Regional estimation and validation of remotely sensed evapotranspiration in China

Zhan, Chesheng; Yin, Jun; Wang, Feiyu; Dong, Qingqing

doi:10.1016/j.catena.2015.04.018

Cited by 14 publications

(6 citation statements)

References 35 publications

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“…Conversely, in Figure 15, R n shows a similar magnitude but a negative correlation coefficient (R ≥ −0.5, p < 0.05) with ET and its components' variability except for E w (Figure 15e) in arid and semi-arid conditions. These results are consistent with eco-climatic conditions where the hydrologic cycle is dominated by the water supply [59,60].…”

Section: Statistical Indicessupporting

confidence: 89%

Evapotranspiration and its Components in the Nile River Basin Based on Long-Term Satellite Assimilation Product

Nooni

Wang

Hagan

et al. 2019

Water

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Actual evapotranspiration (ET) and its individual components’ contributions to the water–energy nexus provide insights into our hydrological cycle in a changing climate. Based on long-term satellite ET data assimilated by the Global Land Evaporation Amsterdam Model (GLEAM), we analyzed changes in ET and its components over the Nile River Basin from 1980 to 2014. The results show a multi-year mean ET of 518 mm·year–1. The long-term ET trend showed a decline at a rate of 18.8 mm·year–10. ET and its components showed strong seasonality and the ET components’ contribution to total ET varied in space and time. ET and its components decreased in humid regions, which was related to precipitation deficits. ET increases in arid-semiarid regions were due to water availability from crop irrigation fields in the Nile Plain. Precipitation was the dominant limiting driver of ET in the region. Vegetation transpiration (an average of 78.1% of total ET) dominated the basin’s water fluxes, suggesting biological fluxes play a role in the regional water cycle’s response to climate change. This analysis furthers our understanding of the water dynamics in the region and may significantly improve our knowledge of future hydrological modelling.

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Section: Statistical Indicessupporting

confidence: 89%

Evapotranspiration and its Components in the Nile River Basin Based on Long-Term Satellite Assimilation Product

Nooni

Wang

Hagan

et al. 2019

Water

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“…Some studies presented a modification of the SEBS inner structure in terms of: (i) momentum roughness length and zero plane displacement; (ii) an empirical relationship between land surface temperature and air temperature; and (iii) designing a new input interface of meteorological field at reference, with the objective of representing land surface and climatic changes of a specific region. These studies adapted SEBS to be applicable in different countries like Taiwan (SEBS-Taiwan, [102]), China (SEBS-China, [103]) or Iran (SEBS-Iran, [104]). SEBS was also modified at local scale (SEBS-Urban, [105]) after including the anthropogenic heat flux in the SEB equation to estimate the ET of Beijing city.…”

Section: Surface Energy Balance System (Sebs) Modelmentioning

confidence: 99%

Evapotranspiration Acquired with Remote Sensing Thermal-Based Algorithms: A State-of-the-Art Review

2022

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Almost fifty years have passed since the idea to retrieve a value for Evapotranspiration (ET) using remote sensing techniques was first considered. Numerous ET models have been proposed, validated and improved along these five decades, as the satellites and sensors onboard were enhanced. This study reviews most of the efforts in the progress towards providing a trustworthy value of ET by means of thermal remote sensing data. It starts with an in-depth reflection of the surface energy balance concept and of each of its terms, followed by the description of the approaches taken by remote sensing models to estimate ET from it in the last thirty years. This work also includes a chronological review of the modifications suggested by several researchers, as well as representative validations studies of such ET models. Present limitations of ET estimated with remote sensors onboard orbiting satellites, as well as at surface level, are raised. Current trends to face such limitations and a future perspective of the discipline are also exposed, for the reader’s inspiration.

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“…To estimate regional ET, SEBS requires accurate gridded meteorological data as input [23]. Earlier studies used gridded meteorological data interpolated from site measurements using mathematical interpolation [24][25][26][27] to provide input for the SEBS model. However, using mathematical interpolation from station measurements cannot effectively consider the heterogeneity of the underlying surface [28].…”

Section: Introductionmentioning

confidence: 99%

Improving Meteorological Input for Surface Energy Balance System Utilizing Mesoscale Weather Research and Forecasting Model for Estimating Daily Actual Evapotranspiration

Wang

Zhan

et al. 2019

Water

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Using Surface Energy Balance System (SEBS) to estimate actual evapotranspiration (ET) on a regional scale generally uses gridded meteorological data by interpolating data from meteorological stations with mathematical interpolation. The heterogeneity of underlying surfaces cannot be effectively considered when interpolating meteorological station measurements to gridded data only by mathematical interpolation. This study aims to highlight the improvement of modeled meteorological data from the Weather Research and Forecasting (WRF) mesoscale numerical model which fully considers the heterogeneity of underlying surfaces over the data from mathematical interpolation method when providing accurate meteorological input for SEBS model. Meteorological data at 1 km resolution in the Hotan Oasis were simulated and then were put into SEBS model to estimate the daily actual ET. The accuracy of WRF simulation was evaluated through comparison with data collected at the meteorological station. Results found that the WRF-simulated wind speed, air temperature, relative humidity and surface pressure correlate well with the meteorological stations measurements (R 2 are 0.628, 0.8242, 0.8089 and 0.8915, respectively). Comparison between ET calculated using the meteorological data simulated from the WRF (ETa-WRF) and meteorological data interpolated from measurements at met stations (ETa-STA) showed that ETa-WRF could better reflect the ET difference between different land cover, and capture the vegetation growing trend, especially in areas with sparse vegetation, where ETa-STA intends to overestimate. In addition, ETa-WRF has less noise in barren areas compared to ETa-STA. Our findings suggest that WRF can provide more reliable meteorological input for SEBS model than mathematical interpolation method.

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Regional estimation and validation of remotely sensed evapotranspiration in China

Cited by 14 publications

References 35 publications

Evapotranspiration and its Components in the Nile River Basin Based on Long-Term Satellite Assimilation Product

Evapotranspiration and its Components in the Nile River Basin Based on Long-Term Satellite Assimilation Product

Evapotranspiration Acquired with Remote Sensing Thermal-Based Algorithms: A State-of-the-Art Review

Improving Meteorological Input for Surface Energy Balance System Utilizing Mesoscale Weather Research and Forecasting Model for Estimating Daily Actual Evapotranspiration

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