost impossible to fully separate those mutual effects of different factors. Our previous studies have used the similar method to indicate the variables' changes associated with clouds under non-rainy conditions (Wang, Li, Hu, Fu, et al, 2021;Wang et al, 2023).…”

Section: Identification Of Variables' Change Associated With Cloudsmentioning

confidence: 99%

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Divergent Responses of Summer Terrestrial Evapotranspiration to Cloud Increase in East Asia

Wang,

Li,

Song

et al. 2024

JGR Atmospheres

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Cloud impact on terrestrial evapotranspiration (ET) can be significant, while a fundamental understanding of ET response to cloud change has not been addressed in regional aspects. In this study, seven ET datasets from satellite and land surface models are used to analyze the summer ET in response to low cloud cover (LCC) over East Asia, in combination with satellite microwave and optical vegetation data, as well as ERA5 climatic and surface parameters. In general, all ET datasets present a strong negative relationship with LCC over dense vegetation (e.g., forests), which leads to the ET reduction of more than −0.5 mmday−1 under the large LCC increase, compared with the least cloudy sky conditions. Such reduction is stronger under more humid and denser forests (aridity index AI > 0.5 and enhanced vegetation index EVI > 0.6). In contrast, a positive relationship between ET and LCC presents over arid and sparse lands (AI < 0.2 and EVI < 0.2), accompanied by enhanced ET (>0.2 mmday−1). Analysis shows that under increased LCC conditions, substantial reduction in radiation availability results in the decline in both plant transpiration (ETveg) and soil evaporation (ETsoil) over humid dense vegetation, dominating the overall negative response. The increase of near‐surface relative humidity over arid sparse vegetation may indicate a stronger moisture availability, which promotes ETsoil and partly offsets the negative effect of radiation reduction. The change of vegetation water content, indicated by a satellite microwave vegetation index, is important for ETveg over arid mountainous lands with cloud cover. These findings contribute new insights to the understanding of vegetation‐atmosphere interactions.

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Section: Different Responses Among Et Data Sets and Associated Uncert...supporting

confidence: 86%

Section: Divergent Cloud Effects On Transpiration and Evaporationsupporting

confidence: 61%

Section: Atmospheric and Surface Variablesmentioning

confidence: 82%

Section: Identification Of Variables' Change Associated With Cloudsmentioning

confidence: 99%

See 2 more Smart Citations

Divergent Responses of Summer Terrestrial Evapotranspiration to Cloud Increase in East Asia

Wang,

Li,

Song

et al. 2024

JGR Atmospheres

Self Cite

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show abstract

“…It is well known that one of the major challenges in achieving accurate estimation of ET using satellite-based optical models is the presence of clouds, and the bias errors associated with it are not yet fully understood, particularly in models that consider radiative balance (Chen & Liu, 2020). In this regard, Wang et al (2023) demonstrate that despite good performance in ensemble analysis of ET estimation datasets, all models exhibited systematic overestimation and limited ability to identify changes in crop ET under cloudy conditions, especially for densely vegetated areas. Overestimated SR was identified as one of the contributing factors to the lower ET yields, as observed in the present study, with air temperature and relative humidity emerging as dominant factors in semi-arid conditions.…”

Section: Discussionmentioning

confidence: 99%

Using a crop water stress index to determine water use efficiency in a raspberry crop in the Mediterranean Central Chile

Vargas‐Castro,

Mattar,

Seguel

et al. 2023

Irrigation and Drainage

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Water availability is projected to decrease in Mediterranean Central Chile, necessitating sustainable production strategies based on improved irrigation management. This study focuses on estimating water use efficiency (WUE) in raspberry crops at two validation sites using remote sensing and soil irrigation data. By employing the crop water stress index (CWSI), we demonstrate the potential of this tool in enhancing irrigation management and establishing sustainable production practices. The results demonstrate the successful estimation of actual evapotranspiration (ETa) using the Operational Simplified Surface Energy Balance (SSEBop) model (coefficient of determination [R2] = 0.92; root mean square error [RMSE] = 0.97 mm day−1), while the CWSI indicated high stress levels after 5 days of irrigation. Moreover, validation at two sites reveals significant differences in applied irrigation, with sites A and B receiving 17,097 and 3760 m3 ha−1, respectively, while the average water demand is close to 5300 m3 ha−1. These variations result in discrepancies in WUE, with values of 0.79 and 3.64 kg m−3. By integrating remote sensing indices and soil data, this study proposes that maintaining an 85% ETa rate during noncritical periods can enhance WUE. This work demonstrates the potential use of a water stress index to monitor crops in the Chilean central zone for efficient water resource use under future scarcity scenarios.

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Climatic characteristics and meteorology-sensitivity of surface solar radiation in reanalysis products compared to observations and satellite data over China

Wen,

Liu,

et al. 2024

Atmospheric Environment

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Increasing Cloud Coverage Deteriorates Evapotranspiration Estimating Accuracy From Satellite, Reanalysis and Land Surface Models Over East Asia

Cited by 5 publications

References 75 publications

Divergent Responses of Summer Terrestrial Evapotranspiration to Cloud Increase in East Asia

Divergent Responses of Summer Terrestrial Evapotranspiration to Cloud Increase in East Asia

Using a crop water stress index to determine water use efficiency in a raspberry crop in the Mediterranean Central Chile

Climatic characteristics and meteorology-sensitivity of surface solar radiation in reanalysis products compared to observations and satellite data over China

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